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build(deps): bump the production-dependencies group across 1 directory with 7 updates #462

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@dependabot dependabot bot commented on behalf of github Jan 6, 2025

Bumps the production-dependencies group with 7 updates in the / directory:

Package From To
matplotlib 3.5.2 3.10.0
numpy 1.22.4 2.2.1
pandas 1.4.2 2.2.3
python-dotenv 0.20.0 1.0.1
requests 2.28.0 2.32.3
scipy 1.8.1 1.15.0
seaborn 0.11.2 0.13.2

Updates matplotlib from 3.5.2 to 3.10.0

Release notes

Sourced from matplotlib's releases.

REL: v3.10.0

Highlights of this release include:

- Preliminary support for free-threaded CPython 3.13
- New more-accessible color cycle
- Dark-mode diverging colormaps
- Exception handling control
- InsetIndicator artist
- FillBetweenPolyCollection
- Fill between 3D lines
- Data in 3D plots can now be dynamically clipped to the axes view limits
- Rotating 3d plots with the mouse
- Increased Figure limits with Agg renderer
- Subfigures no longer provisional
- Subfigures are now added in row-major order

Matplotlib v3.10.0rc1

This is the first release candidate for Matplotlib 3.10.0

REL: 3.9.4

This is the fourth bugfix release of the 3.9.x series.

This release contains two bug-fixes:

  • Fix toolbar icons in GTK backend
  • Fix Poly3DCollection initialization with list of lists

REL: 3.9.3

This is the third bugfix release of the 3.9.x series.

This release contains several bug-fixes and adjustments:

  • Fix axline with extremely small slopes
  • Fix axline with non-linear axis scales
  • Fix minimumSizeHint with Qt backend
  • Fix config directory usage when it's behind a symlink
  • Fix draggable legend when blitting is enabled
  • Fix high CPU utilization in the macosx backend
  • Fix multiple hatch edgecolors passed to contourf
  • Improve compatibility with pytest 8.2.0

REL: 3.9.2

This is the second bugfix release of the 3.9.x series.

This release contains several bug-fixes and adjustments:

  • Be more resilient to I/O failures when writing font cache
  • Fix nondeterministic behavior with subplot spacing and constrained layout
  • Fix sticky edge tolerance relative to data range
  • Improve formatting of image values in cases of singular norms

... (truncated)

Commits
  • 8d64f03 REL: v3.10.0 release
  • d9dfee8 [doc] Fix dead links
  • 87a603f Update release notes for 3.10.0
  • cdecf97 Update github stats for 3.10
  • b8d19bd Merge pull request #29306 from meeseeksmachine/auto-backport-of-pr-29242-on-v...
  • a42d0ed Backport PR #29242: DOC: Add kwdoc list to scatter() docstring
  • 1900640 Merge pull request #29299 from QuLogic/merge-v39x
  • 815389c Merge branch 'v3.9.x' into v3.10.x
  • 73873c0 DOC: Create release notes for 3.9.4
  • 9d17a2b DOC: Add Zenodo DOI for 3.9.4
  • Additional commits viewable in compare view

Updates numpy from 1.22.4 to 2.2.1

Release notes

Sourced from numpy's releases.

2.2.1 (DEC 21, 2024)

NumPy 2.2.1 Release Notes

NumPy 2.2.1 is a patch release following 2.2.0. It fixes bugs found after the 2.2.0 release and has several maintenance pins to work around upstream changes.

There was some breakage in downstream projects following the 2.2.0 release due to updates to NumPy typing. Because of problems due to MyPy defects, we recommend using basedpyright for type checking, it can be installed from PyPI. The Pylance extension for Visual Studio Code is also based on Pyright. Problems that persist when using basedpyright should be reported as issues on the NumPy github site.

This release supports Python 3.10-3.13.

Contributors

A total of 9 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

  • Charles Harris
  • Joren Hammudoglu
  • Matti Picus
  • Nathan Goldbaum
  • Peter Hawkins
  • Simon Altrogge
  • Thomas A Caswell
  • Warren Weckesser
  • Yang Wang +

Pull requests merged

A total of 12 pull requests were merged for this release.

