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How to use test_check_function_decorator_errors method in pandera

Best Python code snippet using pandera_python

test_decorators.py

Source:test_decorators.py

...134    assert isinstance(df, pd.DataFrame)135    df = test_func4("foo", df)136    assert x == "foo"137    assert isinstance(df, pd.DataFrame)138def test_check_function_decorator_errors() -> None:139    """Test that the check_input and check_output decorators error properly."""140    # case 1: checks that the input and output decorators error when different141    # types are passed in and out142    @check_input(DataFrameSchema({"column1": Column(Int)}))143    @check_output(DataFrameSchema({"column2": Column(Float)}))144    def test_func(df):145        return df146    with pytest.raises(147        errors.SchemaError,148        match=r"^error in check_input decorator of function",149    ):150        test_func(pd.DataFrame({"column2": ["a", "b", "c"]}))151    with pytest.raises(152        errors.SchemaError,...

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