8th day of python challenges 111-117

venv/lib/python3.6/site-packages/pandas/tests/scalar/timedelta/test_arithmetic.py

@@ -0,0 +1,691 @@
+"""
+Tests for scalar Timedelta arithmetic ops
+"""
+from datetime import datetime, timedelta
+import operator
+
+import numpy as np
+import pytest
+
+import pandas as pd
+from pandas import NaT, Timedelta, Timestamp
+from pandas.core import ops
+import pandas.util.testing as tm
+
+
+class TestTimedeltaAdditionSubtraction:
+    """
+    Tests for Timedelta methods:
+
+        __add__, __radd__,
+        __sub__, __rsub__
+    """
+
+    @pytest.mark.parametrize(
+        "ten_seconds",
+        [
+            Timedelta(10, unit="s"),
+            timedelta(seconds=10),
+            np.timedelta64(10, "s"),
+            np.timedelta64(10000000000, "ns"),
+            pd.offsets.Second(10),
+        ],
+    )
+    def test_td_add_sub_ten_seconds(self, ten_seconds):
+        # GH#6808
+        base = Timestamp("20130101 09:01:12.123456")
+        expected_add = Timestamp("20130101 09:01:22.123456")
+        expected_sub = Timestamp("20130101 09:01:02.123456")
+
+        result = base + ten_seconds
+        assert result == expected_add
+
+        result = base - ten_seconds
+        assert result == expected_sub
+
+    @pytest.mark.parametrize(
+        "one_day_ten_secs",
+        [
+            Timedelta("1 day, 00:00:10"),
+            Timedelta("1 days, 00:00:10"),
+            timedelta(days=1, seconds=10),
+            np.timedelta64(1, "D") + np.timedelta64(10, "s"),
+            pd.offsets.Day() + pd.offsets.Second(10),
+        ],
+    )
+    def test_td_add_sub_one_day_ten_seconds(self, one_day_ten_secs):
+        # GH#6808
+        base = Timestamp("20130102 09:01:12.123456")
+        expected_add = Timestamp("20130103 09:01:22.123456")
+        expected_sub = Timestamp("20130101 09:01:02.123456")
+
+        result = base + one_day_ten_secs
+        assert result == expected_add
+
+        result = base - one_day_ten_secs
+        assert result == expected_sub
+
+    @pytest.mark.parametrize("op", [operator.add, ops.radd])
+    def test_td_add_datetimelike_scalar(self, op):
+        # GH#19738
+        td = Timedelta(10, unit="d")
+
+        result = op(td, datetime(2016, 1, 1))
+        if op is operator.add:
+            # datetime + Timedelta does _not_ call Timedelta.__radd__,
+            # so we get a datetime back instead of a Timestamp
+            assert isinstance(result, Timestamp)
+        assert result == Timestamp(2016, 1, 11)
+
+        result = op(td, Timestamp("2018-01-12 18:09"))
+        assert isinstance(result, Timestamp)
+        assert result == Timestamp("2018-01-22 18:09")
+
+        result = op(td, np.datetime64("2018-01-12"))
+        assert isinstance(result, Timestamp)
+        assert result == Timestamp("2018-01-22")
+
+        result = op(td, NaT)
+        assert result is NaT
+
+    @pytest.mark.parametrize("op", [operator.add, ops.radd])
+    def test_td_add_td(self, op):
+        td = Timedelta(10, unit="d")
+
+        result = op(td, Timedelta(days=10))
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(days=20)
+
+    @pytest.mark.parametrize("op", [operator.add, ops.radd])
+    def test_td_add_pytimedelta(self, op):
+        td = Timedelta(10, unit="d")
+        result = op(td, timedelta(days=9))
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(days=19)
+
+    @pytest.mark.parametrize("op", [operator.add, ops.radd])
+    def test_td_add_timedelta64(self, op):
+        td = Timedelta(10, unit="d")
+        result = op(td, np.timedelta64(-4, "D"))
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(days=6)
+
+    @pytest.mark.parametrize("op", [operator.add, ops.radd])
+    def test_td_add_offset(self, op):
+        td = Timedelta(10, unit="d")
+
+        result = op(td, pd.offsets.Hour(6))
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(days=10, hours=6)
+
+    def test_td_sub_td(self):
+        td = Timedelta(10, unit="d")
+        expected = Timedelta(0, unit="ns")
+        result = td - td
+        assert isinstance(result, Timedelta)
+        assert result == expected
+
+    def test_td_sub_pytimedelta(self):
+        td = Timedelta(10, unit="d")
+        expected = Timedelta(0, unit="ns")
+
+        result = td - td.to_pytimedelta()
+        assert isinstance(result, Timedelta)
+        assert result == expected
+
+        result = td.to_pytimedelta() - td
+        assert isinstance(result, Timedelta)
+        assert result == expected
+
+    def test_td_sub_timedelta64(self):
+        td = Timedelta(10, unit="d")
+        expected = Timedelta(0, unit="ns")
+
+        result = td - td.to_timedelta64()
+        assert isinstance(result, Timedelta)
+        assert result == expected
+
+        result = td.to_timedelta64() - td
+        assert isinstance(result, Timedelta)
+        assert result == expected
+
+    def test_td_sub_nat(self):
+        # In this context pd.NaT is treated as timedelta-like
+        td = Timedelta(10, unit="d")
+        result = td - NaT
+        assert result is NaT
+
+    def test_td_sub_td64_nat(self):
+        td = Timedelta(10, unit="d")
+        td_nat = np.timedelta64("NaT")
+
+        result = td - td_nat
+        assert result is NaT
+
+        result = td_nat - td
+        assert result is NaT
+
+    def test_td_sub_offset(self):
+        td = Timedelta(10, unit="d")
+        result = td - pd.offsets.Hour(1)
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(239, unit="h")
+
+    def test_td_add_sub_numeric_raises(self):
+        td = Timedelta(10, unit="d")
+        for other in [2, 2.0, np.int64(2), np.float64(2)]:
+            with pytest.raises(TypeError):
+                td + other
+            with pytest.raises(TypeError):
+                other + td
+            with pytest.raises(TypeError):
+                td - other
+            with pytest.raises(TypeError):
+                other - td
+
+    def test_td_rsub_nat(self):
+        td = Timedelta(10, unit="d")
+        result = NaT - td
+        assert result is NaT
+
+        result = np.datetime64("NaT") - td
+        assert result is NaT
+
+    def test_td_rsub_offset(self):
+        result = pd.offsets.Hour(1) - Timedelta(10, unit="d")
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(-239, unit="h")
+
+    def test_td_sub_timedeltalike_object_dtype_array(self):
+        # GH#21980
+        arr = np.array([Timestamp("20130101 9:01"), Timestamp("20121230 9:02")])
+        exp = np.array([Timestamp("20121231 9:01"), Timestamp("20121229 9:02")])
+        res = arr - Timedelta("1D")
+        tm.assert_numpy_array_equal(res, exp)
+
+    def test_td_sub_mixed_most_timedeltalike_object_dtype_array(self):
+        # GH#21980
+        now = Timestamp.now()
+        arr = np.array([now, Timedelta("1D"), np.timedelta64(2, "h")])
+        exp = np.array(
+            [
+                now - Timedelta("1D"),
+                Timedelta("0D"),
+                np.timedelta64(2, "h") - Timedelta("1D"),
+            ]
+        )
+        res = arr - Timedelta("1D")
+        tm.assert_numpy_array_equal(res, exp)
+
