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Bump the python-dependencies group across 1 directory with 5 updates#31
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dependabot/pip/python-dependencies-3037bd309b

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Updates the requirements on numpy, scipy, cvxpy, streamlit and pytest to permit the latest version.
Updates numpy to 2.5.1

Release notes

Sourced from numpy's releases.

v2.5.1 (July 4, 2026)

NumPy 2.5.1 Release Notes

The NumPy 2.5.1 is a patch release that fixes bugs discovered after the 2.5.0 release. The most noticeable is the fix is to the numpy datetime cython API which should allow downstream to support NumPy versions older than 2.5. Preparation for Python 3.15 continues along with typing improvements.

This release supports Python versions 3.12-3.14

Changes

  • The minimum supported GCC version has been updated from 9.3.0 to 10.3.0

    (gh-31843)

Contributors

A total of 10 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

  • Adhyan Gupta +
  • Ankit Ahlawat
  • Charles Harris
  • Iason Krommydas
  • Joren Hammudoglu
  • Kumar Aditya
  • Nathan Goldbaum
  • Sebastian Berg
  • Ties Jan Hefting +
  • Vineet Kumar

Pull requests merged

A total of 20 pull requests were merged for this release.

  • #31707: MAINT: Prepare 2.5.x for further development
  • #31721: CI: fix new cython-lint errors (#31711)
  • #31723: MAINT: Update meson to match main
  • #31729: TST: use setup-sde instead of curl to get SDE binaries (#31727)
  • #31829: BUG: Relax finfo to be easier accessible for all user dtypes...
  • #31831: TYP: Fix flatiter.__next__ return type for object_ and...
  • #31832: BUG: avoid deadlocks using NpyString API (#31682)
  • #31833: BUG: fix out array leak in reduceat and accumulate when dtype...
  • #31835: BUG: fix numpy datetime cython APIs to be compatible with older...
  • #31836: TYP: Fix incorrect dtype inference of asarray([]) (#31732)
  • #31837: TYP: Fix np.ma.masked_array 2.5.0 regression
  • #31838: FIX: Refactor error handling in array_setstate to prevent typecode...
  • #31839: TST: xfail multithreaded BLAS test more generously
  • #31840: MAINT: Rename subroutine for crackfortran tests

... (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.

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
  • 5e1d03f Merge pull request #31863 from charris/prepare-2.5.1
  • ad0b66b REL: Prepare for the NumPy 2.5.1 release.
  • 9df8516 Merge pull request #31858 from charris/backport-31688
  • 4dee265 Merge pull request #31857 from charris/backport-31775
  • dc8d553 Merge pull request #31856 from charris/backport-31846
  • 67cb4a8 fix:Signed integer overflow in datetime.c (#31688)
  • baa2589 TST: Clean up imports, formatting, and assertions
  • 2fe5ba4 TEST: Refactor tests to use np.testing.assert_raises_regex per review
  • bb46581 MAINT: Remove deprecated Python recursion fix
  • 8f34214 MAINT: Move SeedSequence recursion guard to C-layer and add tests
  • Additional commits viewable in compare view

Updates scipy to 1.18.0

Release notes

Sourced from scipy's releases.

SciPy 1.18.0 Release Notes

SciPy 1.18.0 is the culmination of 6 months of hard work. It contains many new features, numerous bug-fixes, improved test coverage and better documentation. There have been a number of deprecations and API changes in this release, which are documented below. All users are encouraged to upgrade to this release, as there are a large number of bug-fixes and optimizations. Before upgrading, we recommend that users check that their own code does not use deprecated SciPy functionality (to do so, run your code with python -Wd and check for DeprecationWarning s). Our development attention will now shift to bug-fix releases on the 1.18.x branch, and on adding new features on the main branch.

This release requires Python 3.12-3.14 and NumPy 2.0.0 or greater.

Highlights of this release

  • SciPy now supports three different build modes for BLAS and LAPACK LP64/ILP64 support, and machinery is provided for downstream cython_lapack consumers to gracefully handle LP64/ILP64 backend builds. ILP64 support has been substantially improved across the SciPy library.
  • Remaining Fortran to C translations have been completed---an experimental Fortran-free build option is now available to developers for testing purposes. Developer feedback is welcome on Fortran-free builds.
  • scipy.signal.whittaker_henderson now provides access to Whittaker-Henderson smoothing of a discrete signal.
  • A large number of scipy.stats functions now support lazy arrays and JAX JIT. Array API support has been improved substantially in SciPy, with at least 21 functions gaining new support in this release. 16 scipy.stats functions have also gained support for MArray input.

New features

scipy.fft improvements

  • SciPy's internal FFT backend has switched from pocketfft to its successor package ducc0.fft, which features several incremental improvements. The most significant of those from SciPy's perspective is probably that storage requirements for internally cached plans have been significantly reduced for most long 1D transforms. Plans that require more storage than 1MB will no longer be cached; this mainly affects huge 1D transforms of prime and near-prime sizes.

scipy.interpolate improvements

... (truncated)

Commits
  • 54ef542 REL: 1.18.0 release commit
  • a45e463 Merge pull request #25395 from tylerjereddy/treddy_prep_1.18.0_final
  • ee2442e TYP, MAINT, TST: PR 25395 revisions
  • 3225154 DOC: PR 25395 revisions
  • 14c7bd7 TYP: Fix mypy errors with pytest==9.1.0 (#25410)
  • 71522e9 DOC: revise SciPy 1.18.0 release notes
  • 92f8482 MAINT: fix errors from pytest 9.1 (#25378)
  • 7b27bf4 TST, MAINT: modernize spatial tests for pytest 10 (#25376)
  • d05b640 Merge pull request #25347 from tylerjereddy/treddy_version_bump_1.18.0rc3
  • e60fe8b REL: set to 1.18.0rc3 unreleased
  • Additional commits viewable in compare view

