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