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Bumps the prod group with 11 updates in the / directory:

Package From To
scikit-learn 1.6.1 1.7.0
xgboost 3.0.0 3.0.2
numpy 1.23.5 2.2.6
pandas 1.5.3 2.3.0
azure-identity 1.17.1 1.23.0
dill 0.3.9 0.4.0
pillow 10.4.0 11.2.1
psutil 6.1.0 7.0.0
rich 13.9.2 14.0.0
scipy 1.14.1 1.15.3
tqdm 4.66.5 4.67.1

Updates scikit-learn from 1.6.1 to 1.7.0

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.7.0

We're happy to announce the 1.7.0 release.

You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_7_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.7.html

This version supports Python versions 3.10 to 3.13 and features an experimental support of free-threaded CPython.

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

Updates xgboost from 3.0.0 to 3.0.2

Release notes

Sourced from xgboost's releases.

3.0.2 Patch Release

What's Changed

Additional artifacts:

You can verify the downloaded packages by running the following command on your Unix shell:

echo "<hash> <artifact>" | shasum -a 256 --check
8f909899f5dc64d4173662a3efa307100713e3c2e2b831177c2e56af0e816caf  xgboost-src-3.0.2.tar.gz
c169cb92fe378d99f1938da5d2830da1cef731129701db480b03dbbd04333ae2  xgboost_r_gpu_linux.tar.gz

Experimental binary packages for R with CUDA enabled

  • xgboost_r_gpu_linux_3.0.2.tar.gz: Download

Source tarball

3.0.1 Patch Release

  • Use nvidia-smi to detect the driver version and handle old drivers that don't support virtual memory. (#11391)
  • Optimize deep trees for GPU external memory. (#11387)
  • Small fix for page concatenation with external memory (#11338)
  • Build xgboost-cpu for manylinux_2_28_x86_64 (#11406)
  • Workaround for different Dask versions (#11436)
  • Output models now use denormal floating-point instead of nan. (#11428)
  • Fix aarch64 CI. (#11454)

Additional artifacts:

You can verify the downloaded packages by running the following command on your Unix shell:

echo "<hash> <artifact>" | shasum -a 256 --check
46e6815fd24dec7e17ed6e9327cc062da098387ee36358e3e0a43fc43939a8b1  xgboost-src-3.0.1.tar.gz
c00bc34a070d25557b06ccb684b4dff44a0f578cbe84442957742f3aba4f0c32  xgboost_r_gpu_linux.tar.gz

Experimental binary packages for R with CUDA enabled

  • xgboost_r_gpu_linux_3.0.1.tar.gz: Download

Source tarball

... (truncated)

Commits

Updates numpy from 1.23.5 to 2.2.6

Release notes

Sourced from numpy's releases.

v2.2.6 (May 17, 2025)

NumPy 2.2.6 Release Notes

NumPy 2.2.6 is a patch release that fixes bugs found after the 2.2.5 release. It is a mix of typing fixes/improvements as well as the normal bug fixes and some CI maintenance.

This release supports Python versions 3.10-3.13.

Contributors

A total of 8 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

  • Charles Harris
  • Ilhan Polat
  • Joren Hammudoglu
  • Marco Gorelli +
  • Matti Picus
  • Nathan Goldbaum
  • Peter Hawkins
  • Sayed Adel

Pull requests merged

A total of 11 pull requests were merged for this release.

  • #28778: MAINT: Prepare 2.2.x for further development
  • #28851: BLD: Update vendor-meson to fix module_feature conflicts arguments...
  • #28852: BUG: fix heap buffer overflow in np.strings.find
  • #28853: TYP: fix NDArray[floating] + float return type
  • #28864: BUG: fix stringdtype singleton thread safety
  • #28865: MAINT: use OpenBLAS 0.3.29
  • #28889: MAINT: from_dlpack thread safety fixes
  • #28913: TYP: Fix non-existent CanIndex annotation in ndarray.setfield
  • #28915: MAINT: Avoid dereferencing/strict aliasing warnings
  • #28916: BUG: Fix missing check for PyErr_Occurred() in _pyarray_correlate.
  • #28966: TYP: reject complex scalar types in ndarray.__ifloordiv__

Checksums

MD5

259343f056061f6eadb2f4b8999d06d4  numpy-2.2.6-cp310-cp310-macosx_10_9_x86_64.whl
16fa85488e149489ce7ee044d7b0d307  numpy-2.2.6-cp310-cp310-macosx_11_0_arm64.whl
f01b7aea9d2b76b1eeb49766e615d689  numpy-2.2.6-cp310-cp310-macosx_14_0_arm64.whl
f2ddc2b22517f6e31caa1372b12c2499  numpy-2.2.6-cp310-cp310-macosx_14_0_x86_64.whl
52190e22869884f0870eb3df7a283ca9  numpy-2.2.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
8f382b9ca6770db600edd5ea2447a925  numpy-2.2.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
e604aae2ef6e01fb92ecc39aca0424d9  numpy-2.2.6-cp310-cp310-musllinux_1_2_aarch64.whl

... (truncated)

Changelog

Sourced from numpy's changelog.

