chore(deps): bump the python group across 2 directories with 8 updates

[dependabot]

Bumps the python group with 7 updates in the /global-images/datascience directory:

Package	From	To
pandas	2.3.3	3.0.3
numpy	2.4.0	2.5.0
scipy	1.16.3	1.18.0
scikit-learn	1.8.0	1.9.0
plotly	6.5.0	6.8.0
transformers	4.57.3	5.12.1
matplotlib	3.10.8	3.11.0

Bumps the python group with 1 update in the /scripts/init-realm directory: python-keycloak.

Updates pandas from 2.3.3 to 3.0.3

Release notes

Sourced from pandas's releases.

pandas 3.0.3

We are pleased to announce the release of pandas 3.0.3. This is a patch release in the 3.0.x series and includes some regression fixes and bug fixes. We recommend that all users of the 3.0.x series upgrade to this version.

See the full whatsnew for a list of all the changes.

Pandas 3.0 supports Python 3.11 and higher. The release can be installed from PyPI:

python -m pip install --upgrade pandas==3.0.*

Or from conda-forge

conda install -c conda-forge pandas=3.0

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

pandas 3.0.2

We are pleased to announce the release of pandas 3.0.2. This is a patch release in the 3.0.x series and includes some regression fixes and bug fixes. We recommend that all users of the 3.0.x series upgrade to this version.

See the full whatsnew for a list of all the changes.

Pandas 3.0 supports Python 3.11 and higher. The release can be installed from PyPI:

python -m pip install --upgrade pandas==3.0.*

Or from conda-forge

conda install -c conda-forge pandas=3.0

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

pandas 3.0.1

We are pleased to announce the release of pandas 3.0.1. This is a patch release in the 3.0.x series and includes some regression fixes and bug fixes. We recommend that all users of the 3.0.x series upgrade to this version.

See the full whatsnew for a list of all the changes.

Pandas 3.0.0 supports Python 3.11 and higher. The release can be installed from PyPI:

python -m pip install --upgrade pandas==3.0.*

Or from conda-forge

... (truncated)

Commits

• 72f2fea RLS: 3.0.3 (#65590)
• 2897590 Backport PR #65436 on branch 3.0.x (Account for privatization of matplotlib `...
• 49894b5 Backport PR #65499 on branch 3.0.x (BUG: fix check if pyarrow is installed in...
• 1c6d1e3 [backport 3.0.x] PERF: remove special casing for zoneinfo in tz_localize_to_u...
• 2a54711 Backport PR #64379 on branch 3.0.x (PERF: improve performance with ZoneInfo t...
• 036bb7c Backport PR #65482 on branch 3.0.x (PERF: don't call unique on dtypes for che...
• bf4c182 Backport PR #65410 on branch 3.0.x (TST: also convert str index to object in ...
• dd02d75 [backport 3.0.x] BUG: keep fsspec OpenFile alive for chained URL reads (#6547...
• aef3d0f [backport 3.0.x] CI: lowercase types-pymysql/types-pyyaml to fix mamba 2.6.0 ...
• bb8e248 Backport PR #65399 on branch 3.0.x (DOC: fix source link for classes in the r...
• Additional commits viewable in compare view

Updates numpy from 2.4.0 to 2.5.0

Release notes

Sourced from numpy's releases.

v2.5.0 (June 21, 2026)

NumPy 2.5.0 Release Notes

Numpy 2.5.0 is a transitional release. It drops support for Python 3.11, marking the end of distutils, and expires a large number of deprecations made in the 2.0.x release. It also improves free threading and brings sorting into compliance with the array-api standard with the addition of descending sorts. There is also a fair amount of preparation for Python 3.15, which will be supported starting with the first rc.

This release supports Python versions 3.12-3.14.

Highlights

• Distutils has been removed,
• Many expired deprecations, see below,
• Many new deprecations, see below,
• Many static typing improvements.
• Improved support for free threading,
• Support for descending sorts,

See New Features below for other additions.

Deprecations

• numpy.char.chararray is deprecated. Use an ndarray with a string or bytes dtype instead.

  (gh-30605)

• numpy.take now correctly checks if the result can be cast to the provided out=out under the same-kind rule. A DeprecationWarning is given now when this check fails. Previously, take incorrectly checked if out could be cast to the result (the wrong direction). This deprecation also affects compress and possibly other functions. (Future versions of NumPy may tighten the casting check further.)

  (gh-30615)

• The numpy.char.[as]array functions are deprecated. Use an numpy.[as]array with a string or bytes dtype instead.

