build(deps): bump the production group with 3 updates

[dependabot]

Bumps the production group with 3 updates: numpy, polars and transformers.

Updates numpy from 2.2.1 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)

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 polars from 1.19.0 to 1.21.0

Release notes

Sourced from polars's releases.

Python Polars 1.21.0

🚀 Performance improvements

• Use BitmapBuilder in yet more places (#20868)
• Make an owned version of append (#20800)
• Use BitmapBuilder in a lot more places (#20776)

✨ Enhancements

• Stabilize methods/functions (#20850)
• Add linear_space (#20678)
• Improve string → temporal parsing in read_excel and read_ods (#20845)
• Implement df.unique() on new-streaming engine (#20875)
• Experimental credential provider support for Delta read/scan/write (#20842)
• Allow column expressions in DataFrame unnest (#20846)
• Auto-initialize Python credential providers in more cases (#20843)
• Add unique operations for Decimal dtype (#20855)
• Add NDJson sink for the new streaming engine (#20805)
• Support nested keys in window functions (#20837)
• Add CSV sink for the new streaming engine (#20804)
• Periodically check python signals ('CTRL-C' handling) (#20826)
• Experimental unity catalog client (#20798)
• Support cumulative aggregations for Decimal dtype (#20802)
• Account for SurrealDB Python API updates (handle both SurrealDB and AsyncSurrealDB classes) in read_database (#20799)
• Drop nest-asyncio in favor of custom logic (#20793)
• Improve window function caching strategy (#20791)
• Support lakefs:// URI for delta scanner (#20757)
• Additional support for loading numpy.float16 values (as Float32) (#20769)

🐞 Bug fixes

• Warn if asof keys not sorted (#20887)
• Ensure explicit values given to column_widths override autofit in write_excel (#20893)
• Avoid name collisions and panicking in object conversion (#20890)
• Incorrect scale used in log and exp for Decimal type (#20888)
• Don't deep clone manuallydrop in GroupsPosition (#20886)
• Fix DuplicateError when selecting columns after join_where or cross join + filter (#20865)
• Incorrect Decimal value for fill_null(strategy="one") (#20844)
• Fix one edge case (out of many) of int128 literals not working (#20830)
• Add height check to frame-level row indexing when key is int (#20778)
• Remove assert that panics on group_by followed by head(n), where n is larger then the frame height (#20819)
• Selectors should raise on + between themselves (#20825)
• Fix panic InvalidHeaderValue scanning from S3 on Windows (#20820)
• Fix clip for Decimal returning wrong values (#20814)
• Incorrect height from slicing after projecting only the file path column (#20817)
• Shift mask when skipping Bitpacked values in Parquet (#20810)
• Error instead of truncate if length mismatch for several str functions (#20781)
• Support cumulative aggregations for Decimal dtype (#20802)
• Allow is_in values to be given as custom Collection (#20801)
• Propagate null instead of panicking in pl.repeat_by() (#20787)

... (truncated)

Commits

• 1993d59 ci: Disable 'catalog' in build (#20897)
• d6f975c Python Polars 1.21.0 (#20895)
• 7bf42dd feat(python): Stabilize methods/functions (#20850)
• 332bd7d chore: Implement negative slice for new streaming IPC (#20866)
• 8b5b05a fix: Warn if asof keys not sorted (#20887)
• 884feeb fix(python): Ensure explicit values given to column_widths override autofi...
• c465164 feat: Add linear_space (#20678)
• e98e09b refactor(rust): Remove last instances of itoa (#20881)
• 22c7879 refactor(rust): Reduce bloat in static_array_collect by using BitmapBuilders ...
• 45b8e8b refactor(rust): Use defunctionalization in polars-core scalar.rs in order to ...
• Additional commits viewable in compare view

Updates transformers from 4.48.0 to 4.48.2

Release notes

Sourced from transformers's releases.

Patch release v4.48.2

Sorry because the fixes for num_items_in_batches are not done yet 😓 To follow along see this PR, a new patch will be available soon!

Now, we mostly had BC issue with python version 3.9:

• Restore is_torch_greater_or_equal_than for backward compatibility (#35734) by @​tlrmchlsmth
• Fix NoneType type as it requires py>=3.10 (#35843) by @​SunMarc

Then we had a small regression for DBRX saving:

• Fix: loading DBRX back from saved path (#35728) by @​zucchini-nlp

Finally we have a fix for gemma and the hybrid attention architectures:

• Fix mask slicing for models with HybridCache #35681 by @​Cyrilvallez

Miscellaneous:

• Fix is_causal being a tensor (#35791) by @​IlyasMoutawwakil

Patch release v4.48.1

Yet again we are dawned with a gradient accumulation fix! There is also a refactoring of the attention that let a small typo in, we made sure PHI is no longer broken!

Moonshine had a small issue when wrapping generate so we removed that!

• [Phi] bias should be True (#35650) @​ArthurZucker
• Fix condition when GA loss bug fix is not performed (#35651) @​techkang
• Patch moonshine (#35731) @​eustlb

🤗

Commits

• b673c16 Fix mask slicing for models with HybridCache (#35681)
• aa3e590 Update squad_convert_example_to_features to work with numpy v2 (#35955)
• f3fad57 v4.48.2
• e5f88ae Fix is_causal being a tensor (#35791)
• 163c8bb Fix: loading DBRX back from saved path (#35728)
• b17abf9 Fix NoneType type as it requires py>=3.10 (#35843)
• f7b6047 Restore is_torch_greater_or_equal_than for backward compatibility (#35734)
• 2e752ea revert my changes
• 785b5cf v4.48.1
• 3b09464 Patch moonshine (#35731)
• Additional commits viewable in compare view

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[github-actions]

🦙 MegaLinter status: ✅ SUCCESS

Descriptor	Linter	Files	Fixed	Errors	Elapsed time
✅ REPOSITORY	git_diff	yes		no	0.28s

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[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 95.22%. Comparing base (786bbe7) to head (0842b8e).
Report is 18 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main     #989   +/-   ##
=======================================
  Coverage   95.22%   95.22%           
=======================================
  Files         135      135           
  Lines        8145     8145           
=======================================
  Hits         7756     7756           
  Misses        389      389           

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[lars-reimann]

🎉 This PR is included in version 0.30.0 🎉

The release is available on:

• v0.30.0
• GitHub release

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