chore: bump polars from 1.38.0 to 1.39.0

[dependabot]

Bumps polars from 1.38.0 to 1.39.0.

Release notes

Sourced from polars's releases.

Python Polars 1.39.0

🚀 Performance improvements

• Lower arg_{min,max} to streaming engine (#26845)
• Additional IR slice pushdown after filter pushdown (#26815)
• Streaming first/last on Enum through physical (#26783)
• Fast filter for scalar predicates (#26745)
• Allow SimpleProjection in streaming engine to rename (#26709)
• Streaming cloud download for scan_csv (#26637)
• Drop columns only needed for predicates after the predicate is applied (#26703)
• Run projection pushdown after predicate pushdown (#26688)
• Comparison literal downcasting (#26663)
• Add dynamic predicates for TopK (#26495)
• Increase minimum default parquet row group prefetch to 8 (#26632)
• Partial predicate conversion to PyArrow (#26567)
• Streaming cloud download for scan_ndjson / scan_lines (#26563)
• Grab GIL fewer times during Object join materialization (#26587)
• Improve CSV and NDJSON cloud sink performance (#26545)
• Tune cloud writer performance (#26518)
• Allow parallel InMemorySinks in streaming engine (#26501)
• Add streaming AsOf join node (#26398)
• Don't always rechunk on gather of nested types (#26478)

✨ Enhancements

• Support Expr for holidays in business day calculations (#26193)
• Parameter for pivot to always include value column name (#26730)
• Raise error in .collect_schema() when arr.get() is out-of-bounds (#26866)
• Extend Expr.reinterpret to all numeric types of the same size (#26401)
• Add missing_columns parameter to scan_csv (#26787)
• Clear no-op scan projections (#26858)
• Support nested datatypes for {min,max}_by (#26849)
• Support SQL ARRAY init from typed literals (#26622)
• Accept table identifier string in scan_iceberg() (#26826)
• Add a convenience make fresh command to the Makefile (#26809)
• Expose "use_zip64" Workbook option for write_excel (#26699)
• Add unstable LazyFrame.sink_iceberg (#26799)
• Add maintain order argument on implode (#26782)
• Speed up casting primitive to bool by at least 2x (#26823)
• Support ASCII format table input to pl.from_repr (#26806)
• Enable rowgroup skipping for float columns (#26805)
• Add expression context to errors (#26716)
• Add Decimal support for product reduction (#26725)
• Support all Iceberg V2 arrow types in sink_parquet arrow_schema parameter (#26669)
• Re-work behavior of arrow_schema parameter on sink_parquet (#26621)
• Add contains_dtype() method for Schema (#26661)
• Implement truncate as a "to_zero" rounding mode (#26677)
• More generic streaming GroupBy lowering (#26696)
• Create an Alignment TypeAlias (#26668)
• Add basic MemoryManager to track buffered dataframes for out-of-core support later (#26443)

... (truncated)

Commits

• 2bce04a chore: Use large linux-arm runner for release (#26898)
• d764326 Python Polars 1.39.0 (#26891)
• 3ebdb3a fix: Prevent Boolean arithmetic with integer literals producing Unknown t...
• fc24eea fix: Fix sink to partitioned S3 from Windows corrupted slashes (#26889)
• 9a78aa1 fix: Remove outdated warning about List columns in unique() (#26295) (#26890)
• d310d96 fix: Restore pyarrow predicate conversion for is_in (#26811)
• 9398fe9 fix: Release GIL before df.to_ndarray() to avoid deadlock (#26832)
• 7e1b813 fix: Fix panic on CSV count_rows with FORCE_ASYNC (#26883)
• f380d60 feat: Support Expr for holidays in business day calculations (#26193)
• 13f88c6 fix: Add scalar comparisons for UInt128 series (#26886)
• Additional commits viewable in compare view

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