def test_converts_invalid_values(self, array):
x = np.array([
[np.nan, 0, 2, np.inf],
[-np.inf, np.nan, 1e-18, 2],
[np.nan, np.nan, np.nan, np.nan],
[np.inf, np.inf, np.inf, np.inf],
])
result = nan_to_num(array(x))
np.testing.assert_equal(assure_array_dense(result), np.nan_to_num(x))
def test_functionality(self, array):
expected = np.isnan(self.x)
result = isnan(array(self.x))
np.testing.assert_equal(assure_array_dense(result), expected)
def test_preserves_valid_values(self, array):
x = np.arange(12).reshape((3, 4))
result = nan_to_num(array(x))
np.testing.assert_equal(assure_array_dense(result), x)
np.testing.assert_equal(assure_array_dense(result), np.nan_to_num(x))
