Chore(deps): Update polars[pyarrow] requirement from <1.32 to <1.33

[dependabot]

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

Release notes

Sourced from polars[pyarrow]'s releases.

Python Polars 1.32.0

🏆 Highlights

• Make Selector a concrete part of the DSL (#23351)
• Rework Categorical/Enum to use (Frozen)Categories (#23016)

🚀 Performance improvements

• Lower Expr.slice to streaming engine (#23683)
• Elide bound check (#23653)
• Preserve Column repr in ColumnTransform operations (#23648)
• Lower any() and all() to streaming engine (#23640)
• Lower row-separable functions in streaming engine (#23633)
• Lower int_range(len()) to with_row_index (#23576)
• Avoid double field resolution in with_columns (#23530)
• Rolling quantile lower time complexity (#23443)
• Use single-key optimization with Categorical (#23436)
• Improve null-preserving identification for boolean functions (#23317)
• Improve boolean bitwise aggregate performance (#23325)
• Enable Parquet expressions and dedup is_in values in Parquet predicates (#23293)
• Re-write join types during filter pushdown (#23275)
• Generate PQ ZSTD decompression context once (#23200)
• Trigger cache/cse optimizations when multiplexing (#23274)
• Cache FileInfo upon DSL -> IR conversion (#23263)
• Push more filters past joins (#23240)
• Optimize Bitmap::make_mut (#23138)

✨ Enhancements

• Add Python-side caching for credentials and provider auto-initialization (#23736)
• Expand on DataTypeExpr (#23249)
• Lower row-separable functions in streaming engine (#23633)
• Add scalar checks to range expressions (#23632)
• Expose POLARS_DOT_SVG_VIEWER to automatically dispatch to SVG viewer (#23592)
• Implement mean function in arr namespace (#23486)
• Implement vec_hash for List and Array (#23578)
• Add unstable pl.row_index() expression (#23556)
• Add Categories on the Python side (#23543)
• Implement partitioned sinks for the in-memory engine (#23522)
• Raise and Warn on UDF's without return_dtype set (#23353)
• IR pruning (#23499)
• Support min/max reducer for null dtype in streaming engine (#23465)
• Implement streaming Categorical/Enum min/max (#23440)
• Allow cast to Categorical inside list.eval (#23432)
• Support pathlib.Path as source for read/scan_delta() (#23411)
• Enable default set of ScanCastOptions for native scan_iceberg() (#23416)
• Pass payload in ExprRegistry (#23412)
• Support reading nanosecond/Int96 timestamps and schema evolved datasets in scan_delta() (#23398)
• Support row group skipping with filters when cast_options is given (#23356)
• Execute bitwise reductions in streaming engine (#23321)

... (truncated)

Commits

• c57de4b refactor(python): Remove unused functions from the rust side (#23757)
• a7081b6 ci: Add hashes json (#23758)
• c07a76a Python Polars 1.32 pre-release (#23750)
• 775e0be fix(python): Load _expiry_time from botocore Credentials in CredentialPro...
• 257714d feat(python): Add Python-side caching for credentials and provider auto-initi...
• f576f7e fix: Fix credential refresh logic (#23730)
• 03c772c chore: Add AExpr::is_expr_equal_to (#23740)
• 0039575 fix: Fix to_datetime() fallible identification (#23735)
• 226a8a2 fix: Correct output datatype for dt.with_time_unit (#23734)
• 2970c00 fix: Fix incorrect native Iceberg scan from tables with renamed/dropped colum...
• Additional commits viewable in compare view

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