[Infra] Update dependency numpy to ~=2.5.0

[renovate]

This PR contains the following updates:

Package	Change	Age	Confidence
numpy (changelog)	~=2.2.6 → ~=2.5.0
numpy (changelog)	~=2.4.4 → ~=2.5.0

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Release Notes

numpy/numpy (numpy)

v2.5.0

Compare Source

v2.4.6

Compare Source

v2.4.5: (May 15, 2026)

Compare Source

NumPy 2.4.5 Release Notes

NumPy 2.4.5 is a patch release that fixes bugs discovered after the 2.4.4
release, has some typing improvements, and maintains infrastructure.

This release supports Python versions 3.11-3.14

Contributors

A total of 17 people contributed to this release. People with a "+" by their
names contributed a patch for the first time.

• Aleksei Nikiforov
• Anarion Zuo +
• Ankit Ahlawat
• Breno Favaretto +
• Charles Harris
• Igor Krivenko +
• Ijtihed Kilani +
• Joren Hammudoglu
• Maarten Baert +
• Matti Picus
• Nathan Goldbaum
• Praneeth Kodumagulla +
• Ralf Gommers
• RoomWithOutRoof +
• Sebastian Berg
• Warren Weckesser
• div +

Pull requests merged

A total of 28 pull requests were merged for this release.

• #​31093: MAINT: Prepare 2.4.x for further development
• #​31182: TYP: fix np.shape assignability issue for python lists (#​31171)
• #​31197: ENH: Return rank 0 for empty matrices in matrix_rank (#​30422)
• #​31198: CI/BUG: add native jobs for s390x, fix bug in pack_inner...
• #​31199: BUG: f2py map complex_long_double to NPY_CLONGDOUBLE
• #​31205: MAINT: f2py: Stop setting re._MAXCACHE to 50.
• #​31206: BUG: fix heap buffer overflow in timedelta to string casts
• #​31207: MAINT: Rename ppc64le and s390x workflow (#​31121)
• #​31208: BUG: Fix matvec/vecmat in-place aliasing (out=input produces...
• #​31209: TYP: tile: accept numpy scalars and arrays as second argument...
• #​31211: DEP: Undo deprecation for np.dtype() signature used by old pickles...
• #​31212: REV: Manual revert of float16 svml use (#​31178)
• #​31222: TYP: ix_ fix for boolean and non-1d input (#​31218)
• #​31329: BUG: incorrect temp elision for new-style (NEP 43) user-defined...
• #​31330: TYP: fix sliding_window_view axis parameter typing
• #​31335: BUG: Prevent deadlock due to downstream importing NumPy in dlopen...
• #​31336: BUG: Fix segfault in nditer.multi_index when __getitem__ raises...
• #​31338: TYP: Fix ruff lint error
• #​31357: BUG: fix memory leak in np.zeros when fill-zero loop raises (#​31320)
• #​31358: BUG: np.einsum() fails with a 0-dimensional out argument and...
• #​31379: BUG: Fix signed overflow issue in npy_gcd for INT_MIN on s390x...
• #​31383: CI: remove Cirrus CI FreeBSD job (#​31380)
• #​31390: BUILD: newer MKL uses so.3
• #​31391: BLD/MAINT: improve support for Intel LLVM compilers
• #​31401: BUG: Avoid UB in safe[add,sub,mul] helpers (#​31396)
• #​31402: BUG: exclude __pycache__ directories from wheels (#​31397)
• #​31404: TYP: _NestedSequence type parameter default to work around...
• #​31426: TYP: Fix DTypeLike runtime type-checker support (#​31425)

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⚠️ Artifact update problem

Renovate failed to update an artifact related to this branch. You probably do not want to merge this PR as-is.

♻ Renovate will retry this branch, including artifacts, only when one of the following happens:

• any of the package files in this branch needs updating, or
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The artifact failure details are included below:

File name: uv.lock

Command failed: uv lock --upgrade-package numpy --upgrade-package numpy
Using CPython 3.12.3 interpreter at: /usr/bin/python3.12
  × No solution found when resolving dependencies for split (markers:
  │ python_full_version == '3.11.*'):
  ╰─▶ Because only numpy{python_full_version >= '3.11'}<=2.5.0 is available
      and the requested Python version (>=3.10.12, !=3.11.0, !=3.11.1,
      !=3.11.2, !=3.11.3, <3.15) does not satisfy Python>=3.12, we can
      conclude that numpy{python_full_version >= '3.11'}>=2.5.0 cannot be
      used.
      And because your project depends on numpy{python_full_version >=
      '3.11'}>=2.5.0, we can conclude that your project's requirements are
      unsatisfiable.

hint: While the active Python version is 3.12, the resolution failed for other Python versions supported by your project. Consider limiting your project's supported Python versions using `requires-python`.