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paucablop / chemotools

Integrate your chemometric tools with the scikit-learn API 🧪 🤖
https://paucablop.github.io/chemotools/
MIT License
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chore(deps): bump polars from 0.20.16 to 0.20.25 #113

Closed dependabot[bot] closed 4 months ago

dependabot[bot] commented 4 months ago

Bumps polars from 0.20.16 to 0.20.25.

Release notes

Sourced from polars's releases.

Python Polars 0.20.25

🐞 Bug fixes

  • Improve error handling of ParameterCollisionError in read_excel (#16100)

Thank you to all our contributors for making this release possible! @​nameexhaustion, @​ritchie46 and @​wsyxbcl

Python Polars 0.20.24

🏆 Highlights

  • Support pytorch Tensor and Dataset export with new to_torch DataFrame/Series method (#15931)

🚀 Performance improvements

  • Don't traverse deep datasets that we repr as union in CSE (#16096)
  • Ensure better chunk sizes (#16071)

✨ Enhancements

  • split out rolling_*(..., by='foo') into rolling_*_by('foo', ...) (#16059)
  • add date pattern dd.mm.YYYY (#16045)
  • split Expr.top_k and Expr.top_k_by into separate functions (#16041)
  • Support non-coalescing joins in default engine (#16036)
  • Support pytorch Tensor and Dataset export with new to_torch DataFrame/Series method (#15931)
  • Minor DB type inference updates (#16030)
  • Move diagonal & horizontal concat schema resolving to IR phase (#16034)
  • raise more informative error messages in rolling_* aggregations instead of panicking (#15979)
  • Convert concat during IR conversion (#16016)
  • Improve dynamic supertypes (#16009)
  • Additional uint datatype support for the SQL interface (#15993)
  • Add post-optimization callback (#15972)
  • Support Decimal read from IPC (#15965)
  • Expose plan and expression nodes through NodeTraverser to Python (#15776)
  • Add typed collection from par iterators (#15961)
  • Add by argument for Expr.top_k and Expr.bottom_k (#15468)

🐞 Bug fixes

  • Respect user passed 'reader_schema' in 'scan_csv' (#16080)
  • Lazy csv + projection; respect null values arg (#16077)
  • Materialize dtypes when converting to arrow (#16074)
  • Fix casting decimal to decimal for high precision (#16049)
  • Fix Series constructor failure for Array types for large integers (#16050)
  • Fix printing max scale decimals (#16048)
  • Decimal supertype for dyn int (#16046)
  • Correctly handle large timedelta objects in Series constructor (#16043)
  • Do not close connection just because we're not returning Arrow data in batches (#16031)
  • properly handle nulls in DictionaryArray::iter_typed (#16013)
  • Fix CSE case where upper plan has no projection (#16011)

... (truncated)

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dependabot[bot] commented 4 months ago

Superseded by #115.