similarity index 97%
rename from meta/recipes-devtools/python/python3-numpy_2.5.2.bb
rename to meta/recipes-devtools/python/python3-numpy_2.5.3.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] = "d482d171c406ae88c5b19cad3b6a1c4c5209f886ab74bc44c2c865c23f52d860"
+SRC_URI[sha256sum] = "df2d5874ff183595a4ba404edd04f6bd9b5505c1d7708573f6a6c17489a67563"
GITHUB_BASE_URI = "https://github.com/numpy/numpy/releases"
UPSTREAM_CHECK_REGEX = "releases/tag/v?(?P<pver>\d+(\.\d+)+)$"
The NumPy 2.5.3 is a patch release that fixes bugs discovered after the 2.5.2 release. Apart from the usual bug and maintenance work, there are a number of StringDType related fixes for problems discovered during the ongoing string work in the main branch. This release supports Python versions 3.12-3.15 Changes ======= * Casting a fixed-width byte string array (``np.bytes_``) to ``StringDType`` now raises ``TypeError`` when the bytes are not valid UTF-8. Previously the invalid bytes were stored as-is and later caused undefined behavior in string operations. (`gh-32296 <https://github.com/numpy/numpy/pull/32296>`__) * ``MaskedArray._fill_value`` would become stale when ufuncs that change dtype left the result holding a fill_value typed for the old dtype. The mismatch was silent until something later called ``_check_fill_value``, such as ``.view()``, and then a ``TypeError`` would be raised. Now, when the copied fill_value is no longer valid for the new dtype, fall back to the default fill_value for that dtype instead of propagating the stale value. This may raise a ``ComplexWarning`` if the fill_value is complex and the new dtype is real. (`gh-32423 <https://github.com/numpy/numpy/pull/32423>`__) Signed-off-by: Richard Purdie <richard.purdie@linuxfoundation.org> --- .../python/{python3-numpy_2.5.2.bb => python3-numpy_2.5.3.bb} | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) rename meta/recipes-devtools/python/{python3-numpy_2.5.2.bb => python3-numpy_2.5.3.bb} (97%)