Add virtualizarr #602

scottyhq · 2025-02-03T10:50:59Z

https://github.com/zarr-developers/VirtualiZarr

github-actions · 2025-02-03T10:51:11Z

👈 Try on Mybinder.org!

pangeo-bot · 2025-02-03T10:51:12Z

/condalock
Automatically locking new conda environment, building, and testing images...

scottyhq · 2025-02-03T12:43:41Z

Trouble with numpy>=2 and tensorflow it seems:

│  └─ tensorflow 2.17.0 would require
│     └─ tensorflow-base 2.17.0 cuda120py312h8a249fc_202, which requires
│        ├─ libgrpc >=1.62.2,<1.63.0a0 , which can be installed;
│        └─ numpy >=1.26.4,<2.0a0 , which can be installed;
└─ virtualizarr is not installable because it requires
   └─ numpy >=2.0.0  but there are no viable options
      ├─ numpy [2.0.0|2.0.1|...|2.2.2] conflicts with any installable versions previously

weiji14 · 2025-02-07T03:07:27Z

Trouble with numpy>=2 and tensorflow it seems

Yep, need to wait for tensorflow 2.18.0 which supports numpy 2 - conda-forge/tensorflow-feedstock#408 (comment)

weiji14 · 2025-02-09T22:15:29Z

/condalock

weiji14 · 2025-02-09T23:01:55Z

Tensorflow 2.18.0 with numpy 2 is out, but conda-lock timed out 😅 Maybe try again in a few days.

scottyhq · 2025-04-01T10:50:15Z

/condalock

maxrjones · 2025-07-31T19:58:30Z

/condalock

maxrjones · 2025-08-01T15:52:15Z

@weiji14 @scottyhq do you know why condalock didn't make any changes?

scottyhq · 2025-08-01T16:27:54Z

ml-notebook isn't solving:
https://github.com/pangeo-data/pangeo-docker-images/actions/runs/16658712830/job/47150275935

maybe #618 will fix things

scottyhq · 2025-08-01T16:36:28Z

/condalock

scottyhq · 2025-08-01T17:35:13Z

Still not compatible with the ml-notebook. I won't have time to dig into, but feel free to take over this PR! https://github.com/pangeo-data/pangeo-docker-images/actions/runs/16680321125/job/47217145257

jsignell · 2025-08-27T19:57:12Z

Seems like the version mismatch might just be resolved now: https://github.com/pangeo-data/pangeo-docker-images/actions/runs/17268373278

scottyhq · 2025-08-27T20:57:41Z

Seems like the version mismatch might just be resolved now: https://github.com/pangeo-data/pangeo-docker-images/actions/runs/17268373278

Unfortunately the CI runs (and can pass) even if the lockfiles aren't updated. I'll try re-locking

scottyhq · 2025-08-27T20:57:51Z

/condalock

jsignell · 2025-09-04T15:00:12Z

Hmm looks like that one timed out. https://github.com/pangeo-data/pangeo-docker-images/actions/runs/17278568611

Since there was a new release of virtualizarr and I don't really see what the dependency issue would be. I'm going to try to lock again

jsignell · 2025-09-04T15:00:18Z

/condalock

weiji14 · 2025-09-04T22:06:21Z

This is the latest output from conda-lock on ml-notebook https://github.com/pangeo-data/pangeo-docker-images/actions/runs/17468106344/job/49609106162#step:4:26:

