dependencies.yaml

# SPDX-FileCopyrightText: Copyright (c) 2022-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0

# Dependency list for https://github.com/rapidsai/dependency-file-generator
files:
  all:
    output: conda
    matrix:
      cuda: ["12.9", "13.3"]
      arch: [x86_64, aarch64]
    includes:
      - common_build
      - cuda
      - cutile_python
      - cuda_version
      - depends_on_cudf
      - depends_on_cuda_python
      - depends_on_cupy
      - depends_on_rapids_dask_dependency
      - depends_on_dask_cuda
      - depends_on_dask_cudf
      - depends_on_libcuvs
      - depends_on_libnvforest
      - depends_on_libraft
      - depends_on_librmm
      - depends_on_numba_cuda
      - depends_on_numba_cuda_mlir
      - depends_on_nvforest
      - depends_on_pylibraft
      - depends_on_raft_dask
      - depends_on_rapids_logger
      - depends_on_rmm
      - develop
      - docs
      - py_build_cuml
      - py_run_cuml
      - py_version
      - rapids_build_backend
      - test_python
      - test_python_dask
      - test_python_xgboost
  cpp_all:
    output: conda
    matrix:
      cuda: ["12.9", "13.3"]
      arch: [x86_64]
    includes:
      - common_build
      - cuda
      - cuda_version
      - depends_on_libcuvs
      - depends_on_libnvforest
      - depends_on_libraft_headers
      - depends_on_librmm
  checks:
    output: none
    includes:
      - checks
      - py_version
  clang_tidy:
    output: conda
    matrix:
      cuda: ["12.9", "13.3"]
      arch: [x86_64]
    includes:
      - clang_tidy
      - common_build
      - cuda
      - cuda_version
      - depends_on_libcuvs
      - depends_on_libnvforest
      - depends_on_libraft_headers
      - depends_on_librmm
  docs:
    output: none
    includes:
      - cuda_version
      - docs
      - py_version
      - depends_on_cuml
      - depends_on_libcuml
      - depends_on_libnvforest
      - depends_on_rapids_dask_dependency
      - depends_on_dask_cuda
      - depends_on_dask_cudf
      - depends_on_raft_dask
  test_cpp:
    output: none
    includes:
      - cuda_version
      - depends_on_libcuml
      - depends_on_libnvforest
      - test_libcuml
      - test_cpp
  test_integration_bertopic:
    output: none
    includes:
      - test_bertopic
  test_python:
    output: none
    includes:
      - cuda_version
      - depends_on_cuml
      - depends_on_cupy
      - depends_on_libcuml
      - depends_on_nvforest
      - depends_on_numba_cuda
      - depends_on_numba_cuda_mlir
      - py_version
      - test_python
      - test_python_xgboost
  test_python_accel_sklearn:
    output: none
    includes:
      - cuda_version
      - depends_on_cuml
      - depends_on_cupy
      - depends_on_libcuml
      - depends_on_nvforest
      - py_version
      - test_python
      - test_python_accel_sklearn
  test_python_dask:
    output: none
    includes:
      - cuda_version
      - depends_on_cuml
      - depends_on_cupy
      - depends_on_libcuml
      - depends_on_libnvforest
      - py_version
      - test_python
      - test_python_xgboost
      - test_python_dask
      - depends_on_rapids_dask_dependency
      - depends_on_dask_cudf
      - depends_on_raft_dask
      - depends_on_dask_cuda
  test_notebooks:
    output: none
    includes:
      - cuda_version
      - depends_on_cuml
      - depends_on_cupy
      - depends_on_rapids_dask_dependency
      - depends_on_dask_cuda
      - depends_on_dask_cudf
      - depends_on_nvforest
      - depends_on_pylibraft
      - depends_on_raft_dask
      - depends_on_rmm
      - py_run_cuml
      - py_version
      - test_notebooks
      - test_python_xgboost
  py_build_cuml:
    output: pyproject
    pyproject_dir: python/cuml
    extras:
      table: build-system
    includes:
      - rapids_build_backend
  py_rapids_build_cuml:
    output: pyproject
    pyproject_dir: python/cuml
    matrix:
      cuda_suffixed: ["false"]
      use_cuda_wheels: ["true"]
    extras:
      table: tool.rapids-build-backend
      key: requires
    includes:
      - common_build
      - depends_on_cuda_python
      - depends_on_libcuml
      - depends_on_libnvforest
      - depends_on_libraft