+    def test_td_rsub_mixed_most_timedeltalike_object_dtype_array(self):
+        # GH#21980
+        now = Timestamp.now()
+        arr = np.array([now, Timedelta("1D"), np.timedelta64(2, "h")])
+        with pytest.raises(TypeError):
+            Timedelta("1D") - arr
+
+    @pytest.mark.parametrize("op", [operator.add, ops.radd])
+    def test_td_add_timedeltalike_object_dtype_array(self, op):
+        # GH#21980
+        arr = np.array([Timestamp("20130101 9:01"), Timestamp("20121230 9:02")])
+        exp = np.array([Timestamp("20130102 9:01"), Timestamp("20121231 9:02")])
+        res = op(arr, Timedelta("1D"))
+        tm.assert_numpy_array_equal(res, exp)
+
+    @pytest.mark.parametrize("op", [operator.add, ops.radd])
+    def test_td_add_mixed_timedeltalike_object_dtype_array(self, op):
+        # GH#21980
+        now = Timestamp.now()
+        arr = np.array([now, Timedelta("1D")])
+        exp = np.array([now + Timedelta("1D"), Timedelta("2D")])
+        res = op(arr, Timedelta("1D"))
+        tm.assert_numpy_array_equal(res, exp)
+
+
+class TestTimedeltaMultiplicationDivision:
+    """
+    Tests for Timedelta methods:
+
+        __mul__, __rmul__,
+        __div__, __rdiv__,
+        __truediv__, __rtruediv__,
+        __floordiv__, __rfloordiv__,
+        __mod__, __rmod__,
+        __divmod__, __rdivmod__
+    """
+
+    # ---------------------------------------------------------------
+    # Timedelta.__mul__, __rmul__
+
+    @pytest.mark.parametrize(
+        "td_nat", [NaT, np.timedelta64("NaT", "ns"), np.timedelta64("NaT")]
+    )
+    @pytest.mark.parametrize("op", [operator.mul, ops.rmul])
+    def test_td_mul_nat(self, op, td_nat):
+        # GH#19819
+        td = Timedelta(10, unit="d")
+        with pytest.raises(TypeError):
+            op(td, td_nat)
+
+    @pytest.mark.parametrize("nan", [np.nan, np.float64("NaN"), float("nan")])
+    @pytest.mark.parametrize("op", [operator.mul, ops.rmul])
+    def test_td_mul_nan(self, op, nan):
+        # np.float64('NaN') has a 'dtype' attr, avoid treating as array
+        td = Timedelta(10, unit="d")
+        result = op(td, nan)
+        assert result is NaT
+
+    @pytest.mark.parametrize("op", [operator.mul, ops.rmul])
+    def test_td_mul_scalar(self, op):
+        # GH#19738
+        td = Timedelta(minutes=3)
+
+        result = op(td, 2)
+        assert result == Timedelta(minutes=6)
+
+        result = op(td, 1.5)
+        assert result == Timedelta(minutes=4, seconds=30)
+
+        assert op(td, np.nan) is NaT
+
+        assert op(-1, td).value == -1 * td.value
+        assert op(-1.0, td).value == -1.0 * td.value
+
+        with pytest.raises(TypeError):
+            # timedelta * datetime is gibberish
+            op(td, Timestamp(2016, 1, 2))
+
+        with pytest.raises(TypeError):
+            # invalid multiply with another timedelta
+            op(td, td)
+
+    # ---------------------------------------------------------------
+    # Timedelta.__div__, __truediv__
+
+    def test_td_div_timedeltalike_scalar(self):
+        # GH#19738
+        td = Timedelta(10, unit="d")
+
+        result = td / pd.offsets.Hour(1)
+        assert result == 240
+
+        assert td / td == 1
+        assert td / np.timedelta64(60, "h") == 4
+
+        assert np.isnan(td / NaT)
+
+    def test_td_div_numeric_scalar(self):
+        # GH#19738
+        td = Timedelta(10, unit="d")
+
+        result = td / 2
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(days=5)
+
+        result = td / 5.0
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(days=2)
+
+    @pytest.mark.parametrize("nan", [np.nan, np.float64("NaN"), float("nan")])
+    def test_td_div_nan(self, nan):
+        # np.float64('NaN') has a 'dtype' attr, avoid treating as array
+        td = Timedelta(10, unit="d")
+        result = td / nan
+        assert result is NaT
+
+        result = td // nan
+        assert result is NaT
+
+    # ---------------------------------------------------------------
+    # Timedelta.__rdiv__
+
+    def test_td_rdiv_timedeltalike_scalar(self):
+        # GH#19738
+        td = Timedelta(10, unit="d")
+        result = pd.offsets.Hour(1) / td
+        assert result == 1 / 240.0
+
+        assert np.timedelta64(60, "h") / td == 0.25
+
+    # ---------------------------------------------------------------
+    # Timedelta.__floordiv__
+
+    def test_td_floordiv_timedeltalike_scalar(self):
+        # GH#18846
+        td = Timedelta(hours=3, minutes=4)
+        scalar = Timedelta(hours=3, minutes=3)
+
+        assert td // scalar == 1
+        assert -td // scalar.to_pytimedelta() == -2
+        assert (2 * td) // scalar.to_timedelta64() == 2
+
+    def test_td_floordiv_null_scalar(self):
+        # GH#18846
+        td = Timedelta(hours=3, minutes=4)
+
+        assert td // np.nan is NaT
+        assert np.isnan(td // NaT)
+        assert np.isnan(td // np.timedelta64("NaT"))
+
+    def test_td_floordiv_offsets(self):
+        # GH#19738
+        td = Timedelta(hours=3, minutes=4)
+        assert td // pd.offsets.Hour(1) == 3
+        assert td // pd.offsets.Minute(2) == 92
+
+    def test_td_floordiv_invalid_scalar(self):
+        # GH#18846
+        td = Timedelta(hours=3, minutes=4)
+
+        with pytest.raises(TypeError):
+            td // np.datetime64("2016-01-01", dtype="datetime64[us]")
+
+    def test_td_floordiv_numeric_scalar(self):
+        # GH#18846
+        td = Timedelta(hours=3, minutes=4)
+
+        expected = Timedelta(hours=1, minutes=32)
+        assert td // 2 == expected
+        assert td // 2.0 == expected
+        assert td // np.float64(2.0) == expected
+        assert td // np.int32(2.0) == expected
+        assert td // np.uint8(2.0) == expected
+
+    def test_td_floordiv_timedeltalike_array(self):
+        # GH#18846
+        td = Timedelta(hours=3, minutes=4)
+        scalar = Timedelta(hours=3, minutes=3)
+
+        # Array-like others
+        assert td // np.array(scalar.to_timedelta64()) == 1
+
+        res = (3 * td) // np.array([scalar.to_timedelta64()])
+        expected = np.array([3], dtype=np.int64)
+        tm.assert_numpy_array_equal(res, expected)
+
+        res = (10 * td) // np.array([scalar.to_timedelta64(), np.timedelta64("NaT")])
+        expected = np.array([10, np.nan])
+        tm.assert_numpy_array_equal(res, expected)
+
+    def test_td_floordiv_numeric_series(self):
+        # GH#18846
+        td = Timedelta(hours=3, minutes=4)
+        ser = pd.Series([1], dtype=np.int64)
+        res = td // ser
+        assert res.dtype.kind == "m"
+
+    # ---------------------------------------------------------------
+    # Timedelta.__rfloordiv__
+
+    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_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_offsets(self):
+        # GH#19738
+        assert pd.offsets.Hour(1) // Timedelta(minutes=25) == 2
+
+    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_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_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 tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
+            # TODO: GH-19761. Change to TypeError.
