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Bump numpy from 1.19.5 to 1.21.6
Bumps numpy from 1.19.5 to 1.21.6.
Release notes
Sourced from numpy's releases.
v1.21.6
NumPy 1.21.6 Release Notes
NumPy 1.21.6 is a very small release that achieves two things:
- Backs out the mistaken backport of C++ code into 1.21.5.
- Provides a 32 bit Windows wheel for Python 3.10.
The provision of the 32 bit wheel is intended to make life easier for oldest-supported-numpy.
Checksums
MD5
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SHA256
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Commits
ef0ec78
Merge pull request #21323 from charris/prepare-1.21.6-release24a8ec0
REL: Prepare for NumPy 1.21.6 release.68ff2d3
Merge pull request #21318 from charris/revert-2035430ba38c
REV: Revert pull request #20464 from charris/backport-203547cfef93
REL: prepare 1.21.x for further developmentc3d0a09
Merge pull request #20625 from charris/prepare-for-1.22.5d8dfa93
REL: Prepare for NumPy 1.21.5 release.e559d9a
Merge pull request #20618 from charris/backport-20616c2495e3
MAINT: Help boost::python libraries at least not crash8c04d2a
Merge pull request #20613 from charris/backport-20604- Additional commits viewable in compare view
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Hello @melindaloubser1 , I'm wondering if this is going to be addressed soon, as I believe that it may resolve issues with running on the Mac M1 (see here : Since NumPy 1.21.0 it has released universal2 wheels for Python 3.8 and Python 3.9 on Mac. It becomes installable on Mac M1.
).
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Ok seems it's mostly some type annotations in the code quality that block the checks from passing. Looking through the change logs for 1.20 and 1.21 I didn't find anything worrisome, if anything there should be more safeguards/errors now.
Looking through the training logs I also found some depreciation warnings that we should take care of:
- VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
- DeprecationWarning:
np.object
is a deprecated alias for the builtinobject
. To silence this warning, useobject
by itself. Doing this will not modify any behavior and is safe.
Well actually it's 70 mypy errors... definitely not something to do in an afternoon
Whoop whoop!! 💯
@melindaloubser1 thanks for going ahead and merging, I was a bit behind on this! 🙌🌟