Hi All,

On behalf of the NumPy team I am pleased to announce the release of NumPy
1.21.5. NumPy 1.21.5 is a maintenance release that fixes a few bugs
discovered after the 1.21.4 release and does some maintenance to extend the
1.21.x lifetime. 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.

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/1.21.5/>; source archives, release notes,
and wheel hashes are available on Github
<https://github.com/numpy/numpy/releases/tag/v1.21.5>. 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.

   - Bas van Beek
   - Charles Harris
   - Matti Picus
   - Rohit Goswami
   - Ross Barnowski
   - Sayed Adel
   - Sebastian Berg

*Pull requests merged*

A total of 11 pull requests were merged for this release.

   - #20357: MAINT: Do not forward `__(deep)copy__` calls of
   `_GenericAlias`\...
   - #20462: BUG: Fix float16 einsum fastpaths using wrong tempvar
   - #20463: BUG, DIST: Print os error message when the executable not exist
   - #20464: BLD: Verify the ability to compile C++ sources before
   initiating\...
   - #20465: BUG: Force `npymath` to respect `npy_longdouble`
   - #20466: BUG: Fix failure to create aligned, empty structured dtype
   - #20467: ENH: provide a convenience function to replace
   `npy_load_module`
   - #20495: MAINT: update wheel to version that supports python3.10
   - #20497: BUG: Clear errors correctly in F2PY conversions
   - #20613: DEV: add a warningfilter to fix pytest workflow.
   - #20618: MAINT: Help boost::python libraries at least not crash

Cheers,

Charles Harris
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