def test_td_rfloordiv_invalid_scalar(self):
# GH#18846
td = Timedelta(hours=3, minutes=3)
dt64 = np.datetime64('2016-01-01', dtype='datetime64[us]')
with pytest.raises(TypeError):
td.__rfloordiv__(dt64)
def test_td_rfloordiv_invalid_scalar(self):
# GH#18846
td = Timedelta(hours=3, minutes=3)
dt64 = np.datetime64('2016-01-01', dtype='datetime64[us]')
with pytest.raises(TypeError):
td.__rfloordiv__(dt64)
def test_td_rfloordiv_invalid_scalar(self):
# GH#18846
td = Timedelta(hours=3, minutes=3)
dt64 = np.datetime64("2016-01-01", "us")
msg = r"Invalid dtype datetime64\[us\] for __floordiv__"
with pytest.raises(TypeError, match=msg):
td.__rfloordiv__(dt64)
def test_td_rfloordiv_timedeltalike_array(self):
# GH#18846
td = Timedelta(hours=3, minutes=3)
scalar = Timedelta(hours=3, minutes=4)
# Array-like others
assert td.__rfloordiv__(np.array(scalar.to_timedelta64())) == 1
res = td.__rfloordiv__(np.array([(3 * scalar).to_timedelta64()]))
expected = np.array([3], dtype=np.int64)
tm.assert_numpy_array_equal(res, expected)
arr = np.array([(10 * scalar).to_timedelta64(), np.timedelta64('NaT')])
res = td.__rfloordiv__(arr)
expected = np.array([10, np.nan])
tm.assert_numpy_array_equal(res, expected)
def test_td_rfloordiv_numeric_series(self):
# GH#18846
td = Timedelta(hours=3, minutes=3)
ser = pd.Series([1], dtype=np.int64)
res = td.__rfloordiv__(ser)
assert res is NotImplemented
with pytest.raises(TypeError):
ser // td
def test_td_rfloordiv_timedeltalike_array(self):
# GH#18846
td = Timedelta(hours=3, minutes=3)
scalar = Timedelta(hours=3, minutes=4)
# Array-like others
assert td.__rfloordiv__(np.array(scalar.to_timedelta64())) == 1
res = td.__rfloordiv__(np.array([(3 * scalar).to_timedelta64()]))
expected = np.array([3], dtype=np.int64)
tm.assert_numpy_array_equal(res, expected)
arr = np.array([(10 * scalar).to_timedelta64(),
np.timedelta64('NaT')])
res = td.__rfloordiv__(arr)
expected = np.array([10, np.nan])
tm.assert_numpy_array_equal(res, expected)
def test_td_rfloordiv_numeric_series(self):
# GH#18846
td = Timedelta(hours=3, minutes=3)
ser = pd.Series([1], dtype=np.int64)
res = td.__rfloordiv__(ser)
assert res is NotImplemented
with pytest.raises(TypeError):
ser // td
def test_td_rfloordiv_numeric_scalar(self):
# GH#18846
td = Timedelta(hours=3, minutes=3)
assert td.__rfloordiv__(np.nan) is NotImplemented
assert td.__rfloordiv__(3.5) is NotImplemented
assert td.__rfloordiv__(2) is NotImplemented
with pytest.raises(TypeError):
td.__rfloordiv__(np.float64(2.0))
with pytest.raises(TypeError):
td.__rfloordiv__(np.int32(2.0))
with pytest.raises(TypeError):
td.__rfloordiv__(np.uint8(9))
def test_td_rfloordiv_numeric_scalar(self):
# GH#18846
td = Timedelta(hours=3, minutes=3)
assert td.__rfloordiv__(np.nan) is NotImplemented
assert td.__rfloordiv__(3.5) is NotImplemented
assert td.__rfloordiv__(2) is NotImplemented
with pytest.raises(TypeError):
td.__rfloordiv__(np.float64(2.0))
with pytest.raises(TypeError):
td.__rfloordiv__(np.int32(2.0))
with pytest.raises(TypeError):
td.__rfloordiv__(np.uint8(9))
def test_td_rfloordiv_numeric_series(self):
# GH#18846
td = Timedelta(hours=3, minutes=3)
ser = pd.Series([1], dtype=np.int64)
res = td.__rfloordiv__(ser)
assert res is NotImplemented
with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
# TODO: GH-19761. Change to TypeError.
ser // td
def test_td_rfloordiv_numeric_series(self):
# GH#18846
td = Timedelta(hours=3, minutes=3)
ser = pd.Series([1], dtype=np.int64)
res = td.__rfloordiv__(ser)
