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Bump the runtime-dependencies group across 1 directory with 9 updates #1577

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@dependabot dependabot bot commented on behalf of github Jan 24, 2025

Bumps the runtime-dependencies group with 9 updates in the / directory:

Package From To
asteval 1.0.2 1.0.6
netcdf4 1.7.1.post1 1.7.2
numba 0.60.0 0.61.0
numpy 2.0.1 2.2.2
pandas 2.2.2 2.2.3
pydantic 2.8.2 2.10.6
ruamel-yaml 0.18.6 0.18.10
scipy 1.14.1 1.15.1
sdtfile 2024.5.24 2024.12.6

Updates asteval from 1.0.2 to 1.0.6

Release notes

Sourced from asteval's releases.

1.0.6

  • drop testing and support for Python3.8, add Python 3.13, change document to reflect this.
  • implement safe_getattr and safe_format functions; fix bugs in UNSAFE_ATTRS and UNSAFE_ATTRS_DTYPES usage
  • make all procedure attributes private to curb access to AST nodes, which can be exploited
  • improvements to error messages, including use ast functions to construct better error messages
  • remove import of numpy.linalg, as documented
  • update doc description for security advisory

Special thanks to @​SteakEnthusiast for the security-related fixes

1.0.5

bugfix:

  • more work on handling errors, including fixing #133 and adding more comprehensive tests for #129 and #132

1.0.4

bugfix:

  • fix error handling that might result in null exception

1.0.3

bug fixes, a few feature enhancements:

  • functions ("Procedures") defined within asteval have a _signature() method, now use in repr
  • add support for deleting subscript
  • nested symbol tables now have a Group() function
  • update coverage config
  • cleanups of exception handling : errors must now have an exception
  • several related fixes to suppress repeated exceptions: see GH #132 and #129
  • make non-boolean return values from comparison operators behave like Python - not immediately testing as bool
Commits
  • 40c3196 document support for Python 3.9 to 3.13
  • 70eb46b using ast functions to construct better error messages
  • b578ce1 work on improving error messages
  • 9dbd8ad update supported version
  • ea78397 update copyright
  • 36abc02 change tested versions to 3.9 to 3.13
  • 68a43a1 drop Python3.8 testing
  • 8e0700e include text and better lineno info for better exceptions
  • 6970d89 some doc updates
  • 5840a7f fix doc Makefile
  • Additional commits viewable in compare view

Updates netcdf4 from 1.7.1.post1 to 1.7.2

Changelog

Sourced from netcdf4's changelog.

since version 1.7.2 release

  • support os.PathLike arguments for Dataset.fromcdl and raise a FileNotFoundError if the cdl is missing and a FileExistsError if the nc file already exists (PR #1387)
  • raise more informative error when trying to iterate or perform a membership operation on a Dataset (issue #1383)
  • fix type hint for createEnumType (issue #1378)
  • add python 3.13 to windows wheel builds (PR #1377)

version 1.7.2 (tag v1.7.2rel)

  • add static type hints (PRs #1302, #1349)
  • Expose nc_rc_set, nc_rc_get (via rc_set, rc_get module functions). (PR #1348)
  • Add Variable.get_fill_value and allow fill_value='default' to set _FillValue attribute using default fill values. (issue #1374, PR #1375).
  • Fix NETCDF3 endian error (issue #1373, PR #1355).

version 1.7.1 (tag v1.7.1rel)

  • include nc_complex source code from v0.2.0 tag (instead of using submodule).
  • add aarch64 wheels.

version 1.7.0 (tag v1.7.0rel)

  • add support for complex numbers via auto_complex keyword to Dataset (PR #1295)
  • fix for deprecated Cython DEF and IF statements using compatibility header with shims for unavailable functionality (PR #1277)
  • use szip as the library name on Windows (PR #1304)
  • add support for MS-MPI MPI_Message detection (PR #1305)
  • fix for issue #1306 - surprising result when indexing vlen str with non-contiguous indices.
  • Fix bug in set_collective introduced in PR #1277 (collective mode was always set).

version 1.6.5 (tag v1.6.5rel)

  • fix for issue #1271 (mask ignored if bool MA assigned to uint8 var)
  • include information on specific object when reporting errors from netcdf-c
  • python 3.12 wheels added, support for python 3.7 removed.

version 1.6.4 (tag v1.6.4rel)

  • set path to SSL certificates internally, so https DAP URLs work with wheels (issue #1246, requires nc_rc_set function available starting with netcdf-c 4.9.1, plus bugfix in netcdf-c PR #2690). Added certifi as a dependency.
  • Added isopen method to MFDataset object to check if underlying files are open.

version 1.6.3 (tag v1.6.3rel)

... (truncated)

Commits

Updates numba from 0.60.0 to 0.61.0

Release notes

Sourced from numba's releases.

