Bump the python-packages group with 5 updates

[dependabot]

Bumps the python-packages group with 5 updates:

Package	From	To
numpy	2.3.4	2.4.2
scikit-image	0.25.2	0.26.0
pyqt6	6.10.0	6.10.2
pyside6	6.10.0	6.10.1
pytest	9.0.1	9.0.2

Updates numpy from 2.3.4 to 2.4.2

Release notes

Sourced from numpy's releases.

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.

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.

• Alexander Shadchin
• Bill Tompkins +
• Charles Harris
• Joren Hammudoglu
• Marten van Kerkwijk
• Nathan Goldbaum
• Raghuveer Devulapalli
• Ralf Gommers
• Sebastian Berg

Pull requests merged

A total of 15 pull requests were merged for this release.

• #30490: MAINT: Prepare 2.4.x for further development
• #30503: DOC: numpy.select: fix default parameter docstring...
• #30504: REV: Revert part of #30164 (#30500)
• #30506: TYP: numpy.select: allow passing array-like default...
• #30507: MNT: use if constexpr for compile-time branch selection
• #30513: BUG: Fix leak in flat assignment iterator
• #30516: BUG: fix heap overflow in fixed-width string multiply (#30511)
• #30523: BUG: Ensure summed weights returned by np.average always are...
• #30527: TYP: Fix return type of histogram2d
• #30594: MAINT: avoid passing ints to random functions that take double...
• #30595: BLD: Avoiding conflict with pygit2 for static build
• #30596: MAINT: Fix msvccompiler missing error on FreeBSD
• #30608: BLD: update vendored Meson to 1.9.2
• #30620: ENH: use more fine-grained critical sections in array coercion...
• #30623: BUG: Undo result type change of quantile/percentile but keep...

2.4.0 (Dec 20, 2025)

NumPy 2.4.0 Release Notes

The NumPy 2.4.0 release continues the work to improve free threaded Python support, user dtypes implementation, and annotations. There are many expired

... (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

Updates scikit-image from 0.25.2 to 0.26.0

Release notes

Sourced from scikit-image's releases.

v0.26.0

scikit-image 0.26.0

We're happy to announce the release of scikit-image 0.26.0!

New Features

• Add new parameter max_step_cost to skimage.graph.MCP.find_costs which allows limiting the maximal stepping cost between points (#7625).
• In skimage.transform, add the identity class constructor to all geometric transforms. For example, you can now use skimage.transform.PolynomialTransform(dimensionality=2) (#7754).
• Add new property intensity_median to skimage.measure.regionprops (#7745).
• binary_blobs now supports a mode parameter for the Gaussian filter, allowing periodic boundary conditions with mode="wrap" (#7909).

API Changes

• In skimage.morphology, deprecate binary_erosion, binary_dilation, binary_opening, and binary_closing in favor of erosion, dilation, opening, and closing respectively. The binary versions weren't actually significantly faster than their non-binary counterparts and sometimes significantly slower. In the future, we might add optimizations internally to the remaining (general, non-binary) functions for when they're used with binary inputs (#7665).
• Deprecate parameter max_cost in skimage.graph.MCP.find_costs which previously did nothing. Use the new parameter max_step_cost instead (#7625).
• Deprecate parameter max_cumulative_cost in skimage.graph.MCP.find_costs which did nothing (#7625).
• In skimage.morphology.remove_small_objects, deprecate the min_size parameter in favor of the new max_size parameter to make API and behavior clearer. This new threshold removes objects smaller than or equal to its value, while the previous parameter only removed smaller ones (#7739).
• In skimage.morphology.remove_small_holes, deprecate the area_threshold parameter in favor of the new max_size parameter to make API and behavior clearer. This new threshold removes holes smaller than or equal to its value, while the previous parameter only removed smaller ones (#7739).
• In skimage.transform, deprecate the use of scalar scale, with dimensionality=3 where this can be passed to a geometric transform contructor. This allows us to generalize the use of the constructors to the case where the parameters must specify the dimensionality, unless you mean to construct an identity transform (#7754).
• In skimage.transform, turn all input parameters to transform constructors keyword-only (other than matrix). This avoids confusion due to the positional parameter order being different from the order by which they are applied in AffineTransform (#7754).
• Deprecate parameter num_threads in skimage.restoration.rolling_ball; use workers instead (#7302).
• Deprecate parameter num_workers in skimage.restoration.cycle_spin; use workers instead (#7302).
• Officially deprecate old properties in skimage.measure.regionprops and related functions. While we removed the documentation for these some time ago, they where still accessible as keys (via __get_item__) or attributes. Going forward, using deprecated keys or attributes, will emit an appropriate warning (#7778).
• In skimage.measure, add a new class method and constructor from_estimate for LineModelND, CircleModel, and EllipseModel. This replaces the old API—the now deprecated estimate method—which required initalizing a model with undefined parameters before calling estimate (#7771).
• In skimage.transform, add a new class method and constructor from_estimate for AffineTransform, EssentialMatrixTransform, EuclideanTransform, FundamentalMatrixTransform, PiecewiseAffineTransform, PolynomialTransform, ProjectiveTransform, SimilarityTransform, and ThinPlateSplineTransform. This replaces the old API—the now deprecated estimate method—which required initializing an undefined transform before calling estimate (#7771).
• Deprecate skimage.measure.fit.BaseModel; after we expire the other *Model* deprecations, there is no work for an ancestor class to do (#7789).
• In skimage.measure, deprecate .params attributes of the models CircleModel, EllipseModel, and LineModelND. Instead set model-specific attributes: origin, direction for LineModelND; center, radius for CircleModel, center, ax_lens, theta for EllipseModel (#7789).
• In skimage.measure, deprecate use of model constructor calls without arguments leaving an uninitialized instance (for example CircleModel()). This applies to CircleModel, EllipseModel, and LineModelND. Instead prefer input arguments to define instances (for example CircleModel(center, radius)). This follows on from prior deprecation of the estimate method, which had implied the need for the no-argument constructor, of form cm = CircleMoldel(); cm.estimate(data) (#7789).
• In skimage.measure, deprecate use of params arguments to predict* calls of model objects. This applies to CircleModel, EllipseModel, and LineModelND. We now ask instead that the user provide initialization equivalent to the params content in the class construction. For example, prefer cm = CircleModel((2, 3), 4); x = cm.predict_x(t) to cm = CircleMoldel(); x = cm.predict_x(t, params=(2, 3, 4))) (#7789).