  (gh-30802)

• Setting the dtype attribute is deprecated because mutating an array is unsafe if an array is shared, especially by multiple threads. As an alternative, you can create a view with a new dtype via array.view(dtype=new_dtype).

  (gh-29244)

... (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.

Commits

• 6910b28 Merge pull request #31706 from charris/prepare-2.5.0-release
• e0acd2b REL: Prepare for the NumPy 2.5.0 release.
• 8d928b7 Merge pull request #31704 from charris/backport-31649
• c2055ba MAINT: update openblas to 0.3.33.112.0 (#31649)
• ce17c81 Merge pull request #31703 from charris/backport-31609
• 3de6203 BUG: fix StringDType distinct-allocator bugs and add tests (#31609)
• c723971 Merge pull request #31700 from charris/backport-31694
• 64513b2 MAINT: Bump pypa/cibuildwheel from 3.4.1 to 4.1.0
• 04707f0 Merge pull request #31698 from charris/try-fix-emscripten
• 5cf0686 MAINT: Try to fix emscripten wheel build.
• Additional commits viewable in compare view

Updates scipy from 1.16.3 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 scikit-learn from 1.8.0 to 1.9.0

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.9.0

We're happy to announce the 1.9.0 release.

You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_9_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.9.html

This release adds narwhals as a new dependency that will help to improve dataframe interoperability across the project.

This version supports Python versions 3.11 to 3.14.

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds can be installed using:

conda install -c conda-forge scikit-learn

Commits

• 77def0e trigger wheel builder [cd build]
• ee7c0b0 generate changelog
• 3d7fb04 bump version
• 8954e7b DOC Release highlights for 1.9 (#34147)
• 73a3eab Fix: Array-API - avoid failing for numpy fit + predict with sparse or array-l...
• 8839aae DOC Thread-safety requirement for open_listener message consumer callback (#3...
• 4d2476a DOC Refactor array API docs page (#34054)
• f9f812f 🔒 🤖 CI Update lock files for scipy-dev CI build(s) 🔒 🤖 ...
• d779dc3 🔒 🤖 CI Update lock files for free-threaded CI build(s) 🔒 :rob...
• 6a03cf0 🔒 🤖 CI Update lock files for array-api CI build(s) 🔒 🤖 ...
• Additional commits viewable in compare view

Updates plotly from 6.5.0 to 6.8.0

Release notes

Sourced from plotly's releases.

v6.8.0

Added

• Add optional font parameter for make_subplots [#5393], with thanks to @​Zomtir for the contribution!

Fixed

• Fix issue where user-specified color_continuous_scale was ignored when template had autocolorscale=True [#5439], with thanks to @​antonymilne for the contribution!
• Use presence of COLAB_NOTEBOOK_ID env var to enable Colab renderer instead of testing import of google.colab [#5473], with thanks to @​kevineger for the contribution!
• Fix incorrect annotation placement for add_vline, add_hline, add_vrect, and add_hrect on datetime axes [#5508], with thanks to @​mosh3eb for the contribution!
• Update tests to be compatible with numpy 2.4 [#5522], with thanks to @​thunze for the contribution!
• Fix issue where js/ directory was unintentionally installed as a top-level Python package when installing plotly [#5587]
• Add default headers to be passed in to Kaleido v1.3.0 to avoid blocked Open Street Map tiles [#5588]
• Propagate the requested default_height/default_width to the outer wrapper div produced by to_html so that responsive (percentage) dimensions inherit from a sized parent container instead of collapsing to the plotly.js 450px fallback [#5591], with thanks to @​SharadhNaidu for the contribution!

Updated

• The __eq__ method for graph_objects classes now returns NotImplemented to give the other operand an opportunity to handle the comparison [#5547], with thanks to @​RazerM for the contribution!
• Update plotly.js from version 3.5.0 to version 3.6.0. See the plotly.js release notes for more information [#5608]. Notable changes include:
  • Add support for arrays for the pie property legendrank, so that it can be configured per slice [#7723]
  • Add hoversort layout attribute to sort unified hover label items by value [#7734]

v6.7.0

Added

• Add facet_row support to px.imshow for creating subplots along an additional dimension [#5445], with thanks to @​FBumann for the contribution!

Fixed

• Update numpy.percentile syntax to stop using deprecated alias [#5483], with thanks to @​Mr-Neutr0n for the contribution!
  • numpy with a version less than 1.22 is no longer supported.
• Handle empty px.histogram by skipping None label in hover template [#5535], with thanks to @​tysoncung for the contribution!