This is a walkthrough of the NumPy 2.1.0 release on Linux, modified for building with GitHub Actions and cibuildwheels and uploading to the anaconda.org staging repository for NumPy <https://anaconda.org/multibuild-wheels-staging/numpy>_. The commands can be copied into the command line, but be sure to replace 2.1.0 by 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, three files need to be edited:

  • .github/workflows/wheels.yml # for github cibuildwheel
  • tools/ci/cirrus_wheels.yml # for cibuildwheel aarch64/arm64 builds
  • pyproject.toml # for classifier and minimum version check.

Make these changes in an ordinary PR against main and backport if necessary. Add [wheel build] at the end of the title line of the commit summary so that wheel builds will be run to test the changes. We currently release wheels for new Python versions after the first Python rc once manylinux and cibuildwheel support it. For Python 3.11 we were able to release within a week of the rc1 announcement.

Backport pull requests

Changes that have been marked for this release must be backported to the maintenance/2.1.x branch.

Update 2.1.0 milestones

... (truncated)

Commits
  • 2b686f6 Merge pull request #28980 from charris/prepare-2.2.6
  • ed41828 REL: Prepare for the NumPy 2.2.6 release [wheel build]
  • 83e4e7f Merge pull request #28966 from charris/backport-28958
  • 248f0cb TYP: add rejection-tests for complex ndarray floordiv
  • 5bad9da TYP: reject complex scalar types in ndarray.__ifloordiv__
  • 6c42775 Merge pull request #28915 from charris/backport-28892
  • 4277e7c Merge pull request #28916 from charris/backport-28898
  • bd1c863 BUG: Fix missing check for PyErr_Occurred() in _pyarray_correlate. (#28898)
  • 87d1d8a MAINT: Avoid dereferencing/strict aliasing warnings during complex casts in `...
  • 9e50659 Merge pull request #28913 from charris/backport-28908
  • Additional commits viewable in compare view

Updates pandas from 1.5.3 to 2.3.0

Release notes

Sourced from pandas's releases.

Pandas 2.3.0

We are pleased to announce the release of pandas 2.3.0. This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes. Pandas 2.3.0 supports Python 3.10 and higher.

The release will be available on the defaults and conda-forge channels:

conda install -c conda-forge pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

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

Thanks to all the contributors who made this release possible.

Pandas 2.2.3

We are pleased to announce the release of pandas 2.2.3. This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes. Pandas 2.2.3 supports Python 3.9 and higher.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

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

Thanks to all the contributors who made this release possible.

Pandas 2.2.2

We are pleased to announce the release of pandas 2.2.2. This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes. Pandas 2.2.2 supports Python 3.9 and higher.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

... (truncated)

Commits

Updates azure-identity from 1.17.1 to 1.23.0

Release notes

Sourced from azure-identity's releases.

azure-identity_1.23.0

1.23.0 (2025-05-13)

Features Added

  • Added AZURE_TOKEN_CREDENTIALS environment variable to DefaultAzureCredential to allow for choosing groups of credentials.
    • prod for EnvironmentCredential, WorkloadIdentityCredential, and ManagedIdentityCredential.
    • dev for SharedTokenCacheCredential, AzureCliCredential, AzurePowershellCredential, and AzureDeveloperCliCredential.

azure-identity_1.22.0

1.22.0 (2025-05-06)

Breaking Changes

  • Previously, if a client_id or identity_config was specified in ManagedIdentityCredential for Service Fabric managed identity, which is not supported, the client_id (or resource_id/object_id specified identity_config) would be silently ignored. Now, an exception will be raised during a token request if a client_id or identity_config is specified for Service Fabric managed identity.

Bugs Fixed

  • Fixed an issue with error handling in MSAL-based credentials when the response content is a string rather than a dictionary. (#40281)

Other Changes

  • Deprecated VisualStudioCodeCredential as the VS Code Azure Account extension on which this credential depends on has been deprecated. See the Azure Account extension deprecation notice. (#40613)
  • Python 3.8 is no longer supported. Please use Python version 3.9 or later.
Commits

Updates dill from 0.3.9 to 0.4.0

Commits

Updates pillow from 10.4.0 to 11.2.1

Release notes

Sourced from pillow's releases.