  • #27935: MAINT: Prepare 2.2.x for further development
  • #27950: TEST: cleanups
  • #27958: BUG: fix use-after-free error in npy_hashtable.cpp (#27955)
  • #27959: BLD: add missing include
  • #27982: BUG:fix compile error libatomic link test to meson.build
  • #27990: TYP: Fix falsely rejected value types in ndarray.__setitem__
  • #27991: MAINT: Don't wrap #include <Python.h> with extern "C"
  • #27993: BUG: Fix segfault in stringdtype lexsort
  • #28006: MAINT: random: Tweak module code in mtrand.pyx to fix a Cython...
  • #28007: BUG: Cython API was missing NPY_UINTP.
  • #28021: CI: pin scipy-doctest to 1.5.1
  • #28044: TYP: allow None in operand sequence of nditer

Checksums

... (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
  • 7469245 Merge pull request #28047 from charris/prepare-2.2.1
  • acb051e REL: Prepare for the NumPy 2.2.1 release [wheel build]
  • 28a091a Merge pull request #28044 from charris/backport-28039
  • 723605b TST: Add test for allowing None in operand sequence passed to nditer
  • 554739e TYP: allow None in operand sequence of nditer
  • 31bc4c8 Merge pull request #28021 from charris/backport-28020
  • 32f52a3 CI: pin scipy-doctest to 1.5.1 (#28020)
  • 6219aeb Merge pull request #28007 from charris/backport-28005
  • eb7071c Merge pull request #28006 from charris/backport-28003
  • 4f82c32 BUG: Cython API was missing NPY_UINTP.
  • Additional commits viewable in compare view

Updates pandas from 1.4.2 to 2.2.3

Release notes

Sourced from pandas's releases.

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:

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 2.2.1

We are pleased to announce the release of pandas 2.2.1. 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 2.2.1 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 python-dotenv from 0.20.0 to 1.0.1

Release notes

Sourced from python-dotenv's releases.

v1.0.1

What's Changed

New Contributors

Full Changelog: theskumar/python-dotenv@v1.0.0...v1.0.1

Version 1.0.0

What's Changed

New Contributors

Full Changelog: theskumar/python-dotenv@v0.21.1...v1.0.0

Version 0.21.1

Added

Fixed

  • Fix Out-of-scope error when "dest" variable is undefined (#413 by @​theGOTOguy)
  • Fix IPython test warning about deprecated magic (#440 by @​bbc2)
  • Fix type hint for dotenv_path var, add StrPath alias (#432 by @​eaf)

New Contributors

... (truncated)

Changelog

Sourced from python-dotenv's changelog.

[1.0.1] - 2024-01-23

Fixed

  • Gracefully handle code which has been imported from a zipfile (#456 by [@​samwyma])
  • Allow modules using load_dotenv to be reloaded when launched in a separate thread (#497 by [@​freddyaboulton])
  • Fix file not closed after deletion, handle error in the rewrite function (#469 by [@​Qwerty-133])

Misc

[1.0.0] - 2023-02-24

Fixed

[0.21.1] - 2023-01-21

Added

Fixed

  • Fix Out-of-scope error when "dest" variable is undefined (#413 by [@​theGOTOguy])
  • Fix IPython test warning about deprecated magic (#440 by [@​bbc2])
  • Fix type hint for dotenv_path var, add StrPath alias (#432 by [@​eaf])

[0.21.0] - 2022-09-03

Added

Fixed

... (truncated)

Commits
  • d6c0b96 Bumpversion 1.0.0 -> 1.0.1
  • 42dc086 Update changelog for 1.0.1
  • b1eebba Add python 3.12 and pypy3.10 to test runner
  • 6ff1391 Fix temporary file is deleted before closing, in the rewrite function (#468)
  • 0b94ac0 Allow modules using load_dotenv to be reloaded when launched in a separate th...
  • 3ffcef6 Use https in README links (#474)
  • be96be2 Use pathlib.Path in tests (#466)
  • 137bc3d Gracefully handle code which has been imported from a zipfile (#456)
  • dd1af68 FIx year in release in changelog (#453)
  • d0684d1 Bump version: 0.21.1 → 1.0.0
  • Additional commits viewable in compare view

Updates requests from 2.28.0 to 2.32.3

Release notes

Sourced from requests's releases.

v2.32.3

2.32.3 (2024-05-29)

Bugfixes

  • Fixed bug breaking the ability to specify custom SSLContexts in sub-classes of HTTPAdapter. (#6716)
  • Fixed issue where Requests started failing to run on Python versions compiled without the ssl module. (#6724)

v2.32.2

2.32.2 (2024-05-21)

Deprecations

  • To provide a more stable migration for custom HTTPAdapters impacted by the CVE changes in 2.32.0, we've renamed _get_connection to a new public API, get_connection_with_tls_context. Existing custom HTTPAdapters will need to migrate their code to use this new API. get_connection is considered deprecated in all versions of Requests>=2.32.0.