+            ser // td
+
+    # ----------------------------------------------------------------
+    # Timedelta.__mod__, __rmod__
+
+    def test_mod_timedeltalike(self):
+        # GH#19365
+        td = Timedelta(hours=37)
+
+        # Timedelta-like others
+        result = td % Timedelta(hours=6)
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(hours=1)
+
+        result = td % timedelta(minutes=60)
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(0)
+
+        result = td % NaT
+        assert result is NaT
+
+    def test_mod_timedelta64_nat(self):
+        # GH#19365
+        td = Timedelta(hours=37)
+
+        result = td % np.timedelta64("NaT", "ns")
+        assert result is NaT
+
+    def test_mod_timedelta64(self):
+        # GH#19365
+        td = Timedelta(hours=37)
+
+        result = td % np.timedelta64(2, "h")
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(hours=1)
+
+    def test_mod_offset(self):
+        # GH#19365
+        td = Timedelta(hours=37)
+
+        result = td % pd.offsets.Hour(5)
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(hours=2)
+
+    def test_mod_numeric(self):
+        # GH#19365
+        td = Timedelta(hours=37)
+
+        # Numeric Others
+        result = td % 2
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(0)
+
+        result = td % 1e12
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(minutes=3, seconds=20)
+
+        result = td % int(1e12)
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(minutes=3, seconds=20)
+
+    def test_mod_invalid(self):
+        # GH#19365
+        td = Timedelta(hours=37)
+
+        with pytest.raises(TypeError):
+            td % Timestamp("2018-01-22")
+
+        with pytest.raises(TypeError):
+            td % []
+
+    def test_rmod_pytimedelta(self):
+        # GH#19365
+        td = Timedelta(minutes=3)
+
+        result = timedelta(minutes=4) % td
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(minutes=1)
+
+    def test_rmod_timedelta64(self):
+        # GH#19365
+        td = Timedelta(minutes=3)
+        result = np.timedelta64(5, "m") % td
+        assert isinstance(result, Timedelta)
+        assert result == Timedelta(minutes=2)
+
+    def test_rmod_invalid(self):
+        # GH#19365
+        td = Timedelta(minutes=3)
+
+        with pytest.raises(TypeError):
+            Timestamp("2018-01-22") % td
+
+        with pytest.raises(TypeError):
+            15 % td
+
+        with pytest.raises(TypeError):
+            16.0 % td
+
+        with pytest.raises(TypeError):
+            np.array([22, 24]) % td
+
+    # ----------------------------------------------------------------
+    # Timedelta.__divmod__, __rdivmod__
+
+    def test_divmod_numeric(self):
+        # GH#19365
+        td = Timedelta(days=2, hours=6)
+
+        result = divmod(td, 53 * 3600 * 1e9)
+        assert result[0] == Timedelta(1, unit="ns")
+        assert isinstance(result[1], Timedelta)
+        assert result[1] == Timedelta(hours=1)
+
+        assert result
+        result = divmod(td, np.nan)
+        assert result[0] is NaT
+        assert result[1] is NaT
+
+    def test_divmod(self):
+        # GH#19365
+        td = Timedelta(days=2, hours=6)
+
+        result = divmod(td, timedelta(days=1))
+        assert result[0] == 2
+        assert isinstance(result[1], Timedelta)
+        assert result[1] == Timedelta(hours=6)
+
+        result = divmod(td, 54)
+        assert result[0] == Timedelta(hours=1)
+        assert isinstance(result[1], Timedelta)
+        assert result[1] == Timedelta(0)
+
+        result = divmod(td, NaT)
+        assert np.isnan(result[0])
+        assert result[1] is NaT
+
+    def test_divmod_offset(self):
+        # GH#19365
+        td = Timedelta(days=2, hours=6)
+
+        result = divmod(td, pd.offsets.Hour(-4))
+        assert result[0] == -14
+        assert isinstance(result[1], Timedelta)
+        assert result[1] == Timedelta(hours=-2)
+
+    def test_divmod_invalid(self):
+        # GH#19365
+        td = Timedelta(days=2, hours=6)
+
+        with pytest.raises(TypeError):
+            divmod(td, Timestamp("2018-01-22"))
+
+    def test_rdivmod_pytimedelta(self):
+        # GH#19365
+        result = divmod(timedelta(days=2, hours=6), Timedelta(days=1))
+        assert result[0] == 2
+        assert isinstance(result[1], Timedelta)
+        assert result[1] == Timedelta(hours=6)
+
+    def test_rdivmod_offset(self):
+        result = divmod(pd.offsets.Hour(54), Timedelta(hours=-4))
+        assert result[0] == -14
+        assert isinstance(result[1], Timedelta)
+        assert result[1] == Timedelta(hours=-2)
+
+    def test_rdivmod_invalid(self):
+        # GH#19365
+        td = Timedelta(minutes=3)
+
+        with pytest.raises(TypeError):
+            divmod(Timestamp("2018-01-22"), td)
+
+        with pytest.raises(TypeError):
+            divmod(15, td)
+
+        with pytest.raises(TypeError):
+            divmod(16.0, td)
+
+        with pytest.raises(TypeError):
+            divmod(np.array([22, 24]), td)
+
+    # ----------------------------------------------------------------
+
+    @pytest.mark.parametrize(
+        "op", [operator.mul, ops.rmul, operator.truediv, ops.rdiv, ops.rsub]
+    )
+    @pytest.mark.parametrize(
+        "arr",
+        [
+            np.array([Timestamp("20130101 9:01"), Timestamp("20121230 9:02")]),
+            np.array([Timestamp.now(), Timedelta("1D")]),
+        ],
+    )
+    def test_td_op_timedelta_timedeltalike_array(self, op, arr):
+        with pytest.raises(TypeError):
+            op(arr, Timedelta("1D"))

venv/lib/python3.6/site-packages/pandas/tests/scalar/timedelta/test_construction.py

@@ -0,0 +1,276 @@
+from datetime import timedelta
+
+import numpy as np
+import pytest
+
+from pandas import Timedelta, offsets, to_timedelta
+
+
+def test_construction():
+    expected = np.timedelta64(10, "D").astype("m8[ns]").view("i8")
+    assert Timedelta(10, unit="d").value == expected
+    assert Timedelta(10.0, unit="d").value == expected
+    assert Timedelta("10 days").value == expected
+    assert Timedelta(days=10).value == expected
+    assert Timedelta(days=10.0).value == expected
+
+    expected += np.timedelta64(10, "s").astype("m8[ns]").view("i8")
+    assert Timedelta("10 days 00:00:10").value == expected
+    assert Timedelta(days=10, seconds=10).value == expected
+    assert Timedelta(days=10, milliseconds=10 * 1000).value == expected
+    assert Timedelta(days=10, microseconds=10 * 1000 * 1000).value == expected
+
+    # rounding cases
+    assert Timedelta(82739999850000).value == 82739999850000
+    assert "0 days 22:58:59.999850" in str(Timedelta(82739999850000))
+    assert Timedelta(123072001000000).value == 123072001000000
+    assert "1 days 10:11:12.001" in str(Timedelta(123072001000000))
+
+    # string conversion with/without leading zero
+    # GH#9570
+    assert Timedelta("0:00:00") == timedelta(hours=0)
+    assert Timedelta("00:00:00") == timedelta(hours=0)
+    assert Timedelta("-1:00:00") == -timedelta(hours=1)
+    assert Timedelta("-01:00:00") == -timedelta(hours=1)
+
+    # more strings & abbrevs
+    # GH#8190
+    assert Timedelta("1 h") == timedelta(hours=1)
+    assert Timedelta("1 hour") == timedelta(hours=1)
+    assert Timedelta("1 hr") == timedelta(hours=1)
+    assert Timedelta("1 hours") == timedelta(hours=1)
+    assert Timedelta("-1 hours") == -timedelta(hours=1)
+    assert Timedelta("1 m") == timedelta(minutes=1)
+    assert Timedelta("1.5 m") == timedelta(seconds=90)
+    assert Timedelta("1 minute") == timedelta(minutes=1)
+    assert Timedelta("1 minutes") == timedelta(minutes=1)
+    assert Timedelta("1 s") == timedelta(seconds=1)
