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How to use modin_version method in pandera

Best Python code snippet using pandera_python

test_schemas_on_modin.py

Source:test_schemas_on_modin.py

...131        schema = schema_cls(indexes=[pa.Index(dtype, name="field")])132        schema.coerce = coerce133    sample = data.draw(schema.strategy(size=3))134    # pandas (and modin) use object arrays to store boolean data135    if modin_version().release < (0, 16, 0) and dtype is bool:136        assert sample.dtype == "object"137        return138    assert isinstance(139        schema(mpd.DataFrame(pd.DataFrame(index=sample))), mpd.DataFrame140    )141@pytest.mark.parametrize(142    "dtype",143    [144        dt145        for dt in TEST_DTYPES_ON_MODIN146        # pylint: disable=no-value-for-parameter147        if dt in NULLABLE_DTYPES148        and not (149            pandas_engine.GEOPANDAS_INSTALLED...

modin.py

Source:modin.py

...8    import modin.pandas as mpd9    MODIN_INSTALLED = True10except ImportError:11    MODIN_INSTALLED = False12def modin_version():13    """Return the modin version."""14    return version.parse(modin.__version__)15# pylint:disable=invalid-name16if TYPE_CHECKING:17    T = TypeVar("T")  # pragma: no cover18else:19    T = Schema20if MODIN_INSTALLED:21    # pylint: disable=too-few-public-methods22    class DataFrame(DataFrameBase, mpd.DataFrame, Generic[T]):23        """24        Representation of dask.dataframe.DataFrame, only used for type25        annotation.26        *new in 0.8.0*...

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