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; source archives, release notes, and wheel hashes are available on Github.

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