+    assert Timedelta("1 second") == timedelta(seconds=1)
+    assert Timedelta("1 seconds") == timedelta(seconds=1)
+    assert Timedelta("1 ms") == timedelta(milliseconds=1)
+    assert Timedelta("1 milli") == timedelta(milliseconds=1)
+    assert Timedelta("1 millisecond") == timedelta(milliseconds=1)
+    assert Timedelta("1 us") == timedelta(microseconds=1)
+    assert Timedelta("1 micros") == timedelta(microseconds=1)
+    assert Timedelta("1 microsecond") == timedelta(microseconds=1)
+    assert Timedelta("1.5 microsecond") == Timedelta("00:00:00.000001500")
+    assert Timedelta("1 ns") == Timedelta("00:00:00.000000001")
+    assert Timedelta("1 nano") == Timedelta("00:00:00.000000001")
+    assert Timedelta("1 nanosecond") == Timedelta("00:00:00.000000001")
+
+    # combos
+    assert Timedelta("10 days 1 hour") == timedelta(days=10, hours=1)
+    assert Timedelta("10 days 1 h") == timedelta(days=10, hours=1)
+    assert Timedelta("10 days 1 h 1m 1s") == timedelta(
+        days=10, hours=1, minutes=1, seconds=1
+    )
+    assert Timedelta("-10 days 1 h 1m 1s") == -timedelta(
+        days=10, hours=1, minutes=1, seconds=1
+    )
+    assert Timedelta("-10 days 1 h 1m 1s") == -timedelta(
+        days=10, hours=1, minutes=1, seconds=1
+    )
+    assert Timedelta("-10 days 1 h 1m 1s 3us") == -timedelta(
+        days=10, hours=1, minutes=1, seconds=1, microseconds=3
+    )
+    assert Timedelta("-10 days 1 h 1.5m 1s 3us") == -timedelta(
+        days=10, hours=1, minutes=1, seconds=31, microseconds=3
+    )
+
+    # Currently invalid as it has a - on the hh:mm:dd part
+    # (only allowed on the days)
+    with pytest.raises(ValueError):
+        Timedelta("-10 days -1 h 1.5m 1s 3us")
+
+    # only leading neg signs are allowed
+    with pytest.raises(ValueError):
+        Timedelta("10 days -1 h 1.5m 1s 3us")
+
+    # no units specified
+    with pytest.raises(ValueError):
+        Timedelta("3.1415")
+
+    # invalid construction
+    with pytest.raises(ValueError, match="cannot construct a Timedelta"):
+        Timedelta()
+
+    with pytest.raises(ValueError, match="unit abbreviation w/o a number"):
+        Timedelta("foo")
+
+    msg = (
+        "cannot construct a Timedelta from "
+        "the passed arguments, allowed keywords are "
+    )
+    with pytest.raises(ValueError, match=msg):
+        Timedelta(day=10)
+
+    # floats
+    expected = np.timedelta64(10, "s").astype("m8[ns]").view("i8") + np.timedelta64(
+        500, "ms"
+    ).astype("m8[ns]").view("i8")
+    assert Timedelta(10.5, unit="s").value == expected
+
+    # offset
+    assert to_timedelta(offsets.Hour(2)) == Timedelta(hours=2)
+    assert Timedelta(offsets.Hour(2)) == Timedelta(hours=2)
+    assert Timedelta(offsets.Second(2)) == Timedelta(seconds=2)
+
+    # GH#11995: unicode
+    expected = Timedelta("1H")
+    result = Timedelta("1H")
+    assert result == expected
+    assert to_timedelta(offsets.Hour(2)) == Timedelta("0 days, 02:00:00")
+
+    with pytest.raises(ValueError):
+        Timedelta("foo bar")
+
+
+@pytest.mark.parametrize(
+    "item",
+    list(
+        {
+            "days": "D",
+            "seconds": "s",
+            "microseconds": "us",
+            "milliseconds": "ms",
+            "minutes": "m",
+            "hours": "h",
+            "weeks": "W",
+        }.items()
+    ),
+)
+@pytest.mark.parametrize(
+    "npdtype", [np.int64, np.int32, np.int16, np.float64, np.float32, np.float16]
+)
+def test_td_construction_with_np_dtypes(npdtype, item):
+    # GH#8757: test construction with np dtypes
+    pykwarg, npkwarg = item
+    expected = np.timedelta64(1, npkwarg).astype("m8[ns]").view("i8")
+    assert Timedelta(**{pykwarg: npdtype(1)}).value == expected
+
+
+@pytest.mark.parametrize(
+    "val",
+    [
+        "1s",
+        "-1s",
+        "1us",
+        "-1us",
+        "1 day",
+        "-1 day",
+        "-23:59:59.999999",
+        "-1 days +23:59:59.999999",
+        "-1ns",
+        "1ns",
+        "-23:59:59.999999999",
+    ],
+)
+def test_td_from_repr_roundtrip(val):
+    # round-trip both for string and value
+    td = Timedelta(val)
+    assert Timedelta(td.value) == td
+
+    # str does not normally display nanos
+    if not td.nanoseconds:
+        assert Timedelta(str(td)) == td
+    assert Timedelta(td._repr_base(format="all")) == td
+
+
+def test_overflow_on_construction():
+    # GH#3374
+    value = Timedelta("1day").value * 20169940
+    with pytest.raises(OverflowError):
+        Timedelta(value)
+
+    # xref GH#17637
+    with pytest.raises(OverflowError):
+        Timedelta(7 * 19999, unit="D")
+
+    with pytest.raises(OverflowError):
+        Timedelta(timedelta(days=13 * 19999))
+
+
+@pytest.mark.parametrize(
+    "fmt,exp",
+    [
+        (
+            "P6DT0H50M3.010010012S",
+            Timedelta(
+                days=6,
+                minutes=50,
+                seconds=3,
+                milliseconds=10,
+                microseconds=10,
+                nanoseconds=12,
+            ),
+        ),
+        (
+            "P-6DT0H50M3.010010012S",
+            Timedelta(
+                days=-6,
+                minutes=50,
+                seconds=3,
+                milliseconds=10,
+                microseconds=10,
+                nanoseconds=12,
+            ),
+        ),
+        ("P4DT12H30M5S", Timedelta(days=4, hours=12, minutes=30, seconds=5)),
+        ("P0DT0H0M0.000000123S", Timedelta(nanoseconds=123)),
+        ("P0DT0H0M0.00001S", Timedelta(microseconds=10)),
+        ("P0DT0H0M0.001S", Timedelta(milliseconds=1)),
+        ("P0DT0H1M0S", Timedelta(minutes=1)),
+        ("P1DT25H61M61S", Timedelta(days=1, hours=25, minutes=61, seconds=61)),
+    ],
+)
+def test_iso_constructor(fmt, exp):
+    assert Timedelta(fmt) == exp
+
+
+@pytest.mark.parametrize(
+    "fmt",
+    [
+        "PPPPPPPPPPPP",
+        "PDTHMS",
+        "P0DT999H999M999S",
+        "P1DT0H0M0.0000000000000S",
+        "P1DT0H0M00000000000S",
+        "P1DT0H0M0.S",
+    ],
+)
+def test_iso_constructor_raises(fmt):
+    msg = "Invalid ISO 8601 Duration format - {}".format(fmt)
+    with pytest.raises(ValueError, match=msg):
+        Timedelta(fmt)
+
+
+@pytest.mark.parametrize(
+    "constructed_td, conversion",
+    [
+        (Timedelta(nanoseconds=100), "100ns"),
+        (
+            Timedelta(
+                days=1,
+                hours=1,
+                minutes=1,
+                weeks=1,
+                seconds=1,
+                milliseconds=1,
+                microseconds=1,
+                nanoseconds=1,
+            ),
+            694861001001001,
+        ),
+        (Timedelta(microseconds=1) + Timedelta(nanoseconds=1), "1us1ns"),
+        (Timedelta(microseconds=1) - Timedelta(nanoseconds=1), "999ns"),
+        (Timedelta(microseconds=1) + 5 * Timedelta(nanoseconds=-2), "990ns"),
+    ],
+)
+def test_td_constructor_on_nanoseconds(constructed_td, conversion):
+    # GH#9273
+    assert constructed_td == Timedelta(conversion)
+
+
+def test_td_constructor_value_error():
+    with pytest.raises(TypeError):
+        Timedelta(nanoseconds="abc")

venv/lib/python3.6/site-packages/pandas/tests/scalar/timedelta/test_formats.py

@@ -0,0 +1,44 @@
+import pytest
+
+from pandas import Timedelta
+
+
+@pytest.mark.parametrize(
+    "td, expected_repr",
+    [
+        (Timedelta(10, unit="d"), "Timedelta('10 days 00:00:00')"),
+        (Timedelta(10, unit="s"), "Timedelta('0 days 00:00:10')"),
+        (Timedelta(10, unit="ms"), "Timedelta('0 days 00:00:00.010000')"),
+        (Timedelta(-10, unit="ms"), "Timedelta('-1 days +23:59:59.990000')"),
+    ],
+)
+def test_repr(td, expected_repr):
+    assert repr(td) == expected_repr
