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How to use test_logical_datatype_coerce method in pandera

Best Python code snippet using pandera_python

test_logical_dtypes.py

Source:test_logical_dtypes.py

...117            ["01/01/2022"],118        ),119    ],120)121def test_logical_datatype_coerce(122    datacontainer_lib: ModuleType,  # pylint: disable=redefined-outer-name123    data,124    expected_datatype: pandas_engine.DataType,125    failure_cases: List[bool],126):127    """Test decimal coerce."""128    data = datacontainer_lib.Series(data)  # type:ignore129    failure_cases = pd.Series(failure_cases)130    if failure_cases.any():131        with pytest.raises(ParserError) as exc:132            expected_datatype.try_coerce(data)133        actual_failure_cases = pd.Series(134            exc.value.failure_cases["failure_case"].to_numpy()135        )...

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