Numba 0.61.0

Major Numba release adding Python 3.13 and NumPy 2.1 support. View detailed release notes and changelog here.

Commits
  • 8ec16ce Merge pull request #9897 from kc611/release0.61
  • a9ee23a Fixed NumPy versioning issue in RTD
  • 01e0bcd Updated version support table
  • 0ae7143 Modified changelog for 0.61.0 final
  • 7d23618 Merge pull request #9887 from sklam/misc/disable_coverage
  • 0d7b433 Merge pull request #9843 from kc611/release0.61
  • 3735191 Update docs/source/release/0.61.0-notes.rst
  • 1bd3d0f Updated changelog entries
  • d74d94e Merge pull request #9848 from sklam/fix/py3_13_1_getiter
  • bf20b30 Added Changlog entries for RC2
  • Additional commits viewable in compare view

Updates numpy from 2.0.1 to 2.2.2

Release notes

Sourced from numpy's releases.

2.2.2 (Jan 18, 2025)

NumPy 2.2.2 Release Notes

NumPy 2.2.2 is a patch release that fixes bugs found after the 2.2.1 release. The number of typing fixes/updates is notable. 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.

  • Alicia Boya García +
  • Charles Harris
  • Joren Hammudoglu
  • Kai Germaschewski +
  • Nathan Goldbaum
  • PTUsumit +
  • Rohit Goswami
  • Sebastian Berg

Pull requests merged

A total of 16 pull requests were merged for this release.

  • #28050: MAINT: Prepare 2.2.x for further development
  • #28055: TYP: fix void arrays not accepting str keys in __setitem__
  • #28066: TYP: fix unnecessarily broad integer binop return types (#28065)
  • #28112: TYP: Better ndarray binop return types for float64 &...
  • #28113: TYP: Return the correct bool from issubdtype
  • #28114: TYP: Always accept date[time] in the datetime64 constructor
  • #28120: BUG: Fix auxdata initialization in ufunc slow path
  • #28131: BUG: move reduction initialization to ufunc initialization
  • #28132: TYP: Fix interp to accept and return scalars
  • #28137: BUG: call PyType_Ready in f2py to avoid data races
  • #28145: BUG: remove unnecessary call to PyArray_UpdateFlags
  • #28160: BUG: Avoid data race in PyArray_CheckFromAny_int
  • #28175: BUG: Fix f2py directives and --lower casing
  • #28176: TYP: Fix overlapping overloads issue in 2->1 ufuncs
  • #28177: TYP: preserve shape-type in ndarray.astype()
  • #28178: TYP: Fix missing and spurious top-level exports

Checksums

MD5

749cb2adf8043551aae22bbf0ed3130a  numpy-2.2.2-cp310-cp310-macosx_10_9_x86_64.whl
bc79fa2e44316b7ce9bacb48a993ed91  numpy-2.2.2-cp310-cp310-macosx_11_0_arm64.whl
c6b2caa2bbb645b5950dccb77efb1dbb  numpy-2.2.2-cp310-cp310-macosx_14_0_arm64.whl
8c410efac169af880cacbbac8a731658  numpy-2.2.2-cp310-cp310-macosx_14_0_x86_64.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
  • fd8a68e Merge pull request #28184 from charris/prepare-2.2.2
  • 0d106a5 REL: Prepare for the NumPy 2.2.2 release [wheel build]
  • dfdd35a Merge pull request #28175 from charris/backport-28056
  • e4517a8 Merge pull request #28176 from charris/backport-28168
  • 2c0432b Merge pull request #28178 from charris/backport-28170
  • 2230a08 Merge pull request #28177 from charris/backport-28169
  • b04e32c TYP: Fix missing and spurious top-level exports
  • 6a5f537 TYP: preserve shape-type in ndarray.astype()
  • f782790 TYP: Fix overlapping overloads issue in 2->1 ufuncs
  • a19acf1 BUG: Fix casing for f2py directives
  • Additional commits viewable in compare view

Updates pandas from 2.2.2 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.

