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How to use test_datatype_alias method in pandera

Best Python code snippet using pandera_python

test_dtypes.py

Source:test_dtypes.py

...232            return [str(x) for x in data_container]233    custom_dtype = CustomDataType()234    coerced_data = custom_dtype([1, 2, 3, 4, 5])235    assert coerced_data == ["1", "2", "3", "4", "5"]236def test_datatype_alias(data_type: Any, pd_dtype: Any):237    """Test that a default pa.DataType can be constructed."""238    assert str(pandas_engine.Engine.dtype(data_type)) == str(pd_dtype)239def test_frozen_datatype(data_type: Any):240    """Test that pa.DataType instances are immutable."""241    data_type = data_type() if inspect.isclass(data_type) else data_type242    with pytest.raises(dataclasses.FrozenInstanceError):243        data_type.foo = 1244def test_invalid_pandas_extension_dtype():245    """Test that an invalid dtype is rejected."""246    with pytest.raises(TypeError):247        pandas_engine.Engine.dtype(248            pd.PeriodDtype249        )  # PerioDtype has required parameters250def test_check_equivalent(dtype: Any, pd_dtype: Any):...

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