[Python-announce] NumPy 2.2. 2 Release

Hi All,

On behalf of the NumPy team, I'm pleased to announce the release of
NumPy 2.2.2. NumPy 2.2.2 is a patch release that fixes bugs found after the
2.2.1 release. The number of typing fixes/updates is notable.

This release supports Python 3.10-3.13. Wheels can be downloaded from PyPI
<https://pypi.org/project/numpy/2.2.2>; source archives, release notes, and
wheel hashes are available on Github
<https://github.com/numpy/numpy/releases/tag/v2.2.2>.

*Contributors*

A total of 8 people contributed to this release.  People with a "+" by their
names contributed a patch for the first time.

   - Alicia Boya García +
   - Charles Harris
   - Joren Hammudoglu
   - Kai Germaschewski +
   - Nathan Goldbaum
   - PTUsumit +
   - Rohit Goswami
   - Sebastian Berg


*Pull requests merged*

A total of 16 pull requests were merged for this release.


   - #28050: MAINT: Prepare 2.2.x for further development
   - #28055: TYP: fix ``void`` arrays not accepting ``str`` keys in
   ``__setitem__``
   - #28066: TYP: fix unnecessarily broad ``integer`` binop return types
   (#28065)
   - #28112: TYP: Better ``ndarray`` binop return types for ``float64`` &...
   - #28113: TYP: Return the correct ``bool`` from ``issubdtype``
   - #28114: TYP: Always accept ``date[time]`` in the ``datetime64``
   constructor
   - #28120: BUG: Fix auxdata initialization in ufunc slow path
   - #28131: BUG: move reduction initialization to ufunc initialization
   - #28132: TYP: Fix ``interp`` to accept and return scalars
   - #28137: BUG: call PyType_Ready in f2py to avoid data races
   - #28145: BUG: remove unnecessary call to PyArray_UpdateFlags
   - #28160: BUG: Avoid data race in PyArray_CheckFromAny_int
   - #28175: BUG: Fix f2py directives and --lower casing
   - #28176: TYP: Fix overlapping overloads issue in 2->1 ufuncs
   - #28177: TYP: preserve shape-type in ndarray.astype()
   - #28178: TYP: Fix missing and spurious top-level exports


Cheers,

Charles Harris