Release: 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. Pull requests merged ==================== A total of 17 pull requests were merged for this release. .. currentmodule:: numpy ========================= NumPy 2.5.4 Release Notes ========================= *Released on 2026-10-10.* NumPy 2.5.4 is a patch release that fixes bugs discovered after the 2.5.3 release. Highlights are: - Many typing fixes and improvements, - A workaround for the MSVC 19.51 bug, see below. This release supports Python versions 3.12-3.15. Improvements ============ - ``numpy.linalg.svd`` and ``numpy.linalg.lstsq`` now raise for inputs containing infinities instead of returning garbage results. - Fixed hangs in ``numpy.linalg.svd`` and ``numpy.linalg.lstsq`` for certain inputs containing infinities for recent versions of some LAPACK implementations. - ``numpy.linalg.cond`` now handles non-finite inputs more consistently. (`gh-32593 < >`__) StringDType hashing with NaN sentinels -------------------------------------- ``StringDType`` instances with equivalent floating-point NaN sentinels now have equal hashes. Previously, distinct NaN objects could produce equal dtype instances with different hashes, causing dictionary lookups and set deduplication to fail. (`gh-32563 < >`__) Changes ======= ``MaskedArray`` resets a fill_value that cannot be represented in a new dtype ----------------------------------------------------------------------------- A fill_value copied from a source array is now reset to the default fill_value for the new dtype when it cannot be represented in that dtype. Previously the copied value could be stale: ufuncs that change dtype left the result holding a fill_value typed for the old dtype, which raised a ``TypeError`` only when something later validated it (such as ``.view()``), and a floating point fill_value that overflows an integer dtype was kept as an out-of-range value together with a ``RuntimeWarning``. Both now fall back to the default, including when a masked array is passed to ``MaskedArray`` with a different ``dtype``. A fill_value given explicitly by the user is still validated and raises as before. This can now raise a ``ComplexWarning`` if the fill_value is complex and the new dtype is real. (`gh-32508 < >`__) (`gh-32562 < >`__) Contributors ============ A total of 9 people contributed to this release. People with a "+" by their names contributed a patch for the first time. Pull requests merged ==================== A total of 17 pull requests were merged for this release. Signed-off-by: Jaipaul Cheernam <[email protected]> --- .../python/{python3-numpy_2.5.3.bb => python3-numpy_2.5.4.bb} | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) rename meta/recipes-devtools/python/{python3-numpy_2.5.3.bb => python3-numpy_2.5.4.bb} (97%) diff --git a/meta/recipes-devtools/python/python3-numpy_2.5.3.bb b/meta/recipes-devtools/python/python3-numpy_2.5.4.bb similarity index 97% rename from meta/recipes-devtools/python/python3-numpy_2.5.3.bb rename to meta/recipes-devtools/python/python3-numpy_2.5.4.bb index 338bdd2bbd..93aa356db1 100644 --- a/meta/recipes-devtools/python/python3-numpy_2.5.3.bb +++ b/meta/recipes-devtools/python/python3-numpy_2.5.4.bb @@ -10,7 +10,7 @@ SRCNAME = "numpy" SRC_URI = "${GITHUB_BASE_URI}/download/v${PV}/${SRCNAME}-${PV}.tar.gz \ file://run-ptest \ " -SRC_URI[sha256sum] = "df2d5874ff183595a4ba404edd04f6bd9b5505c1d7708573f6a6c17489a67563" +SRC_URI[sha256sum] = "9a94cf751c9ad8ebaa835bcd3d40dacf8534ad086b88c38029b65123c7999d2a" GITHUB_BASE_URI = "https://github.com/numpy/numpy/releases"; UPSTREAM_CHECK_REGEX = "releases/tag/v?(?P<pver>\d+(\.\d+)+)$"
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