+
+
+@pytest.mark.parametrize(
+    "td, expected_iso",
+    [
+        (
+            Timedelta(
+                days=6,
+                minutes=50,
+                seconds=3,
+                milliseconds=10,
+                microseconds=10,
+                nanoseconds=12,
+            ),
+            "P6DT0H50M3.010010012S",
+        ),
+        (Timedelta(days=4, hours=12, minutes=30, seconds=5), "P4DT12H30M5S"),
+        (Timedelta(nanoseconds=123), "P0DT0H0M0.000000123S"),
+        # trim nano
+        (Timedelta(microseconds=10), "P0DT0H0M0.00001S"),
+        # trim micro
+        (Timedelta(milliseconds=1), "P0DT0H0M0.001S"),
+        # don't strip every 0
+        (Timedelta(minutes=1), "P0DT0H1M0S"),
+    ],
+)
+def test_isoformat(td, expected_iso):
+    assert td.isoformat() == expected_iso

venv/lib/python3.6/site-packages/pandas/tests/scalar/timedelta/test_timedelta.py

@@ -0,0 +1,832 @@
+""" test the scalar Timedelta """
+from datetime import timedelta
+import re
+
+import numpy as np
+import pytest
+
+from pandas._libs.tslibs import NaT, iNaT
+
+import pandas as pd
+from pandas import Series, Timedelta, TimedeltaIndex, timedelta_range, to_timedelta
+import pandas.util.testing as tm
+
+
+class TestTimedeltaArithmetic:
+    def test_arithmetic_overflow(self):
+        with pytest.raises(OverflowError):
+            pd.Timestamp("1700-01-01") + pd.Timedelta(13 * 19999, unit="D")
+
+        with pytest.raises(OverflowError):
+            pd.Timestamp("1700-01-01") + timedelta(days=13 * 19999)
+
+    def test_array_timedelta_floordiv(self):
+        # https://github.com/pandas-dev/pandas/issues/19761
+        ints = pd.date_range("2012-10-08", periods=4, freq="D").view("i8")
+        msg = r"Use 'array // timedelta.value'"
+        with tm.assert_produces_warning(FutureWarning) as m:
+            result = ints // pd.Timedelta(1, unit="s")
+
+        assert msg in str(m[0].message)
+        expected = np.array(
+            [1349654400, 1349740800, 1349827200, 1349913600], dtype="i8"
+        )
+        tm.assert_numpy_array_equal(result, expected)
+
+    def test_ops_error_str(self):
+        # GH 13624
+        td = Timedelta("1 day")
+
+        for left, right in [(td, "a"), ("a", td)]:
+
+            with pytest.raises(TypeError):
+                left + right
+
+            with pytest.raises(TypeError):
+                left > right
+
+            assert not left == right
+            assert left != right
+
+    def test_ops_notimplemented(self):
+        class Other:
+            pass
+
+        other = Other()
+
+        td = Timedelta("1 day")
+        assert td.__add__(other) is NotImplemented
+        assert td.__sub__(other) is NotImplemented
+        assert td.__truediv__(other) is NotImplemented
+        assert td.__mul__(other) is NotImplemented
+        assert td.__floordiv__(other) is NotImplemented
+
+    def test_unary_ops(self):
+        td = Timedelta(10, unit="d")
+
+        # __neg__, __pos__
+        assert -td == Timedelta(-10, unit="d")
+        assert -td == Timedelta("-10d")
+        assert +td == Timedelta(10, unit="d")
+
+        # __abs__, __abs__(__neg__)
+        assert abs(td) == td
+        assert abs(-td) == td
+        assert abs(-td) == Timedelta("10d")
+
+
+class TestTimedeltaComparison:
+    def test_compare_tick(self, tick_classes):
+        cls = tick_classes
+
+        off = cls(4)
+        td = off.delta
+        assert isinstance(td, Timedelta)
+
+        assert td == off
+        assert not td != off
+        assert td <= off
+        assert td >= off
+        assert not td < off
+        assert not td > off
+
+        assert not td == 2 * off
+        assert td != 2 * off
+        assert td <= 2 * off
+        assert td < 2 * off
+        assert not td >= 2 * off
+        assert not td > 2 * off
+
+    def test_comparison_object_array(self):
+        # analogous to GH#15183
+        td = Timedelta("2 days")
+        other = Timedelta("3 hours")
+
+        arr = np.array([other, td], dtype=object)
+        res = arr == td
+        expected = np.array([False, True], dtype=bool)
+        assert (res == expected).all()
+
+        # 2D case
+        arr = np.array([[other, td], [td, other]], dtype=object)
+        res = arr != td
+        expected = np.array([[True, False], [False, True]], dtype=bool)
+        assert res.shape == expected.shape
+        assert (res == expected).all()
+
+    def test_compare_timedelta_ndarray(self):
+        # GH11835
+        periods = [Timedelta("0 days 01:00:00"), Timedelta("0 days 01:00:00")]
+        arr = np.array(periods)
+        result = arr[0] > arr
+        expected = np.array([False, False])
+        tm.assert_numpy_array_equal(result, expected)
+
+    @pytest.mark.skip(reason="GH#20829 is reverted until after 0.24.0")
+    def test_compare_custom_object(self):
+        """
+        Make sure non supported operations on Timedelta returns NonImplemented
+        and yields to other operand (GH#20829).
+        """
+
+        class CustomClass:
+            def __init__(self, cmp_result=None):
+                self.cmp_result = cmp_result
+
+            def generic_result(self):
+                if self.cmp_result is None:
+                    return NotImplemented
+                else:
+                    return self.cmp_result
+
+            def __eq__(self, other):
+                return self.generic_result()
+
+            def __gt__(self, other):
+                return self.generic_result()
+
+        t = Timedelta("1s")
+
+        assert not (t == "string")
+        assert not (t == 1)
+        assert not (t == CustomClass())
+        assert not (t == CustomClass(cmp_result=False))
+
+        assert t < CustomClass(cmp_result=True)
+        assert not (t < CustomClass(cmp_result=False))
+
+        assert t == CustomClass(cmp_result=True)
+
+    @pytest.mark.parametrize("val", ["string", 1])
+    def test_compare_unknown_type(self, val):
+        # GH20829
+        t = Timedelta("1s")
+        with pytest.raises(TypeError):
+            t >= val
+        with pytest.raises(TypeError):
+            t > val
+        with pytest.raises(TypeError):
+            t <= val
+        with pytest.raises(TypeError):
+            t < val
+
+
+class TestTimedeltas:
+    @pytest.mark.parametrize(
+        "unit, value, expected",
+        [
+            ("us", 9.999, 9999),
+            ("ms", 9.999999, 9999999),
+            ("s", 9.999999999, 9999999999),
+        ],
+    )
+    def test_rounding_on_int_unit_construction(self, unit, value, expected):
+        # GH 12690
+        result = Timedelta(value, unit=unit)
+        assert result.value == expected
+        result = Timedelta(str(value) + unit)
+        assert result.value == expected
+
+    def test_total_seconds_scalar(self):
+        # see gh-10939
+        rng = Timedelta("1 days, 10:11:12.100123456")
+        expt = 1 * 86400 + 10 * 3600 + 11 * 60 + 12 + 100123456.0 / 1e9
+        tm.assert_almost_equal(rng.total_seconds(), expt)
+
+        rng = Timedelta(np.nan)
+        assert np.isnan(rng.total_seconds())
+
+    def test_conversion(self):
+
+        for td in [Timedelta(10, unit="d"), Timedelta("1 days, 10:11:12.012345")]:
+            pydt = td.to_pytimedelta()
+            assert td == Timedelta(pydt)
+            assert td == pydt
+            assert isinstance(pydt, timedelta) and not isinstance(pydt, Timedelta)
+
+            assert td == np.timedelta64(td.value, "ns")
+            td64 = td.to_timedelta64()
+
+            assert td64 == np.timedelta64(td.value, "ns")
+            assert td == td64
+
+            assert isinstance(td64, np.timedelta64)
+
+        # this is NOT equal and cannot be roundtripped (because of the nanos)
