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	2.4.6
scipy	1.16.3	1.17.1
scikit-learn	1.8.0	1.9.0
plotly	6.5.0	6.8.0
transformers	4.57.3	5.10.1
matplotlib	3.10.8	3.10.9

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 2.4.6

Release notes

Sourced from numpy's releases.

v2.4.6 (May 18, 2026)

NumPy 2.4.6 Release Notes

NumPy 2.4.6 is a quick release that fixes a regression discovered in the 2.4.5 release.

This release supports Python versions 3.11-3.14

Contributors

A total of 4 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

• !EarlMilktea
• Charles Harris
• Sebastian Berg
• Warren Weckesser

Pull requests merged

A total of 4 pull requests were merged for this release.

• #31444: MAINT: Prepare 2.4.x for further development
• #31453: BUG: Fix regression in arr.conj()
• #31459: BUG: np.linalg.svd(..., hermitian=True) returns non-unitary...
• #31460: BUG: Don't call INCREF/DECREF on descr in NpyStringAcquireAllocator...

v2.4.5 (May 15, 2026)

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 +

... (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

• b832a09 Merge pull request #31462 from charris/prepare-2.4.6
• 57cc147 REL: Prepare for the NumPy 2.4.6 release
• 0c72b0b Merge pull request #31459 from charris/backport-31347
• 9778d26 BUG: core: Don't call INCREF/DECREF on descr in NpyStringAcquireAllocator. (#...
• e0e3876 BUG: core: Don't call INCREF/DECREF on descr in NpyStringAcquireAllocator. (#...
• d1bffeb BUG: np.linalg.svd(..., hermitian=True) returns non-unitary vh (#31347)
• 8d8d7e5 Merge pull request #31453 from seberg/issue-31452
• bddaab7 BUG: Fix regression in arr.conj()
• 37a1ecc Merge pull request #31444 from charris/begin-2.4.6
• 3c0e043 MAINT: Prepare 2.4.x for further development
• Additional commits viewable in compare view

Updates scipy from 1.16.3 to 1.17.1

Release notes

Sourced from scipy's releases.

SciPy 1.17.1 Release Notes

SciPy 1.17.1 is a bug-fix release with no new features compared to 1.17.0.

Authors

• Name (commits)
• Evgeni Burovski (5)
• Lucas Colley (1)
• Christoph Gohlke (1)
• Ralf Gommers (6)
• Matt Haberland (5)
• Matthias Koeppe (1)
• Nick ODell (1)
• Ilhan Polat (10)
• Tyler Reddy (44)
• Martin Schuck (3)
• Dan Schult (3)
• stratakis (1) +
• ਗਗਨਦੀਪ ਸਿੰਘ (Gagandeep Singh) (1)

A total of 13 people contributed to this release. People with a "+" by their names contributed a patch for the first time. This list of names is automatically generated, and may not be fully complete.

Complete issue list, PR list, and release asset hashes are available in the associated README.txt.

SciPy 1.17.0 Release Notes

SciPy 1.17.0 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 1.17.x branch, and on adding new features on the main branch.

This release requires Python 3.11-3.14 and NumPy 1.26.4 or greater.

Highlights of this release

• Many SciPy functions have gained native support for batching of N-dimensional array input and additional support for the array API standard. An overall

... (truncated)

Commits

• 527eb7f REL: 1.17.1 release commit [wheel build]
• f11663b Merge pull request #24584 from tylerjereddy/treddy_prep_1.17.1
• 2c49e68 DOC: PR 24584 revisions
• 400fa15 safely convert index dtypes to intc for csgraph and superLU
• 8c70404 MAINT: PR 24584 revisions [wheel build]
• 6dda8c1 BUG: PR 24584 revisions
• 4a187e5 DOC: PR 24584 revisions
• 463ee9f ENH: linalg/inv: re-enable overwrite_a for 2D inputs (#24442)
• df746ee BUG: linalg: restore dtypes in inv, solve, det
• 246bfee MAINT:optimize: Enable multi-phase init to DIRECT
• 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 5.10.1

Release notes

Sourced from transformers's releases.

Release v5.10.1

v5.10.0 was yanked as we publish on a corrupted branch. Sorry everyone, this happens when we rush a release!!!

New Model additions

Gemma4 unified+ Gemma4 MTP

Gemma 4 12B Unified is an encoder-free multimodal model with pretrained and instruction-tuned variants. Unlike standard Gemma 4, which uses dedicated encoder towers, Gemma 4 12B Unified projects raw inputs directly into the language model's embedding space through lightweight linear pipelines. This results in a simpler architecture while maintaining strong multimodal performance.

Key differences from standard Gemma 4:

• No Vision Tower: Raw pixel patches are projected directly into LM space via a Dense + LayerNorm pipeline with factorized 2D positional embeddings, replacing the vision encoder.
• No Audio Tower: Raw 16 kHz waveform samples are chunked into fixed-length frames and projected through a simple RMSNorm → Linear pipeline, replacing the mel spectrogram + Conformer encoder.
• Shared Multimodal Pipeline: Both vision and audio use the same Gemma4UnifiedMultimodalEmbedder (RMSNorm → Linear) for the final projection to text hidden space.