      - depends_on_librmm
      - depends_on_nvforest
      - depends_on_pylibraft
      - depends_on_rmm
      - py_build_cuml
  py_run_cuml:
    output: pyproject
    pyproject_dir: python/cuml
    matrix:
      cuda_suffixed: ["false"]
      use_cuda_wheels: ["true"]
    extras:
      table: project
    includes:
      - cuda_wheels
      - depends_on_cuda_python
      - depends_on_cudf
      - depends_on_cupy
      - depends_on_libcuml
      - depends_on_nvforest
      - depends_on_pylibraft
      - depends_on_rmm
      - py_run_cuml
  py_test_cuml:
    output: pyproject
    pyproject_dir: python/cuml
    matrix:
      cuda_suffixed: ["false"]
      use_cuda_wheels: ["true"]
    extras:
      table: project.optional-dependencies
      key: test
    includes:
      - test_python
      - test_python_xgboost
      - depends_on_numba_cuda
      - depends_on_numba_cuda_mlir
  py_dask_cuml:
    output: pyproject
    pyproject_dir: python/cuml
    matrix:
      cuda_suffixed: ["false"]
      use_cuda_wheels: ["true"]
    extras:
      table: project.optional-dependencies
      key: dask
    includes:
      - depends_on_rapids_dask_dependency
      - depends_on_dask_cudf
      - depends_on_raft_dask
  py_test_dask_cuml:
    output: pyproject
    pyproject_dir: python/cuml
    matrix:
      cuda_suffixed: ["false"]
      use_cuda_wheels: ["true"]
    extras:
      table: project.optional-dependencies
      key: test-dask
    includes:
      - depends_on_dask_cuda
      - test_python_dask
  py_build_libcuml:
    output: pyproject
    pyproject_dir: python/libcuml
    extras:
      table: build-system
    includes:
      - rapids_build_backend
  py_rapids_build_libcuml:
    output: pyproject
    pyproject_dir: python/libcuml
    matrix:
      cuda_suffixed: ["false"]
      use_cuda_wheels: ["true"]
    extras:
      table: tool.rapids-build-backend
      key: requires
    includes:
      - common_build
      - depends_on_libcuvs
      - depends_on_libnvforest
      - depends_on_libraft
      - depends_on_librmm
      - depends_on_rapids_logger
  py_run_libcuml:
    output: pyproject
    pyproject_dir: python/libcuml
    matrix:
      cuda_suffixed: ["false"]
      use_cuda_wheels: ["true"]
    extras:
      table: project
    includes:
      - cuda_wheels
      - depends_on_libcuvs
      - depends_on_libnvforest
      - depends_on_libraft
      - depends_on_librmm
      - depends_on_rapids_logger
channels:
  - rapidsai-nightly
  - rapidsai
  - conda-forge
dependencies:
  rapids_build_backend:
    common:
      - output_types: [conda, requirements, constraints, pyproject]
        packages:
          - rapids-build-backend>=0.4.0,<0.5.0
      - output_types: [conda, constraints]
        packages:
          - scikit-build-core>=0.11.0
      - output_types: [requirements, pyproject]
        packages:
          - scikit-build-core[pyproject]>=0.11.0
  checks:
    common:
      - output_types: [conda, requirements, constraints]
        packages:
          - pre-commit
  clang_tidy:
    common:
      - output_types: [conda, requirements, constraints]
        packages:
          - clang==20.1.8
          - clang-tools==20.1.8
          - llvm-openmp==20.1.8
          - ninja
          - tomli
  common_build:
    common:
      - output_types: [conda, requirements, constraints, pyproject]
        packages:
          - &cmake_ver cmake>=4.0
          - ninja
      - output_types: conda
        packages:
          - c-compiler
          - cuda-nvcc
          - cxx-compiler
    specific:
      - output_types: conda
        matrices:
          - matrix:
              arch: x86_64
            packages:
              - gcc_linux-64=14.*
              - sysroot_linux-64==2.28
          - matrix:
              arch: aarch64
            packages:
              - gcc_linux-aarch64=14.*
              - sysroot_linux-aarch64==2.28
  develop:
    common:
      - output_types: [conda, requirements, constraints]
        packages:
          - pre-commit
      - output_types: conda
        packages:
          - ccache
  py_build_cuml:
    common:
      - output_types: [conda, requirements, constraints, pyproject]
        packages:
          # skipping Cython 3.2.7 because of https://github.com/cython/cython/issues/7781
          - &cython cython>=3.2.2,!=3.2.7
          - treelite==4.8.1
  py_run_cuml:
    common:
      - output_types: [conda, requirements, constraints, pyproject]
        packages:
          - joblib>=0.11
          - &numpy numpy>=2.0,<3.0
          - scipy>=1.14.0
          - packaging
          - rich
          - &scikit_learn scikit-learn>=1.6
          - treelite==4.*,>=4.8.1
  # 'cuda_version' intentionally does not contain fallback entries... we want
  # a loud error if an unsupported 'cuda' value is passed
  cuda_version:
    specific:
      - output_types: conda
        matrices:
          - matrix:
              cuda: "12.2"
            packages:
              - cuda-version=12.2
          - matrix:
              cuda: "12.5"
            packages:
              - cuda-version=12.5
          - matrix:
              cuda: "12.8"
            packages:
              - cuda-version=12.8
          - matrix:
              cuda: "12.9"
            packages:
              - cuda-version=12.9
          - matrix:
              cuda: "13.0"
            packages:
              - cuda-version=13.0
          - matrix:
              cuda: "13.1"
            packages:
              - cuda-version=13.1
          - matrix:
              cuda: "13.2"
            packages:
              - cuda-version=13.2
          - matrix:
              cuda: "13.3"
            packages:
              - cuda-version=13.3
      - output_types: [requirements, constraints]
        matrices:
          # if use_cuda_wheels=false is provided, do not add dependencies on any CUDA wheels
          # (e.g. for DLFW and pip devcontainers)
          - matrix:
              use_cuda_wheels: "false"
            packages:
          - matrix:
              arch: aarch64
              cuda: "12.2"
              use_cuda_wheels: "true"
            packages:
              # some components (like nvidia-cublas-cu12 and nvidia-cuda-nvcc-cu12) didn't have
              # aarch64 wheels until CTK 12.3, so allow a slightly looser bound here
              - cuda-toolkit>=12.2,<12.4
          - matrix:
              cuda: "12.2"
              use_cuda_wheels: "true"
            packages:
              - cuda-toolkit==12.2.*
          - matrix:
              cuda: "12.5"
              use_cuda_wheels: "true"
            packages:
              - cuda-toolkit==12.5.*
          - matrix:
              cuda: "12.8"
              use_cuda_wheels: "true"
            packages:
              - cuda-toolkit==12.8.*
          - matrix:
              cuda: "12.9"
              use_cuda_wheels: "true"
            packages:
              - cuda-toolkit==12.9.*
          - matrix:
              cuda: "13.0"
              use_cuda_wheels: "true"
            packages:
              - cuda-toolkit==13.0.*
          - matrix:
              cuda: "13.1"
              use_cuda_wheels: "true"
            packages:
              - cuda-toolkit==13.1.*
          - matrix:
              cuda: "13.2"
              use_cuda_wheels: "true"
            packages:
              - cuda-toolkit==13.2.*
          - matrix:
              cuda: "13.3"
              use_cuda_wheels: "true"
            packages:
              - cuda-toolkit==13.3.*
  # NOTE: 'tileiras' is needed too, but in CI that's provided by a system-installed CTK.
  cutile_python:
    specific:
      - output_types: [requirements, constraints, pyproject]
        matrices:
          - matrix:
              cuda: "12.*"
            packages:
          - matrix:
              cuda: "13.*"
            packages:
              - &cutile_python_cu13 cuda-tile
          # if no matching matrix selectors passed, list the CUDA 13 requirement
          # (as a source of documentation in the generated pyproject.toml)
          - matrix:
            packages:
              - *cutile_python_cu13
  cuda:
    common:
      - output_types: [conda]
        packages:
          - cuda-cudart-dev
          - cuda-profiler-api
          - libcublas-dev
          - libcufft-dev
          - libcurand-dev
          - libcusolver-dev
          - libcusparse-dev
  cuda_wheels:
    specific:
      # cuML needs 'nvJitLink>={whatever-cuml-was-built-against}' at runtime, and mixing
      # old-CTK with new-nvJitLink is supported, so maintain 1 entry here per CUDA major.minor
      # cuML is built against.
      #
      # nvJitLink has historically roughly followed the CTK's minor versioning scheme,
      # but check at https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html
      - output_types: [requirements, constraints, pyproject]
        matrices:
          # if use_cuda_wheels=false is provided, do not add dependencies on any CUDA wheels
          # (e.g. for DLFW and pip devcontainers)
          - matrix:
              use_cuda_wheels: "false"
            packages:
          # We always want nvJitLink >= whatever minor version was available in the build environment
          # nvJitLink tends to follow the CTK's minor versions, but check at https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html
          #
          # ref: https://github.com/NVIDIA/cudf/pull/20873
          - matrix:
              cuda: "12.9"
              use_cuda_wheels: "true"
            packages:
              - cuda-toolkit[cublas,cufft,curand,cusolver,cusparse]==12.*
              - nvidia-nvjitlink-cu12>=12.9,<13
          - matrix:
              cuda: "13.*"
              use_cuda_wheels: "true"
            packages:
              - &ctk_cu13 cuda-toolkit[cublas,cufft,curand,cusolver,cusparse]==13.*
              - &nvjitlink_cu13 nvidia-nvjitlink>=13.3,<14
          # if no matching matrix selectors passed, list the CUDA 13 requirement
          # (just as a source of documentation, as this populates pyproject.toml in source control)
          - matrix:
              use_cuda_wheels: "true"
            packages:
              - *ctk_cu13
              - *nvjitlink_cu13
  docs:
    common:
      - output_types: [conda, requirements, constraints]
        packages:
          - breathe>=5.1.0
          - graphviz
          - ipython
          - ipykernel
          - nbsphinx
          - &onnxruntime onnxruntime
          - recommonmark
          - *scikit_learn
          - &skl2onnx skl2onnx
          - sphinx
          - sphinx-copybutton
          - sphinx-design
          - sphinx-llm>=1.1.0
          - sphinx-markdown-tables
      - output_types: conda
        packages:
          - doxygen=1.18.0
          - matplotlib-base
          - numpydoc
          - pip:
              - nvidia-sphinx-theme
      - output_types: [requirements, constraints]
        packages:
          - matplotlib
          - nvidia-sphinx-theme
  py_version:
    specific:
      - output_types: conda
        matrices:
          - matrix:
              py: "3.12"
            packages:
              - python=3.12
          - matrix:
              py: "3.13"
            packages:
              - python=3.13
          - matrix:
              py: "3.14"
            packages:
              - python=3.14
          - matrix:
            packages:
              - python>=3.12
  test_bertopic:
    common:
      - output_types: [requirements, constraints]
        packages:
          - bertopic>=0.17.4
    specific:
      # The 'pytorch.org' indices referenced in --extra-index-url below host CPU-only variants too,
      # so requirements like '>=' are not safe.
      #
      # Using '==' and a version with the CUDA specifier like '+cu132' is the most reliable way to ensure
      # the packages we want are pulled (at the expense of needing to maintain this list).
      - output_types: [requirements, constraints]
        matrices:
          - matrix:
              cuda: "12.*"
            packages:
              - --extra-index-url=https://download.pytorch.org/whl/cu129
              - torch==2.10.0+cu129
          - matrix:
              cuda: "13.*"
            packages:
              - --extra-index-url=https://download.pytorch.org/whl/cu132
              - torch==2.12.1+cu132
  test_libcuml:
    common:
      - output_types: conda
        packages:
          - libcuml-tests==26.12.*,>=0.0.0a0
  test_cpp:
    common:
      - output_types: conda
        packages:
          - *cmake_ver
  test_python:
    specific:
      - output_types: [conda, requirements, constraints, pyproject]
        matrices:
          # Package versions to use for the "oldest-dep" CI run
          - matrix: {dependencies: "oldest"}
            packages:
              - scikit-learn==1.6.0
              - umap-learn==0.5.7
              - hdbscan==0.8.39
              - numpy==2.0
          - matrix:
            packages:
      - output_types: [requirements, constraints]
        matrices:
          - matrix: {dependencies: "nightly"}
            packages:
              - --extra-index-url=https://pypi.anaconda.org/scientific-python-nightly-wheels/simple
              # Pre-release specifier tells pip to accept dev/alpha/beta versions
              - scikit-learn>=1.6.0a0
          - matrix:
            packages:
      # ipython for "oldest" is split: conda uses 8.x (7.x has no Python 3.12+ packages),
      # pip uses 7.34.0 from PyPI (which supports Python 3.12+)
      - output_types: [conda]
        matrices:
          - matrix: {dependencies: "oldest"}
            packages:
              - ipython=8
          - matrix:
            packages:
      - output_types: [requirements, constraints, pyproject]
        matrices:
          - matrix: {dependencies: "oldest"}
            packages:
              - ipython==7.34.0
          - matrix:
            packages:
      # TODO: we're seeing test failures with openblas > 0.3.30 on aarch64. For
      # now we pin openblas in tests on that architecture.
      - output_types: [conda]
        matrices:
          - matrix:
              arch: aarch64
            packages:
              - libopenblas<=0.3.30
          - matrix:
            packages:
      - output_types: [conda, requirements, constraints, pyproject]
        matrices:
          - matrix:
              dependencies: "oldest"
              cuda: "12.*"
            packages:
              - cuda-bindings==12.9.3
          - matrix:
              dependencies: "oldest"
              cuda: "13.*"
            packages:
              - cuda-bindings==13.0.2
          - matrix:
            packages:
    common:
      - output_types: [conda, requirements, constraints, pyproject]
        packages:
          - certifi
          - *cython
          - hdbscan>=0.8.39
          - hypothesis>=6.0,<7
          - ipython>=7.32.0
          - jsonschema
          - msgspec
          - nltk
          # 'nvidia-ml-py' provides the 'pynvml' module
          - nvidia-ml-py>=12
          - *onnxruntime
          - *skl2onnx
          # psutil 7.2.2 has a process-wait race; remove pin after a fixed release.
          # https://github.com/giampaolo/psutil/issues/2715
          - psutil!=7.2.2
          - pytest
          - pytest-benchmark
          - pytest-cov
          - pytest-xdist
          - pyyaml
          - rfc3339-validator
          - rfc3986-validator
          - *scikit_learn
          - seaborn
          - umap-learn>=0.5.7,<0.5.13
          - pynndescent
          - lightgbm
          - shap
      - output_types: conda
        packages:
          - cuvs==26.12.*,>=0.0.0a0
          # upstream sklearn docstring tests require numpydoc<1.9
          #
          # 'numpydoc' is intentionally conda-only, see https://github.com/NVIDIA/cuml/issues/7710
          - numpydoc<1.9
  test_python_accel_sklearn:
    # Exact pin the sklearn versions used for running upstream sklearn tests
    # in cuml.accel. We exact pin here since our xfail list is tightly coupled
    # to the version of sklearn we're running. The code should run with a much
    # more flexible set of sklearn dependencies, this pinning is just for CI.
    specific:
      - output_types: [conda, requirements, constraints, pyproject]
        matrices:
          - matrix: {dependencies: "latest"}
            packages:
              - scikit-learn==1.9.1
          - matrix: {dependencies: "intermediate"}
            packages:
              - scikit-learn==1.8.0
          - matrix: {dependencies: "oldest"}
            packages:
              - scikit-learn==1.6.0
  test_python_dask:
    common:
      - output_types: [conda, requirements, constraints, pyproject]
        packages:
          - dask-ml>=2024
  test_python_xgboost:
    specific:
      - output_types: [conda]
        matrices:
          - matrix:
            packages:
              - xgboost>=3.3.0
      - output_types: [requirements, constraints, pyproject]
        matrices:
          - matrix:
              cuda: "12.*"
              cuda_suffixed: "true"
            packages:
              - xgboost-cu12>=2.1.0
          - matrix:
              cuda: "13.*"
              cuda_suffixed: "true"
            packages:
              - xgboost-cu13>=2.1.0
          # this unsuffixed dependency is useful in environments where xgboost is built from source
          # (like RAPIDS DLFW builds)
          - matrix:
              cuda_suffixed: "false"
            packages:
              - xgboost>=2.1.0
  test_notebooks:
    common:
      - output_types: [conda, requirements, constraints]
        packages:
          - dask-ml==2025.1.0
          - jupyter
          - *numpy
          - pandas
          - *scikit_learn
          - seaborn
      - output_types: conda
        packages:
          - matplotlib-base
      - output_types: [requirements, constraints]
        packages:
          - matplotlib
  depends_on_cuda_python:
    specific:
      - output_types: [conda, requirements, constraints, pyproject]
        matrices:
          - matrix:
              cuda: "12.*"
            packages:
              - cuda-bindings>=12.9.3,<13.0
          # fallback to CUDA 13 versions if 'cuda' is '13.*' or not provided
          - matrix:
            packages:
              - cuda-bindings>=13.0.2,<14.0
  depends_on_cudf:
    common:
      - output_types: conda
        packages:
          - &cudf_unsuffixed cudf==26.12.*,>=0.0.0a0
    specific:
      - output_types: [requirements, constraints, pyproject]
        matrices:
          - matrix:
              cuda: "12.*"
              cuda_suffixed: "true"
            packages:
              - cudf-cu12==26.12.*,>=0.0.0a0
          - matrix:
              cuda: "13.*"
              cuda_suffixed: "true"
            packages:
              - cudf-cu13==26.12.*,>=0.0.0a0
          - matrix:
              cuda_suffixed: "false"
            packages:
              - *cudf_unsuffixed
  depends_on_cuml:
    common:
      - output_types: conda
        packages:
          - cuml==26.12.*,>=0.0.0a0
  depends_on_cupy:
    common:
      - output_types: conda
        packages:
          - cupy>=14.0.1,!=14.1.0
    # NOTE: This is intentionally not broken into groups by a 'cuda_suffixed' selector like
    #       other packages with -cu{nn}x suffixes in this file.
    #       All RAPIDS wheel builds (including in devcontainers) expect cupy to be suffixed.
    specific:
      - output_types: [requirements, constraints]
        matrices:
          # Nightly dependencies with pre-release specifiers
          - matrix:
              cuda: "12.*"
              dependencies: "nightly"
            packages:
              - cupy-cuda12x>=14.0.1a0,!=14.1.0
          - matrix:
              cuda: "13.*"
              dependencies: "nightly"
            packages:
              - cupy-cuda13x>=14.0.1a0,!=14.1.0
          - matrix:
              dependencies: "nightly"
            packages:
              - cupy-cuda13x>=14.0.1a0,!=14.1.0
          # Standard dependencies
          - matrix:
              cuda: "12.*"
            packages:
              - &cupy_cu12 cupy-cuda12x>=14.0.1,!=14.1.0
          # fallback to CUDA 13 versions if 'cuda' is '13.*' or not provided
          - matrix:
            packages:
              - &cupy_cu13 cupy-cuda13x>=14.0.1,!=14.1.0
      - output_types: pyproject
        matrices:
          - matrix:
              cuda: "12.*"
              use_cuda_wheels: "false"
            packages:
              - *cupy_cu12
          - matrix:
              cuda: "13.*"
              use_cuda_wheels: "false"
            packages:
              - *cupy_cu13
          - matrix:
              cuda: "12.*"
              use_cuda_wheels: "true"
            packages:
              - cupy-cuda12x[ctk]>=14.0.1,!=14.1.0
          # fallback to CUDA 13 versions if 'cuda' is '13.*' or not provided
          - matrix:
              use_cuda_wheels: "true"
            packages:
              - cupy-cuda13x[ctk]>=14.0.1,!=14.1.0
      - output_types: [requirements, constraints]
        matrices:
          - matrix:
              dependencies: "nightly"
            packages:
              - --extra-index-url=https://pypi.anaconda.org/scientific-python-nightly-wheels/simple
          - matrix:
            packages:
  depends_on_rapids_dask_dependency:
    common:
      - output_types: [conda, pyproject, requirements, constraints]
        packages:
          - rapids-dask-dependency==26.12.*,>=0.0.0a0
  depends_on_dask_cuda:
    common:
      - output_types: [conda, constraints]
        packages:
          - &dask_cuda_unsuffixed dask-cuda==26.12.*,>=0.0.0a0
    specific:
      - output_types: [requirements, pyproject]
        matrices:
          - matrix:
              cuda: "12.*"
              cuda_suffixed: "true"
            packages:
              - dask-cuda[cu12]==26.12.*,>=0.0.0a0
          - matrix:
              cuda: "13.*"
              cuda_suffixed: "true"
            packages:
              - dask-cuda[cu13]==26.12.*,>=0.0.0a0
          - matrix:
            packages:
              - *dask_cuda_unsuffixed
  depends_on_dask_cudf:
    common:
      - output_types: conda
        packages:
          - &dask_cudf_unsuffixed dask-cudf==26.12.*,>=0.0.0a0
    specific:
      - output_types: [requirements, constraints, pyproject]
        matrices:
          - matrix:
              cuda: "12.*"
              cuda_suffixed: "true"
            packages:
              - dask-cudf-cu12==26.12.*,>=0.0.0a0
          - matrix:
              cuda: "13.*"
              cuda_suffixed: "true"
            packages:
              - dask-cudf-cu13==26.12.*,>=0.0.0a0
          - matrix:
              cuda_suffixed: "false"
            packages:
              - *dask_cudf_unsuffixed
  depends_on_libcuml:
    common:
      - output_types: conda
        packages:
          - &libcuml_unsuffixed libcuml==26.12.*,>=0.0.0a0
    specific:
      - output_types: [requirements, constraints, pyproject]
        matrices:
          - matrix:
              cuda: "12.*"
              cuda_suffixed: "true"
            packages:
              - libcuml-cu12==26.12.*,>=0.0.0a0
          - matrix:
              cuda: "13.*"
              cuda_suffixed: "true"
            packages:
              - libcuml-cu13==26.12.*,>=0.0.0a0
          - matrix:
              cuda_suffixed: "false"
            packages:
              - *libcuml_unsuffixed
  depends_on_libcuvs:
    common:
      - output_types: conda
        packages:
          - &libcuvs_unsuffixed libcuvs==26.12.*,>=0.0.0a0
    specific:
      - output_types: [requirements, constraints, pyproject]
        matrices:
          - matrix:
              cuda: "12.*"
              cuda_suffixed: "true"
            packages:
              - libcuvs-cu12==26.12.*,>=0.0.0a0
          - matrix:
              cuda: "13.*"
              cuda_suffixed: "true"
            packages:
              - libcuvs-cu13==26.12.*,>=0.0.0a0
          - matrix:
              cuda_suffixed: "false"
            packages:
              - *libcuvs_unsuffixed
  depends_on_libnvforest:
    common:
      - output_types: conda
        packages:
          - &libnvforest_unsuffixed libnvforest==26.12.*,>=0.0.0a0
    specific:
      - output_types: [requirements, constraints, pyproject]
        matrices:
          - matrix:
              cuda: "12.*"
              cuda_suffixed: "true"
            packages:
              - libnvforest-cu12==26.12.*,>=0.0.0a0
          - matrix:
              cuda: "13.*"
              cuda_suffixed: "true"
            packages:
              - libnvforest-cu13==26.12.*,>=0.0.0a0
          - matrix:
              cuda_suffixed: "false"
            packages:
              - *libnvforest_unsuffixed
  depends_on_libraft:
    common:
      - output_types: conda
        packages:
          - &libraft_unsuffixed libraft==26.12.*,>=0.0.0a0
    specific:
      - output_types: [requirements, constraints, pyproject]
        matrices:
          - matrix:
              cuda: "12.*"
              cuda_suffixed: "true"
            packages:
              - libraft-cu12==26.12.*,>=0.0.0a0
          - matrix:
              cuda: "13.*"
              cuda_suffixed: "true"
            packages:
              - libraft-cu13==26.12.*,>=0.0.0a0
          - matrix:
              cuda_suffixed: "false"
            packages:
              - *libraft_unsuffixed
  depends_on_libraft_headers:
    common:
      - output_types: conda
        packages:
          - libraft-headers==26.12.*,>=0.0.0a0
  depends_on_librmm:
    common:
      - output_types: conda
        packages:
          - &librmm_unsuffixed librmm==26.12.*,>=0.0.0a0
    specific:
      - output_types: [requirements, constraints, pyproject]
        matrices:
          - matrix:
              cuda: "12.*"
              cuda_suffixed: "true"
            packages:
              - librmm-cu12==26.12.*,>=0.0.0a0
          - matrix:
              cuda: "13.*"
              cuda_suffixed: "true"
            packages:
              - librmm-cu13==26.12.*,>=0.0.0a0
          - matrix:
              cuda_suffixed: "false"
            packages:
              - *librmm_unsuffixed
  depends_on_numba_cuda:
    common:
      - output_types: [conda, constraints]