Locking dependencies for ['linux-64']...
INFO:conda_lock.conda_solver:linux-64 using specs ['cuda-version >=12.6', 'flax >=0.10.2', 'jax', 'jaxlib >=0.4.31 cuda12*', 'jupyterlab-nvdashboard', 'keras-cv', 'tensorflow >=2.17.0 cuda12*', 'adlfs', 'argopy <0.1.16', 'awscli', 'black', 'boto3', 'bottleneck', 'cartopy', 'cdsapi', 'cfgrib', 'cf_xarray', 'ciso', 'cmocean', 'contextily', 'dask-geopandas', 'dask-ml', 'datashader', 'descartes', 'duckdb-cli', 'earthaccess <0.13.0', 'eofs', 'erddapy', 'esmpy', 'fastjmd95', 'flox', 'fsspec', 'gcm_filters', 'gcsfs', 'gdal', 'gh', 'gh-scoped-creds', 'geocube', 'geopandas', 'geopy', 'geoviews-core', 'git-lfs', 'gsw', 'h5netcdf', 'h5py', 'holoviews', 'hvplot', 'intake', 'intake-esm <2025.2.3', 'intake-geopandas', 'intake-stac', 'intake-xarray', 'ipdb', 'ipykernel', 'ipyleaflet', 'ipympl', 'ipytree', 'ipywidgets', 'jupyterlab_code_formatter', 'jupyterlab-git', 'jupyterlab-lsp', 'jupyterlab-myst', 'jupyter-panel-proxy', 'jupyter-resource-usage', 'jupyter-sshd-proxy', 'kerchunk', 'libgdal-arrow-parquet', 'libgdal-netcdf', 'line_profiler', 'lonboard', 'lxml', 'lz4', 'matplotlib-base', 'memory_profiler', 'metpy', 'nb_conda_kernels', 'nbstripout', 'nc-time-axis', 'netcdf4', 'numbagg', 'numcodecs', 'numpy', 'numpy_groupies', 'obstore', 'odc-stac', 'openssh', 'pandas', 'panel', 'param', 'planetary-computer', 'pop-tools', 'pot', 'pyarrow', 'pycamhd', 'pydap', 'pystac', 'pystac-client', 'python-blosc', 'python-duckdb', 'python-gist', 'python-graphviz', 'python-lsp-ruff', 'python-xxhash', 'rasterio', 'rechunker', 'rio-cogeo', 'rioxarray', 'ruff', 's3fs', 'satpy', 'scikit-image', 'scikit-learn', 'scipy', 'seaborn', 'sparse', 'snakeviz', 'stackstac', 'tiledb-py', 'timezonefinder', 'virtualizarr', 'watermark', 'xarray', 'xarrayutils', 'xarray_leaflet', 'xarray-spatial', 'xbatcher', 'xclim', 'xesmf', 'xgboost', 'xgcm', 'xhistogram', 'xmip', 'xmitgcm', 'xpublish', 'xrft', 'xskillscore', 'xxhash', 'xvec', 'zarr >=3.0.8', 'python 3.12.*', 'pangeo-notebook 2025.07.15.*', 'pip']
Failed to parse json, Expecting value: line 1 column 1 (char 0)
Could not lock the environment for platform linux-64
Could not solve for environment specs
The following packages are incompatible
├─ dask-ml is installable with the potential options
│  ├─ dask-ml [0.3.1|0.3.2|...|0.8.0] would require
│  │  └─ python_abi * *_cp27mu, which can be installed;
│  ├─ dask-ml [0.3.1|0.3.2|...|0.8.0] would require
│  │  └─ python_abi * *_cp35m, which can be installed;
│  ├─ dask-ml [0.3.1|0.3.2|...|0.8.0] would require
│  │  └─ python_abi * *_cp36m, which can be installed;
│  ├─ dask-ml [0.10.0|0.11.0|...|2021.10.17] would require
│  │  └─ numba with the potential options
│  │     ├─ numba [0.36.1|0.38.0|0.38.1] would require
│  │     │  ├─ numpy >=1.11,<1.21.0a0  with the potential options
│  │     │  │  ├─ numpy [1.10.4|1.11.0|...|1.9.3] would require
│  │     │  │  │  └─ python [2.7* |3.6* |>=2.7,<2.8.0a0 |>=3.6,<3.7.0a0 ] with the potential options
│  │     │  │  │     ├─ python [2.7.12|2.7.13|...|3.6.5] would require
│  │     │  │  │     │  └─ openssl [1.0* |1.0.* ], which can be installed;
│  │     │  │  │     ├─ python [2.7.15|3.6.6|3.6.7] would require
│  │     │  │  │     │  └─ openssl >=1.0.2p,<1.0.3a , which can be installed;
│  │     │  │  │     ├─ python [2.7.15|3.6.7|3.6.9] would require
│  │     │  │  │     │  ├─ openssl >=1.1.1a,<1.1.2a , which can be installed;
│  │     │  │  │     │  └─ pypy3.6 7.3.0.*  with the potential options
│  │     │  │  │     │     ├─ pypy3.6 7.3.0 would require
│  │     │  │  │     │     │  └─ openssl >=1.1.1a,<1.1.2a , which can be installed;
│  │     │  │  │     │     ├─ pypy3.6 7.3.0 would require
│  │     │  │  │     │     │  └─ openssl >=1.1.1d,<1.1.2a , which can be installed;
│  │     │  │  │     │     └─ pypy3.6 7.3.0 would require
│  │     │  │  │     │        └─ openssl >=1.1.1e,<1.1.2a , which can be installed;
│  │     │  │  │     ├─ python [2.7.15|3.5.5|3.6.6] would require
│  │     │  │  │     │  └─ openssl >=1.0.2o,<1.0.3a , which can be installed;
│  │     │  │  │     ├─ python [3.6.10|3.6.9] would require
│  │     │  │  │     │  ├─ openssl >=1.1.1f,<1.1.2a , which can be installed;
│  │     │  │  │     │  └─ pypy3.6 7.3.1.* , which requires
│  │     │  │  │     │     └─ openssl >=1.1.1f,<1.1.2a , which can be installed;
│  │     │  │  │     ├─ python [3.6.10|3.6.11] would require
│  │     │  │  │     │  └─ openssl >=1.1.1g,<1.1.2a , which can be installed;
│  │     │  │  │     ├─ python [3.6.10|3.6.9] would require
│  │     │  │  │     │  └─ openssl >=1.1.1d,<1.1.2a , which can be installed;
│  │     │  │  │     ├─ python [3.6.11|3.6.12|3.6.9] would require
│  │     │  │  │     │  ├─ openssl >=1.1.1h,<1.1.2a , which can be installed;
│  │     │  │  │     │  └─ pypy3.6 7.3.2.* , which requires
│  │     │  │  │     │     └─ openssl >=1.1.1h,<1.1.2a , which can be installed;
│  │     │  │  │     ├─ python 3.6.12 would require
│  │     │  │  │     │  └─ pypy3.6 7.3.3.* , which requires
│  │     │  │  │     │     └─ openssl >=1.1.1i,<1.1.2a , which can be installed;
│  │     │  │  │     ├─ python [3.6.13|3.6.15] would require
│  │     │  │  │     │  └─ openssl >=1.1.1l,<1.1.2a , which can be installed;
│  │     │  │  │     └─ python 3.6.13 would require
│  │     │  │  │        └─ openssl >=1.1.1j,<1.1.2a , which can be installed;
│  │     │  │  ├─ numpy [1.10.4|1.11.0|...|1.9.3] would require
│  │     │  │  │  └─ python [3.4* |3.5* |>=3.5,<3.6.0a0 ], which can be installed (as previously explained);
│  │     │  │  ├─ numpy [1.11.3|1.14.5], which can be installed;
│  │     │  │  ├─ numpy [1.14.6|1.15.0|1.15.1|1.15.2|1.15.3], which can be installed;
│  │     │  │  ├─ numpy [1.15.4|1.16.0|...|1.16.4], which can be installed;
│  │     │  │  ├─ numpy [1.16.5|1.16.6|...|1.19.5] would require
