Hi All, NumPy 2.5.4 is now available. This is a patch release that fixes bugs discovered after the 2.5.3 release. Highlights include:
- Many typing fixes and improvements - A workaround for the MSVC 19.51 bug (see below for details) This release supports Python versions 3.12-3.15. Wheels can be downloaded from PyPI <https://pypi.org/project/numpy/2.5.4>; release notes and the changelog are available on Github <https://github.com/numpy/numpy/releases/tag/v2.5.4>. *Contributors* A total of 9 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Aniket Singh Yadav - Bhuvansh Kataria + - Charles Harris - Iason Krommydas - Joren Hammudoglu - Lazizbek Ergashev + - Nathan Goldbaum - Sebastian Berg - Yeonho Kim *Pull requests merged* A total of 17 pull requests were merged for this release. - #32520: MAINT: Prepare 2.5.x for further development - #32557: BUG: Reset an unrepresentable fill_value on a dtype change (#32508) - #32565: BLD: work around MSVC 19.51 bug (#32561) - #32600: BUG: fix np.strings.replace truncating old/new to a's - #32707: BUG: fix ureduce reshape when a kept axis has size 0 (#32536) - #32709: BUG: fix two possible crashes in the ufunc.accumulate implementation ... - #32710: BUG: Reset an inherited fill_value in MaskedArray.__new__ as ... - #32711: ENH: Improvements and fixes for stringdtype hashing (#32563) - #32713: CI: increase ppc64le timeout to match other timeouts (#32583) - #32718: BUG: fix memory leak in legacy ArrayMethod wrapper code - #32719: BUG: check for non-finite input before calling gesdd/gelsd and ... - #32738: BUG: fix segfault in as_arrays() on self-referencing pyscalars - #32741: TYP: Various typing improvements. - #32791: BUG: Fix canonicalization/promotion of nested subarray types ... - #32888: MAINT: Update vendored-meson to match main. - #32904: TYP: Backport a number of typing updates. - #32956: TYP: Various typing fixes and improvements. Cheers, Charles Harris
_______________________________________________ NumPy-Discussion mailing list -- [email protected] To unsubscribe send an email to [email protected] https://mail.python.org/mailman3//lists/numpy-discussion.python.org Member address: [email protected]