+        td = Timedelta("1 days, 10:11:12.012345678")
+        assert td != td.to_pytimedelta()
+
+    def test_freq_conversion(self):
+
+        # truediv
+        td = Timedelta("1 days 2 hours 3 ns")
+        result = td / np.timedelta64(1, "D")
+        assert result == td.value / float(86400 * 1e9)
+        result = td / np.timedelta64(1, "s")
+        assert result == td.value / float(1e9)
+        result = td / np.timedelta64(1, "ns")
+        assert result == td.value
+
+        # floordiv
+        td = Timedelta("1 days 2 hours 3 ns")
+        result = td // np.timedelta64(1, "D")
+        assert result == 1
+        result = td // np.timedelta64(1, "s")
+        assert result == 93600
+        result = td // np.timedelta64(1, "ns")
+        assert result == td.value
+
+    def test_fields(self):
+        def check(value):
+            # that we are int
+            assert isinstance(value, int)
+
+        # compat to datetime.timedelta
+        rng = to_timedelta("1 days, 10:11:12")
+        assert rng.days == 1
+        assert rng.seconds == 10 * 3600 + 11 * 60 + 12
+        assert rng.microseconds == 0
+        assert rng.nanoseconds == 0
+
+        msg = "'Timedelta' object has no attribute '{}'"
+        with pytest.raises(AttributeError, match=msg.format("hours")):
+            rng.hours
+        with pytest.raises(AttributeError, match=msg.format("minutes")):
+            rng.minutes
+        with pytest.raises(AttributeError, match=msg.format("milliseconds")):
+            rng.milliseconds
+
+        # GH 10050
+        check(rng.days)
+        check(rng.seconds)
+        check(rng.microseconds)
+        check(rng.nanoseconds)
+
+        td = Timedelta("-1 days, 10:11:12")
+        assert abs(td) == Timedelta("13:48:48")
+        assert str(td) == "-1 days +10:11:12"
+        assert -td == Timedelta("0 days 13:48:48")
+        assert -Timedelta("-1 days, 10:11:12").value == 49728000000000
+        assert Timedelta("-1 days, 10:11:12").value == -49728000000000
+
+        rng = to_timedelta("-1 days, 10:11:12.100123456")
+        assert rng.days == -1
+        assert rng.seconds == 10 * 3600 + 11 * 60 + 12
+        assert rng.microseconds == 100 * 1000 + 123
+        assert rng.nanoseconds == 456
+        msg = "'Timedelta' object has no attribute '{}'"
+        with pytest.raises(AttributeError, match=msg.format("hours")):
+            rng.hours
+        with pytest.raises(AttributeError, match=msg.format("minutes")):
+            rng.minutes
+        with pytest.raises(AttributeError, match=msg.format("milliseconds")):
+            rng.milliseconds
+
+        # components
+        tup = pd.to_timedelta(-1, "us").components
+        assert tup.days == -1
+        assert tup.hours == 23
+        assert tup.minutes == 59
+        assert tup.seconds == 59
+        assert tup.milliseconds == 999
+        assert tup.microseconds == 999
+        assert tup.nanoseconds == 0
+
+        # GH 10050
+        check(tup.days)
+        check(tup.hours)
+        check(tup.minutes)
+        check(tup.seconds)
+        check(tup.milliseconds)
+        check(tup.microseconds)
+        check(tup.nanoseconds)
+
+        tup = Timedelta("-1 days 1 us").components
+        assert tup.days == -2
+        assert tup.hours == 23
+        assert tup.minutes == 59
+        assert tup.seconds == 59
+        assert tup.milliseconds == 999
+        assert tup.microseconds == 999
+        assert tup.nanoseconds == 0
+
+    def test_iso_conversion(self):
+        # GH #21877
+        expected = Timedelta(1, unit="s")
+        assert to_timedelta("P0DT0H0M1S") == expected
+
+    def test_nat_converters(self):
+        result = to_timedelta("nat").to_numpy()
+        assert result.dtype.kind == "M"
+        assert result.astype("int64") == iNaT
+
+        result = to_timedelta("nan").to_numpy()
+        assert result.dtype.kind == "M"
+        assert result.astype("int64") == iNaT
+
+    @pytest.mark.filterwarnings("ignore:M and Y units are deprecated")
+    @pytest.mark.parametrize(
+        "units, np_unit",
+        [
+            (["Y", "y"], "Y"),
+            (["M"], "M"),
+            (["W", "w"], "W"),
+            (["D", "d", "days", "day", "Days", "Day"], "D"),
+            (
+                ["m", "minute", "min", "minutes", "t", "Minute", "Min", "Minutes", "T"],
+                "m",
+            ),
+            (["s", "seconds", "sec", "second", "S", "Seconds", "Sec", "Second"], "s"),
+            (
+                [
+                    "ms",
+                    "milliseconds",
+                    "millisecond",
+                    "milli",
+                    "millis",
+                    "l",
+                    "MS",
+                    "Milliseconds",
+                    "Millisecond",
+                    "Milli",
+                    "Millis",
+                    "L",
+                ],
+                "ms",
+            ),
+            (
+                [
+                    "us",
+                    "microseconds",
+                    "microsecond",
+                    "micro",
+                    "micros",
+                    "u",
+                    "US",
+                    "Microseconds",
+                    "Microsecond",
+                    "Micro",
+                    "Micros",
+                    "U",
+                ],
+                "us",
+            ),
+            (
+                [
+                    "ns",
+                    "nanoseconds",
+                    "nanosecond",
+                    "nano",
+                    "nanos",
+                    "n",
+                    "NS",
+                    "Nanoseconds",
+                    "Nanosecond",
+                    "Nano",
+                    "Nanos",
+                    "N",
+                ],
+                "ns",
+            ),
+        ],
+    )
+    @pytest.mark.parametrize("wrapper", [np.array, list, pd.Index])
+    def test_unit_parser(self, units, np_unit, wrapper):
+        # validate all units, GH 6855, GH 21762
+        for unit in units:
+            # array-likes
+            expected = TimedeltaIndex(
+                [np.timedelta64(i, np_unit) for i in np.arange(5).tolist()]
+            )
+            result = to_timedelta(wrapper(range(5)), unit=unit)
+            tm.assert_index_equal(result, expected)
+            result = TimedeltaIndex(wrapper(range(5)), unit=unit)
+            tm.assert_index_equal(result, expected)
+
+            if unit == "M":
+                # M is treated as minutes in string repr
+                expected = TimedeltaIndex(
+                    [np.timedelta64(i, "m") for i in np.arange(5).tolist()]
+                )
+
+            str_repr = ["{}{}".format(x, unit) for x in np.arange(5)]
+            result = to_timedelta(wrapper(str_repr))
+            tm.assert_index_equal(result, expected)
+            result = TimedeltaIndex(wrapper(str_repr))
+            tm.assert_index_equal(result, expected)
+
+            # scalar
+            expected = Timedelta(np.timedelta64(2, np_unit).astype("timedelta64[ns]"))
+
+            result = to_timedelta(2, unit=unit)
+            assert result == expected
+            result = Timedelta(2, unit=unit)
+            assert result == expected
+
+            if unit == "M":
+                expected = Timedelta(np.timedelta64(2, "m").astype("timedelta64[ns]"))
+
+            result = to_timedelta("2{}".format(unit))
+            assert result == expected
+            result = Timedelta("2{}".format(unit))
+            assert result == expected
+
+    @pytest.mark.parametrize("unit", ["Y", "y", "M"])
+    def test_unit_m_y_deprecated(self, unit):