│  │     │  │  │  ├─ python >=3.6,<3.7.0a0 , which can be installed (as previously explained);
│  │     │  │  │  └─ python_abi 3.6.* *_cp36m, which can be installed;
│  │     │  │  ├─ numpy 1.16.5, which can be installed;
│  │     │  │  ├─ numpy [1.16.6|1.17.0|1.17.1|1.17.2|1.17.3], which can be installed;
│  │     │  │  ├─ numpy 1.17.5, which can be installed;
│  │     │  │  ├─ numpy 1.18.1 would require
│  │     │  │  │  ├─ python >=3.6,<3.7.0a0 , which can be installed (as previously explained);
│  │     │  │  │  └─ python_abi 3.6 *_pypy36_pp73, which can be installed;
│  │     │  │  ├─ numpy [1.18.1|1.18.4|...|1.19.4], which can be installed;
│  │     │  │  ├─ numpy [1.18.4|1.18.5|1.19.0|1.19.1] would require
│  │     │  │  │  ├─ pypy3.6 >=7.3.1 , which can be installed (as previously explained);
│  │     │  │  │  └─ python_abi 3.6 *_pypy36_pp73, which can be installed;
│  │     │  │  ├─ numpy [1.19.2|1.19.4] would require
│  │     │  │  │  ├─ pypy3.6 >=7.3.2 , which can be installed (as previously explained);
│  │     │  │  │  └─ python_abi 3.6 *_pypy36_pp73, which can be installed;
│  │     │  │  ├─ numpy 1.19.5 would require
│  │     │  │  │  ├─ pypy3.6 >=7.3.3 , which can be installed (as previously explained);
│  │     │  │  │  └─ python_abi 3.6 *_pypy36_pp73, which can be installed;
│  │     │  │  └─ numpy [1.19.5|1.20.0|1.20.1|1.20.2|1.20.3], which can be installed;
│  │     │  └─ python [>=2.7,<2.8.0a0 |>=3.5,<3.6.0a0 |>=3.6,<3.7.0a0 ], which can be installed (as previously explained);
│  │     ├─ numba 0.36.2 would require
│  │     │  ├─ numpy <1.21.0a0  with the potential options
│  │     │  │  ├─ numpy [1.10.4|1.11.0|...|1.9.3], which can be installed (as previously explained);
│  │     │  │  ├─ numpy [1.10.4|1.11.0|...|1.9.3], which can be installed (as previously explained);
│  │     │  │  ├─ numpy [1.11.3|1.14.5], which can be installed;
│  │     │  │  ├─ numpy [1.14.6|1.15.0|1.15.1|1.15.2|1.15.3], which can be installed;
│  │     │  │  ├─ numpy [1.15.4|1.16.0|...|1.16.4], which can be installed;
│  │     │  │  ├─ numpy [1.16.5|1.16.6|...|1.19.5], which can be installed (as previously explained);
│  │     │  │  ├─ numpy 1.16.5, which can be installed;
│  │     │  │  ├─ numpy [1.16.6|1.17.0|1.17.1|1.17.2|1.17.3], which can be installed;
│  │     │  │  ├─ numpy 1.17.5, which can be installed;
│  │     │  │  ├─ numpy 1.18.1, which can be installed (as previously explained);
│  │     │  │  ├─ numpy [1.18.1|1.18.4|...|1.19.4], which can be installed;
│  │     │  │  ├─ numpy [1.18.4|1.18.5|1.19.0|1.19.1], which can be installed (as previously explained);
│  │     │  │  ├─ numpy [1.19.2|1.19.4], which can be installed (as previously explained);
│  │     │  │  ├─ numpy 1.19.5, which can be installed (as previously explained);
│  │     │  │  ├─ numpy [1.19.5|1.20.0|1.20.1|1.20.2|1.20.3], which can be installed;
│  │     │  │  ├─ numpy 1.9.3, which can be installed;
│  │     │  │  └─ numpy [1.7.2|1.8.2], which can be installed;
│  │     │  └─ python [>=3.5,<3.6.0a0 |>=3.6,<3.7.0a0 ], which can be installed (as previously explained);
│  │     ├─ numba [0.40.0|0.40.1|0.41.0|0.43.1] would require
│  │     │  ├─ numpy >=1.9.3,<1.21.0a0  with the potential options
│  │     │  │  ├─ numpy [1.10.4|1.11.0|...|1.9.3], which can be installed (as previously explained);
│  │     │  │  ├─ numpy [1.10.4|1.11.0|...|1.9.3], which can be installed (as previously explained);
│  │     │  │  ├─ numpy [1.11.3|1.14.5], which can be installed;
│  │     │  │  ├─ numpy [1.14.6|1.15.0|1.15.1|1.15.2|1.15.3], which can be installed;
│  │     │  │  ├─ numpy [1.15.4|1.16.0|...|1.16.4], which can be installed;
│  │     │  │  ├─ numpy [1.16.5|1.16.6|...|1.19.5], which can be installed (as previously explained);
│  │     │  │  ├─ numpy 1.16.5, which can be installed;
│  │     │  │  ├─ numpy [1.16.6|1.17.0|1.17.1|1.17.2|1.17.3], which can be installed;
│  │     │  │  ├─ numpy 1.17.5, which can be installed;
│  │     │  │  ├─ numpy 1.18.1, which can be installed (as previously explained);
│  │     │  │  ├─ numpy [1.18.1|1.18.4|...|1.19.4], which can be installed;
│  │     │  │  ├─ numpy [1.18.4|1.18.5|1.19.0|1.19.1], which can be installed (as previously explained);
│  │     │  │  ├─ numpy [1.19.2|1.19.4], which can be installed (as previously explained);
│  │     │  │  ├─ numpy 1.19.5, which can be installed (as previously explained);
│  │     │  │  ├─ numpy [1.19.5|1.20.0|1.20.1|1.20.2|1.20.3], which can be installed;
│  │     │  │  └─ numpy 1.9.3, which can be installed;
│  │     │  └─ python [>=2.7,<2.8.0a0 |>=3.5,<3.6.0a0 |>=3.6,<3.7.0a0 ], which can be installed (as previously explained);
│  │     ├─ numba [0.42.1|0.43.0|0.43.1] would require
│  │     │  ├─ numpy >=1.15.4,<1.21.0a0  with the potential options
│  │     │  │  ├─ numpy [1.10.4|1.11.0|...|1.9.3], which can be installed (as previously explained);
│  │     │  │  ├─ numpy [1.15.4|1.16.0|...|1.16.4], which can be installed;
│  │     │  │  ├─ numpy [1.16.5|1.16.6|...|1.19.5], which can be installed (as previously explained);
│  │     │  │  ├─ numpy 1.16.5, which can be installed;
│  │     │  │  ├─ numpy [1.16.6|1.17.0|1.17.1|1.17.2|1.17.3], which can be installed;
│  │     │  │  ├─ numpy 1.17.5, which can be installed;
│  │     │  │  ├─ numpy 1.18.1, which can be installed (as previously explained);
│  │     │  │  ├─ numpy [1.18.1|1.18.4|...|1.19.4], which can be installed;
│  │     │  │  ├─ numpy [1.18.4|1.18.5|1.19.0|1.19.1], which can be installed (as previously explained);
│  │     │  │  ├─ numpy [1.19.2|1.19.4], which can be installed (as previously explained);
│  │     │  │  ├─ numpy 1.19.5, which can be installed (as previously explained);
│  │     │  │  └─ numpy [1.19.5|1.20.0|1.20.1|1.20.2|1.20.3], which can be installed;
