import pytest from pandas.util._validators import ( validate_bool_kwarg, validate_kwargs, ) _fname = "func" def test_bad_kwarg(): good_arg = "f" bad_arg = good_arg + "o" compat_args = {good_arg: "foo", bad_arg + "o": "bar"} kwargs = {good_arg: "foo", bad_arg: "bar"} msg = rf"{_fname}\(\) got an unexpected keyword argument '{bad_arg}'" with pytest.raises(TypeError, match=msg): validate_kwargs(_fname, kwargs, compat_args) @pytest.mark.parametrize("i", range(1, 3)) def test_not_all_none(i): bad_arg = "foo" msg = ( rf"the '{bad_arg}' parameter is not supported " rf"in the pandas implementation of {_fname}\(\)" ) compat_args = {"foo": 1, "bar": "s", "baz": None} kwarg_keys = ("foo", "bar", "baz") kwarg_vals = (2, "s", None) kwargs = dict(zip(kwarg_keys[:i], kwarg_vals[:i])) with pytest.raises(ValueError, match=msg): validate_kwargs(_fname, kwargs, compat_args) def test_validation(): # No exceptions should be raised. compat_args = {"f": None, "b": 1, "ba": "s"} kwargs = {"f": None, "b": 1} validate_kwargs(_fname, kwargs, compat_args) @pytest.mark.parametrize("name", ["inplace", "copy"]) @pytest.mark.parametrize("value", [1, "True", [1, 2, 3], 5.0]) def test_validate_bool_kwarg_fail(name, value): msg = ( f'For argument "{name}" expected type bool, ' f"received type {type(value).__name__}" ) with pytest.raises(ValueError, match=msg): validate_bool_kwarg(value, name) @pytest.mark.parametrize("name", ["inplace", "copy"]) @pytest.mark.parametrize("value", [True, False, None]) def test_validate_bool_kwarg(name, value): assert validate_bool_kwarg(value, name) == value