How to use test_default_numeric_dtypes method in pandera

Best Python code snippet using pandera_python

test_dtypes.py

Source:test_dtypes.py

...351    data = pd.Series([1, None], dtype="Int32")352    coerced = pandas_engine.Engine.dtype(str).coerce(data).to_list()353    assert isinstance(coerced[0], str)354    assert pd.isna(coerced[1])355def test_default_numeric_dtypes():356    """357    Test that default numeric dtypes int, float and complex are consistent.358    """359    default_int_dtype = pd.Series([1]).dtype360    assert (361        pandas_engine.Engine.dtype(default_int_dtype)362        == pandas_engine.Engine.dtype(int)363        == pandas_engine.Engine.dtype("int")364    )365    default_float_dtype = pd.Series([1.0]).dtype366    assert (367        pandas_engine.Engine.dtype(default_float_dtype)368        == pandas_engine.Engine.dtype(float)369        == pandas_engine.Engine.dtype("float")...

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