│  │     │  └─ python [>=2.7,<2.8.0a0 |>=3.6,<3.7.0a0 ], which can be installed (as previously explained);
│  │     ├─ numba [0.44.1|0.45.0|...|0.50.1] would require
│  │     │  ├─ numpy >=1.14.6,<1.21.0a0  with the potential options
│  │     │  │  ├─ numpy [1.10.4|1.11.0|...|1.9.3], which can be installed (as previously explained);
│  │     │  │  ├─ numpy [1.10.4|1.11.0|...|1.9.3], which can be installed (as previously explained);
│  │     │  │  ├─ numpy [1.14.6|1.15.0|1.15.1|1.15.2|1.15.3], which can be installed;
│  │     │  │  ├─ numpy [1.15.4|1.16.0|...|1.16.4], which can be installed;
│  │     │  │  ├─ numpy [1.16.5|1.16.6|...|1.19.5], which can be installed (as previously explained);
│  │     │  │  ├─ numpy 1.16.5, which can be installed;
│  │     │  │  ├─ numpy [1.16.6|1.17.0|1.17.1|1.17.2|1.17.3], which can be installed;
│  │     │  │  ├─ numpy 1.17.5, which can be installed;
│  │     │  │  ├─ numpy 1.18.1, which can be installed (as previously explained);
│  │     │  │  ├─ numpy [1.18.1|1.18.4|...|1.19.4], which can be installed;
│  │     │  │  ├─ numpy [1.18.4|1.18.5|1.19.0|1.19.1], which can be installed (as previously explained);
│  │     │  │  ├─ numpy [1.19.2|1.19.4], which can be installed (as previously explained);
│  │     │  │  ├─ numpy 1.19.5, which can be installed (as previously explained);
│  │     │  │  └─ numpy [1.19.5|1.20.0|1.20.1|1.20.2|1.20.3], which can be installed;
│  │     │  ├─ python [>=2.7,<2.8.0a0 |>=3.6,<3.7.0a0 ], which can be installed (as previously explained);
│  │     │  └─ python_abi 3.6.* *_cp36m, which can be installed;
│  │     ├─ numba [0.49.0|0.49.1] would require
│  │     │  ├─ numpy >=1.14.6,<1.18.0  with the potential options
│  │     │  │  ├─ numpy [1.10.4|1.11.0|...|1.9.3], which can be installed (as previously explained);
│  │     │  │  ├─ numpy [1.10.4|1.11.0|...|1.9.3], which can be installed (as previously explained);
│  │     │  │  ├─ numpy [1.14.6|1.15.0|1.15.1|1.15.2|1.15.3], which can be installed;
│  │     │  │  ├─ numpy [1.15.4|1.16.0|...|1.16.4], which can be installed;
│  │     │  │  ├─ numpy [1.16.5|1.16.6|...|1.19.5], which can be installed (as previously explained);
│  │     │  │  ├─ numpy 1.16.5, which can be installed;
│  │     │  │  ├─ numpy [1.16.6|1.17.0|1.17.1|1.17.2|1.17.3], which can be installed;
│  │     │  │  └─ numpy 1.17.5, which can be installed;
│  │     │  ├─ python >=3.6,<3.7.0a0 , which can be installed (as previously explained);
│  │     │  └─ python_abi 3.6.* *_cp36m, which can be installed;
│  │     ├─ numba [0.51.0|0.51.1|0.51.2|0.52.0] would require
│  │     │  ├─ numpy >=1.16.5,<1.21.0a0  with the potential options
│  │     │  │  ├─ numpy [1.10.4|1.11.0|...|1.9.3], which can be installed (as previously explained);
│  │     │  │  ├─ numpy [1.16.5|1.16.6|...|1.19.5], which can be installed (as previously explained);
│  │     │  │  ├─ numpy 1.16.5, which can be installed;
│  │     │  │  ├─ numpy [1.16.6|1.17.0|1.17.1|1.17.2|1.17.3], which can be installed;
│  │     │  │  ├─ numpy 1.17.5, which can be installed;
│  │     │  │  ├─ numpy 1.18.1, which can be installed (as previously explained);
│  │     │  │  ├─ numpy [1.18.1|1.18.4|...|1.19.4], which can be installed;
│  │     │  │  ├─ numpy [1.18.4|1.18.5|1.19.0|1.19.1], which can be installed (as previously explained);
│  │     │  │  ├─ numpy [1.19.2|1.19.4], which can be installed (as previously explained);
│  │     │  │  ├─ numpy 1.19.5, which can be installed (as previously explained);
│  │     │  │  └─ numpy [1.19.5|1.20.0|1.20.1|1.20.2|1.20.3], which can be installed;
│  │     │  ├─ python >=3.6,<3.7.0a0 , which can be installed (as previously explained);
│  │     │  └─ python_abi 3.6.* *_cp36m, which can be installed;
│  │     ├─ numba 0.53.0 would require
│  │     │  ├─ numpy >=1.16.6,<1.21.0a0  with the potential options
│  │     │  │  ├─ numpy [1.10.4|1.11.0|...|1.9.3], which can be installed (as previously explained);
│  │     │  │  ├─ numpy [1.16.5|1.16.6|...|1.19.5], which can be installed (as previously explained);
│  │     │  │  ├─ numpy [1.16.6|1.17.0|1.17.1|1.17.2|1.17.3], which can be installed;
│  │     │  │  ├─ numpy 1.17.5, which can be installed;
│  │     │  │  ├─ numpy 1.18.1, which can be installed (as previously explained);
│  │     │  │  ├─ numpy [1.18.1|1.18.4|...|1.19.4], which can be installed;
│  │     │  │  ├─ numpy [1.18.4|1.18.5|1.19.0|1.19.1], which can be installed (as previously explained);
│  │     │  │  ├─ numpy [1.19.2|1.19.4], which can be installed (as previously explained);
│  │     │  │  ├─ numpy 1.19.5, which can be installed (as previously explained);
│  │     │  │  └─ numpy [1.19.5|1.20.0|1.20.1|1.20.2|1.20.3], which can be installed;
│  │     │  ├─ python >=3.6,<3.7.0a0 , which can be installed (as previously explained);
│  │     │  └─ python_abi 3.6.* *_cp36m, which can be installed;
│  │     ├─ numba [0.53.0|0.53.1] would require
│  │     │  └─ numpy >=1.19.5,<1.21.0a0  with the potential options
│  │     │     ├─ numpy [1.16.5|1.16.6|...|1.19.5], which can be installed (as previously explained);
│  │     │     ├─ numpy 1.19.5, which can be installed (as previously explained);
│  │     │     └─ numpy [1.19.5|1.20.0|1.20.1|1.20.2|1.20.3], which can be installed;
│  │     ├─ numba 0.53.1 would require
│  │     │  ├─ numpy >=1.17.5,<1.21.0a0  with the potential options
│  │     │  │  ├─ numpy [1.10.4|1.11.0|...|1.9.3], which can be installed (as previously explained);
│  │     │  │  ├─ numpy [1.16.5|1.16.6|...|1.19.5], which can be installed (as previously explained);
│  │     │  │  ├─ numpy 1.17.5, which can be installed;
│  │     │  │  ├─ numpy 1.18.1, which can be installed (as previously explained);
│  │     │  │  ├─ numpy [1.18.1|1.18.4|...|1.19.4], which can be installed;