Updated

• Update plotly.js from version 3.4.0 to version 3.5.0. See the plotly.js release notes for more information. [#5565]. Notable changes include:
  • Add hoveranywhere and clickanywhere layout attributes to enable emitting hover and click events anywhere in the plot area, not just over traces [#7707]
  • Add displayNotifier configuration property to set the display of notifier in the top right area of the viewport [#7730]
  • Update USA location lookup for scattergeo and choropleth traces to use both location names and abbreviations [#7731]

v6.6.0

Fixed

• Remove unneeded type="text/javascript" attribute from <style> tag [#5454], with thanks to @​hannob for the contribution!
• Remove global warning format side effect [#5481], with thanks to @​emmanuel-ferdman for the contribution!
• Fix spurious engine deprecation warning in write_image [#5517], with thanks to @​mosh3eb for the contribution!

Updated

• Update plotly.js from version 3.3.1 to version 3.4.0. See the plotly.js release notes for more information. [#5527]. Notable changes include:
  • Add support for clicking legend titles to toggle visibility of all traces in legend [#7698]
  • Add support for shapes to reference multiple axes [#7666]
  • Add support for dashed marker lines in scatter plots [#7673]
  • Increase axis autorange when bar charts have outside text labels, to avoid labels being clipped [#7675]

Full Changelog: plotly/plotly.py@v6.5.2...v6.6.0

v6.5.2

... (truncated)

Changelog

Sourced from plotly's changelog.

[6.8.0] - 2026-06-03

Added

• Add optional font parameter for make_subplots [#5393], with thanks to @​Zomtir for the contribution!

Fixed

• Fix issue where user-specified color_continuous_scale was ignored when template had autocolorscale=True [#5439], with thanks to @​antonymilne for the contribution!
• Use presence of COLAB_NOTEBOOK_ID env var to enable Colab renderer instead of testing import of google.colab [#5473], with thanks to @​kevineger for the contribution!
• Fix incorrect annotation placement for add_vline, add_hline, add_vrect, and add_hrect on datetime axes [#5508], with thanks to @​mosh3eb for the contribution!
• Update tests to be compatible with numpy 2.4 [#5522], with thanks to @​thunze for the contribution!
• Fix issue where js/ directory was unintentionally installed as a top-level Python package when installing plotly [#5587]
• Add default headers to be passed in to Kaleido v1.3.0 to avoid blocked Open Street Map tiles [#5588]
• Propagate the requested default_height/default_width to the outer wrapper div produced by to_html so that responsive (percentage) dimensions inherit from a sized parent container instead of collapsing to the plotly.js 450px fallback [#5591], with thanks to @​SharadhNaidu for the contribution!

Updated

• The __eq__ method for graph_objects classes now returns NotImplemented to give the other operand an opportunity to handle the comparison [#5547], with thanks to @​RazerM for the contribution!
• Update plotly.js from version 3.5.0 to version 3.6.0. See the plotly.js release notes for more information [#5608]. Notable changes include:
  • Add support for arrays for the pie property legendrank, so that it can be configured per slice [#7723]
  • Add hoversort layout attribute to sort unified hover label items by value [#7734]

[6.7.0] - 2026-04-09

Added

• Add facet_row support to px.imshow for creating subplots along an additional dimension [#5445], with thanks to @​FBumann for the contribution!

Fixed

• Update numpy.percentile syntax to stop using deprecated alias [#5483], with thanks to @​Mr-Neutr0n for the contribution!
  • numpy with a version less than 1.22 is no longer supported.
• Handle empty px.histogram by skipping None label in hover template [#5535], with thanks to @​tysoncung for the contribution!

Updated

• Update plotly.js from version 3.4.0 to version 3.5.0. See the plotly.js release notes for more information. [#5565]. Notable changes include:
  • Add hoveranywhere and clickanywhere layout attributes to enable emitting hover and click events anywhere in the plot area, not just over traces [#7707]
  • Add displayNotifier configuration property to set the display of notifier in the top right area of the viewport [#7730]
  • Update USA location lookup for scattergeo and choropleth traces to use both location names and abbreviations [#7731]

[6.6.0] - 2026-03-02

Fixed

• Remove unneeded type="text/javascript" attribute from <style> tag [#5454], with thanks to @​hannob for the contribution!
• Remove global warning format side effect [#5481], with thanks to @​emmanuel-ferdman for the contribution!
• Fix spurious engine deprecation warning in write_image [#5517], with thanks to @​mosh3eb for the contribution!