Enhancements

• Raise a ValueError instead of a TypeError in CircleModel, EllipseModel, and LineModelND in skimage.measure. This applies when failing to pass a value for params (or passing params=None) to predict methods of an uninitialized transform (#7789).
• In skimage.measure, the RegionProperties class that is returned by regionprops, now has a formatted string representation (__repr__). This representation includes the label of the region and its bounding box (#7887).

Performance

• Use greedy einsum optimization in skimage.measure.moments_central (#7947).
• Add lazy loading to skimage.segmentation (#7035).

Bug Fixes

• Make deconvolution example scientifically sensible (#7589).
• In skimage.filters.sobel/scharr/prewitt/farid, when mode="constant" is used ensure that cval has an effect. It didn't previously (#7826).
• Ensure skimage.graph.cut_normalized is deterministic when seeded with the rng parameter and when SciPy 1.17.0.dev0 or newer is installed. With earlier SciPy versions the internally used function scipy.linalg.eigsh is not deterministic and can lead to different results (#7912).
• Avoid potential integer overflow in skimage.morphology.reconstruction (#7938).
• Handle negative axis lengths due to numerical errors in axis_major_length and axis_minor_length properties of skimage.measure.regionprops (#7916).
• In skimage.util.random_noise, ensure that clip argument is handled consistently for various modes (#7924).
• Apparent fix for Hough transform stray j (#7974).

... (truncated)

Commits

• ee0a7a3 Designate 0.26.0 release
• b0e3c2d Clarify RELEASE.txt after v0.26.0rc2 (#7990)
• a12ddfa Bump version in skimage init to 0.26.0rc3.dev0
• ab3bd14 Bump version in skimage init to 0.26.0rc2
• c27ac8f Designate 0.26.0rc2 release (#7987)
• 211223b Clarify non-native support for masked array in the documentation (#7968)
• b3da953 Mark test_wrap_around as xfail on macOS until 2026-02-01 (#7985)
• 2799d12 Note issue number tracking the flakiness
• 52996fd Set exception type in xfail
• dd49f1f xfail on macOS and make mark temporary until 2026-02-01
• Additional commits viewable in compare view

Updates pyqt6 from 6.10.0 to 6.10.2

Updates pyside6 from 6.10.0 to 6.10.1

Updates pytest from 9.0.1 to 9.0.2

Release notes

Sourced from pytest's releases.

9.0.2

pytest 9.0.2 (2025-12-06)

Bug fixes

• #13896: The terminal progress feature added in pytest 9.0.0 has been disabled by default, except on Windows, due to compatibility issues with some terminal emulators.

  You may enable it again by passing -p terminalprogress. We may enable it by default again once compatibility improves in the future.

  Additionally, when the environment variable TERM is dumb, the escape codes are no longer emitted, even if the plugin is enabled.

• #13904: Fixed the TOML type of the tmp_path_retention_count settings in the API reference from number to string.

• #13946: The private config.inicfg attribute was changed in a breaking manner in pytest 9.0.0. Due to its usage in the ecosystem, it is now restored to working order using a compatibility shim. It will be deprecated in pytest 9.1 and removed in pytest 10.

• #13965: Fixed quadratic-time behavior when handling unittest subtests in Python 3.10.

Improved documentation

• #4492: The API Reference now contains cross-reference-able documentation of pytest's command-line flags <command-line-flags>.

Commits

• 3d10b51 Prepare release version 9.0.2
• 188750b Merge pull request #14030 from pytest-dev/patchback/backports/9.0.x/1e4b01d1f...
• b7d7bef Merge pull request #14014 from bluetech/compat-note
• bd08e85 Merge pull request #14013 from pytest-dev/patchback/backports/9.0.x/922b60377...
• bc78386 Add CLI options reference documentation (#13930)
• 5a4e398 Fix docs typo (#14005) (#14008)
• d7ae6df Merge pull request #14006 from pytest-dev/maintenance/update-plugin-list-tmpl...
• 556f6a2 pre-commit: fix rst-lint after new release (#13999) (#14001)
• c60fbe6 Fix quadratic-time behavior when handling unittest subtests in Python 3.10 ...
• 73d9b01 Merge pull request #13995 from nicoddemus/patchback/backports/9.0.x/1b5200c0f...
• Additional commits viewable in compare view

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