Add oldest-supported-numpy

[jan-janssen]

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[conda-forge-linter]

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

I wanted to let you know that I linted all conda-recipes in your PR (recipes/oldest-supported-numpy) and found some lint.

Here's what I've got...

For recipes/oldest-supported-numpy:

• The top level meta keys are in an unexpected order. Expecting ['package', 'source', 'build', 'requirements', 'test', 'about', 'extra'].

[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 (recipes/oldest-supported-numpy) and found it was in an excellent condition.

[jan-janssen]

Basically all this package does is setting the Numpy requirements via pip:

	numpy==1.16.0; python_version=='3.5' and platform_system=='AIX'
	numpy==1.16.0; python_version=='3.6' and platform_system=='AIX'
	numpy==1.16.0; python_version=='3.7' and platform_system=='AIX'
	
	numpy==1.18.5; python_version=='3.5' and platform_machine=='aarch64' and platform_python_implementation != 'PyPy'
	numpy==1.19.2; python_version=='3.6' and platform_machine=='aarch64' and platform_python_implementation != 'PyPy'
	numpy==1.19.2; python_version=='3.7' and platform_machine=='aarch64' and platform_python_implementation != 'PyPy'
	numpy==1.19.2; python_version=='3.8' and platform_machine=='aarch64' and platform_python_implementation != 'PyPy'
	
	numpy==1.21.0; python_version=='3.7' and platform_machine=='arm64' and platform_system=='Darwin'
	numpy==1.21.0; python_version=='3.8' and platform_machine=='arm64' and platform_system=='Darwin'
	numpy==1.21.0; python_version=='3.9' and platform_machine=='arm64' and platform_system=='Darwin'
	
	numpy==1.17.5; python_version=='3.8' and platform_machine=='s390x' and platform_python_implementation != 'PyPy'
	
	numpy==1.22.0; platform_machine=='loongarch64'
	
	numpy==1.13.3; python_version=='3.5' and platform_machine!='aarch64' and platform_machine!='loongarch64' and platform_system!='AIX'
	numpy==1.13.3; python_version=='3.6' and platform_machine!='aarch64' and platform_machine!='loongarch64' and platform_system!='AIX' and platform_python_implementation != 'PyPy'
	numpy==1.14.5; python_version=='3.7' and (platform_machine!='arm64' or platform_system!='Darwin') and platform_machine!='aarch64' and platform_machine!='loongarch64' and platform_system!='AIX' and platform_python_implementation != 'PyPy'
	numpy==1.17.3; python_version=='3.8' and (platform_machine!='arm64' or platform_system!='Darwin') and platform_machine!='aarch64' and platform_machine!='s390x' and platform_machine!='loongarch64' and platform_python_implementation != 'PyPy'
	numpy==1.19.3; python_version=='3.9' and (platform_machine!='arm64' or platform_system!='Darwin') and platform_machine!='loongarch64' and platform_python_implementation != 'PyPy'
	numpy==1.21.6; python_version=='3.10' and platform_machine!='loongarch64' and platform_python_implementation != 'PyPy'
	
	numpy==1.19.0; python_version=='3.6' and platform_machine!='loongarch64' and platform_python_implementation=='PyPy'
	numpy==1.20.0; python_version=='3.7' and platform_machine!='loongarch64' and platform_python_implementation=='PyPy'
	
	numpy; python_version>='3.11'
	numpy; python_version>='3.8' and platform_python_implementation=='PyPy'

This is not necessary for conda - but as some packages start to reply on oldest-supported-numpy this package is basically a meta package with no content.

[jan-janssen]

@conda-forge/help-python What is the best way to implement these requirements on the conda side?

[isuruf]

This should not be needed for conda. The linked error is fixed by pypa/pip#11117

[jan-janssen]

At the moment the pip check fails:

oldest-supported-numpy 2022.4.18 has requirement numpy==1.17.3; python_version == "3.8" and (platform_machine != "arm64" or platform_system != "Darwin") and platform_machine != "aarch64" and platform_machine != "s390x" and platform_machine != "loongarch64" and platform_python_implementation != "PyPy", but you have numpy 1.22.3.

[jan-janssen]

I thought about something like:

    - numpy =1.16.0  # [py <= 3.7 and python_impl == 'pypy']
    - numpy =1.18.5  # [py <= 3.5 and python_impl == 'cpython']
    - numpy =1.19.2  # [py <= 3.8 and python_impl == 'cpython' and aarch64]
    - numpy =1.21.0  # [py <= 3.9 and python_impl == 'cpython' and arm64]
    - numpy =1.17.3  # [py38]
    - numpy =1.19.3  # [py39]
    - numpy =1.21.6  # [py310]
    - numpy =1.17.3  # [py36 and python_impl == 'pypy']
    - numpy =1.19.3  # [py37 and python_impl == 'pypy']

[jakirkham]

Was wondering if upstream planned to cut a release ( pypa/pip#11117 (comment) ), which we could then just use

That said, if that's not going to happen soon, we can just rebuild pip with that patch