Updated

• Update plotly.js from version 3.3.1 to version 3.4.0. See the plotly.js release notes for more information. [#5527]. Notable changes include:
  • Add support for clicking legend titles to toggle visibility of all traces in legend [#7698]
  • Add support for shapes to reference multiple axes [#7666]
  • Add support for dashed marker lines in scatter plots [#7673]
  • Increase axis autorange when bar charts have outside text labels, to avoid labels being clipped [#7675]

... (truncated)

Commits

• ea4eca8 Address PR feedback
• e57adbd Fix broken example
• b8c2bf4 Update Jupyter Lab extension files
• 2de1059 Update docs for release
• f94e304 Version changes for v6.8.0
• 7f2eb35 Merge pull request #5608 from plotly/cam/update-plotly.js-3.6.0
• f57cf96 Update command to run npm install for updateplotlyjs
• 1f26820 Update lock file
• 8f699a3 chore: Update plotly.js to v3.6.0
• f0755e5 Merge pull request #5605 from plotly/cam/pin-python-frontmatter
• Additional commits viewable in compare view

Updates transformers from 4.57.3 to 5.12.1

Release notes

Sourced from transformers's releases.

Patch release v5.12.1

Updated the lower bound for PEFT and a fix for auto tokenizer to properly resolve the mistral tokenizer (when mistral-common is installed). This is similar to v.5.10.3 minus the fixes that were already included in the main release - vLLM will first target 5.10.3 🤗

• Fix peft lower bound #46605 by @​hmellor (#46605)
• mistral common backend fix #46667 by @​itazap (#46667)

Full Changelog: huggingface/transformers@v5.12.0...v5.12.1

Patch release v5.10.4

Update: Note that on pypi 5.10.3 doesn't exist and this this saved under 5.10.4 (so essentially a minor version skipped). Sorry about that, that's on me. Just wanted to clarify to make this less confusing!

A few fixes needed for vLLM to sync with transformers 🤗

• [fix] regression introduced by #45534 #46456 by @​eustlb (#46456)
• Fix {image/video/audio}_token_ids in ProcessorMixin #46500 by @​hmellor (#46500)
• Fix InternVL models #46524 by @​hmellor (#46524)
• Fix the offsets in processing #46525 by @​zucchini-nlp (#46525)
• Fix peft lower bound #46605 by @​hmellor (#46605)
• mistral common backend fix #46667 by @​itazap (#46667)

Full Changelog: huggingface/transformers@v5.10.2...v5.10.3

Release v5.12.0

New Model additions

MiniMax-M3-VL

MiniMax-M3-VL is the vision-language member of the MiniMax-M3 family that pairs a CLIP-style vision tower with 3D rotary position embeddings with the MiniMax-M3 text backbone. It uses a mixed dense/sparse Mixture-of-Experts decoder with SwiGLU-OAI gated experts and a lightning indexer for block-sparse attention. The model processes images through a Conv3d patch embedding system and includes specialized components for efficient multimodal understanding and generation.

Links: Documentation

• Add minimax m3vl (#46600) by @​ArthurZucker in #46600

PP-OCRv6: update documentation and slow tests (#46576)

The official weights for PP-OCRv6 are out: PP-OCRv6 is a lightweight OCR system that combines architectural innovation with data-centric optimization. It redesigns the backbone, detection neck, and recognition neck around a unified MetaFormer-style building block with structural reparameterization. Three model tiers (medium, small, tiny) share the same block primitives, covering deployment scenarios from server to edge.

• PP-OCRv6: update documentation and slow tests (#46576) by @ zhang-prog

Add Parakeet-RNNT (#46331)

... (truncated)

Commits

• ddb849a v5.12.1
• d81db16 mistral common backend fix (#46667)
• 07c294c Fix peft lower bound (#46605)
• e0e7504 Revert "fix security issue with allow all kernels"
• 7904f30 fix security issue with allow all kernels
• d77d573 fix kernel path
• f7999c7 v5.12.0
• 4c5d4fd Add minimax m3vl (#46600)
• 5957e6f [CI] capture checkers output in OTEL (#46601)
• 2d68208 Lfm2: thread seq_idx through ShortConv for packed/varlen inputs (#46588)
• Additional commits viewable in compare view

Updates matplotlib from 3.10.8 to 3.11.0

Release notes

Sourced from matplotlib's releases.