│  │     │  │  ├─ numpy [1.18.4|1.18.5|1.19.0|1.19.1], which can be installed (as previously explained);
│  │     │  │  ├─ numpy [1.19.2|1.19.4], which can be installed (as previously explained);
│  │     │  │  ├─ numpy 1.19.5, which can be installed (as previously explained);
│  │     │  │  └─ numpy [1.19.5|1.20.0|1.20.1|1.20.2|1.20.3], which can be installed;
│  │     │  ├─ python >=3.6,<3.7.0a0 , which can be installed (as previously explained);
│  │     │  └─ python_abi 3.6.* *_cp36m, which can be installed;
│  │     ├─ numba [0.54.0|0.54.1] would require
│  │     │  └─ numpy >=1.17,<1.21 , which can be installed;
│  │     ├─ numba [0.55.0|0.55.1] would require
│  │     │  └─ numpy >=1.18,<1.22 , which can be installed;
│  │     ├─ numba 0.55.2 would require
│  │     │  └─ numpy >=1.18,<1.23 , which can be installed;
│  │     ├─ numba [0.56.2|0.56.3|0.56.4] would require
│  │     │  └─ numpy >=1.18,!=1.22.0,!=1.22.1,!=1.22.2,<1.24 , which can be installed;
│  │     ├─ numba [0.57.0|0.57.1] would require
│  │     │  └─ numpy >=1.21,!=1.22.0,!=1.22.1,!=1.22.2,<1.25 , which can be installed;
│  │     ├─ numba [0.58.1|0.59.0|0.59.1] would require
│  │     │  └─ numpy >=1.22.3,<1.27 , which can be installed;
│  │     ├─ numba 0.60.0 would require
│  │     │  └─ numpy >=1.22.3,<2.1  with the potential options
│  │     │     ├─ numpy [2.0.0|2.0.1|...|2.2.6] would require
│  │     │     │  └─ python_abi 3.10.* *_cp310, which can be installed;
│  │     │     ├─ numpy [2.0.0|2.0.1|...|2.2.6] would require
│  │     │     │  └─ python_abi 3.11.* *_cp311, which can be installed;
│  │     │     ├─ numpy [2.0.0|2.0.1|2.0.2], which can be installed;
│  │     │     ├─ numpy [2.0.0|2.0.1|2.0.2] would require
│  │     │     │  └─ python_abi 3.9.* *_cp39, which can be installed;
│  │     │     ├─ numpy 1.22.3, which can be installed;
│  │     │     ├─ numpy [1.22.4|1.23.0|...|1.23.4] conflicts with any installable versions previously reported;
│  │     │     ├─ numpy 1.23.5 conflicts with any installable versions previously reported;
│  │     │     ├─ numpy [1.24.0|1.24.1|...|1.25.2] conflicts with any installable versions previously reported;
│  │     │     ├─ numpy 1.26.0 conflicts with any installable versions previously reported;
│  │     │     ├─ numpy 1.26.2 conflicts with any installable versions previously reported;
│  │     │     ├─ numpy 1.26.3 conflicts with any installable versions previously reported;
│  │     │     └─ numpy 1.26.4 conflicts with any installable versions previously reported;
│  │     └─ numba [0.61.0|0.61.2] would require
│  │        └─ numpy [>=1.24,<2.2 |>=1.24,<2.3 |>=1.24,<2.3.0a0 ] with the potential options
│  │           ├─ numpy [2.0.0|2.0.1|...|2.2.6], which can be installed (as previously explained);
│  │           ├─ numpy [2.0.0|2.0.1|...|2.2.6], which can be installed (as previously explained);
│  │           ├─ numpy [2.0.0|2.0.1|2.0.2], which can be installed;
│  │           ├─ numpy [2.0.0|2.0.1|2.0.2], which can be installed (as previously explained);
│  │           ├─ numpy 2.1.0, which can be installed;
│  │           ├─ numpy [2.1.0|2.1.1|...|2.2.6] would require
│  │           │  └─ python_abi 3.13.* *_cp313, which can be installed;
│  │           ├─ numpy [2.1.1|2.1.2|...|2.2.6] would require
│  │           │  └─ python >=3.12,<3.13.0a0 , which requires
│  │           │     └─ python_abi 3.12.* *_cp312, which conflicts with any installable versions previously reported;
│  │           ├─ numpy [2.1.2|2.1.3|...|2.2.6] would require
│  │           │  └─ python_abi 3.13.* *_cp313t, which can be installed;
│  │           ├─ numpy [1.24.0|1.24.1|...|1.25.2] conflicts with any installable versions previously reported;
│  │           ├─ numpy 1.26.0 conflicts with any installable versions previously reported;
│  │           ├─ numpy 1.26.2 conflicts with any installable versions previously reported;
│  │           ├─ numpy 1.26.3 conflicts with any installable versions previously reported;
│  │           └─ numpy 1.26.4 conflicts with any installable versions previously reported;
│  └─ dask-ml [2021.11.16|2021.11.30|...|2025.1.0] would require
│     └─ numba >=0.51.0 , which can be installed (as previously explained);
├─ fastjmd95 is installable and it requires
│  └─ numba, which can be installed (as previously explained);
├─ flax >=0.10.2  is installable and it requires
│  └─ tensorstore with the potential options
│     ├─ tensorstore [0.1.44|0.1.46|...|0.1.65] would require
│     │  └─ numpy >=1.22.4,<2.0a0 , which conflicts with any installable versions previously reported;
│     ├─ tensorstore 0.1.44 would require
│     │  ├─ libjpeg-turbo >=2.1.5.1,<3.0a0 , which can be installed;
│     │  ├─ numpy >=1.22.4,<2.0a0 , which conflicts with any installable versions previously reported;
│     │  └─ python_abi 3.10.* *_cp310, which can be installed;
│     ├─ tensorstore 0.1.44 would require
│     │  ├─ libjpeg-turbo >=2.1.5.1,<3.0a0 , which can be installed;
│     │  ├─ numpy >=1.23.5,<2.0a0 , which conflicts with any installable versions previously reported;
│     │  └─ python_abi 3.11.* *_cp311, which can be installed;
│     ├─ tensorstore [0.1.44|0.1.46|...|0.1.65] would require
│     │  └─ numpy >=1.23.5,<2.0a0 , which conflicts with any installable versions previously reported;
│     ├─ tensorstore 0.1.44 would require
│     │  ├─ libjpeg-turbo >=2.1.5.1,<3.0a0 , which can be installed;
│     │  └─ numpy >=1.26.0,<2.0a0 , which conflicts with any installable versions previously reported;
│     ├─ tensorstore [0.1.44|0.1.46|...|0.1.50] would require
│     │  └─ numpy >=1.26.0,<2.0a0 , which conflicts with any installable versions previously reported;
│     ├─ tensorstore 0.1.44 would require
│     │  ├─ libjpeg-turbo >=2.1.5.1,<3.0a0 , which can be installed;
