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How to use test_incorrect_check_input_index method in pandera

Best Python code snippet using pandera_python

test_decorators.py

Source:test_decorators.py

...160        test_func(pd.DataFrame({"column1": [1, 2, 3]}))161    # case 2: check that if the input decorator refers to an index that's not162    # in the function signature, it will fail in a way that's easy to interpret163    @check_input(DataFrameSchema({"column1": Column(Int)}), 1)164    def test_incorrect_check_input_index(df):165        return df166    with pytest.raises(167        IndexError, match=r"^error in check_input decorator of function"168    ):169        test_incorrect_check_input_index(pd.DataFrame({"column1": [1, 2, 3]}))170def test_check_input_method_decorators() -> None:171    """Test the check_input and check_output decorator behaviours when the172    dataframe is changed within the function being checked"""173    in_schema = DataFrameSchema({"column1": Column(String)})174    out_schema = DataFrameSchema({"column2": Column(Int)})175    dataframe = pd.DataFrame({"column1": ["a", "b", "c"]})176    def _transform_helper(df):177        return df.assign(column2=[1, 2, 3])178    class TransformerClass:179        """Contains functions with different signatures representing the way180        that the decorators can be called."""181        # pylint: disable=E0012,C0111,C0116,W0613,R0201182        # disables missing-function-docstring as this is a factory method183        # disables unused-arguments because handling the second argument is...

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