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llmeval-env/lib/python3.10/site-packages/pandas/tests/scalar/interval/test_constructors.py

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+import pytest
+
+from pandas import (
+    Interval,
+    Period,
+    Timestamp,
+)
+
+
+class TestIntervalConstructors:
+    @pytest.mark.parametrize(
+        "left, right",
+        [
+            ("a", "z"),
+            (("a", "b"), ("c", "d")),
+            (list("AB"), list("ab")),
+            (Interval(0, 1), Interval(1, 2)),
+            (Period("2018Q1", freq="Q"), Period("2018Q1", freq="Q")),
+        ],
+    )
+    def test_construct_errors(self, left, right):
+        # GH#23013
+        msg = "Only numeric, Timestamp and Timedelta endpoints are allowed"
+        with pytest.raises(ValueError, match=msg):
+            Interval(left, right)
+
+    def test_constructor_errors(self):
+        msg = "invalid option for 'closed': foo"
+        with pytest.raises(ValueError, match=msg):
+            Interval(0, 1, closed="foo")
+
+        msg = "left side of interval must be <= right side"
+        with pytest.raises(ValueError, match=msg):
+            Interval(1, 0)
+
+    @pytest.mark.parametrize(
+        "tz_left, tz_right", [(None, "UTC"), ("UTC", None), ("UTC", "US/Eastern")]
+    )
+    def test_constructor_errors_tz(self, tz_left, tz_right):
+        # GH#18538
+        left = Timestamp("2017-01-01", tz=tz_left)
+        right = Timestamp("2017-01-02", tz=tz_right)
+
+        if tz_left is None or tz_right is None:
+            error = TypeError
+            msg = "Cannot compare tz-naive and tz-aware timestamps"
+        else:
+            error = ValueError
+            msg = "left and right must have the same time zone"
+        with pytest.raises(error, match=msg):
+            Interval(left, right)

llmeval-env/lib/python3.10/site-packages/pandas/tests/scalar/period/test_arithmetic.py

@@ -0,0 +1,486 @@
+from datetime import timedelta
+
+import numpy as np
+import pytest
+
+from pandas._libs.tslibs.period import IncompatibleFrequency
+
+from pandas import (
+    NaT,
+    Period,
+    Timedelta,
+    Timestamp,
+    offsets,
+)
+
+
+class TestPeriodArithmetic:
+    def test_add_overflow_raises(self):
+        # GH#55503
+        per = Timestamp.max.to_period("ns")
+
+        msg = "|".join(
+            [
+                "Python int too large to convert to C long",
+                # windows, 32bit linux builds
+                "int too big to convert",
+            ]
+        )
+        with pytest.raises(OverflowError, match=msg):
+            per + 1
+
+        msg = "value too large"
+        with pytest.raises(OverflowError, match=msg):
+            per + Timedelta(1)
+        with pytest.raises(OverflowError, match=msg):
+            per + offsets.Nano(1)
+
+    def test_period_add_integer(self):
+        per1 = Period(freq="D", year=2008, month=1, day=1)
+        per2 = Period(freq="D", year=2008, month=1, day=2)
+        assert per1 + 1 == per2
+        assert 1 + per1 == per2
+
+    def test_period_add_invalid(self):
+        # GH#4731
+        per1 = Period(freq="D", year=2008, month=1, day=1)
+        per2 = Period(freq="D", year=2008, month=1, day=2)
+
+        msg = "|".join(
+            [
+                r"unsupported operand type\(s\)",
+                "can only concatenate str",
+                "must be str, not Period",
+            ]
+        )
+        with pytest.raises(TypeError, match=msg):
+            per1 + "str"
+        with pytest.raises(TypeError, match=msg):
+            "str" + per1
+        with pytest.raises(TypeError, match=msg):
+            per1 + per2
+
+    def test_period_sub_period_annual(self):
+        left, right = Period("2011", freq="Y"), Period("2007", freq="Y")
+        result = left - right
+        assert result == 4 * right.freq
+
+        msg = r"Input has different freq=M from Period\(freq=Y-DEC\)"
+        with pytest.raises(IncompatibleFrequency, match=msg):
+            left - Period("2007-01", freq="M")
+
+    def test_period_sub_period(self):
+        per1 = Period("2011-01-01", freq="D")