│     │  ├─ numpy >=1.22.4,<2.0a0 , which conflicts with any installable versions previously reported;
│     │  └─ python_abi 3.8.* *_cp38, which can be installed;
│     ├─ tensorstore 0.1.44 would require
│     │  ├─ libjpeg-turbo >=2.1.5.1,<3.0a0 , which can be installed;
│     │  ├─ numpy >=1.22.4,<2.0a0 , which conflicts with any installable versions previously reported;
│     │  └─ python_abi 3.9.* *_cp39, which can be installed;
│     ├─ tensorstore 0.1.51 would require
│     │  └─ numpy >=1.26.2,<2.0a0 , which conflicts with any installable versions previously reported;
│     ├─ tensorstore [0.1.51|0.1.54|...|0.1.65] would require
│     │  └─ numpy >=1.26.4,<2.0a0 , which conflicts with any installable versions previously reported;
│     ├─ tensorstore 0.1.51 would require
│     │  └─ numpy >=1.26.3,<2.0a0 , which conflicts with any installable versions previously reported;
│     ├─ tensorstore [0.1.62|0.1.65] would require
│     │  ├─ numpy >=2.1.1,<3.0a0  with the potential options
│     │  │  ├─ numpy [2.0.0|2.0.1|...|2.2.6], which can be installed (as previously explained);
│     │  │  ├─ numpy [2.0.0|2.0.1|...|2.2.6], which can be installed (as previously explained);
│     │  │  ├─ numpy [2.1.0|2.1.1|...|2.2.6], which can be installed (as previously explained);
│     │  │  ├─ numpy [2.1.1|2.1.2|...|2.2.6], which cannot be installed (as previously explained);
│     │  │  ├─ numpy [2.1.2|2.1.3|...|2.2.6], which can be installed (as previously explained);
│     │  │  ├─ numpy [2.3.0|2.3.1|2.3.2] would require
│     │  │  │  └─ python_abi 3.11.* *_cp311, which can be installed;
│     │  │  ├─ numpy [2.3.0|2.3.1|2.3.2] conflicts with any installable versions previously reported;
│     │  │  ├─ numpy [2.3.0|2.3.1|2.3.2] would require
│     │  │  │  └─ python_abi 3.13.* *_cp313t, which can be installed;
│     │  │  ├─ numpy [2.3.0|2.3.1|2.3.2] would require
│     │  │  │  └─ python_abi 3.13.* *_cp313, which can be installed;
│     │  │  ├─ numpy 2.3.2 would require
│     │  │  │  └─ python >=3.14.0rc2,<3.15.0a0 , which requires
│     │  │  │     └─ _python_rc, which does not exist (perhaps a missing channel);
│     │  │  ├─ numpy 2.3.2 would require
│     │  │  │  └─ python_abi 3.14.* *_cp314, which conflicts with any installable versions previously reported;
│     │  │  └─ numpy 2.3.2 would require
│     │  │     └─ python_abi 3.14.* *_cp314t, which can be installed;
│     │  └─ python_abi 3.13.* *_cp313, which can be installed;
│     ├─ tensorstore 0.1.65 would require
│     │  ├─ libprotobuf >=5.28.2,<5.28.3.0a0 , which can be installed;
│     │  └─ python_abi 3.10.* *_cp310, which can be installed;
│     ├─ tensorstore 0.1.65 would require
│     │  └─ libprotobuf >=5.29.3,<5.29.4.0a0  with the potential options
│     │     ├─ libprotobuf 5.29.3 would require
│     │     │  └─ libabseil >=20250127.0,<20250128.0a0 , which can be installed;
│     │     └─ libprotobuf 5.29.3 would require
│     │        └─ libabseil >=20250127.1,<20250128.0a0 , which can be installed;
│     ├─ tensorstore 0.1.65 would require
│     │  ├─ libprotobuf >=5.28.2,<5.28.3.0a0 , which can be installed;
│     │  └─ python_abi 3.11.* *_cp311, which can be installed;
│     ├─ tensorstore 0.1.65 would require
│     │  └─ libprotobuf >=5.28.2,<5.28.3.0a0 , which can be installed;
│     ├─ tensorstore 0.1.65 would require
│     │  ├─ libprotobuf >=5.28.2,<5.28.3.0a0 , which can be installed;
│     │  └─ python_abi 3.13.* *_cp313, which can be installed;
│     └─ tensorstore 0.1.65 would require
│        ├─ libprotobuf >=5.28.2,<5.28.3.0a0 , which can be installed;
│        └─ python_abi 3.9.* *_cp39, which can be installed;
├─ pangeo-notebook 2025.07.15**  is not installable because it requires
│  └─ pangeo-dask 2025.7.15.* , which requires
│     └─ dask 2025.7.0.* , which requires
│        └─ openssl !=1.1.1e , which conflicts with any installable versions previously reported;
├─ python 3.12** , which cannot be installed (as previously explained);
├─ tensorflow >=2.17.0 cuda12* is not installable because there are no viable options
│  ├─ tensorflow 2.17.0 would require
│  │  └─ tensorflow-base [2.17.0 cuda120py310hdfcf8bd_201|2.17.0 cuda120py39hee30cbf_0|2.17.0 cuda120py39hee30cbf_201], which requires
│  │     └─ numpy >=1.22.4,<2.0a0 , which conflicts with any installable versions previously reported;
│  ├─ tensorflow 2.17.0 would require
│  │  └─ tensorflow-base [2.17.0 cuda120py310hdd86fba_202|2.17.0 cuda120py311h2719f00_202|2.17.0 cuda120py312h8a249fc_202|2.17.0 cuda120py39hec49795_202], which requires
│  │     ├─ libabseil >=20240116.2,<20240117.0a0 , which conflicts with any installable versions previously reported;
│  │     └─ libprotobuf >=4.25.3,<4.25.4.0a0 , which conflicts with any installable versions previously reported;
│  ├─ tensorflow 2.17.0 would require
│  │  └─ tensorflow-base [2.17.0 cuda120py310ha9db03a_203|2.17.0 cuda120py311h516fdd3_203|2.17.0 cuda120py312hbec54f7_203|2.17.0 cuda120py39hf283d87_203], which requires
│  │     ├─ libabseil >=20240722.0,<20240723.0a0 , which conflicts with any installable versions previously reported;
│  │     └─ libprotobuf >=5.27.5,<5.27.6.0a0 , which conflicts with any installable versions previously reported;
│  ├─ tensorflow 2.17.0 would require
│  │  └─ tensorflow-base [2.17.0 cuda120py311h013dac2_0|2.17.0 cuda120py311h013dac2_201], which requires
│  │     └─ numpy >=1.23.5,<2.0a0 , which conflicts with any installable versions previously reported;
│  ├─ tensorflow 2.17.0 would require
│  │  └─ tensorflow-base 2.17.0 cuda120py312h476c953_201, which requires
│  │     └─ numpy >=1.26.4,<2.0a0 , which conflicts with any installable versions previously reported;
│  ├─ tensorflow 2.18.0 would require