11.2.1

https://pillow.readthedocs.io/en/stable/releasenotes/11.2.1.html

Deprecations

Documentation

Dependencies

... (truncated)

Changelog

Sourced from pillow's changelog.

Changelog (Pillow)

11.1.0 and newer

See GitHub Releases:

11.0.0 (2024-10-15)

  • Update licence to MIT-CMU #8460 [hugovk]

  • Conditionally define ImageCms type hint to avoid requiring core #8197 [radarhere]

  • Support writing LONG8 offsets in AppendingTiffWriter #8417 [radarhere]

  • Use ImageFile.MAXBLOCK when saving TIFF images #8461 [radarhere]

  • Do not close provided file handles with libtiff when saving #8458 [radarhere]

  • Support ImageFilter.BuiltinFilter for I;16* images #8438 [radarhere]

  • Use ImagingCore.ptr instead of ImagingCore.id #8341 [homm, radarhere, hugovk]

  • Updated EPS mode when opening images without transparency #8281 [Yay295, radarhere]

  • Use transparency when combining P frames from APNGs #8443 [radarhere]

  • Support all resampling filters when resizing I;16* images #8422 [radarhere]

  • Free memory on early return #8413 [radarhere]

  • Cast int before potentially exceeding INT_MAX #8402 [radarhere]

... (truncated)

Commits

Updates psutil from 6.1.0 to 7.0.0

Changelog

Sourced from psutil's changelog.

7.0.0

2025-02-13

Enhancements

  • 669_, [Windows]: net_if_addrs()_ also returns the broadcast address instead of None.
  • 2480_: Python 2.7 is no longer supported. Latest version supporting Python 2.7 is psutil 6.1.X. Install it with: pip2 install psutil==6.1.*.
  • 2490_: removed long deprecated Process.memory_info_ex() method. It was deprecated in psutil 4.0.0, released 8 years ago. Substitute is Process.memory_full_info().

Bug fixes

  • 2496_, [Linux]: Avoid segfault (a cPython bug) on Process.memory_maps() for processes that use hundreds of GBs of memory.
  • 2502_, [macOS]: virtual_memory()_ now relies on host_statistics64 instead of host_statistics. This is the same approach used by vm_stat CLI tool, and should grant more accurate results.

Compatibility notes

  • 2480_: Python 2.7 is no longer supported.
  • 2490_: removed long deprecated Process.memory_info_ex() method.

6.1.1

2024-12-19

Enhancements

  • 2471_: use Vulture CLI tool to detect dead code.

Bug fixes

  • 2418_, [Linux]: fix race condition in case /proc/PID/stat does not exist, but /proc/PID does, resulting in FileNotFoundError.
  • 2470_, [Linux]: users()_ may return "localhost" instead of the actual IP address of the user logged in.
Commits
  • ea5b556 pre-release
  • d6e28b7 try to fix tests
  • 104bb32 test cpu_times() for process children
  • 16c091b test cpu_times() for process children
  • eee09da [OSX] proc.c: Fix goo.gl link in comment for source reference (#2505)
  • 17e2780 ci: build aarch64 wheel on GHA aarch64 runner (#2503)
  • 1ba8667 pin black version to 24.X, because new 25.X breaks style
  • 9c114a5 [OSX] use host_statistics64 to get memory metrics (#2502)
  • 08d7d43 pin black version to 24.X, because new 25.X breaks style
  • a509e5a 669 windows broadcast addr (#2501)
  • Additional commits viewable in compare view

Updates rich from 13.9.2 to 14.0.0

Release notes

Sourced from rich's releases.

The ENVy of all other releases

Mostly updates to Traceback rendering, to add support for features introduced in Python3.11

We also have a new env var that I am proposing to become a standard. TTY_COMPATIBLE=1 tells Rich to write ansi-escape sequences even if it detects it is not writing to a terminal. This is intended for use with GitHub Actions / CI, which can interpret escape sequences, but aren't a terminal.

There is also a change to how NO_COLOR and FORCE_COLOR are interpreted, which is the reason for the major version bump.

[14.0.0] - 2025-03-30

Added

  • Added env var TTY_COMPATIBLE to override auto-detection of TTY support (See console.rst for details). Textualize/rich#3675

Changed

The Faster is Faster release

[13.9.4] - 2024-11-01

Changed

The irregular expression release

Fix a broken regex that resulted in the slow path being chosen for some operations. This fix should result in notable speedups for some operations, such as wrapping text.

