issues: 1603957501

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id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
1603957501 I_kwDOAMm_X85fmnL9 7573 Add optional min versions to conda-forge recipe (`run_constrained`) 2448579 closed 0     4 2023-02-28T23:12:15Z 2023-08-21T16:12:34Z 2023-08-21T16:12:21Z MEMBER      

Is your feature request related to a problem?

I opened this PR to add minimum versions for our optional dependencies: https://github.com/conda-forge/xarray-feedstock/pull/84/files to prevent issues like #7467

I think we'd need a policy to choose which ones to list. Here's the current list: run_constrained: - bottleneck >=1.3 - cartopy >=0.20 - cftime >=1.5 - dask-core >=2022.1 - distributed >=2022.1 - flox >=0.5 - h5netcdf >=0.13 - h5py >=3.6 - hdf5 >=1.12 - iris >=3.1 - matplotlib-base >=3.5 - nc-time-axis >=1.4 - netcdf4 >=1.5.7 - numba >=0.55 - pint >=0.18 - scipy >=1.7 - seaborn >=0.11 - sparse >=0.13 - toolz >=0.11 - zarr >=2.10

Some examples to think about: 1. iris seems like a bad one to force. It seems like people might use Iris and Xarray independently and Xarray shouldn't force a minimum version. 2. For backends, I arbitrarily kept netcdf4, h5netcdf and zarr. 3. It seems like we should keep array types: so dask, sparse, pint.

Describe the solution you'd like

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Describe alternatives you've considered

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