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How to use invalid_out_schema_type method in pandera

Best Python code snippet using pandera_python

test_decorators.py

Source:test_decorators.py

...300    for out_schema in [1, 5.0, "foo", {"foo": "bar"}, ["foo"]]:301        # mypy finds correctly the wrong usage302        # pylint: disable=cell-var-from-loop303        @check_io(out=out_schema)  # type: ignore[arg-type]304        def invalid_out_schema_type(df):305            return df306        with pytest.raises((TypeError, ValueError)):307            invalid_out_schema_type(df1)308@pytest.mark.parametrize(309    "obj_getter", [1.5, 0.1, ["foo"], {1, 2, 3}, {"foo": "bar"}]310)311def test_check_input_output_unrecognized_obj_getter(obj_getter) -> None:312    """313    Test that check_input and check_output raise correct errors on unrecognized314    dataframe object getters315    """316    schema = DataFrameSchema({"column": Column(int)})317    @check_input(schema, obj_getter)318    def test_check_input_fn(df):319        return df320    @check_output(schema, obj_getter)321    def test_check_output_fn(df):...

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