[13.9.3] - 2024-10-22

Fixed

Changelog

Sourced from rich's changelog.

[14.0.0] - 2025-03-30

Added

  • Added env var TTY_COMPATIBLE to override auto-detection of TTY support (See console.rst for details). Textualize/rich#3675

Changed

[13.9.4] - 2024-11-01

Changed

[13.9.3] - 2024-10-22

Fixed

Commits

Updates scipy from 1.14.1 to 1.15.3

Release notes

Sourced from scipy's releases.

SciPy 1.15.3 Release Notes

SciPy 1.15.3 is a bug-fix release with no new features compared to 1.15.2.

For the complete issue and PR lists see the raw release notes.

Authors

  • Name (commits)
  • aiudirog (1) +
  • Nickolai Belakovski (1)
  • Florian Bourgey (1) +
  • Richard Strong Bowen (2) +
  • Jake Bowhay (1)
  • Dietrich Brunn (2)
  • Evgeni Burovski (1)
  • Lucas Colley (1)
  • Ralf Gommers (1)
  • Saarthak Gupta (1) +
  • Matt Haberland (4)
  • Chengyu Han (1) +
  • Lukas Huber (1) +
  • Nick ODell (2)
  • Ilhan Polat (4)
  • Tyler Reddy (52)
  • Neil Schemenauer (1) +
  • Dan Schult (1)
  • sildater (1) +
  • Gagandeep Singh (4)
  • Albert Steppi (2)
  • Matthias Urlichs (1) +
  • David Varela (1) +
  • ਗਗਨਦੀਪ ਸਿੰਘ (Gagandeep Singh) (3)

A total of 24 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.

SciPy 1.15.2 Release Notes

SciPy 1.15.2 is a bug-fix release with no new features compared to 1.15.1. Free-threaded Python 3.13 wheels for Linux ARM platform are available on PyPI starting with this release.

Authors

... (truncated)

Commits
  • e29dcb6 REL: 1.15.3 rel commit [wheel build]
  • 61e6aa1 Merge pull request #22840 from tylerjereddy/treddy_1.15.3_backports
  • 18c4ca8 MAINT: PR 22840 wheel build [wheel build]
  • bd0f132 MAINT: PR 22840 revisions
  • 033b138 MAINT: PR 22840 revisions
  • 7a283cc DOC: PR 22840 revisions
  • 3d1ea40 BUG: spatial.HalfspaceIntersection: raise on non-feasible half space (#20035)
  • d01b984 BUG: ndimage.median_filter: fix segfault when using mode='mirror' (#22608)
  • 0879108 MAINT: special.logsumexp: fix bug when weight of largest magnitude component ...
  • 9b3b2d8 Merge pull request #22869 from smurfix/main
  • Additional commits viewable in compare view

Updates tqdm from 4.66.5 to 4.67.1

Release notes

Sourced from tqdm's releases.

tqdm v4.67.1 stable

  • fix gui (matplotlib syntax) (#1629)
  • misc test & framework updates
    • bump pytest-asyncio (#1630)
    • fix codecov rate limit
    • fix pybuild
    • sync dependencies

tqdm v4.67.0 stable

  • contrib.discord: replace disco-py with requests (#1536)

tqdm v4.66.6 stable

  • cli: zip-safe --manpath, --comppath (#1627)
  • misc framework updates (#1627)
    • fix pytest DeprecationWarning
    • fix snapcraft build
    • fix nbval DeprecationWarning
    • update & tidy workflows
    • bump pre-commit
    • docs: update URLs
Commits

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📚 Documentation preview 📚: https://RDAgent--2.org.readthedocs.build/en/2/

@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Jun 16, 2025
@dependabot
build(requirements): bump the prod group across 1 directory with 11 u…
9bf0c6e 
…pdates

