How to use invalid_out_schema_type method in pandera

Best Python code snippet using pandera_python

test_decorators.py

Source:test_decorators.py Github

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...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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