    A minimal (2-line) example has been provided in the linked PR to ease migration, but we strongly urge users to evaluate if their custom adapter is subject to the same issue described in CVE-2024-35195. (#6710)

v2.32.1

2.32.1 (2024-05-20)

Bugfixes

  • Add missing test certs to the sdist distributed on PyPI.

v2.32.0

2.32.0 (2024-05-20)

🐍 PYCON US 2024 EDITION 🐍

Security

  • Fixed an issue where setting verify=False on the first request from a Session will cause subsequent requests to the same origin to also ignore cert verification, regardless of the value of verify. (GHSA-9wx4-h78v-vm56)

Improvements

  • verify=True now reuses a global SSLContext which should improve request time variance between first and subsequent requests. It should also minimize certificate load time on Windows systems when using a Python version built with OpenSSL 3.x. (#6667)
  • Requests now supports optional use of character detection (chardet or charset_normalizer) when repackaged or vendored.

... (truncated)

Changelog

Sourced from requests's changelog.

2.32.3 (2024-05-29)

Bugfixes

  • Fixed bug breaking the ability to specify custom SSLContexts in sub-classes of HTTPAdapter. (#6716)
  • Fixed issue where Requests started failing to run on Python versions compiled without the ssl module. (#6724)

2.32.2 (2024-05-21)

Deprecations

  • To provide a more stable migration for custom HTTPAdapters impacted by the CVE changes in 2.32.0, we've renamed _get_connection to a new public API, get_connection_with_tls_context. Existing custom HTTPAdapters will need to migrate their code to use this new API. get_connection is considered deprecated in all versions of Requests>=2.32.0.

    A minimal (2-line) example has been provided in the linked PR to ease migration, but we strongly urge users to evaluate if their custom adapter is subject to the same issue described in CVE-2024-35195. (#6710)

2.32.1 (2024-05-20)

Bugfixes

  • Add missing test certs to the sdist distributed on PyPI.

2.32.0 (2024-05-20)

Security

  • Fixed an issue where setting verify=False on the first request from a Session will cause subsequent requests to the same origin to also ignore cert verification, regardless of the value of verify. (GHSA-9wx4-h78v-vm56)

Improvements

  • verify=True now reuses a global SSLContext which should improve request time variance between first and subsequent requests. It should also minimize certificate load time on Windows systems when using a Python version built with OpenSSL 3.x. (#6667)
  • Requests now supports optional use of character detection (chardet or charset_normalizer) when repackaged or vendored. This enables pip and other projects to minimize their vendoring surface area. The Response.text() and apparent_encoding APIs will default to utf-8 if neither library is present. (#6702)

... (truncated)

Commits
  • 0e322af v2.32.3
  • e188799 Don't create default SSLContext if ssl module isn't present (#6724)
  • 145b539 Merge pull request #6716 from sigmavirus24/bug/6715
  • b1d73dd Don't use default SSLContext with custom poolmanager kwargs
  • 6badbac Update HISTORY.md
  • a62a2d3 Allow for overriding of specific pool key params
  • 88dce9d v2.32.2
  • c98e4d1 Merge pull request #6710 from nateprewitt/api_rename
  • 92075b3 Add deprecation warning
  • aa1461b Move _get_connection to get_connection_with_tls_context
  • Additional commits viewable in compare view

Updates scipy from 1.8.1 to 1.15.0

Release notes

Sourced from scipy's releases.

SciPy 1.15.0 Release Notes

SciPy 1.15.0 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 1.15.x branch, and on adding new features on the main branch.

This release requires Python 3.10-3.13 and NumPy 1.23.5 or greater.

Highlights of this release

  • Sparse arrays are now fully functional for 1-D and 2-D arrays. We recommend that all new code use sparse arrays instead of sparse matrices and that developers start to migrate their existing code from sparse matrix to sparse array: migration_to_sparray. Both sparse.linalg and sparse.csgraph work with either sparse matrix or sparse array and work internally with sparse array.

