numpy v1.21.5

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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:

• urllib3
• cython
• docutils
• sphinx
• gitpython
• paver
• privy
• numba
• toml
• pygithub
• beautifulsoup4
• numpydoc
• versioneer-518

[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.

[h-vetinari]

@conda-forge/arm-arch @conda-forge/help-ppc64le
Any idea why suddenly /bin/python doesn't seem to work anymore for aarch/ppc64le? I can't see how my changes would have affected this, and it worked a few hours ago.

/home/conda/feedstock_root/build_artifacts/numpy_1640040320574/test_tmp/conda_test_runner.sh: line 3: /home/conda/feedstock_root/build_artifacts/numpy_1640040320574/[...]/bin/python: cannot execute binary file