Updates cvxpy to 1.9.2

Commits
  • 7cb26d3 Release v1.9.2
  • bcad203 Patch/1.9.2
  • fac9f6f CI: install Moreau from PyPI instead of private Fury index
  • a89e5cf Fix N-D parametric matmul in the COO and SCIPY canonicalization backends (#3401)
  • c6ac6c7 Add missing numpy_numeric decorator to entr.numeric (#3379)
  • 6ba794a Fix scrambled ExpCone duals for matrix-shaped arguments (#3377)
  • eeddbb7 fix cone head lb (#3364)
  • 20ae79d Dedup identical subtrees in Dcp2Cone canonicalization (#3355)
  • eeb13c3 Updates to the wishlist (#3421)
  • 951e8b8 Fix factor-2 error in Hermitian PSD constraint dual recovery (#3388)
  • Additional commits viewable in compare view

Updates streamlit to 1.59.0

Release notes

Sourced from streamlit's releases.

1.59.0

What's Changed

Breaking Changes 🛠

New Features 🎉

Bug Fixes 🐛

... (truncated)

Commits

Updates pytest to 9.1.1

Release notes

Sourced from pytest's releases.

9.1.1

pytest 9.1.1 (2026-06-19)

Bug fixes

  • #14220: Fixed a logic bug in pytest.RaisesGroup which would might cause it to display incorrect "It matches FooError() which was paired with BarError" messages.
  • #14591: Fixed a regression in pytest 9.1.0 which caused overriding a parametrized fixture with an indirect @​pytest.mark.parametrize to fail with "duplicate parametrization of '<fixture name>'".
  • #14606: Fixed list-item typing errors from mypy in @pytest.mark.parametrize <pytest.mark.parametrize ref> argvalues parameter.
  • #14608: Fixed a regression in pytest 9.1.0 where conftest.py files located in <invocation dir>/test* were no longer loaded as initial conftests when invoked without arguments. This could cause certain hooks (like pytest_addoption) in these files to not fire.
Commits
  • cf470ec Prepare release version 9.1.1
  • e0c8ce6 Merge pull request #14625 from pytest-dev/patchback/backports/9.1.x/a07c31a97...
  • 1b82d16 Merge pull request #14624 from pytest-dev/patchback/backports/9.1.x/b375b79ec...
  • 501c4bc Merge pull request #14596 from bluetech/doc-classmethod
  • b61f588 Merge pull request #14622 from chrisburr/fix-14608-initial-conftest-test-subdir
  • 9a567e0 [automated] Update plugin list (#14617) (#14618)
  • ef8b299 Merge pull request #14620 from pytest-dev/patchback/backports/9.1.x/680f9f3ed...
  • 66abd07 Merge pull request #14220 from bysiber/fix-stale-iexp-raisesgroup
  • 79fbf93 Merge pull request #14612 from pytest-dev/patchback/backports/9.1.x/974ed48b6...
  • 0d312eb Merge pull request #14611 from bluetech/parametrize-argvalues-typing
  • Additional commits viewable in compare view

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@dependabot
Bump the python-dependencies group across 1 directory with 5 updates
7cc09b2 
Updates the requirements on [numpy](https://github.com/numpy/numpy), [scipy](https://github.com/scipy/scipy), [cvxpy](https://github.com/cvxpy/cvxpy), [streamlit](https://github.com/streamlit/streamlit) and [pytest](https://github.com/pytest-dev/pytest) to permit the latest version.

Updates `numpy` to 2.5.1
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v2.4.6...v2.5.1)

Updates `scipy` to 1.18.0
- [Release notes](https://github.com/scipy/scipy/releases)
- [Commits](scipy/scipy@v1.17.1...v1.18.0)

Updates `cvxpy` to 1.9.2
- [Release notes](https://github.com/cvxpy/cvxpy/releases)
- [Commits](cvxpy/cvxpy@v1.9.1...v1.9.2)

Updates `streamlit` to 1.59.0
- [Release notes](https://github.com/streamlit/streamlit/releases)
- [Commits](streamlit/streamlit@1.58.0...1.59.0)

Updates `pytest` to 9.1.1
- [Release notes](https://github.com/pytest-dev/pytest/releases)
- [Changelog](https://github.com/pytest-dev/pytest/blob/main/CHANGELOG.rst)
- [Commits](pytest-dev/pytest@9.1.0...9.1.1)

---
updated-dependencies:
- dependency-name: numpy
  dependency-version: 2.5.1
  dependency-type: direct:production
  dependency-group: python-dependencies
- dependency-name: scipy
  dependency-version: 1.18.0
  dependency-type: direct:production
  dependency-group: python-dependencies
- dependency-name: cvxpy
  dependency-version: 1.9.2
  dependency-type: direct:production
  dependency-group: python-dependencies
- dependency-name: streamlit
  dependency-version: 1.59.0
  dependency-type: direct:production
  dependency-group: python-dependencies
- dependency-name: pytest
  dependency-version: 9.1.1
  dependency-type: direct:production
  dependency-group: python-dependencies
...

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 Jul 7, 2026
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dependabot Bot commented on behalf of github Jul 14, 2026

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Looks like these dependencies are updatable in another way, so this is no longer needed.

@dependabot dependabot Bot closed this Jul 14, 2026
@dependabot
dependabot Bot deleted the dependabot/pip/python-dependencies-3037bd309b branch July 14, 2026 06:07
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