  • Sparse arrays now provide basic support for n-D arrays in the COO format including add, subtract, reshape, transpose, matmul, dot, tensordot and others. More functionality is coming in future releases.

  • Preliminary support for free-threaded Python 3.13.

  • New probability distribution features in scipy.stats can be used to improve the speed and accuracy of existing continuous distributions and perform new probability calculations.

  • Several new features support vectorized calculations with Python Array API Standard compatible input (see "Array API Standard Support" below):

    • scipy.differentiate is a new top-level submodule for accurate estimation of derivatives of black box functions.
    • scipy.optimize.elementwise contains new functions for root-finding and minimization of univariate functions.
    • scipy.integrate offers new functions cubature, tanhsinh, and nsum for multivariate integration, univariate integration, and univariate series summation, respectively.

  • scipy.interpolate.AAA adds the AAA algorithm for barycentric rational approximation of real or complex functions.

  • scipy.special adds new functions offering improved Legendre function implementations with a more consistent interface.

... (truncated)

Commits
  • 6e246d0 REL: 1.15.0 "final" rel commit [wheel build]
  • ed7c850 Merge pull request #22233 from tylerjereddy/treddy_backports_1.15.0_final
  • 2e2f2cd MAINT: PR 22233 wheel build [wheel build]
  • f05c622 DOC: Update 1.15.0 relnotes
  • 7348d92 Update scipy/differentiate/_differentiate.py
  • 56b1f7e DOC: differentiate.jacobian: correct/improve documentation about callable int...
  • 30077e7 DEP: linalg.solve_toeplitz/matmul_toeplitz: warn on n-D c, r (#22193)
  • 256c1a2 Merge pull request #22181 from tylerjereddy/treddy_prep_scipy_1.15.0rc3
  • f046276 REL: set 1.15.0rc3 unreleased
  • a3d40a8 REL: 1.15.0rc2 rel commit [wheel build]
  • Additional commits viewable in compare view

Updates seaborn from 0.11.2 to 0.13.2

Release notes

Sourced from seaborn's releases.

v0.13.2 (January 2024)

This is a minor release containing internal changes that adapt to upcoming deprecations in pandas. All users are encouraged to update.

v0.13.1 (December 2023)

This is a minor release with some bug fixes and a couple new features. All users are encouraged to update.

  • |Feature| Added support for weighted mean estimation (with boostrap CIs) in lineplot, barplot, pointplot, and objects.Est (#3580, #3586).

  • |Feature| Added the extent option in objects.Plot.layout (#3552).

  • |Fix| Fixed a regression in v0.13.0 that triggered an exception when working with non-numpy data types (#3516).

  • |Fix| Fixed a bug in objects.Plot so that tick labels are shown for wrapped axes that aren't in the bottom-most row (#3600).

  • |Fix| Fixed a bug in catplot where a blank legend would be added when hue was redundantly assigned (#3540).

  • |Fix| Fixed a bug in catplot where the edgecolor parameter was ignored with kind="bar" (#3547).

  • |Fix| Fixed a bug in boxplot where an exception was raised when using the matplotlib bootstrap option (#3562).

  • |Fix| Fixed a bug in lineplot where an exception was raised when hue was assigned with an empty dataframe (#3569).

  • |Fix| Fixed a bug in multiple categorical plots that raised with hue=None and dodge=True; this is now has no effect (#3605).

v0.13.0 (September 2023)

See the online docs for an annotated version of these notes with working links.

This is a major release with a number of important new features and changes. The highlight is a major overhaul to seaborn's categorical plotting functions, providing them with many new capabilities and better aligning their API with the rest of the library. There is also provisional support for alternate dataframe libraries like polars, a new theme and display configuration system for objects.Plot, and many smaller bugfixes and enhancements.

Updating is recommended, but users are encouraged to carefully check the outputs of existing code that uses the categorical functions, and they should be aware of some deprecations and intentional changes to the default appearance of the resulting plots (see notes below with and tags).

Major enhancements to categorical plots

Seaborn's categorical functions <categorical_api> have been completely rewritten for this release. This provided the opportunity to address some longstanding quirks as well as to add a number of smaller but much-desired features and enhancements.

