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import numpy as np import pytest from sklearn.utils._missing import is_scalar_nan @pytest.mark.parametrize( "value, result", [ (float("nan"), True), (np.nan, True), (float(np.nan), True), (np.float32(np.nan), True), (np.float64(np.nan), True), (0, False), (0.0, False), (None, False), ("", False), ("nan", False), ([np.nan], False), (9867966753463435747313673, False), # Python int that overflows with C type ], ) def test_is_scalar_nan(value, result): assert is_scalar_nan(value) is result # make sure that we are returning a Python bool assert isinstance(is_scalar_nan(value), bool)
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