Commits

Updates pydantic from 2.8.2 to 2.10.6

Release notes

Sourced from pydantic's releases.

v2.10.6 2025-01-23

What's Changed

Fixes

Full Changelog: pydantic/pydantic@v2.10.5...v2.10.6

v2.10.5 2024-12-18

What's Changed

Fixes

Full Changelog: pydantic/pydantic@v2.10.4...v2.10.5

v2.10.4 2024-12-18

What's Changed

Packaging

Fixes

New Contributors

Full Changelog: pydantic/pydantic@v2.10.3...v2.10.4

v2.10.3 2024-12-03

What's Changed

Fixes

  • Set fields when defer_build is set on Pydantic dataclasses by @​Viicos in #10984
  • Do not resolve the JSON Schema reference for dict core schema keys by @​Viicos in #10989
  • Use the globals of the function when evaluating the return type for PlainSerializer and WrapSerializer functions by @​Viicos in #11008

... (truncated)

Changelog

Sourced from pydantic's changelog.

v2.10.6 (2025-01-23)

GitHub release

What's Changed

Fixes

v2.10.5 (2025-01-08)

GitHub release

What's Changed

Fixes

v2.10.4 (2024-12-18)

GitHub release

What's Changed

Packaging

Fixes

New Contributors

v2.10.3 (2024-12-03)

... (truncated)

Commits

Updates ruamel-yaml from 0.18.6 to 0.18.10

Updates scipy from 1.14.1 to 1.15.1

Release notes

Sourced from scipy's releases.

SciPy 1.15.1 Release Notes

SciPy 1.15.1 is a bug-fix release with no new features compared to 1.15.0. Importantly, an issue with the import of scipy.optimize breaking other packages has been fixed.

Authors

  • Name (commits)
  • Ralf Gommers (3)
  • Rohit Goswami (1)
  • Matt Haberland (2)
  • Tyler Reddy (7)
  • Daniel Schmitz (1)

A total of 5 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 1.15.0 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

... (truncated)

Commits
  • df134ea REL: 1.15.1 rel commit [wheel build]
  • f939c19 Merge pull request #22296 from tylerjereddy/treddy_1.15.1_backports
  • 609bb3c DOC: PR 22296 revisions
  • 5bfd6a2 TST: stats.Normal: bump tolerance on test of logcdf (#22276)
  • f9a549c DOC: update 1.15.1 relnotes
  • 6f011d8 MAINT: Update highs subproject commit
  • 0ff01de TST: fix thread safety issue in interpolate.bsplines memmap test
  • 21c65ab BLD: fix some issues with undeclared internal build dependencies
  • 826759e MAINT: fix url for array-api-extra git submodule
  • 9af1fcd Merge pull request #22235 from tylerjereddy/treddy_prep_1.15.1
  • Additional commits viewable in compare view

Updates sdtfile from 2024.5.24 to 2024.12.6

Release notes

Sourced from sdtfile's releases.

v2024.12.6

Read Becker & Hickl SDT files

Sdtfile is a Python library to read SDT files produced by Becker & Hickl SPCM software. SDT files contain time correlated single photon counting instrumentation parameters and measurement data. Currently only the "Setup & Data", "DLL Data", and "FCS Data" formats are supported.

Changes

  • Fix read MeasureInfo fields as scalars (breaking).
  • Update some structure field names with BH reference (breaking).
  • Parse some SetupBlock binary structures (#7).
  • Include more information in str(SdtFile).
  • Add subtype to FileRevision.

v2024.11.24

Read Becker & Hickl SDT files

Sdtfile is a Python library to read SDT files produced by Becker & Hickl SPCM software. SDT files contain time correlated single photon counting instrumentation parameters and measurement data. Currently only the "Setup & Data", "DLL Data", and "FCS Data" formats are supported.

Changelog

Sourced from sdtfile's changelog.