Bumps the prod group with 11 updates in the / directory:

| Package | From | To |
| --- | --- | --- |
| [scikit-learn](https://github.com/scikit-learn/scikit-learn) | `1.6.1` | `1.7.0` |
| [xgboost](https://github.com/dmlc/xgboost) | `3.0.0` | `3.0.2` |
| [numpy](https://github.com/numpy/numpy) | `1.23.5` | `2.2.6` |
| [pandas](https://github.com/pandas-dev/pandas) | `1.5.3` | `2.3.0` |
| [azure-identity](https://github.com/Azure/azure-sdk-for-python) | `1.17.1` | `1.23.0` |
| [dill](https://github.com/uqfoundation/dill) | `0.3.9` | `0.4.0` |
| [pillow](https://github.com/python-pillow/Pillow) | `10.4.0` | `11.2.1` |
| [psutil](https://github.com/giampaolo/psutil) | `6.1.0` | `7.0.0` |
| [rich](https://github.com/Textualize/rich) | `13.9.2` | `14.0.0` |
| [scipy](https://github.com/scipy/scipy) | `1.14.1` | `1.15.3` |
| [tqdm](https://github.com/tqdm/tqdm) | `4.66.5` | `4.67.1` |



Updates `scikit-learn` from 1.6.1 to 1.7.0
- [Release notes](https://github.com/scikit-learn/scikit-learn/releases)
- [Commits](scikit-learn/scikit-learn@1.6.1...1.7.0)

Updates `xgboost` from 3.0.0 to 3.0.2
- [Release notes](https://github.com/dmlc/xgboost/releases)
- [Changelog](https://github.com/dmlc/xgboost/blob/master/NEWS.md)
- [Commits](dmlc/xgboost@v3.0.0...v3.0.2)

Updates `numpy` from 1.23.5 to 2.2.6
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v1.23.5...v2.2.6)

Updates `pandas` from 1.5.3 to 2.3.0
- [Release notes](https://github.com/pandas-dev/pandas/releases)
- [Commits](pandas-dev/pandas@v1.5.3...v2.3.0)

Updates `azure-identity` from 1.17.1 to 1.23.0
- [Release notes](https://github.com/Azure/azure-sdk-for-python/releases)
- [Changelog](https://github.com/Azure/azure-sdk-for-python/blob/main/doc/esrp_release.md)
- [Commits](Azure/azure-sdk-for-python@azure-identity_1.17.1...azure-identity_1.23.0)

Updates `dill` from 0.3.9 to 0.4.0
- [Release notes](https://github.com/uqfoundation/dill/releases)
- [Commits](uqfoundation/dill@0.3.9...0.4.0)

Updates `pillow` from 10.4.0 to 11.2.1
- [Release notes](https://github.com/python-pillow/Pillow/releases)
- [Changelog](https://github.com/python-pillow/Pillow/blob/main/CHANGES.rst)
- [Commits](python-pillow/Pillow@10.4.0...11.2.1)

Updates `psutil` from 6.1.0 to 7.0.0
- [Changelog](https://github.com/giampaolo/psutil/blob/master/HISTORY.rst)
- [Commits](giampaolo/psutil@release-6.1.0...release-7.0.0)

Updates `rich` from 13.9.2 to 14.0.0
- [Release notes](https://github.com/Textualize/rich/releases)
- [Changelog](https://github.com/Textualize/rich/blob/master/CHANGELOG.md)
- [Commits](Textualize/rich@v13.9.2...v14.0.0)

Updates `scipy` from 1.14.1 to 1.15.3
- [Release notes](https://github.com/scipy/scipy/releases)
- [Commits](scipy/scipy@v1.14.1...v1.15.3)

Updates `tqdm` from 4.66.5 to 4.67.1
- [Release notes](https://github.com/tqdm/tqdm/releases)
- [Commits](tqdm/tqdm@v4.66.5...v4.67.1)

---
updated-dependencies:
- dependency-name: scikit-learn
  dependency-version: 1.7.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: prod
- dependency-name: xgboost
  dependency-version: 3.0.2
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: prod
- dependency-name: numpy
  dependency-version: 2.2.6
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: prod
- dependency-name: pandas
  dependency-version: 2.3.0
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: prod
- dependency-name: azure-identity
  dependency-version: 1.23.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: prod
- dependency-name: dill
  dependency-version: 0.4.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: prod
- dependency-name: pillow
  dependency-version: 11.2.1
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: prod
- dependency-name: psutil
  dependency-version: 7.0.0
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: prod
- dependency-name: rich
  dependency-version: 14.0.0
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: prod
- dependency-name: scipy
  dependency-version: 1.15.3
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: prod
- dependency-name: tqdm
  dependency-version: 4.67.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: prod
...

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@dependabot dependabot bot force-pushed the dependabot/pip/prod-68dabd49aa branch from 135e592 to 9bf0c6e Compare June 23, 2025 02:48
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dependabot bot commented on behalf of github Nov 17, 2025

Dependabot tried to update this pull request, but something went wrong. We're looking into it, but in the meantime you can retry the update by commenting @dependabot recreate.

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