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
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