Bump pandera[mypy] from 0.18.3 to 0.19.3

[dependabot[bot]]

Bumps pandera[mypy] from 0.18.3 to 0.19.3.

Release notes

Sourced from pandera[mypy]'s releases.

Release 0.19.3: Polars dtype bugfixes

What's Changed

• bugfix: timezone-agnostic datetime in polars works in DataFrameModel by @​cosmicBboy #1638
• Bugfix/1631: Series[Annotated[...]] DataFrameModel types should correctly create a DataFrameSchema by @​cosmicBboy in unionai-oss/pandera#1633
• Add missing pandas import line. by @​kyleweise in unionai-oss/pandera#1635

New Contributors

• @​kyleweise made their first contribution in unionai-oss/pandera#1635

Full Changelog: https://github.com/unionai-oss/pandera/compare/v0.19.2...v0.19.3

Release v0.19.2: Bugfix on correctly checking nullable Floats

What's Changed

• bugfix: nullable check float dtype handles nan and null by @​cosmicBboy in unionai-oss/pandera#1627

Full Changelog: https://github.com/unionai-oss/pandera/compare/v0.19.1...v0.19.2

Release 0.19.1: Bugfixes and docs fixes

What's Changed

• Bugfix/1616: Polars data container validation by @​cstabnick in unionai-oss/pandera#1623
• use google colab instead of jupyterlite by @​cosmicBboy in unionai-oss/pandera#1618

New Contributors

• @​cstabnick made their first contribution in unionai-oss/pandera#1623

Full Changelog: https://github.com/unionai-oss/pandera/compare/v0.19.0...v0.19.1

Release 0.19.0: Polars validation support

✨ Highlights ✨

📣 Pandera now supports validation of polars.DataFrame and polars.LazyFrame 🐻‍❄️!

You can now do this:

import pandera.polars as pa
import polars as pl
class Schema(pa.DataFrameModel):
state: str
city: str
price: int = pa.Field(in_range={"min_value": 5, "max_value": 20})
lf = pl.LazyFrame(
{
'state': ['FL','FL','FL','CA','CA','CA'],
'city': [
</tr></table>

... (truncated)

Commits

• d2bfed0 bugfix: timezone-agnostic datetime in polars works in DataFrameModel (#1638)
• 95e412f Add missing pandas import line. (#1635)
• be74271 Bugfix/1631: Series[Annotated[...]] DataFrameModel types should correctly cre...
• 63140c9 bugfix: nullable check float dtype handles nan and null (#1627)
• 0faae07 use google colab instead of jupyterlite (#1618)
• 30e5f0f Bugfix/1616: Polars data container validation (#1623)
• 612d25c add tests for polars decorators (#1615)
• b11cc4d rewrite Check class docstrings to remove pandas assumption (#1614)
• 4724036 fix: properly coerce dtypes for columns with regex=True (#1602)
• 8c513b6 update docs for polars (#1613)
• Additional commits viewable in compare view

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