+        with tm.assert_produces_warning(FutureWarning) as w1:
+            Timedelta(10, unit)
+        msg = r".* units are deprecated .*"
+        assert re.match(msg, str(w1[0].message))
+        with tm.assert_produces_warning(FutureWarning, check_stacklevel=False) as w2:
+            to_timedelta(10, unit)
+        msg = r".* units are deprecated .*"
+        assert re.match(msg, str(w2[0].message))
+        with tm.assert_produces_warning(FutureWarning, check_stacklevel=False) as w3:
+            to_timedelta([1, 2], unit)
+        msg = r".* units are deprecated .*"
+        assert re.match(msg, str(w3[0].message))
+
+    def test_numeric_conversions(self):
+        assert Timedelta(0) == np.timedelta64(0, "ns")
+        assert Timedelta(10) == np.timedelta64(10, "ns")
+        assert Timedelta(10, unit="ns") == np.timedelta64(10, "ns")
+
+        assert Timedelta(10, unit="us") == np.timedelta64(10, "us")
+        assert Timedelta(10, unit="ms") == np.timedelta64(10, "ms")
+        assert Timedelta(10, unit="s") == np.timedelta64(10, "s")
+        assert Timedelta(10, unit="d") == np.timedelta64(10, "D")
+
+    def test_timedelta_conversions(self):
+        assert Timedelta(timedelta(seconds=1)) == np.timedelta64(1, "s").astype(
+            "m8[ns]"
+        )
+        assert Timedelta(timedelta(microseconds=1)) == np.timedelta64(1, "us").astype(
+            "m8[ns]"
+        )
+        assert Timedelta(timedelta(days=1)) == np.timedelta64(1, "D").astype("m8[ns]")
+
+    def test_to_numpy_alias(self):
+        # GH 24653: alias .to_numpy() for scalars
+        td = Timedelta("10m7s")
+        assert td.to_timedelta64() == td.to_numpy()
+
+    def test_round(self):
+
+        t1 = Timedelta("1 days 02:34:56.789123456")
+        t2 = Timedelta("-1 days 02:34:56.789123456")
+
+        for (freq, s1, s2) in [
+            ("N", t1, t2),
+            (
+                "U",
+                Timedelta("1 days 02:34:56.789123000"),
+                Timedelta("-1 days 02:34:56.789123000"),
+            ),
+            (
+                "L",
+                Timedelta("1 days 02:34:56.789000000"),
+                Timedelta("-1 days 02:34:56.789000000"),
+            ),
+            ("S", Timedelta("1 days 02:34:57"), Timedelta("-1 days 02:34:57")),
+            ("2S", Timedelta("1 days 02:34:56"), Timedelta("-1 days 02:34:56")),
+            ("5S", Timedelta("1 days 02:34:55"), Timedelta("-1 days 02:34:55")),
+            ("T", Timedelta("1 days 02:35:00"), Timedelta("-1 days 02:35:00")),
+            ("12T", Timedelta("1 days 02:36:00"), Timedelta("-1 days 02:36:00")),
+            ("H", Timedelta("1 days 03:00:00"), Timedelta("-1 days 03:00:00")),
+            ("d", Timedelta("1 days"), Timedelta("-1 days")),
+        ]:
+            r1 = t1.round(freq)
+            assert r1 == s1
+            r2 = t2.round(freq)
+            assert r2 == s2
+
+        # invalid
+        for freq, msg in [
+            ("Y", "<YearEnd: month=12> is a non-fixed frequency"),
+            ("M", "<MonthEnd> is a non-fixed frequency"),
+            ("foobar", "Invalid frequency: foobar"),
+        ]:
+            with pytest.raises(ValueError, match=msg):
+                t1.round(freq)
+
+        t1 = timedelta_range("1 days", periods=3, freq="1 min 2 s 3 us")
+        t2 = -1 * t1
+        t1a = timedelta_range("1 days", periods=3, freq="1 min 2 s")
+        t1c = pd.TimedeltaIndex([1, 1, 1], unit="D")
+
+        # note that negative times round DOWN! so don't give whole numbers
+        for (freq, s1, s2) in [
+            ("N", t1, t2),
+            ("U", t1, t2),
+            (
+                "L",
+                t1a,
+                TimedeltaIndex(
+                    ["-1 days +00:00:00", "-2 days +23:58:58", "-2 days +23:57:56"],
+                    dtype="timedelta64[ns]",
+                    freq=None,
+                ),
+            ),
+            (
+                "S",
+                t1a,
+                TimedeltaIndex(
+                    ["-1 days +00:00:00", "-2 days +23:58:58", "-2 days +23:57:56"],
+                    dtype="timedelta64[ns]",
+                    freq=None,
+                ),
+            ),
+            (
+                "12T",
+                t1c,
+                TimedeltaIndex(
+                    ["-1 days", "-1 days", "-1 days"],
+                    dtype="timedelta64[ns]",
+                    freq=None,
+                ),
+            ),
+            (
+                "H",
+                t1c,
+                TimedeltaIndex(
+                    ["-1 days", "-1 days", "-1 days"],
+                    dtype="timedelta64[ns]",
+                    freq=None,
+                ),
+            ),
+            ("d", t1c, pd.TimedeltaIndex([-1, -1, -1], unit="D")),
+        ]:
+
+            r1 = t1.round(freq)
+            tm.assert_index_equal(r1, s1)
+            r2 = t2.round(freq)
+            tm.assert_index_equal(r2, s2)
+
+        # invalid
+        for freq, msg in [
+            ("Y", "<YearEnd: month=12> is a non-fixed frequency"),
+            ("M", "<MonthEnd> is a non-fixed frequency"),
+            ("foobar", "Invalid frequency: foobar"),
+        ]:
+            with pytest.raises(ValueError, match=msg):
+                t1.round(freq)
+
+    def test_contains(self):
+        # Checking for any NaT-like objects
+        # GH 13603
+        td = to_timedelta(range(5), unit="d") + pd.offsets.Hour(1)
+        for v in [pd.NaT, None, float("nan"), np.nan]:
+            assert not (v in td)
+
+        td = to_timedelta([pd.NaT])
+        for v in [pd.NaT, None, float("nan"), np.nan]:
+            assert v in td
+
+    def test_identity(self):
+
+        td = Timedelta(10, unit="d")
+        assert isinstance(td, Timedelta)
+        assert isinstance(td, timedelta)
+
+    def test_short_format_converters(self):
+        def conv(v):
+            return v.astype("m8[ns]")
+
+        assert Timedelta("10") == np.timedelta64(10, "ns")
+        assert Timedelta("10ns") == np.timedelta64(10, "ns")
+        assert Timedelta("100") == np.timedelta64(100, "ns")
+        assert Timedelta("100ns") == np.timedelta64(100, "ns")
+
+        assert Timedelta("1000") == np.timedelta64(1000, "ns")
+        assert Timedelta("1000ns") == np.timedelta64(1000, "ns")
+        assert Timedelta("1000NS") == np.timedelta64(1000, "ns")
+
+        assert Timedelta("10us") == np.timedelta64(10000, "ns")
+        assert Timedelta("100us") == np.timedelta64(100000, "ns")
+        assert Timedelta("1000us") == np.timedelta64(1000000, "ns")
+        assert Timedelta("1000Us") == np.timedelta64(1000000, "ns")
+        assert Timedelta("1000uS") == np.timedelta64(1000000, "ns")
+
+        assert Timedelta("1ms") == np.timedelta64(1000000, "ns")
+        assert Timedelta("10ms") == np.timedelta64(10000000, "ns")
+        assert Timedelta("100ms") == np.timedelta64(100000000, "ns")
+        assert Timedelta("1000ms") == np.timedelta64(1000000000, "ns")
+
+        assert Timedelta("-1s") == -np.timedelta64(1000000000, "ns")
+        assert Timedelta("1s") == np.timedelta64(1000000000, "ns")
+        assert Timedelta("10s") == np.timedelta64(10000000000, "ns")
+        assert Timedelta("100s") == np.timedelta64(100000000000, "ns")
+        assert Timedelta("1000s") == np.timedelta64(1000000000000, "ns")
+
+        assert Timedelta("1d") == conv(np.timedelta64(1, "D"))
+        assert Timedelta("-1d") == -conv(np.timedelta64(1, "D"))
+        assert Timedelta("1D") == conv(np.timedelta64(1, "D"))
+        assert Timedelta("10D") == conv(np.timedelta64(10, "D"))
+        assert Timedelta("100D") == conv(np.timedelta64(100, "D"))
+        assert Timedelta("1000D") == conv(np.timedelta64(1000, "D"))
