Chore(deps): Update polars[pyarrow] requirement from <1.10 to <1.11

[dependabot]

Updates the requirements on polars[pyarrow] to permit the latest version.

Release notes

Sourced from polars[pyarrow]'s releases.

Python Polars 1.10.0

🚀 Performance improvements

• Add/fix unordered row decode, change unordered format (#19284)
• Fast decision for Parquet dictionary encoding (#19256)
• Make date_range / datetime_range ~10x faster for constant durations (#19216)
• Batch utf8-validation in csv 18% / 25% on 1.9.0 (#19124)
• Use two-pass algorithm for csv to ensure correctness and SIMDize more ~17% (#19088)

✨ Enhancements

• Add SQL support for bit_count and bitwise &, |, and xor operators (#19114)
• Add credential provider utility classes for AWS, GCP (#19297)
• Support decoding Float16 in Parquet (#19278)
• Experimental credential_provider argument for scan_parquet (#19271)
• Allow DeltaTable input to scan_delta and read_delta (#19229)
• New quantile interpolation method & QUANTILE_DISC function in SQL (#19139)
• Conserve Parquet SortingColumns for ints (#19251)
• Low level flight interface (#19239)
• Improved list arithmetic support (#19162)
• Add Expr.struct.unnest() as alias for Expr.struct.field("*") (#19212)
• Add 'drop_empty_rows' parameter for read_ods (#19202)
• Add 'drop_empty_rows' parameter for read_excel (#18253)
• Expose LTS CPU in show_versions() (#19193)
• Check Python version when deserializing UDFs (#19175)
• Raise an error when users try to use Polars API in a fork()-without-execve() child (#19149)
• Quantile function in SQL (#18047)
• Improve scalar strict message (#19117)
• Add Series::{first, last, approx_n_unique} (#19093)
• Allow for rolling_*_by to use index count as window (#19071)
• Delay deserialization of python function until physical plan (#19069)
• Add cum(_min/_max) for pl.Boolean (#19061)

🐞 Bug fixes

• Don't produce duplicate column names in Series.to_dummies (#19326)
• Use of HAVING outside of GROUP BY should raise a suitable SQLSyntaxError (#19320)
• More accurate from_dicts typing/signature (#19322)
• Fix empty array gather (#19316)
• Merge categorical rev-map in unpivot (#19313)
• DataFrame descending sorting by single list element (#19233)
• Fix cse union schema (#19305)
• Correctly load Parquet statistics for f16 (#19296)
• Error on invalid query (#19303)
• Fix enum scalar output (#19301)
• Fix list gather invalid fast path (#19299)
• Fix quoting style of decimal csv output (#19298)
• Don't vertically parallelize literal select (#19295)
• Fix struct reshape fast path (#19294)
• Also split on forward slashes during hive path inference on Windows (#19282)

... (truncated)

Commits

• f3eba22 python Polars 1.10.0 (#19328)
• 08732c4 feat: Add SQL support for bit_count and bitwise &, |, and xor operato...
• 94b7e89 fix: Don't produce duplicate column names in Series.to_dummies (#19326)
• 463ed66 docs: Remove ecosystem viz section since there is one in misc already (#18408)
• 5b44a96 fix: Use of HAVING outside of GROUP BY should raise a suitable SQLSyntaxE...
• b60b4bf fix(python): More accurate from_dicts typing/signature (#19322)
• dbc8368 refactor: Fix csv offset (#19319)
• bfdd496 fix: Fix empty array gather (#19316)
• 46edcd8 fix: Merge categorical rev-map in unpivot (#19313)
• f88bd6a refactor(rust): Purge arrow-rs support (#19312)
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[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 97.56%. Comparing base (eb9e84b) to head (5841d93).
Report is 3 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main      #93   +/-   ##
=======================================
  Coverage   97.56%   97.56%           
=======================================
  Files           3        3           
  Lines          41       41           
=======================================
  Hits           40       40           
  Misses          1        1           

Flag	Coverage Δ
unittests	97.56% <ø> (ø)

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