MAINT: Add support for python 3.11 and drop support for 3.7

[zoj613]

Cc @ricardoV94

[ricardoV94]

Why pin a specific version of numpy? Can it be a minimum?

[zoj613]

Why pin a specific version of numpy? Can it be a minimum?

Which part are you referring to? There is a pinned version of numpy for building and one for development.

1. Its important to pin the version to the lowest numpy version supported by a particular version of python. This is strongly encouraged by the numpy/scipy dev teams as well. Also see: https://numpy.org/neps/nep-0029-deprecation_policy.html
2. Pinning the numpy development version to the version installable in all supported python version seems sensible to ensure consistent behavior.

[codecov-commenter]

Codecov Report

Patch and project coverage have no change.

Comparison is base (7bbba58) 100.00% compared to head (4c76a7c) 100.00%.

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Additional details and impacted files

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  Coverage   100.00%   100.00%            
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  Files            1         2     +1     
  Lines            2       135   +133     
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+ Hits             2       135   +133     

see 1 file with indirect coverage changes

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[ricardoV94]

In the pyproject, aren't you forcing a specific numpy version when installing the package with python 3.11? Instead of just a minimum version?

The reason I am asking is that other libraries might have also specific numpy requirements, not just because they test with it but because they actually need it (eg numba) which could unnecessarily become incompatible with this one.

Or am I missing something?

[ricardoV94]

Ah is it just for building the wheels?

[zoj613]

Ah is it just for building the wheels?

Yes, thats only for building the wheels since as I mentioned in the 2 points above that it must be done with the lowest supported numpy version for that particular version of python. For normal installation the lines

requires-python = ">=3.8"
dependencies = ["numpy >= 1.19.0"]

Are the only ones that matter.

[ricardoV94]

Nice, apologies for the confusion.

[zoj613]

The tests pass, but it looks like codecov is broken all of sudden and wont upload the code coverage report and thus failing the entire CI pipeline.