+        per2 = Period("2011-01-15", freq="D")
+
+        off = per1.freq
+        assert per1 - per2 == -14 * off
+        assert per2 - per1 == 14 * off
+
+        msg = r"Input has different freq=M from Period\(freq=D\)"
+        with pytest.raises(IncompatibleFrequency, match=msg):
+            per1 - Period("2011-02", freq="M")
+
+    @pytest.mark.parametrize("n", [1, 2, 3, 4])
+    def test_sub_n_gt_1_ticks(self, tick_classes, n):
+        # GH#23878
+        p1 = Period("19910905", freq=tick_classes(n))
+        p2 = Period("19920406", freq=tick_classes(n))
+
+        expected = Period(str(p2), freq=p2.freq.base) - Period(
+            str(p1), freq=p1.freq.base
+        )
+
+        assert (p2 - p1) == expected
+
+    @pytest.mark.parametrize("normalize", [True, False])
+    @pytest.mark.parametrize("n", [1, 2, 3, 4])
+    @pytest.mark.parametrize(
+        "offset, kwd_name",
+        [
+            (offsets.YearEnd, "month"),
+            (offsets.QuarterEnd, "startingMonth"),
+            (offsets.MonthEnd, None),
+            (offsets.Week, "weekday"),
+        ],
+    )
+    def test_sub_n_gt_1_offsets(self, offset, kwd_name, n, normalize):
+        # GH#23878
+        kwds = {kwd_name: 3} if kwd_name is not None else {}
+        p1_d = "19910905"
+        p2_d = "19920406"
+        p1 = Period(p1_d, freq=offset(n, normalize, **kwds))
+        p2 = Period(p2_d, freq=offset(n, normalize, **kwds))
+
+        expected = Period(p2_d, freq=p2.freq.base) - Period(p1_d, freq=p1.freq.base)
+
+        assert (p2 - p1) == expected
+
+    def test_period_add_offset(self):
+        # freq is DateOffset
+        for freq in ["Y", "2Y", "3Y"]:
+            per = Period("2011", freq=freq)
+            exp = Period("2013", freq=freq)
+            assert per + offsets.YearEnd(2) == exp
+            assert offsets.YearEnd(2) + per == exp
+
+            for off in [
+                offsets.YearBegin(2),
+                offsets.MonthBegin(1),
+                offsets.Minute(),
+                np.timedelta64(365, "D"),
+                timedelta(365),
+            ]:
+                msg = "Input has different freq|Input cannot be converted to Period"
+                with pytest.raises(IncompatibleFrequency, match=msg):
+                    per + off
+                with pytest.raises(IncompatibleFrequency, match=msg):
+                    off + per
+
+        for freq in ["M", "2M", "3M"]:
+            per = Period("2011-03", freq=freq)
+            exp = Period("2011-05", freq=freq)
+            assert per + offsets.MonthEnd(2) == exp
+            assert offsets.MonthEnd(2) + per == exp
+
+            exp = Period("2012-03", freq=freq)
+            assert per + offsets.MonthEnd(12) == exp
+            assert offsets.MonthEnd(12) + per == exp
+
+            msg = "|".join(
+                [
+                    "Input has different freq",
+                    "Input cannot be converted to Period",
+                ]
+            )
+
+            for off in [
+                offsets.YearBegin(2),
+                offsets.MonthBegin(1),
+                offsets.Minute(),
+                np.timedelta64(365, "D"),
+                timedelta(365),
+            ]:
+                with pytest.raises(IncompatibleFrequency, match=msg):
+                    per + off
+                with pytest.raises(IncompatibleFrequency, match=msg):
+                    off + per
+
+        # freq is Tick
+        for freq in ["D", "2D", "3D"]:
+            per = Period("2011-04-01", freq=freq)
+
+            exp = Period("2011-04-06", freq=freq)
+            assert per + offsets.Day(5) == exp
+            assert offsets.Day(5) + per == exp
+
+            exp = Period("2011-04-02", freq=freq)
+            assert per + offsets.Hour(24) == exp
+            assert offsets.Hour(24) + per == exp
+
+            exp = Period("2011-04-03", freq=freq)
+            assert per + np.timedelta64(2, "D") == exp
+            assert np.timedelta64(2, "D") + per == exp
+
+            exp = Period("2011-04-02", freq=freq)
+            assert per + np.timedelta64(3600 * 24, "s") == exp
+            assert np.timedelta64(3600 * 24, "s") + per == exp