+        assert Timedelta("10000D") == conv(np.timedelta64(10000, "D"))
+
+        # space
+        assert Timedelta(" 10000D ") == conv(np.timedelta64(10000, "D"))
+        assert Timedelta(" - 10000D ") == -conv(np.timedelta64(10000, "D"))
+
+        # invalid
+        with pytest.raises(ValueError):
+            Timedelta("1foo")
+        with pytest.raises(ValueError):
+            Timedelta("foo")
+
+    def test_full_format_converters(self):
+        def conv(v):
+            return v.astype("m8[ns]")
+
+        d1 = np.timedelta64(1, "D")
+
+        assert Timedelta("1days") == conv(d1)
+        assert Timedelta("1days,") == conv(d1)
+        assert Timedelta("- 1days,") == -conv(d1)
+
+        assert Timedelta("00:00:01") == conv(np.timedelta64(1, "s"))
+        assert Timedelta("06:00:01") == conv(np.timedelta64(6 * 3600 + 1, "s"))
+        assert Timedelta("06:00:01.0") == conv(np.timedelta64(6 * 3600 + 1, "s"))
+        assert Timedelta("06:00:01.01") == conv(
+            np.timedelta64(1000 * (6 * 3600 + 1) + 10, "ms")
+        )
+
+        assert Timedelta("- 1days, 00:00:01") == conv(-d1 + np.timedelta64(1, "s"))
+        assert Timedelta("1days, 06:00:01") == conv(
+            d1 + np.timedelta64(6 * 3600 + 1, "s")
+        )
+        assert Timedelta("1days, 06:00:01.01") == conv(
+            d1 + np.timedelta64(1000 * (6 * 3600 + 1) + 10, "ms")
+        )
+
+        # invalid
+        with pytest.raises(ValueError):
+            Timedelta("- 1days, 00")
+
+    def test_overflow(self):
+        # GH 9442
+        s = Series(pd.date_range("20130101", periods=100000, freq="H"))
+        s[0] += pd.Timedelta("1s 1ms")
+
+        # mean
+        result = (s - s.min()).mean()
+        expected = pd.Timedelta((pd.TimedeltaIndex((s - s.min())).asi8 / len(s)).sum())
+
+        # the computation is converted to float so
+        # might be some loss of precision
+        assert np.allclose(result.value / 1000, expected.value / 1000)
+
+        # sum
+        msg = "overflow in timedelta operation"
+        with pytest.raises(ValueError, match=msg):
+            (s - s.min()).sum()
+        s1 = s[0:10000]
+        with pytest.raises(ValueError, match=msg):
+            (s1 - s1.min()).sum()
+        s2 = s[0:1000]
+        result = (s2 - s2.min()).sum()
+
+    def test_pickle(self):
+
+        v = Timedelta("1 days 10:11:12.0123456")
+        v_p = tm.round_trip_pickle(v)
+        assert v == v_p
+
+    def test_timedelta_hash_equality(self):
+        # GH 11129
+        v = Timedelta(1, "D")
+        td = timedelta(days=1)
+        assert hash(v) == hash(td)
+
+        d = {td: 2}
+        assert d[v] == 2
+
+        tds = timedelta_range("1 second", periods=20)
+        assert all(hash(td) == hash(td.to_pytimedelta()) for td in tds)
+
+        # python timedeltas drop ns resolution
+        ns_td = Timedelta(1, "ns")
+        assert hash(ns_td) != hash(ns_td.to_pytimedelta())
+
+    def test_implementation_limits(self):
+        min_td = Timedelta(Timedelta.min)
+        max_td = Timedelta(Timedelta.max)
+
+        # GH 12727
+        # timedelta limits correspond to int64 boundaries
+        assert min_td.value == np.iinfo(np.int64).min + 1
+        assert max_td.value == np.iinfo(np.int64).max
+
+        # Beyond lower limit, a NAT before the Overflow
+        assert (min_td - Timedelta(1, "ns")) is NaT
+
+        with pytest.raises(OverflowError):
+            min_td - Timedelta(2, "ns")
+
+        with pytest.raises(OverflowError):
+            max_td + Timedelta(1, "ns")
+
+        # Same tests using the internal nanosecond values
+        td = Timedelta(min_td.value - 1, "ns")
+        assert td is NaT
+
+        with pytest.raises(OverflowError):
+            Timedelta(min_td.value - 2, "ns")
+
+        with pytest.raises(OverflowError):
+            Timedelta(max_td.value + 1, "ns")
+
+    def test_total_seconds_precision(self):
+        # GH 19458
+        assert Timedelta("30S").total_seconds() == 30.0
+        assert Timedelta("0").total_seconds() == 0.0
+        assert Timedelta("-2S").total_seconds() == -2.0
+        assert Timedelta("5.324S").total_seconds() == 5.324
+        assert (Timedelta("30S").total_seconds() - 30.0) < 1e-20
+        assert (30.0 - Timedelta("30S").total_seconds()) < 1e-20
+
+    def test_timedelta_arithmetic(self):
+        data = pd.Series(["nat", "32 days"], dtype="timedelta64[ns]")
+        deltas = [timedelta(days=1), Timedelta(1, unit="D")]
+        for delta in deltas:
+            result_method = data.add(delta)
+            result_operator = data + delta
+            expected = pd.Series(["nat", "33 days"], dtype="timedelta64[ns]")
+            tm.assert_series_equal(result_operator, expected)
+            tm.assert_series_equal(result_method, expected)
+
+            result_method = data.sub(delta)
+            result_operator = data - delta
+            expected = pd.Series(["nat", "31 days"], dtype="timedelta64[ns]")
+            tm.assert_series_equal(result_operator, expected)
+            tm.assert_series_equal(result_method, expected)
+            # GH 9396
+            result_method = data.div(delta)
+            result_operator = data / delta
+            expected = pd.Series([np.nan, 32.0], dtype="float64")
+            tm.assert_series_equal(result_operator, expected)
+            tm.assert_series_equal(result_method, expected)
+
+    def test_apply_to_timedelta(self):
+        timedelta_NaT = pd.to_timedelta("NaT")
+
+        list_of_valid_strings = ["00:00:01", "00:00:02"]
+        a = pd.to_timedelta(list_of_valid_strings)
+        b = Series(list_of_valid_strings).apply(pd.to_timedelta)
+        # Can't compare until apply on a Series gives the correct dtype
+        # assert_series_equal(a, b)
+
+        list_of_strings = ["00:00:01", np.nan, pd.NaT, timedelta_NaT]
+
+        # TODO: unused?
+        a = pd.to_timedelta(list_of_strings)  # noqa
+        b = Series(list_of_strings).apply(pd.to_timedelta)  # noqa
+        # Can't compare until apply on a Series gives the correct dtype
+        # assert_series_equal(a, b)
+
+    def test_components(self):
+        rng = timedelta_range("1 days, 10:11:12", periods=2, freq="s")
+        rng.components
+
+        # with nat
+        s = Series(rng)
+        s[1] = np.nan
+
+        result = s.dt.components
+        assert not result.iloc[0].isna().all()
+        assert result.iloc[1].isna().all()
+
+    def test_resolution_string(self):
+        assert Timedelta(days=1).resolution_string == "D"
+        assert Timedelta(days=1, hours=6).resolution_string == "H"
+        assert Timedelta(days=1, minutes=6).resolution_string == "T"
+        assert Timedelta(days=1, seconds=6).resolution_string == "S"
+        assert Timedelta(days=1, milliseconds=6).resolution_string == "L"
+        assert Timedelta(days=1, microseconds=6).resolution_string == "U"
+        assert Timedelta(days=1, nanoseconds=6).resolution_string == "N"
+
+    def test_resolution_deprecated(self):
+        # GH#21344
+        td = Timedelta(days=4, hours=3)
+        with tm.assert_produces_warning(FutureWarning) as w:
+            td.resolution
+        assert "Use Timedelta.resolution_string instead" in str(w[0].message)
+
+
+@pytest.mark.parametrize(
+    "value, expected",
+    [
+        (Timedelta("10S"), True),
+        (Timedelta("-10S"), True),
+        (Timedelta(10, unit="ns"), True),
+        (Timedelta(0, unit="ns"), False),
+        (Timedelta(-10, unit="ns"), True),
+        (Timedelta(None), True),
+        (pd.NaT, True),
+    ],
+)
+def test_truthiness(value, expected):
+    # https://github.com/pandas-dev/pandas/issues/21484
+    assert bool(value) is expected