chore(deps): bump the scratchpad group in /scratchpad with 2 updates

[dependabot]

Bumps the scratchpad group in /scratchpad with 2 updates: polars and numpy.

Updates polars from 1.16.0 to 1.17.0

Release notes

Sourced from polars's releases.

Python Polars 1.17.0

🚀 Performance improvements

• Add fast paths for series.arg_sort and dataframe.sort (#19872)
• Much faster Series construction from subclasses of standard Python types (#20166)
• Utilize the RangedUniqueKernel for Enum/Categorical (#20150)
• Reduce memory copy when scanning from Python objects (#20142)
• Construct Series for bytes/binary data 10x faster when dtype not explicitly set (#20157)
• Don't instantiate validity mask when unneeded in Parquet (#20149)

✨ Enhancements

• Retry with reloaded credentials on cloud error (#20185)
• Support reading Enum dtype from csv (#20188)
• Improve dtype inference and load for DataFrame cols constructed from Python Enum values (#20180)
• Allow sorting of lists and arrays (#20169)
• Add maintain_order parameter to joins (#20026)
• Allow for to_datetime / strftime to automatically parse dates with single-digit hour/minute/second (#20144)
• Issue warning when using to_struct() without a list of field names (#20158)
• Experimental cloud write support (#20129)
• Add lazy support for pl.select (#20091)
• Enable view arrow export in write_delta (#20092)

🐞 Bug fixes

• Don't trigger length check in array construction (#20205)
• Allow row encoding for 32-bit architectures (e.g. WASM) (#20186)
• Properly project unordered column in parquet prefiltered (#20189)
• Csv stop simd cache if eol char is hit (#20199)
• Estimated size for object (#20191)
• Respect parallel argument in parquet (#20187)
• Only validate UTF-8 for selected items when all below len 128 (#20183)
• Serialize categories of Enum in arrow metadata (#20181)
• Don't use RLE encoding for Parquet Boolean (#20172)
• Invalid bitwise_xor for ScalarColumn (#20140)
• Series construct with large nested u64 (#20167)
• Add temporal feature gate in is_elementwise_top_level (#20177)
• Column name mismatch or not found in Parquet scan with filter (#20178)
• Raise if apply returns different types (#20168)
• Deal with masked out list elements (#20161)
• Fix index out of bounds in uniform_hist_count (#20133)
• Implement arg_sort for Null series (#20135)
• Handle slice pushdown in PythonUDF GroupBy (#20132)
• Check shape for *_horizontal functions (#20130)
• Properly coerce types in lists (#20126)
• Incorrect aggregation of empty groups after slice (#20127)
• DataFrame .get_column after drop_in_place (#20120)
• Subtraction with underflow on empty FixedSizeBinaryArray (#20109)
• Materialize smallest dyn ints to use feature gate for i8/i16 (#20108)
• Return null instead of 0. for rolling_std when window contains a single element and ddof=1 and there are nulls elsewhere in the Series (#20077)

... (truncated)

Commits

• 5f6bc77 python Polars 1.17.0 (#20212)
• 0269f64 docs: Add more Rust examples to User Guide (#20194)
• d4bab3f fix: Don't trigger length check in array construction (#20205)
• 958d1ef docs: Expand plotting docs (#19719)
• a6ca94d perf: Add fast paths for series.arg_sort and dataframe.sort (#19872)
• 8abc550 refactor: Deprecate ddof parameter for correlation coefficient (#20197)
• c92612a fix: Allow row encoding for 32-bit architectures (e.g. WASM) (#20186)
• 430bb4d fix: Properly project unordered column in parquet prefiltered (#20189)
• fdaf517 feat: Retry with reloaded credentials on cloud error (#20185)
• 19939ae refactor: Move Bitwise aggregations to FunctionExpr (#20193)
• Additional commits viewable in compare view

Updates numpy from 2.1.3 to 2.2.0

Release notes

Sourced from numpy's releases.

2.2.0 (Dec 8, 2024)

NumPy 2.2.0 Release Notes

The NumPy 2.2.0 release is quick release that brings us back into sync with the usual twice yearly release cycle. There have been an number of small cleanups, as well as work bringing the new StringDType to completion and improving support for free threaded Python. Highlights are:

• New functions matvec and vecmat, see below.
• Many improved annotations.
• Improved support for the new StringDType.
• Improved support for free threaded Python
• Fixes for f2py

This release supports Python versions 3.10-3.13.

Deprecations

• _add_newdoc_ufunc is now deprecated. ufunc.__doc__ = newdoc should be used instead.

  (gh-27735)

Expired deprecations

• bool(np.array([])) and other empty arrays will now raise an error. Use arr.size > 0 instead to check whether an array has no elements.

  (gh-27160)

Compatibility notes

• numpy.cov now properly transposes single-row (2d array) design matrices when rowvar=False. Previously, single-row design matrices would return a scalar in this scenario, which is not correct, so this is a behavior change and an array of the appropriate shape will now be returned.

  (gh-27661)

New Features

• New functions for matrix-vector and vector-matrix products

  Two new generalized ufuncs were defined:

  • numpy.matvec - matrix-vector product, treating the arguments as stacks of matrices and column vectors,

... (truncated)

Commits

• e7a123b Merge pull request #27928 from charris/prepare-2.2.0
• d97d071 MAINT: Try fixing MacOS cirrus build failures. [wheel build]
• 1ed7b67 REL: Prepare for the NumPy 2.2.0 release [wheel build]
• fd9e7ef Merge pull request #27916 from charris/backport-27915
• 2e0941f MAINT: Bump actions/cache from 4.1.2 to 4.2.0
• 013656d Merge pull request #27912 from charris/backport-27877
• 7895ba6 Merge pull request #27913 from charris/backport-27896
• ee8d1cd PERF: improve multithreaded ufunc scaling (#27896)
• 77fff6b ENH: Refactor __qualname__ across API (#27877)
• b30a338 Merge pull request #27911 from charris/backport-27891
• Additional commits viewable in compare view

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