xarray v0.20.0

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Dependency Analysis

Please note that this analysis is highly experimental. The aim here is to make maintenance easier by inspecting the package's dependencies. Importantly this analysis does not support optional dependencies, please double check those before making changes. If you do not want hinting of this kind ever please add bot: inspection: false to your conda-forge.yml. If you encounter issues with this feature please ping the bot team conda-forge/bot.

Analysis of the source code shows a discrepancy between the library's imports and the package's stated requirements in the meta.yaml.

Packages found by inspection but not in the meta.yaml:

• pyyaml
• python-dateutil
• conda
• hypothesis
• sparse
• pytest

[conda-forge-linter]

Hi! This is the friendly automated conda-forge-linting service.

I just wanted to let you know that I linted all conda-recipes in your PR (recipe) and found it was in an excellent condition.

[jhamman]

One thing to double check here, we have two Python 3.7 only dependencies that are not listed in the recipe here:

• importlib_metadata (1.4 or later, Python 3.7 only)
• typing_extensions (3.7 or later, Python 3.7 only)

There was a long discussion in pydata/xarray#5845 so surfacing here to make sure we get the right outcome for this release.

ping @keewis, @dopplershift, @marscher, and @Illviljan

[ocefpaf]

@jhamman I need to check but I'm pretty sure we can maintain noarch and keep those installed across all Python versions. Where they exist in the standard library xarray will use it, where it doesn't, it will call the external module. This is a trick to keep things noarch and dependencies simple.

[marscher]

I think it would be safest, if we just install importlib_metadata unconditionally for all Python versions. We can drop this requirement when Python-3.7 is out of service.

[dopplershift]

I updated the dependencies to include importlib_metadata and typing_extensions >=3.7, as well as bumped numpy and pandas from upstream. Since I'm not listed as a maintainer, this should get a review from one of @shoyer @jhamman @ocefpaf .