From Newsgroup: comp.lang.python.announce

Hi All,

On behalf of the NumPy team I am pleased to announce the release of NumPy 1.21.3. NumPy 1.21.3 is a maintenance release that fixes a few bugs
discovered after the 1.21.2 release. It also provides 64 bit Python 3.10.0 wheels. Note a few oddities about the Python 3.10 wheels:

- There are no 32 bit wheels for Windows, Mac, or Linux.
- The Mac Intel builds are only available in universal2 wheels.

The Python versions supported in this release are 3.7-3.10. If you want to compile your own version using gcc-11 you will need to use gcc-11.2+ to
avoid problems. Wheels can be downloaded from PyPI <https://pypi.org/project/numpy/1.21.3/>; source archives, release notes,
and wheel hashes are available on Github <https://github.com/numpy/numpy/releases/tag/v1.21.3>. Linux users will
need pip >= 0.19.3 in order to install manylinux2010 and manylinux2014
wheels. A recent version of pip is needed to install the universal2
macos wheels.

*Contributors*

A total of 7 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

- Aaron Meurer
- Bas van Beek
- Charles Harris
- Developer-Ecosystem-Engineering +
- Kevin Sheppard
- Sebastian Berg
- Warren Weckesser


*Pull requests merged*

A total of 8 pull requests were merged for this release.

- #19745: ENH: Add dtype-support to 3 ```generic``/``ndarray`` methods
- #19955: BUG: Resolve Divide by Zero on Apple silicon + test failures...
- #19958: MAINT: Mark type-check-only ufunc subclasses as ufunc
aliases...
- #19994: BUG: np.tan(np.inf) test failure
- #20080: BUG: Correct incorrect advance in PCG with emulated int128
- #20081: BUG: Fix NaT handling in the PyArray_CompareFunc for
datetime...
- #20082: DOC: Ensure that we add documentation also as to the dict
for...
- #20106: BUG: core: result_type(0, np.timedelta64(4)) would seg. fault.


Cheers,

Charles Harris
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