Hi All, On behalf of the NumPy team, I'm pleased to announce the release of NumPy 2.4.3. The NumPy 2.4.3 is a patch release that fixes bugs discovered after the 2.4.2 release. The most user visible fix may be a threading fix for OpenBLAS on ARM, closing issue #30816.
This release supports Python versions 3.11-3.14. Wheels can be downloaded from PyPI <https://pypi.org/project/numpy/2.4.3>; release notes and the changelog are available on Github <https://github.com/numpy/numpy/releases/tag/v2.4.3>. *Contributors* A total of 11 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Antareep Sarkar + - Charles Harris - Joren Hammudoglu - Matthieu Darbois - Matti Picus - Nathan Goldbaum - Peter Hawkins - Pieter Eendebak - Sebastian Berg - Warren Weckesser - stratakis + *Pull requests merged* A total of 14 pull requests were merged for this release. - #30759: MAINT: Prepare 2.4.x for further development - #30827: BUG: Fix some leaks found via LeakSanitizer (#30756) - #30841: MAINT: Synchronize 2.4.x submodules with main - #30849: TYP: matlib: missing extended precision imports - #30850: BUG: Fix weak hash function in np.isin(). (#30840) - #30921: BUG: fix infinite recursion in np.ma.flatten_structured_array... - #30922: BUG: Fix buffer overrun in CPU baseline validation (#30877) - #30923: BUG: Fix busdaycalendar's handling of a bool array weekmask... - #30924: BUG: Fix reference leaks and NULL pointer dereferences (#30908) - #30925: MAINT: fix two minor issues noticed when touching the C API setup - #30955: ENH: Test .kind not .char in np.testing.assert_equal (#30879) - #30957: BUG: fix type issues in uses if PyDataType macros - #30958: MAINT: Don't use vulture 2.15, it has false positives - #30973: MAINT: update openblas (#30961) Cheers, Charles Harris
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