Bump polars from 1.33.1 to 1.35.0

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---

Bumps polars from 1.33.1 to 1.35.0.

Release notes

Sourced from polars's releases.

Python Polars 1.35.0

🏆 Highlights

• Stabilize decimal (#25020)

🚀 Performance improvements

• Bump foldhash to 0.2.0 and hashbrown to 0.16.0 (#25014)
• Lower unique to native group-by and speed up n_unique in group-by context (#24976)
• Better parallelize take{_slice,}_unchecked (#24980)
• Implement native skew and kurtosis in group-by context (#24961)
• Use native group-by aggregations for bitwise_* operations (#24935)
• Address group_by_dynamic slowness in sparse data (#24916)
• Push filters to PyIceberg (#24910)
• Native filter/drop_nulls/drop_nans in group-by context (#24897)
• Implement cumulative_eval using the group-by engine (#24889)
• Prevent generation of copies of Dataframes in DslPlan serialization (#24852)
• Implement native null_count, any and all group-by aggregations (#24859)
• Speed up reverse in group-by context (#24855)
• Prune unused categorical values when exporting to arrow/parquet/IPC/pickle (#24829)
• Don't check duplicates on streaming simple projection in release mode (#24830)
• Lower approx_n_unique to the streaming engine (#24821)
• Duration/interval string parsing optimisation (2-5x faster) (#24771)
• Use native reducer for first/last on Decimals, Categoricals and Enums (#24786)
• Implement indexed method for BitMapIter::nth (#24766)
• Pushdown slices on plans within unions (#24735)

✨ Enhancements

• Stabilize decimal (#25020)
• Support ewm_mean() in streaming engine (#25003)
• Improve row-count estimates (#24996)
• Remove filtered scan paths in IR when possible (#24974)
• Introduce remote Polars MCP server (#24977)
• Allow local scans on polars cloud (configurable) (#24962)
• Add Expr.item to strictly extract a single value from an expression (#24888)
• Add environment variable to roundtrip empty struct in Parquet (#24914)
• Fast-count for scan_iceberg().select(len()) (#24602)
• Add glob parameter to scan_ipc (#24898)
• Prevent generation of copies of Dataframes in DslPlan serialization (#24852)
• Add list.agg and arr.agg (#24790)
• Implement {Expr,Series}.rolling_rank() (#24776)
• Don't require PyArrow for read_database_uri if ADBC engine version supports PyCapsule interface (#24029)
• Make Series init consistent with DataFrame init for string values declared with temporal dtype (#24785)
• Support MergeSorted in CSPE (#24805)
• Duration/interval string parsing optimisation (2-5x faster) (#24771)
• Recursively apply CSPE (#24798)
• Add streaming engine per-node metrics (#24788)
• Add arr.eval (#24472)
• Drop PyArrow requirement for non-batched usage of read_database with the ADBC engine and support iter_batches with the ADBC engine (#24180)

... (truncated)

Commits

• e9fce55 build: Don't require file existence
• b51b5e2 build: Ensure build_feature_flags.py is included in artifact (#25024)
• cb447fd Revert "ci: Fix benchmark ci" (#25023)
• 1257df0 feat(python): Stabilize decimal (#25020)
• 5cc9b1a Python Polars 1.35 (#25017)
• c94b525 ci: Fix benchmark ci (#25019)
• a765e92 fix: Re-enable CPU feature check before import (#25010)
• f48394c feat: Support ewm_mean() in streaming engine (#25003)
• 61f6558 fix(python): Implement read_excel workaround for fastexcel/calamine issue l...
• 716d550 perf: Bump foldhash to 0.2.0 and hashbrown to 0.16.0 (#25014)
• Additional commits viewable in compare view

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[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 96.98%. Comparing base (0ced6d7) to head (ba563f3).
⚠️ Report is 2 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main     #618   +/-   ##
=======================================
  Coverage   96.98%   96.98%           
=======================================
  Files          42       42           
  Lines        1094     1094           
=======================================
  Hits         1061     1061           
  Misses         33       33           

Flag	Coverage Δ
unittests	96.98% <ø> (ø)

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