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chore(deps): bump numpy from 2.2.6 to 2.4.2#9

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Bumps numpy from 2.2.6 to 2.4.2.

Release notes

Sourced from numpy's releases.

2.4.2 (Feb 1, 2026)

NumPy 2.4.2 Release Notes

The NumPy 2.4.2 is a patch release that fixes bugs discovered after the 2.4.1 release. Highlights are:

  • Fixes memory leaks
  • Updates OpenBLAS to fix hangs

This release supports Python versions 3.11-3.14

Contributors

A total of 9 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

  • Charles Harris
  • Daniel Tang +
  • Joren Hammudoglu
  • Kumar Aditya
  • Matti Picus
  • Nathan Goldbaum
  • Ralf Gommers
  • Sebastian Berg
  • Vikram Kumar +

Pull requests merged

A total of 12 pull requests were merged for this release.

  • #30629: MAINT: Prepare 2.4.x for further development
  • #30636: TYP: arange: accept datetime strings
  • #30657: MAINT: avoid possible race condition by not touching os.environ...
  • #30700: BUG: validate contraction axes in tensordot (#30521)
  • #30701: DOC: __array_namespace__info__: set_module not __module__ (#30679)
  • #30702: BUG: fix free-threaded PyObject layout in replace_scalar_type_names...
  • #30703: TST: fix limited API example in tests for latest Cython
  • #30709: BUG: Fix some bugs found via valgrind (#30680)
  • #30712: MAINT: replace ob_type access with Py_TYPE in PyArray_CheckExact
  • #30713: BUG: Fixup the quantile promotion fixup
  • #30736: BUG: fix thread safety of array_getbuffer (#30667)
  • #30737: backport scipy-openblas version change

2.4.1 (Jan 10, 2026)

NumPy 2.4.1 Release Notes

The NumPy 2.4.1 is a patch release that fixes bugs discoved after the 2.4.0 release. In particular, the typo SeedlessSequence is preserved to enable wheels using the random Cython API and built against NumPy < 2.4.0 to run without errors.

... (truncated)

Changelog

Sourced from numpy's changelog.

This is a walkthrough of the NumPy 2.4.0 release on Linux, which will be the first feature release using the numpy/numpy-release <https://github.com/numpy/numpy-release>__ repository.

The commands can be copied into the command line, but be sure to replace 2.4.0 with the correct version. This should be read together with the :ref:general release guide <prepare_release>.

Facility preparation

Before beginning to make a release, use the requirements/*_requirements.txt files to ensure that you have the needed software. Most software can be installed with pip, but some will require apt-get, dnf, or whatever your system uses for software. You will also need a GitHub personal access token (PAT) to push the documentation. There are a few ways to streamline things:

  • Git can be set up to use a keyring to store your GitHub personal access token. Search online for the details.
  • You can use the keyring app to store the PyPI password for twine. See the online twine documentation for details.

Prior to release

Add/drop Python versions

When adding or dropping Python versions, multiple config and CI files need to be edited in addition to changing the minimum version in pyproject.toml. Make these changes in an ordinary PR against main and backport if necessary. We currently release wheels for new Python versions after the first Python RC once manylinux and cibuildwheel support that new Python version.

Backport pull requests

Changes that have been marked for this release must be backported to the maintenance/2.4.x branch.

Update 2.4.0 milestones

Look at the issues/prs with 2.4.0 milestones and either push them off to a later version, or maybe remove the milestone. You may need to add a milestone.

Check the numpy-release repo

... (truncated)

Commits
  • c81c49f Merge pull request #30757 from charris/prepare-2.4.2
  • b3ae9c5 REL: Prepare for the NumPy 2.4.2 release
  • 9de8984 Merge pull request #30737 from mattip/scipy-openblas-backport
  • b7be329 backport scipy-openblas version change
  • 7ff9863 Merge pull request #30736 from charris/backport-30667
  • 431fffb MAINT: Skip tests that require buffer.
  • 127235f BUG: fix thread safety of array_getbuffer (#30667)
  • 18bdb2e Merge pull request #30713 from charris/backport-30710
  • 41dd751 Merge pull request #30712 from charris/backport-30705
  • 7a278da BUG: Fixup the quantile promotion fixup
  • Additional commits viewable in compare view

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@dependabot
chore(deps): bump numpy from 2.2.6 to 2.4.2
7ef0b10 
Bumps [numpy](https://github.com/numpy/numpy) from 2.2.6 to 2.4.2.
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v2.2.6...v2.4.2)

---
updated-dependencies:
- dependency-name: numpy
  dependency-version: 2.4.2
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Feb 20, 2026
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🎯 APEX Performance Report [SYNTHETIC DATA]

⚠️ This report uses mock data (dry-run mode)

Real pipeline integration tracked in docs/apex/phase2/REAL_PIPELINE_INTEGRATION.md

✅ APEX Performance Verdict: PASS

Run ID: 22232428037-1 | Commit: c718a439

V1 Gate: PASSED ✅
V2 Gate: PASSED ✅ (mode: shadow)

V1 vs V2 Comparison

Bucket V1 p95 V2 p95 Delta Status
generic_large 10.00s 10.00s +0.0% ⚠️ Similar
unknown 10.00s 10.00s +0.0% ⚠️ Similar

V1 Workflow Performance

Bucket Count p50 p95 Threshold p95 Status
generic_large 1 10.00s 10.00s 15.00s ✅
unknown 1 10.00s 10.00s 120.00s ✅

V2 Workflow Performance

Bucket Count p50 p95 Threshold p95 Status
generic_large 1 10.00s 10.00s 15.00s ✅
unknown 1 10.00s 10.00s 120.00s ✅
📊 V1 Zone × Bucket Heatmap
Bucket local Global
generic_large ✅ —
unknown ✅ —
📊 V2 Zone × Bucket Heatmap
Bucket local Global
generic_large ✅ —
unknown ✅ —

Generated by APEX PR Comment Generator v1.0.0

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