REL: v3.11.0

The largest change within this release is a complete overhaul of text and font processing. Through the use of libraqm, HarfBuzz, SheenBidi, and an updated release of FreeType, all text should now support modern font features, enabling full internationalization in all languages. Not all features of these libraries are supported yet, but we expect this work to enable further improvements in an easier manner.

Outside of text handling, there are several improvements to 3D Axes, performance, new accessible colour sequences, flexible figure management, and more. See the release notes for more information.

REL: v3.11.0rc2

This is the second release candidate for the meso release 3.11.0.

This release candidate fixes some problems with downstream packages, removes some missed deprecations, and corrects some additional minor bugs.

REL: v3.11.0rc1

After an extended development stretch, we are pleased to announce the first release candidate of Matplotlib 3.11.0.

The largest change within this release is a complete overhaul of text and font processing. Through the use of libraqm, HarfBuzz, SheenBidi, and an updated release of FreeType, all text should now support modern font features, enabling full internationalization in all languages. Not all features of these libraries are supported yet, but we expect this work to enable further improvements in an easier manner. Due to the update to the font rendering stack, we cannot guarantee that text will be bit-for-bit perfect with previous releases, so if you are using Matplotlib for testing, it may be necessary to introduce/raise a tolerance within your tests.

Outside of text handling, there are several improvements to 3D Axes, performance, new accessible colour sequences, flexible figure management, and more. Final release notes are still being curated, but you may browse the list of new features, API changes, and all issues/pull requests on the milestone.

As a note for downstream packagers, the font libraries have only been tested against the versions bundled with the wheels. It may be possible to expand the range of requirements, or that a requirement is too broad. Please report any issues you have building against external dependencies.

v3.10.9

This is a micro release of the v3.10.x series. Highlights of this release include:

• Various minor bug and doc fixes
• Security hardening validation of cyclers - Removing eval usage
• Security hardening in Latex and PS calls - Removing shell escapes

Commits

• 69c7534 REL: v3.11.0
• b7d912b DOC: Set 3.11 as preferred stable release
• 7c3d502 Update Security Policy for 3.11
• 964e73d DOC: Prepare GitHub stats for 3.11 final
• bfa2633 Bump font manager version to final release
• d0603b2 Merge pull request #31873 from meeseeksmachine/auto-backport-of-pr-31706-on-v...
• edf5ebc Backport PR #31706: Fix clabel manual index
• c0e80b7 Merge pull request #31872 from meeseeksmachine/auto-backport-of-pr-31868-on-v...
• 2a14854 Backport PR #31868: DOC: Move errorbar examples to the statistics sections
• ea43d96 Merge pull request #31871 from meeseeksmachine/auto-backport-of-pr-31870-on-v...
• Additional commits viewable in compare view

Updates python-keycloak from 5.8.0 to 7.1.1

Changelog

Sourced from python-keycloak's changelog.

v7.1.1 (2026-02-15)

Fix

• uma: set requested resource ids correctly in permission ticket creation (#702)

v7.1.0 (2026-02-13)

Feat

• decode token with all keys, added get client certificate info method (#704)

v7.0.3 (2026-01-28)

Fix

• do not throw when processing signed userinfo response (#699)

v7.0.2 (2026-01-08)

Fix

• Fix/python version and ci (#691)

v7.0.1 (2026-01-05)

Fix

• python version

v7.0.0 (2026-01-04)

BREAKING CHANGE

• this change introduces a very strong typing across the library. From now on, we demand that each method returns a single type and converts the results into the specified return type, otherwise it raises a TypeError exception. This should resolve any type checking linter errors within the library as well.

Fix

• updated lockfile
• pass along the default connection manager configuration into uma
• dont override transport for httpx
• pass query params in get groups
• removed async property as a dependency
• strong and consistent typing across the library

v6.0.0 (2025-12-28)

BREAKING CHANGE

• changes the behavior of get_group_by_path to raise an exception in case the path is not found, which is now the definitive new behavior

... (truncated)

Commits

• de25a9c fix(uma): set requested resource ids correctly in permission ticket creation ...
• 9720e2d docs: changelog update
• 98b9b24 feat: decode token with all keys, added get client certificate info method (#...
• f5333a0 docs: changelog update
• ce07157 fix: do not throw when processing signed userinfo response (#699)
• 6580ac6 chore: updated deps
• 2f6beb3 chore(typehints): fixup typehints for role parameter for add composites (#697)
• 7e8184d chore: typehints (#696)
• 5e3ee8d docs: changelog update
• 8eca957 fix: Fix/python version and ci (#691)
• Additional commits viewable in compare view