Bump numpy from 2.5.3 to 2.5.4 in /.learn_environment in the compatible-python group

[dependabot]

Bumps the compatible-python group in /.learn_environment with 1 update: numpy.

Updates numpy from 2.5.3 to 2.5.4

Release notes

Sourced from numpy's releases.

v2.5.4 (Oct 10, 2026)

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.

... (truncated)

Commits

• a3d0ef1 Merge pull request #32969 from charris/prepare-2.5.4
• 087b536 MAINT: Make OpenBLAS version check use 2.5.x branch.
• 91acd87 REL: Prepare for the NumPy 2.5.4 release.
• 9cc555b Merge pull request #32956 from charris/backport-typing-1
• e04b972 TYP: dtype[void].names: allow setting with list (#32943)
• d929969 TYP: timedelta64: datetime.timedelta construction isn't deprecated (#...
• 839467f TYP: ma.getmaskarray: accept array-likes (#32934)
• 64b721b TYP: polynomial: accept scalar coef in the poly constructors (#32931)
• 06b7ad2 TYP: void: accept any dtype: str in constructor calls (#32928)
• c7bcd2c TYP: place: widen mask (#32926)
• Additional commits viewable in compare view

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Summary by cubic

Updates numpy from 2.5.3 to 2.5.4 in the .learn_environment ingest requirements and regenerates the lockfile. This patch release fixes hangs and garbage results in numpy.linalg.svd and numpy.linalg.lstsq when inputs contain infinities, makes numpy.linalg.cond handle non-finite inputs consistently, includes typing improvements, and works around an MSVC 19.51 bug.

^{Written for commit ee43220. Summary will update on new commits.}

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