+
+            exp = Period("2011-03-30", freq=freq)
+            assert per + timedelta(-2) == exp
+            assert timedelta(-2) + per == exp
+
+            exp = Period("2011-04-03", freq=freq)
+            assert per + timedelta(hours=48) == exp
+            assert timedelta(hours=48) + per == exp
+
+            msg = "|".join(
+                [
+                    "Input has different freq",
+                    "Input cannot be converted to Period",
+                ]
+            )
+
+            for off in [
+                offsets.YearBegin(2),
+                offsets.MonthBegin(1),
+                offsets.Minute(),
+                np.timedelta64(4, "h"),
+                timedelta(hours=23),
+            ]:
+                with pytest.raises(IncompatibleFrequency, match=msg):
+                    per + off
+                with pytest.raises(IncompatibleFrequency, match=msg):
+                    off + per
+
+        for freq in ["h", "2h", "3h"]:
+            per = Period("2011-04-01 09:00", freq=freq)
+
+            exp = Period("2011-04-03 09:00", freq=freq)
+            assert per + offsets.Day(2) == exp
+            assert offsets.Day(2) + per == exp
+
+            exp = Period("2011-04-01 12:00", freq=freq)
+            assert per + offsets.Hour(3) == exp
+            assert offsets.Hour(3) + per == exp
+
+            msg = "cannot use operands with types"
+            exp = Period("2011-04-01 12:00", freq=freq)
+            assert per + np.timedelta64(3, "h") == exp
+            assert np.timedelta64(3, "h") + per == exp
+
+            exp = Period("2011-04-01 10:00", freq=freq)
+            assert per + np.timedelta64(3600, "s") == exp
+            assert np.timedelta64(3600, "s") + per == exp
+
+            exp = Period("2011-04-01 11:00", freq=freq)
+            assert per + timedelta(minutes=120) == exp
+            assert timedelta(minutes=120) + per == exp
+
+            exp = Period("2011-04-05 12:00", freq=freq)
+            assert per + timedelta(days=4, minutes=180) == exp
+            assert timedelta(days=4, minutes=180) + per == exp
+
+            msg = "|".join(
+                [
+                    "Input has different freq",
+                    "Input cannot be converted to Period",
+                ]
+            )
+
+            for off in [
+                offsets.YearBegin(2),
+                offsets.MonthBegin(1),
+                offsets.Minute(),
+                np.timedelta64(3200, "s"),
+                timedelta(hours=23, minutes=30),
+            ]:
+                with pytest.raises(IncompatibleFrequency, match=msg):
+                    per + off
+                with pytest.raises(IncompatibleFrequency, match=msg):
+                    off + per
+
+    def test_period_sub_offset(self):
+        # freq is DateOffset
+        msg = "|".join(
+            [
+                "Input has different freq",
+                "Input cannot be converted to Period",
+            ]
+        )
+
+        for freq in ["Y", "2Y", "3Y"]:
+            per = Period("2011", freq=freq)
+            assert per - offsets.YearEnd(2) == Period("2009", freq=freq)
+
+            for off in [
+                offsets.YearBegin(2),
+                offsets.MonthBegin(1),
+                offsets.Minute(),
+                np.timedelta64(365, "D"),
+                timedelta(365),
+            ]:
+                with pytest.raises(IncompatibleFrequency, match=msg):
+                    per - off
+
+        for freq in ["M", "2M", "3M"]:
+            per = Period("2011-03", freq=freq)
+            assert per - offsets.MonthEnd(2) == Period("2011-01", freq=freq)
+            assert per - offsets.MonthEnd(12) == Period("2010-03", freq=freq)
+
+            for off in [
+                offsets.YearBegin(2),
+                offsets.MonthBegin(1),
+                offsets.Minute(),
+                np.timedelta64(365, "D"),
+                timedelta(365),
+            ]:
+                with pytest.raises(IncompatibleFrequency, match=msg):
+                    per - off
+
+        # freq is Tick
+        for freq in ["D", "2D", "3D"]:
+            per = Period("2011-04-01", freq=freq)
+            assert per - offsets.Day(5) == Period("2011-03-27", freq=freq)
+            assert per - offsets.Hour(24) == Period("2011-03-31", freq=freq)
+            assert per - np.timedelta64(2, "D") == Period("2011-03-30", freq=freq)
+            assert per - np.timedelta64(3600 * 24, "s") == Period(
+                "2011-03-31", freq=freq
+            )
+            assert per - timedelta(-2) == Period("2011-04-03", freq=freq)
+            assert per - timedelta(hours=48) == Period("2011-03-30", freq=freq)
+
+            for off in [
+                offsets.YearBegin(2),
+                offsets.MonthBegin(1),
+                offsets.Minute(),
+                np.timedelta64(4, "h"),
+                timedelta(hours=23),
+            ]:
+                with pytest.raises(IncompatibleFrequency, match=msg):
+                    per - off
+
+        for freq in ["h", "2h", "3h"]:
+            per = Period("2011-04-01 09:00", freq=freq)
+            assert per - offsets.Day(2) == Period("2011-03-30 09:00", freq=freq)
+            assert per - offsets.Hour(3) == Period("2011-04-01 06:00", freq=freq)
+            assert per - np.timedelta64(3, "h") == Period("2011-04-01 06:00", freq=freq)
+            assert per - np.timedelta64(3600, "s") == Period(
+                "2011-04-01 08:00", freq=freq
+            )
+            assert per - timedelta(minutes=120) == Period("2011-04-01 07:00", freq=freq)
+            assert per - timedelta(days=4, minutes=180) == Period(
+                "2011-03-28 06:00", freq=freq
+            )
+
+            for off in [
+                offsets.YearBegin(2),
+                offsets.MonthBegin(1),
+                offsets.Minute(),
+                np.timedelta64(3200, "s"),
+                timedelta(hours=23, minutes=30),
+            ]:
+                with pytest.raises(IncompatibleFrequency, match=msg):
+                    per - off
+
+    @pytest.mark.parametrize("freq", ["M", "2M", "3M"])
+    def test_period_addsub_nat(self, freq):
+        # GH#13071
+        per = Period("2011-01", freq=freq)
+
+        # For subtraction, NaT is treated as another Period object
+        assert NaT - per is NaT
+        assert per - NaT is NaT
+
+        # For addition, NaT is treated as offset-like
+        assert NaT + per is NaT
+        assert per + NaT is NaT
+
+    @pytest.mark.parametrize("unit", ["ns", "us", "ms", "s", "m"])
+    def test_period_add_sub_td64_nat(self, unit):
+        # GH#47196
+        per = Period("2022-06-01", "D")
+        nat = np.timedelta64("NaT", unit)
+
+        assert per + nat is NaT
+        assert nat + per is NaT
+        assert per - nat is NaT
+
+        with pytest.raises(TypeError, match="unsupported operand"):
+            nat - per
+
+    def test_period_ops_offset(self):
+        per = Period("2011-04-01", freq="D")
+        result = per + offsets.Day()
+        exp = Period("2011-04-02", freq="D")
+        assert result == exp
+
+        result = per - offsets.Day(2)
+        exp = Period("2011-03-30", freq="D")
+        assert result == exp
+
+        msg = r"Input cannot be converted to Period\(freq=D\)"
+        with pytest.raises(IncompatibleFrequency, match=msg):
+            per + offsets.Hour(2)
+
+        with pytest.raises(IncompatibleFrequency, match=msg):
+            per - offsets.Hour(2)
+
+    def test_period_add_timestamp_raises(self):
+        # GH#17983
+        ts = Timestamp("2017")
+        per = Period("2017", freq="M")
+
+        msg = r"unsupported operand type\(s\) for \+: 'Timestamp' and 'Period'"
+        with pytest.raises(TypeError, match=msg):
+            ts + per
+
+        msg = r"unsupported operand type\(s\) for \+: 'Period' and 'Timestamp'"
+        with pytest.raises(TypeError, match=msg):
+            per + ts
+
+
+class TestPeriodComparisons:
+    def test_period_comparison_same_freq(self):
+        jan = Period("2000-01", "M")
+        feb = Period("2000-02", "M")
+
+        assert not jan == feb
+        assert jan != feb
+        assert jan < feb
+        assert jan <= feb
+        assert not jan > feb
+        assert not jan >= feb
+
