def test_to_numpy_alias():
# GH 24653: alias .to_numpy() for scalars
expected = NaT.to_datetime64()
result = NaT.to_numpy()
assert isna(expected) and isna(result)
# GH#44460
result = NaT.to_numpy("M8[s]")
assert isinstance(result, np.datetime64)
assert result.dtype == "M8[s]"
result = NaT.to_numpy("m8[ns]")
assert isinstance(result, np.timedelta64)
assert result.dtype == "m8[ns]"
result = NaT.to_numpy("m8[s]")
assert isinstance(result, np.timedelta64)
assert result.dtype == "m8[s]"
with pytest.raises(ValueError, match="NaT.to_numpy dtype must be a "):
NaT.to_numpy(np.int64)
def test_to_numpy_alias():
# GH 24653: alias .to_numpy() for scalars
expected = NaT.to_datetime64()
result = NaT.to_numpy()
assert isna(expected) and isna(result)
def test_to_numpy_alias():
# GH 24653: alias .to_numpy() for scalars
expected = NaT.to_datetime64()
result = NaT.to_numpy()
assert isna(expected) and isna(result)