assert res is NotImplemented
with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
# TODO: GH-19761. Change to TypeError.
ser // td
def test_td_rfloordiv_numeric_scalar(self):
# GH#18846
td = Timedelta(hours=3, minutes=3)
assert td.__rfloordiv__(np.nan) is NotImplemented
assert td.__rfloordiv__(3.5) is NotImplemented
assert td.__rfloordiv__(2) is NotImplemented
with pytest.raises(TypeError):
td.__rfloordiv__(np.float64(2.0))
with pytest.raises(TypeError):
td.__rfloordiv__(np.uint8(9))
with tm.assert_produces_warning(FutureWarning):
# GH-19761: Change to TypeError.
td.__rfloordiv__(np.int32(2.0))
def test_td_rfloordiv_numeric_scalar(self):
# GH#18846
td = Timedelta(hours=3, minutes=3)
assert td.__rfloordiv__(np.nan) is NotImplemented
assert td.__rfloordiv__(3.5) is NotImplemented
assert td.__rfloordiv__(2) is NotImplemented
with pytest.raises(TypeError):
td.__rfloordiv__(np.float64(2.0))
with pytest.raises(TypeError):
td.__rfloordiv__(np.uint8(9))
with tm.assert_produces_warning(FutureWarning):
# GH-19761: Change to TypeError.
td.__rfloordiv__(np.int32(2.0))
def test_td_rfloordiv_numeric_scalar(self):
# GH#18846
td = Timedelta(hours=3, minutes=3)
assert td.__rfloordiv__(np.nan) is NotImplemented
assert td.__rfloordiv__(3.5) is NotImplemented
assert td.__rfloordiv__(2) is NotImplemented
with pytest.raises(TypeError):
td.__rfloordiv__(np.float64(2.0))
with pytest.raises(TypeError):
td.__rfloordiv__(np.uint8(9))
with pytest.raises(TypeError, match="Invalid dtype"):
# deprecated GH#19761, enforced GH#29797
td.__rfloordiv__(np.int32(2.0))
def test_td_rfloordiv_numeric_series(self):
# GH#18846
td = Timedelta(hours=3, minutes=3)
ser = pd.Series([1], dtype=np.int64)
res = td.__rfloordiv__(ser)
assert res is NotImplemented
with pytest.raises(TypeError, match="Invalid dtype"):
# Deprecated GH#19761, enforced GH#29797
# TODO: GH-19761. Change to TypeError.
ser // td
def test_td_rfloordiv_invalid_scalar(self):
# GH#18846
td = Timedelta(hours=3, minutes=3)
dt64 = np.datetime64("2016-01-01", "us")
assert td.__rfloordiv__(dt64) is NotImplemented
msg = (
r"unsupported operand type\(s\) for //: 'numpy.datetime64' and 'Timedelta'"
)
with pytest.raises(TypeError, match=msg):
dt64 // td
def test_td_rfloordiv_timedeltalike_scalar(self):
# GH#18846
td = Timedelta(hours=3, minutes=3)
scalar = Timedelta(hours=3, minutes=4)
# scalar others
# x // Timedelta is defined only for timedelta-like x. int-like,
# float-like, and date-like, in particular, should all either
# a) raise TypeError directly or
# b) return NotImplemented, following which the reversed
# operation will raise TypeError.
assert td.__rfloordiv__(scalar) == 1
assert (-td).__rfloordiv__(scalar.to_pytimedelta()) == -2
assert (2 * td).__rfloordiv__(scalar.to_timedelta64()) == 0
def test_td_rfloordiv_timedeltalike_scalar(self):
# GH#18846
td = Timedelta(hours=3, minutes=3)
scalar = Timedelta(hours=3, minutes=4)
# scalar others
# x // Timedelta is defined only for timedelta-like x. int-like,
# float-like, and date-like, in particular, should all either
# a) raise TypeError directly or
# b) return NotImplemented, following which the reversed
# operation will raise TypeError.
assert td.__rfloordiv__(scalar) == 1
assert (-td).__rfloordiv__(scalar.to_pytimedelta()) == -2
assert (2 * td).__rfloordiv__(scalar.to_timedelta64()) == 0
def test_td_rfloordiv_numeric_scalar(self):
# GH#18846
td = Timedelta(hours=3, minutes=3)
assert td.__rfloordiv__(np.nan) is NotImplemented
assert td.__rfloordiv__(3.5) is NotImplemented
assert td.__rfloordiv__(2) is NotImplemented
assert td.__rfloordiv__(np.float64(2.0)) is NotImplemented
assert td.__rfloordiv__(np.uint8(9)) is NotImplemented
assert td.__rfloordiv__(np.int32(2.0)) is NotImplemented
msg = r"unsupported operand type\(s\) for //: '.*' and 'Timedelta"
with pytest.raises(TypeError, match=msg):
np.float64(2.0) // td
with pytest.raises(TypeError, match=msg):
np.uint8(9) // td
with pytest.raises(TypeError, match=msg):
# deprecated GH#19761, enforced GH#29797
np.int32(2.0) // td
def test_rfloordiv(self):
# GH#18846
td = Timedelta(hours=3, minutes=3)
scalar = Timedelta(hours=3, minutes=4)