2024.12.6

  • Fix read MeasureInfo fields as scalars (breaking).
  • Update some structure field names with BH reference (breaking).
  • Parse some SetupBlock binary structures (#7).
  • Include more information in str(SdtFile).
  • Add subtype to FileRevision.

2024.11.24

  • Update MEASURE_INFO_EXT struct to SPCM v.9.9 (breaking).
Commits

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Summary by Sourcery

Update runtime dependencies.

Enhancements:

  • Update asteval from 1.0.2 to 1.0.6.
  • Update netcdf4 from 1.7.1.post1 to 1.7.2.
  • Update numba from 0.60.0 to 0.61.0.
  • Update numpy from 2.0.1 to 2.2.2.
  • Update pandas from 2.2.2 to 2.2.3.
  • Update pydantic from 2.8.2 to 2.10.6.
  • Update ruamel-yaml from 0.18.6 to 0.18.10.
  • Update scipy from 1.14.1 to 1.15.1.
  • Update sdtfile from 2024.5.24 to 2024.12.6.

Bumps the runtime-dependencies group with 9 updates in the / directory:

| Package | From | To |
| --- | --- | --- |
| [asteval](/~https://github.com/lmfit/asteval) | `1.0.2` | `1.0.6` |
| [netcdf4](/~https://github.com/Unidata/netcdf4-python) | `1.7.1.post1` | `1.7.2` |
| [numba](/~https://github.com/numba/numba) | `0.60.0` | `0.61.0` |
| [numpy](/~https://github.com/numpy/numpy) | `2.0.1` | `2.2.2` |
| [pandas](/~https://github.com/pandas-dev/pandas) | `2.2.2` | `2.2.3` |
| [pydantic](/~https://github.com/pydantic/pydantic) | `2.8.2` | `2.10.6` |
| ruamel-yaml | `0.18.6` | `0.18.10` |
| [scipy](/~https://github.com/scipy/scipy) | `1.14.1` | `1.15.1` |
| [sdtfile](/~https://github.com/cgohlke/sdtfile) | `2024.5.24` | `2024.12.6` |



Updates `asteval` from 1.0.2 to 1.0.6
- [Release notes](/~https://github.com/lmfit/asteval/releases)
- [Commits](lmfit/asteval@1.0.2...1.0.6)

Updates `netcdf4` from 1.7.1.post1 to 1.7.2
- [Release notes](/~https://github.com/Unidata/netcdf4-python/releases)
- [Changelog](/~https://github.com/Unidata/netcdf4-python/blob/master/Changelog)
- [Commits](/~https://github.com/Unidata/netcdf4-python/commits)

Updates `numba` from 0.60.0 to 0.61.0
- [Release notes](/~https://github.com/numba/numba/releases)
- [Commits](numba/numba@0.60.0...0.61.0)

Updates `numpy` from 2.0.1 to 2.2.2
- [Release notes](/~https://github.com/numpy/numpy/releases)
- [Changelog](/~https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v2.0.1...v2.2.2)

Updates `pandas` from 2.2.2 to 2.2.3
- [Release notes](/~https://github.com/pandas-dev/pandas/releases)
- [Commits](pandas-dev/pandas@v2.2.2...v2.2.3)

Updates `pydantic` from 2.8.2 to 2.10.6
- [Release notes](/~https://github.com/pydantic/pydantic/releases)
- [Changelog](/~https://github.com/pydantic/pydantic/blob/main/HISTORY.md)
- [Commits](pydantic/pydantic@v2.8.2...v2.10.6)

Updates `ruamel-yaml` from 0.18.6 to 0.18.10

Updates `scipy` from 1.14.1 to 1.15.1
- [Release notes](/~https://github.com/scipy/scipy/releases)
- [Commits](scipy/scipy@v1.14.1...v1.15.1)

Updates `sdtfile` from 2024.5.24 to 2024.12.6
- [Release notes](/~https://github.com/cgohlke/sdtfile/releases)
- [Changelog](/~https://github.com/cgohlke/sdtfile/blob/master/CHANGES.rst)
- [Commits](cgohlke/sdtfile@v2024.5.24...v2024.12.6)

---
updated-dependencies:
- dependency-name: asteval
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: runtime-dependencies
- dependency-name: netcdf4
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: runtime-dependencies
- dependency-name: numba
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: runtime-dependencies
- dependency-name: numpy
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: runtime-dependencies
- dependency-name: pandas
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: runtime-dependencies
- dependency-name: pydantic
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: runtime-dependencies
- dependency-name: ruamel-yaml
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: runtime-dependencies
- dependency-name: scipy
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: runtime-dependencies
- dependency-name: sdtfile
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: runtime-dependencies
...