You can find the original Gemma 4 12B Unified checkpoints under the Gemma 4 release.

• who needs encoders? (#46385) by @​douglas-reid @​sgerrard @​vasqu @​molbap

Sapiens2

Sapiens2 is a family of high-resolution vision transformers pretrained on ~1 billion curated human images, designed for human-centric computer vision tasks including pose estimation, body-part segmentation, surface normal estimation, and pointmap estimation. The models scale from 0.4B to 5B parameters and train at native 1K resolution, with hierarchical 4K variants for extended spatial reasoning. Sapiens2 achieves substantial improvements over its predecessor with +4 mAP in pose estimation, +24.3 mIoU in body-part segmentation, and 45.6% error reduction in normal estimation.

Links: Documentation | Paper

• Add Sapiens2 Model (#45919) by @​guarin in #45919

DeepSeek-OCR-2

DeepSeek-OCR-2 is an OCR-specialized vision-language model built on a distinctive architecture that combines a SAM ViT-B vision encoder with a Qwen2 hybrid attention encoder, connected through an MLP projector to a DeepSeek-V2 Mixture-of-Experts (MoE) language model. The model features a hybrid attention mechanism that applies bidirectional attention over image tokens and causal attention over query tokens, enabling efficient and accurate document understanding. It supports both plain OCR tasks and grounding capabilities with coordinate-aware output for document conversion to markdown format.

Links: Documentation

• Add Deepseek-OCR-2 model (#45075) by @​thisisiron in #45075

Mellum

Mellum is a code-focused Mixture-of-Experts language model developed by JetBrains. It is derived from the Qwen3-MoE architecture with per-layer-type RoPE and interleaved sliding window attention. The model has 12B total parameters with 2.5B active parameters per token, using 64 routed experts with 8 activated per token across 28 layers.

Links: Documentation

• feat: Add support for JetBrains' Mellum v2 code generation model (#46112) by @​shadeMe in #46112

Breaking changes

The Gemma4 vision pooler now casts inputs to float32 before scaling to prevent float16 overflow (inf saturation) with large checkpoints, which may cause minor numerical differences in outputs for users running Gemma-4 vision models in float16.

• 🚨 Fix float16 overflow in Gemma4 vision pooler (#46277) by @​Bluear7878

Audio Language Models (ALMs) now have a dedicated base model class without a language modeling head, aligning them with the design of Vision Language Models (VLMs); users relying on the previous model class structure should update their code to use the new base model class where appropriate.

• 🚨 [ALM] Add base model without head (#45534) by @​eustlb

... (truncated)

Commits

• 90c3ae5 Patch because we had to yank 5.10 because the release branch was not up to date
• 0bd94b3 v5.10.0
• 1423d22 who needs encoders? (#46385)
• 50eb20a Fix dsv4 dequant + tp/ep (#46378)
• 74464e8 Fix wrong changes produced by style/repo. check bot (#46371)
• 1b8ec34 Fix path traversal when saving Bark voice preset embeddings (#46237)
• e820678 Add Sapiens2 Model (#45919)
• 595721c Pass library_name/version to Hub calls via a shared HfApi (#46318)
• 0f0036c docs: update ACL Anthology URL in CITATION.cff (#46352)
• fa6c830 DeepGEMM BF16 + mixed FP8/FP4 + MegaMoE + refactor (#45634)
• Additional commits viewable in compare view

Updates matplotlib from 3.10.8 to 3.10.9

Release notes

Sourced from matplotlib's releases.

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

• dd8d78b REL: v3.10.9
• 2fb1891 REL: Release prep v3.10.9
• d0e923a Merge branch 'v3.10.8-doc' into v3.10.x
• 1637932 Merge pull request #31558 from meeseeksmachine/auto-backport-of-pr-31556-on-v...
• a83faac Backport PR #31556: FIX: Inverted PyErr_Occurred check in enum type caster (_...
• a4f57ab Merge pull request #31545 from ksunden/backport-of-pr-31282-on-v3.10.x
• 063288d Merge pull request #31544 from ksunden/backport-of-pr-31248-on-v3.10.x
• b2ed196 Backport PR #31248: SEC: Remove eval() from validate_cycler
• acc6024 Merge pull request #31282 from scottshambaugh/tex_no_shell
• e3fb541 Merge pull request #31078 from meeseeksmachine/auto-backport-of-pr-31075-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

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• @dependabot ignore <dependency name> major version will close this group update PR and stop Dependabot creating any more for the specific dependency's major version (unless you unignore this specific dependency's major version or upgrade to it yourself)
• @dependabot ignore <dependency name> minor version will close this group update PR and stop Dependabot creating any more for the specific dependency's minor version (unless you unignore this specific dependency's minor version or upgrade to it yourself)
• @dependabot ignore <dependency name> will close this group update PR and stop Dependabot creating any more for the specific dependency (unless you unignore this specific dependency or upgrade to it yourself)
• @dependabot unignore <dependency name> will remove all of the ignore conditions of the specified dependency
• @dependabot unignore <dependency name> <ignore condition> will remove the ignore condition of the specified dependency and ignore conditions