Bump polars from 0.35.4 to 0.38.0

[dependabot[bot]]

Bumps polars from 0.35.4 to 0.38.0.

Release notes

Sourced from polars's releases.

Rust Polars 0.38.0

🏆 Highlights

• fast path for COUNT(*) queries (#14574)
• Implemented tree formatting for LogicalPlan (#14221)

💥 Breaking changes

• Infer values columns in DataFrame.pivot when values is None (#14477)
• Mark DataFrame::new_no_checks and DataFrame::new_no_length_checks unsafe (#14443)
• Remove DatetimeChunked::convert_time_zone (#14046)
• Rename LiteralValue::to_anyvalue to LiteralValue::to_any_value (#14033)

🚀 Performance improvements

• auto-tune concurrency budget (#14753)
• Don't materialize for broadcasting fill_null value and default value of replace (#14736)
• Improve performance of boolean filters 1-100x. (#14746)
• fix accidental quadratic utf8 validation in parquet (#14705)
• fast path for COUNT(*) queries (#14574)
• Elide the total order wrapper for non-(float/option) types (#14648)
• add utf8-validation fast paths for utf8view (#14644)
• don't reassign chunks back to df owner (#14633)
• If there are many small chunks in write_parquet(), convert to a single chunk (#14484) (#14487)
• Polars thread pool was not used properly in various functions (#14583)
• use owned arithmetic in horizontal_sum (#14525)
• Combine small chunks in sinks for streaming pipelines (#14346)
• reduce heap allocs in expression/logical-plan iteration (#14440)
• simplify and speed up cum_sum and cum_prod (#14409)
• simplify negated predicates to improve row groups skipping (#14370)
• prune parquet row groups when is_not_null is used (#14260)
• use is_between to skip parquet row groups (#14244)
• Use a compression API that is designed for this use case (#11699) (#14194)
• Use UnitVec in polars-plan traversal (#14199)
• use UnitVec in streaming joins (#14197)
• improve ChunkId (#14175)
• improve iteration performance (#14126)
• elide unneeded work in window? (#14108)
• run window functions more in parallel (#14095)
• improve skip row group using statistics condition (#14056)

✨ Enhancements

• Change default for maximum number of Series items printed to 10 to match DataFrame (#14703)
• Infer values columns in DataFrame.pivot when values is None (#14477)
• fast path for COUNT(*) queries (#14574)
• let rolling accept index_column of type UInt32 or UInt64 (#14669)
• Treat float -0.0 == 0.0 and -NaN == NaN in group-by, joins and unique (#14617)
• Properly cache object-stores (#14598)
• Mark DataFrame::new_no_checks and DataFrame::new_no_length_checks unsafe (#14443)

... (truncated)

Commits

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