Add support for numpy 1.22

[iyanmv]

Solves #365

[codecov]

Codecov Report

Merging #366 (ff92175) into master (810bca8) will not change coverage.
The diff coverage is n/a.

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##           master     #366   +/-   ##
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  Coverage   96.71%   96.71%           
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  Files          42       42           
  Lines        5230     5230           
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  Hits         5058     5058           
  Misses        172      172           

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[mhostetter]

@iyanmv I like this thanks! I was just checking today to see about when Numba / NumPy might support Python 3.11 (I see people trying to install galois with Python 3.11). But this is very welcome, indeed.

Do you think it's worth a published release allowing users to get the latest everything? I don't have any another releases in the queue at this moment. So maybe it could be a small-ish release.

[mhostetter]

I also want to check that NumPy 1.22 doesn't throw any deprecation warnings or something similar. I've had that happen before. I'm testing on my machine now. Also curious if the test results have any warnings listed.

[mhostetter]

When I ran the tests on my machine I get these warnings (which I've seen before). They seem to be scipy-related. I don't believe NumPy 1.22 added anything. And neither did I see anything when running through some example in IPython.

This looks good to go to me. Any other thoughts? Thoughts on publishing a new release now?

================================================================== warnings summary ==================================================================/usr/lib/python3/dist-packages/scipy/sparse/sputils.py:16
/usr/lib/python3/dist-packages/scipy/sparse/sputils.py:16
/usr/lib/python3/dist-packages/scipy/sparse/sputils.py:16
/usr/lib/python3/dist-packages/scipy/sparse/sputils.py:16
/usr/lib/python3/dist-packages/scipy/sparse/sputils.py:16
/usr/lib/python3/dist-packages/scipy/sparse/sputils.py:16
/usr/lib/python3/dist-packages/scipy/sparse/sputils.py:16
/usr/lib/python3/dist-packages/scipy/sparse/sputils.py:16
/usr/lib/python3/dist-packages/scipy/sparse/sputils.py:16
/usr/lib/python3/dist-packages/scipy/sparse/sputils.py:16
/usr/lib/python3/dist-packages/scipy/sparse/sputils.py:16
/usr/lib/python3/dist-packages/scipy/sparse/sputils.py:16
/usr/lib/python3/dist-packages/scipy/sparse/sputils.py:16
/usr/lib/python3/dist-packages/scipy/sparse/sputils.py:16
/usr/lib/python3/dist-packages/scipy/sparse/sputils.py:16
  /usr/lib/python3/dist-packages/scipy/sparse/sputils.py:16: DeprecationWarning: `np.typeDict` is a deprecated alias for `np.sctypeDict`.
    supported_dtypes = [np.typeDict[x] for x in supported_dtypes]

/usr/lib/python3/dist-packages/scipy/linalg/__init__.py:217
  /usr/lib/python3/dist-packages/scipy/linalg/__init__.py:217: DeprecationWarning: The module numpy.dual is deprecated.  Instead of using dual, use the functions directly from numpy or scipy.
    from numpy.dual import register_func

-- Docs: https://docs.pytest.org/en/latest/warnings.html
===================================================== 7268 passed, 16 warnings in 315.80 seconds =====================================================

[iyanmv]

I guess it's fine to have a small release, but it's your call 😉

Interesting... I only got one warning, but nothing related with numpy or scipy.

============================================================ warnings summary =============================================================
../../../../../../usr/lib/python3.10/site-packages/pytest_asyncio/plugin.py:191
  /usr/lib/python3.10/site-packages/pytest_asyncio/plugin.py:191: DeprecationWarning: The 'asyncio_mode' default value will change to 'strict' in future, please explicitly use 'asyncio_mode=strict' or 'asyncio_mode=auto' in pytest configuration file.
    config.issue_config_time_warning(LEGACY_MODE, stacklevel=2)

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=============================================== 7268 passed, 1 warning in 275.54s (0:04:35) ===============================================

I will run them again in a Arch chroot instead of a python env.

[mhostetter]

I'm ready to merge. Let me know when you are.

[iyanmv]

All tests passed on my chroot. I think numpy 1.22 doesn't break anything.