# scalar others
# x // Timedelta is defined only for timedelta-like x. int-like,
# float-like, and date-like, in particular, should all either
# a) raise TypeError directly or
# b) return NotImplemented, following which the reversed
# operation will raise TypeError.
assert td.__rfloordiv__(scalar) == 1
assert (-td).__rfloordiv__(scalar.to_pytimedelta()) == -2
assert (2 * td).__rfloordiv__(scalar.to_timedelta64()) == 0
assert np.isnan(td.__rfloordiv__(pd.NaT))
assert np.isnan(td.__rfloordiv__(np.timedelta64('NaT')))
dt64 = np.datetime64('2016-01-01', dtype='datetime64[us]')
with pytest.raises(TypeError):
td.__rfloordiv__(dt64)
assert td.__rfloordiv__(np.nan) is NotImplemented
assert td.__rfloordiv__(3.5) is NotImplemented
assert td.__rfloordiv__(2) is NotImplemented
with pytest.raises(TypeError):
td.__rfloordiv__(np.float64(2.0))
with pytest.raises(TypeError):
td.__rfloordiv__(np.int32(2.0))
with pytest.raises(TypeError):
td.__rfloordiv__(np.uint8(9))
# Array-like others
assert td.__rfloordiv__(np.array(scalar.to_timedelta64())) == 1
res = td.__rfloordiv__(np.array([(3 * scalar).to_timedelta64()]))
expected = np.array([3], dtype=np.int64)
tm.assert_numpy_array_equal(res, expected)
arr = np.array([(10 * scalar).to_timedelta64(), np.timedelta64('NaT')])
res = td.__rfloordiv__(arr)
expected = np.array([10, np.nan])
tm.assert_numpy_array_equal(res, expected)
ser = pd.Series([1], dtype=np.int64)
res = td.__rfloordiv__(ser)
assert res is NotImplemented
with pytest.raises(TypeError):
ser // td
def test_rfloordiv(self):
# GH#18846
td = Timedelta(hours=3, minutes=3)
scalar = Timedelta(hours=3, minutes=4)
# scalar others
# x // Timedelta is defined only for timedelta-like x. int-like,
# float-like, and date-like, in particular, should all either
# a) raise TypeError directly or
# b) return NotImplemented, following which the reversed
# operation will raise TypeError.
assert td.__rfloordiv__(scalar) == 1
assert (-td).__rfloordiv__(scalar.to_pytimedelta()) == -2
assert (2 * td).__rfloordiv__(scalar.to_timedelta64()) == 0
assert np.isnan(td.__rfloordiv__(pd.NaT))
assert np.isnan(td.__rfloordiv__(np.timedelta64('NaT')))
dt64 = np.datetime64('2016-01-01', dtype='datetime64[us]')
with pytest.raises(TypeError):
td.__rfloordiv__(dt64)
assert td.__rfloordiv__(np.nan) is NotImplemented
assert td.__rfloordiv__(3.5) is NotImplemented
assert td.__rfloordiv__(2) is NotImplemented
with pytest.raises(TypeError):
td.__rfloordiv__(np.float64(2.0))
with pytest.raises(TypeError):
td.__rfloordiv__(np.int32(2.0))
with pytest.raises(TypeError):
td.__rfloordiv__(np.uint8(9))
# Array-like others
assert td.__rfloordiv__(np.array(scalar.to_timedelta64())) == 1
res = td.__rfloordiv__(np.array([(3 * scalar).to_timedelta64()]))
expected = np.array([3], dtype=np.int64)
tm.assert_numpy_array_equal(res, expected)
arr = np.array([(10 * scalar).to_timedelta64(),
np.timedelta64('NaT')])
res = td.__rfloordiv__(arr)
expected = np.array([10, np.nan])
tm.assert_numpy_array_equal(res, expected)
ser = pd.Series([1], dtype=np.int64)
res = td.__rfloordiv__(ser)
assert res is NotImplemented
with pytest.raises(TypeError):
ser // td
def test_td_rfloordiv_null_scalar(self):
# GH#18846
td = Timedelta(hours=3, minutes=3)
assert np.isnan(td.__rfloordiv__(NaT))
assert np.isnan(td.__rfloordiv__(np.timedelta64('NaT')))
def test_td_rfloordiv_null_scalar(self):
# GH#18846
td = Timedelta(hours=3, minutes=3)
assert np.isnan(td.__rfloordiv__(NaT))
assert np.isnan(td.__rfloordiv__(np.timedelta64('NaT')))