        packages:
          - &numba_cuda numba-cuda>=0.22.2
    specific:
      - output_types: [requirements, pyproject]
        matrices:
          - matrix:
              cuda: "12.*"
              cuda_suffixed: "true"
            packages:
              - numba-cuda[cu12]>=0.22.2
          - matrix:
              cuda: "13.*"
              cuda_suffixed: "true"
            packages:
              - numba-cuda[cu13]>=0.22.2
          # fallback to numba-cuda with no extra CUDA packages if 'cuda_suffixed' isn't true
          - matrix:
            packages:
              - *numba_cuda
  depends_on_numba_cuda_mlir:
    common:
      - output_types: [conda, constraints]
        packages:
          - &numba_cuda_mlir numba-cuda-mlir>=0.3.0
    specific:
      - output_types: [requirements, pyproject]
        matrices:
          - matrix:
              cuda: "12.*"
              cuda_suffixed: "true"
            packages:
              - numba-cuda-mlir[cu12]>=0.3.0
          - matrix:
              cuda: "13.*"
              cuda_suffixed: "true"
            packages:
              - numba-cuda-mlir[cu13]>=0.3.0
          # fallback to numba-cuda-mlir with no extra CUDA packages if
          # 'cuda_suffixed' isn't true
          - matrix:
              cuda_suffixed: "false"
            packages:
              - *numba_cuda_mlir
  depends_on_nvforest:
    common:
      - output_types: conda
        packages:
          - &nvforest_unsuffixed nvforest==26.12.*,>=0.0.0a0
    specific:
      - output_types: [requirements, constraints, pyproject]
        matrices:
          - matrix:
              cuda: "12.*"
              cuda_suffixed: "true"
            packages:
              - nvforest-cu12==26.12.*,>=0.0.0a0
          - matrix:
              cuda: "13.*"
              cuda_suffixed: "true"
            packages:
              - nvforest-cu13==26.12.*,>=0.0.0a0
          - matrix:
              cuda_suffixed: "false"
            packages:
              - *nvforest_unsuffixed
  depends_on_pylibraft:
    common:
      - output_types: conda
        packages:
          - &pylibraft_unsuffixed pylibraft==26.12.*,>=0.0.0a0
    specific:
      - output_types: [requirements, constraints, pyproject]
        matrices:
          - matrix:
              cuda: "12.*"
              cuda_suffixed: "true"
            packages:
              - pylibraft-cu12==26.12.*,>=0.0.0a0
          - matrix:
              cuda: "13.*"
              cuda_suffixed: "true"
            packages:
              - pylibraft-cu13==26.12.*,>=0.0.0a0
          - matrix:
              cuda_suffixed: "false"
            packages:
              - *pylibraft_unsuffixed
  depends_on_raft_dask:
    common:
      - output_types: conda
        packages:
          - &raft_dask_unsuffixed raft-dask==26.12.*,>=0.0.0a0
    specific:
      - output_types: [requirements, constraints, pyproject]
        matrices:
          - matrix:
              cuda: "12.*"
              cuda_suffixed: "true"
            packages:
              - raft-dask-cu12==26.12.*,>=0.0.0a0
          - matrix:
              cuda: "13.*"
              cuda_suffixed: "true"
            packages:
              - raft-dask-cu13==26.12.*,>=0.0.0a0
          - matrix:
              cuda_suffixed: "false"
            packages:
              - *raft_dask_unsuffixed
  depends_on_rapids_logger:
    common:
      - output_types: [conda, requirements, constraints, pyproject]
        packages:
          - rapids-logger==0.3.*
  depends_on_rmm:
    common:
      - output_types: conda
        packages:
          - &rmm_unsuffixed rmm==26.12.*,>=0.0.0a0
    specific:
      - output_types: [requirements, constraints, pyproject]
        matrices:
          - matrix:
              cuda: "12.*"
              cuda_suffixed: "true"
            packages:
              - rmm-cu12==26.12.*,>=0.0.0a0
          - matrix:
              cuda: "13.*"
              cuda_suffixed: "true"
            packages:
              - rmm-cu13==26.12.*,>=0.0.0a0
          - matrix:
              cuda_suffixed: "false"
            packages:
              - *rmm_unsuffixed