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How to use test_logical_datatype_check method in pandera

Best Python code snippet using pandera_python

test_logical_dtypes.py

Source:test_logical_dtypes.py

...67            [True, False, False, False, True, True, True, True],68        ),69    ],70)71def test_logical_datatype_check(72    datacontainer_lib: ModuleType,  # pylint: disable=redefined-outer-name73    data,74    expected_datatype: pandas_engine.DataType,75    expected_results: List[bool],76):77    """Test decimal check."""78    data = datacontainer_lib.Series(data, dtype="object")  # type:ignore79    actual_datatype = pandas_engine.Engine.dtype(data.dtype)80    # wrong data type argument, should return all False81    assert not any(82        cast(Iterable[bool], expected_datatype.check(SimpleDtype(), data))83    )84    assert expected_datatype.check(SimpleDtype(), None) is False85    # No data container...

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