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How to use is_generic_df method in pandera

Best Python code snippet using pandera_python

common.py

Source:common.py

...184    """185    def __init__(self, raw_annotation: Type) -> None:186        self._parse_annotation(raw_annotation)187    @property188    def is_generic_df(self) -> bool:189        """True if the annotation is a DataFrameBase subclass."""190        try:191            if self.origin is None:192                return False193            return issubclass(self.origin, DataFrameBase)194        except TypeError:195            return False196    def _parse_annotation(self, raw_annotation: Type) -> None:197        """Parse key information from annotation.198        :param annotation: A subscripted type.199        :returns: Annotation200        """201        self.raw_annotation = raw_annotation202        self.origin = self.arg = None...

test_dask_not_installed.py

Source:test_dask_not_installed.py

1"""Tests behavior when dask is not installed. """2import sys3from unittest import mock4import pandas as pd5import pytest6def test_dask_not_installed() -> None:7    """Test that Pandera and its modules can be imported and continue to work8    without dask"""9    with mock.patch.dict("sys.modules", {"dask": None}):10        with pytest.raises(ImportError):11            # pylint: disable=import-outside-toplevel,unused-import12            import dask.dataframe13        del sys.modules["pandera"]14        del sys.modules["pandera.dask_accessor"]15        # pylint: disable=import-outside-toplevel,unused-import16        import pandera17        assert "pandera.dask_accessor" not in sys.modules18        del sys.modules["pandera"]19        del sys.modules["pandera.check_utils"]20        # pylint: disable=import-outside-toplevel21        import pandera.check_utils22        assert not pandera.check_utils.is_table(pd.Series([1]))23        del sys.modules["pandera"]24        del sys.modules["pandera.typing"]25        # pylint: disable=import-outside-toplevel26        import pandera.typing27        annotation = pandera.typing.DataFrame[int]...

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