Support for numeric and datetime data

The categorical functions have historically treated all data as categorical, even when it has a numeric or datetime type. This can now be controlled with the new native_scale parameter. The default remains False to preserve existing behavior. But with native_scale=True, values will be treated as they would by other seaborn or matplotlib functions. Element widths will be derived from the minimum distance between two unique values on the categorical axis.

Additionally, while seaborn previously determined the mapping from categorical values to ordinal positions internally, this is now delegated to matplotlib. The change should mostly be transparent to the user, but categorical plots (even with native_scale=False) will better align with artists added by other seaborn or matplotlib functions in most cases, and matplotlib's interactive machinery will work better.

Changes to color defaults and specification

The categorical functions now act more like the rest of seaborn in that they will produce a plot with a single main color unless the hue variable is assigned. Previously, there would be an implicit redundant color mapping (e.g., each box in a boxplot would get a separate color from the default palette). To retain the previous behavior, explicitly assign a redundant hue variable (e.g., boxplot(data, x="x", y="y", hue="x")).

Two related idiosyncratic color specifications are deprecated, but they will continue to work (with a warning) for one release cycle:

  • Passing a palette without explicitly assigning hue is no longer supported (add an explicitly redundant hue assignment instead).
  • Passing a color while assigning hue to produce a gradient is no longer supported (use palette="dark:{color}" or palette="light:{color}" instead).

... (truncated)

Commits

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@dependabot
build(deps): bump the production-dependencies group across 1 director…
4638ab9 
…y with 7 updates

Bumps the production-dependencies group with 7 updates in the / directory:

| Package | From | To |
| --- | --- | --- |
| [matplotlib](https://github.com/matplotlib/matplotlib) | `3.5.2` | `3.10.0` |
| [numpy](https://github.com/numpy/numpy) | `1.22.4` | `2.2.1` |
| [pandas](https://github.com/pandas-dev/pandas) | `1.4.2` | `2.2.3` |
| [python-dotenv](https://github.com/theskumar/python-dotenv) | `0.20.0` | `1.0.1` |
| [requests](https://github.com/psf/requests) | `2.28.0` | `2.32.3` |
| [scipy](https://github.com/scipy/scipy) | `1.8.1` | `1.15.0` |
| [seaborn](https://github.com/mwaskom/seaborn) | `0.11.2` | `0.13.2` |



Updates `matplotlib` from 3.5.2 to 3.10.0
- [Release notes](https://github.com/matplotlib/matplotlib/releases)
- [Commits](matplotlib/matplotlib@v3.5.2...v3.10.0)

Updates `numpy` from 1.22.4 to 2.2.1
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v1.22.4...v2.2.1)

Updates `pandas` from 1.4.2 to 2.2.3
- [Release notes](https://github.com/pandas-dev/pandas/releases)
- [Commits](pandas-dev/pandas@v1.4.2...v2.2.3)

Updates `python-dotenv` from 0.20.0 to 1.0.1
- [Release notes](https://github.com/theskumar/python-dotenv/releases)
- [Changelog](https://github.com/theskumar/python-dotenv/blob/main/CHANGELOG.md)
- [Commits](theskumar/python-dotenv@v0.20.0...v1.0.1)

Updates `requests` from 2.28.0 to 2.32.3
- [Release notes](https://github.com/psf/requests/releases)
- [Changelog](https://github.com/psf/requests/blob/main/HISTORY.md)
- [Commits](psf/requests@v2.28.0...v2.32.3)

Updates `scipy` from 1.8.1 to 1.15.0
- [Release notes](https://github.com/scipy/scipy/releases)
- [Commits](scipy/scipy@v1.8.1...v1.15.0)

Updates `seaborn` from 0.11.2 to 0.13.2
- [Release notes](https://github.com/mwaskom/seaborn/releases)
- [Commits](mwaskom/seaborn@v0.11.2...v0.13.2)

---
updated-dependencies:
- dependency-name: matplotlib
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: production-dependencies
- dependency-name: numpy
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: production-dependencies
- dependency-name: pandas
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: production-dependencies
- dependency-name: python-dotenv
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: production-dependencies
- dependency-name: requests
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: production-dependencies
- dependency-name: scipy
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: production-dependencies
- dependency-name: seaborn
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: production-dependencies
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Jan 6, 2025
@dependabot dependabot bot added this to the Dependencies milestone Jan 6, 2025
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