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import numpy as np import pytest from pandas import Series @pytest.mark.parametrize( "data, expected", [ (np.random.default_rng(2).integers(0, 10, size=1000), False), (np.arange(1000), True), ([], True), ([np.nan], True), (["foo", "bar", np.nan], True), (["foo", "foo", np.nan], False), (["foo", "bar", np.nan, np.nan], False), ], ) def test_is_unique(data, expected): # GH#11946 / GH#25180 ser = Series(data) assert ser.is_unique is expected def test_is_unique_class_ne(capsys): # GH#20661 class Foo: def __init__(self, val) -> None: self._value = val def __ne__(self, other): raise Exception("NEQ not supported") with capsys.disabled(): li = [Foo(i) for i in range(5)] ser = Series(li, index=list(range(5))) ser.is_unique captured = capsys.readouterr() assert len(captured.err) == 0
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