│  │  └─ tensorflow-base [2.18.0 cuda126py310h37489de_200|2.18.0 cuda126py311h593f62b_200|2.18.0 cuda126py312hfb0ba9c_200|2.18.0 cuda126py39h7b6b450_200], which requires
│  │     ├─ libabseil >=20240722.0,<20240723.0a0 , which conflicts with any installable versions previously reported;
│  │     └─ libprotobuf >=5.28.3,<5.28.4.0a0 , which conflicts with any installable versions previously reported;
│  ├─ tensorflow 2.18.0 would require
│  │  ├─ tensorflow-base 2.18.0 cuda126py310hf8d92a8_201, which requires
│  │  │  ├─ libabseil >=20240722.0,<20240723.0a0 , which conflicts with any installable versions previously reported;
│  │  │  ├─ libjpeg-turbo >=3.1.0,<4.0a0 , which conflicts with any installable versions previously reported;
│  │  │  ├─ libprotobuf >=5.28.3,<5.28.4.0a0 , which conflicts with any installable versions previously reported;
│  │  │  └─ libtensorflow_framework 2.18.0 cuda126had8e244_201, which requires
│  │  │     └─ libprotobuf >=5.28.3,<5.28.4.0a0 , which conflicts with any installable versions previously reported;
│  │  └─ tensorflow-estimator 2.18.0 cuda126py310h8556f74_201, which requires
│  │     └─ python_abi 3.10.* *_cp310, which can be installed;
│  ├─ tensorflow 2.18.0 would require
│  │  ├─ tensorflow-base 2.18.0 cuda126py310h8ef36bb_250, which requires
│  │  │  └─ libabseil >=20240722.0,<20240723.0a0 , which conflicts with any installable versions previously reported;
│  │  └─ tensorflow-estimator 2.18.0 cuda126py310h3fb4243_250, which can be installed (as previously explained);
│  ├─ tensorflow 2.18.0 would require
│  │  ├─ tensorflow-base 2.18.0 cuda126py310h8b0eb61_251, which requires
│  │  │  ├─ libabseil >=20240722.0,<20240723.0a0 , which conflicts with any installable versions previously reported;
│  │  │  ├─ libjpeg-turbo >=3.1.0,<4.0a0 , which conflicts with any installable versions previously reported;
│  │  │  └─ libtensorflow_framework 2.18.0 cuda126h3f80936_251, which requires
│  │  │     ├─ libprotobuf >=5.28.3,<5.28.4.0a0 , which conflicts with any installable versions previously reported;
│  │  │     └─ openssl >=3.5.1,<4.0a0 , which conflicts with any installable versions previously reported;
│  │  └─ tensorflow-estimator 2.18.0 cuda126py310h3fb4243_251, which can be installed (as previously explained);
│  ├─ tensorflow 2.18.0 would require
│  │  ├─ tensorflow-base 2.18.0 cuda126py311ha4cab8f_201, which cannot be installed (as previously explained);
│  │  └─ tensorflow-estimator 2.18.0 cuda126py311he0d7cf1_201, which requires
│  │     └─ python_abi 3.11.* *_cp311, which can be installed;
│  ├─ tensorflow 2.18.0 would require
│  │  ├─ tensorflow-base 2.18.0 cuda126py311h4bc60a2_250, which cannot be installed (as previously explained);
│  │  └─ tensorflow-estimator 2.18.0 cuda126py311hcf67771_250, which can be installed (as previously explained);
│  ├─ tensorflow 2.18.0 would require
│  │  ├─ tensorflow-base 2.18.0 cuda126py311h4dd1e35_251, which cannot be installed (as previously explained);
│  │  └─ tensorflow-estimator 2.18.0 cuda126py311hcf67771_251, which can be installed (as previously explained);
│  ├─ tensorflow 2.18.0 would require
│  │  └─ tensorflow-base [2.18.0 cuda126py312h439e89e_201|2.18.0 cuda126py312h4e605f9_250], which cannot be installed (as previously explained);
│  ├─ tensorflow 2.18.0 would require
│  │  ├─ tensorflow-base 2.18.0 cuda126py312h3007894_251, which cannot be installed (as previously explained);
│  │  └─ tensorflow-estimator 2.18.0 cuda126py312haa5479e_251, which requires
│  │     ├─ python >=3.12,<3.13.0a0 , which cannot be installed (as previously explained);
│  │     └─ python_abi 3.12.* *_cp312, which conflicts with any installable versions previously reported;
│  ├─ tensorflow 2.18.0 would require
│  │  ├─ tensorflow-base 2.18.0 cuda126py39hcec06bb_201, which cannot be installed (as previously explained);
│  │  └─ tensorflow-estimator 2.18.0 cuda126py39h457cbf8_201, which requires
│  │     └─ python_abi 3.9.* *_cp39, which can be installed;
│  ├─ tensorflow 2.18.0 would require
│  │  ├─ tensorflow-base 2.18.0 cuda126py39h65081ab_250, which cannot be installed (as previously explained);
│  │  └─ tensorflow-estimator 2.18.0 cuda126py39h7914130_250, which can be installed (as previously explained);
│  └─ tensorflow 2.18.0 would require
│     ├─ tensorflow-base 2.18.0 cuda126py39h01a23f3_251, which cannot be installed (as previously explained);
│     └─ tensorflow-estimator 2.18.0 cuda126py39h7914130_251, which can be installed (as previously explained);
└─ virtualizarr is installable and it requires
   └─ numpy >=2.0.0  with the potential options
      ├─ numpy [2.0.0|2.0.1|...|2.2.6], which can be installed (as previously explained);
      ├─ numpy [2.0.0|2.0.1|...|2.2.6], which can be installed (as previously explained);
      ├─ numpy [2.0.0|2.0.1|2.0.2], which can be installed;
      ├─ numpy [2.0.0|2.0.1|2.0.2], which can be installed (as previously explained);
      ├─ numpy 2.1.0, which can be installed;
      ├─ numpy [2.1.0|2.1.1|...|2.2.6], which can be installed (as previously explained);
      ├─ numpy [2.1.1|2.1.2|...|2.2.6], which cannot be installed (as previously explained);
      ├─ numpy [2.1.2|2.1.3|...|2.2.6], which can be installed (as previously explained);
      ├─ numpy [2.3.0|2.3.1|2.3.2], which cannot be installed (as previously explained);
      ├─ numpy [2.3.0|2.3.1|2.3.2] conflicts with any installable versions previously reported;
      ├─ numpy [2.3.0|2.3.1|2.3.2], which cannot be installed (as previously explained);
      ├─ numpy [2.3.0|2.3.1|2.3.2], which cannot be installed (as previously explained);
      ├─ numpy 2.3.2, which cannot be installed (as previously explained);
      ├─ numpy 2.3.2, which cannot be installed (as previously explained);
      └─ numpy 2.3.2, which cannot be installed (as previously explained).
{
    "success": false
}