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@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Jan 24, 2025
@dependabot dependabot bot requested review from a team as code owners January 24, 2025 19:36
@dependabot dependabot bot requested review from jsnel and s-weigand January 24, 2025 19:36
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sourcery-ai bot commented Jan 24, 2025

Reviewer's Guide by Sourcery

This pull request updates multiple runtime dependencies in the / directory. The updates include bug fixes, performance improvements, and new features. The most significant updates are to numpy and pydantic.

No diagrams generated as the changes look simple and do not need a visual representation.

File-Level Changes

Change Details Files
Updated asteval from 1.0.2 to 1.0.6.
  • Dropped support for Python 3.8.
  • Added support for Python 3.13.
  • Implemented safe_getattr and safe_format functions.
  • Improved error messages.
  • Removed import of numpy.linalg.
pyproject.toml
requirements_pinned.txt
Updated netcdf4 from 1.7.1.post1 to 1.7.2.
  • Added support for os.PathLike arguments for Dataset.fromcdl.
  • Raised more informative error when trying to iterate or perform a membership operation on a Dataset.
  • Fixed type hint for createEnumType.
  • Added python 3.13 to windows wheel builds.
  • Added static type hints.
  • Exposed nc_rc_set, nc_rc_get.
  • Added Variable.get_fill_value.
  • Fixed NETCDF3 endian error.
pyproject.toml
requirements_pinned.txt
Updated numba from 0.60.0 to 0.61.0.
  • Added Python 3.13 support.
  • Added NumPy 2.1 support.
pyproject.toml
requirements_pinned.txt
Updated numpy from 2.0.1 to 2.2.2.
  • Fixed void arrays not accepting str keys in setitem.
  • Fixed unnecessarily broad integer binop return types.
  • Improved ndarray binop return types for float64.
  • Returned the correct bool from issubdtype.
  • Fixed auxdata initialization in ufunc slow path.
  • Fixed f2py directives and --lower casing.
  • Preserved shape-type in ndarray.astype().
pyproject.toml
requirements_pinned.txt
Updated pandas from 2.2.2 to 2.2.3.
  • Relaxed cython bound.
  • Built wheels for Python 3.13 on aarch64.
  • Fixed bad Cython annotation.
pyproject.toml
requirements_pinned.txt
Updated pydantic from 2.8.2 to 2.10.6.
  • Fixed JSON Schema reference collection with 'examples' keys.
  • Fixed url python serialization.
  • Removed custom MRO implementation of Pydantic models.
  • Fixed URL serialization for unions.
  • Fixed comparison of AnyUrl objects.
  • Properly fetched PEP 695 type params for functions.
  • Included JSON Schema input core schema in function schemas.
  • Added len to _BaseUrl to avoid TypeError.
pyproject.toml
requirements_pinned.txt
Updated ruamel-yaml from 0.18.6 to 0.18.10. pyproject.toml
requirements_pinned.txt
Updated scipy from 1.14.1 to 1.15.1.
  • Fixed an issue with the import of scipy.optimize breaking other packages.
  • Sparse arrays are now fully functional for 1-D and 2-D arrays.
  • Sparse arrays now provide basic support for n-D arrays in the COO format.
pyproject.toml
requirements_pinned.txt
Updated sdtfile from 2024.5.24 to 2024.12.6.
  • Fixed read MeasureInfo fields as scalars.
  • Updated some structure field names with BH reference.
  • Parsed some SetupBlock binary structures.
  • Included more information in str(SdtFile).
  • Added subtype to FileRevision.
pyproject.toml
requirements_pinned.txt

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We have skipped reviewing this pull request. It seems to have been created by a bot (hey, dependabot[bot]!). We assume it knows what it's doing!

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Binder 👈 Launch a binder notebook on branch glotaran/pyglotaran/dependabot/pip/staging/runtime-dependencies-cd199b818a

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dependabot bot commented on behalf of github Feb 14, 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 rebase.

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