If I'm not mistaken, this has something to do with libprotobuf, see conda-forge/tensorflow-feedstock#447 (comment), and possible resolution at conda-forge/tensorflow-feedstock#437

scottyhq · 2025-09-24T18:59:46Z

/condalock

add virtualizarr

3f02424

scottyhq marked this pull request as draft February 3, 2025 12:43

weiji14 mentioned this pull request Mar 18, 2025

Update pangeo-notebook metapackage version to 2025.02.14 #603

Merged

Merge branch 'master' into add-virtualizarr

9e4c746

weiji14 mentioned this pull request Jul 31, 2025

Unpin CUDA 12.* minor version #618

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Merge branch 'master' into add-virtualizarr

fc01cbb

Merge branch 'master' into add-virtualizarr

094f405

maxrjones mentioned this pull request Aug 27, 2025

Add icechunk / virtualizarr NASA-IMPACT/pangeo-notebook-veda-image#42

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maxrjones marked this pull request as ready for review August 27, 2025 20:28

maxrjones approved these changes Aug 27, 2025

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maxrjones self-requested a review September 10, 2025 21:53

Merge branch 'master' into add-virtualizarr

e204361

weiji14 mentioned this pull request Sep 24, 2025

Fix permissions for chatops actions to add reactions #625

Merged

Add virtualizarr #602

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Add virtualizarr #602

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