+    def test_period_comparison_same_period_different_object(self):
+        # Separate Period objects for the same period
+        left = Period("2000-01", "M")
+        right = Period("2000-01", "M")
+
+        assert left == right
+        assert left >= right
+        assert left <= right
+        assert not left < right
+        assert not left > right
+
+    def test_period_comparison_mismatched_freq(self):
+        jan = Period("2000-01", "M")
+        day = Period("2012-01-01", "D")
+
+        assert not jan == day
+        assert jan != day
+        msg = r"Input has different freq=D from Period\(freq=M\)"
+        with pytest.raises(IncompatibleFrequency, match=msg):
+            jan < day
+        with pytest.raises(IncompatibleFrequency, match=msg):
+            jan <= day
+        with pytest.raises(IncompatibleFrequency, match=msg):
+            jan > day
+        with pytest.raises(IncompatibleFrequency, match=msg):
+            jan >= day
+
+    def test_period_comparison_invalid_type(self):
+        jan = Period("2000-01", "M")
+
+        assert not jan == 1
+        assert jan != 1
+
+        int_or_per = "'(Period|int)'"
+        msg = f"not supported between instances of {int_or_per} and {int_or_per}"
+        for left, right in [(jan, 1), (1, jan)]:
+            with pytest.raises(TypeError, match=msg):
+                left > right
+            with pytest.raises(TypeError, match=msg):
+                left >= right
+            with pytest.raises(TypeError, match=msg):
+                left < right
+            with pytest.raises(TypeError, match=msg):
+                left <= right
+
+    def test_period_comparison_nat(self):
+        per = Period("2011-01-01", freq="D")
+
+        ts = Timestamp("2011-01-01")
+        # confirm Period('NaT') work identical with Timestamp('NaT')
+        for left, right in [
+            (NaT, per),
+            (per, NaT),
+            (NaT, ts),
+            (ts, NaT),
+        ]:
+            assert not left < right
+            assert not left > right
+            assert not left == right
+            assert left != right
+            assert not left <= right
+            assert not left >= right
+
+    @pytest.mark.parametrize(
+        "zerodim_arr, expected",
+        ((np.array(0), False), (np.array(Period("2000-01", "M")), True)),
+    )
+    def test_period_comparison_numpy_zerodim_arr(self, zerodim_arr, expected):
+        per = Period("2000-01", "M")
+
+        assert (per == zerodim_arr) is expected
+        assert (zerodim_arr == per) is expected

llmeval-env/lib/python3.10/site-packages/pandas/tests/scalar/test_na_scalar.py

@@ -0,0 +1,316 @@
+from datetime import (
+    date,
+    time,
+    timedelta,
+)
+import pickle
+
+import numpy as np
+import pytest
+
+from pandas._libs.missing import NA
+
+from pandas.core.dtypes.common import is_scalar
+
+import pandas as pd
+import pandas._testing as tm
+
+
+def test_singleton():
+    assert NA is NA
+    new_NA = type(NA)()
+    assert new_NA is NA
+
+
+def test_repr():
+    assert repr(NA) == "<NA>"
+    assert str(NA) == "<NA>"
+
+
+def test_format():
+    # GH-34740
+    assert format(NA) == "<NA>"
+    assert format(NA, ">10") == "      <NA>"
+    assert format(NA, "xxx") == "<NA>"  # NA is flexible, accept any format spec
+
+    assert f"{NA}" == "<NA>"
+    assert f"{NA:>10}" == "      <NA>"
+    assert f"{NA:xxx}" == "<NA>"
+
+
+def test_truthiness():
+    msg = "boolean value of NA is ambiguous"
+
+    with pytest.raises(TypeError, match=msg):
+        bool(NA)
+
+    with pytest.raises(TypeError, match=msg):
+        not NA
+
+
+def test_hashable():
+    assert hash(NA) == hash(NA)
+    d = {NA: "test"}
+    assert d[NA] == "test"
+
+
+@pytest.mark.parametrize(
+    "other", [NA, 1, 1.0, "a", b"a", np.int64(1), np.nan], ids=repr
+)
+def test_arithmetic_ops(all_arithmetic_functions, other):
+    op = all_arithmetic_functions
+
+    if op.__name__ in ("pow", "rpow", "rmod") and isinstance(other, (str, bytes)):
+        pytest.skip(reason=f"{op.__name__} with NA and {other} not defined.")
+    if op.__name__ in ("divmod", "rdivmod"):
+        assert op(NA, other) is (NA, NA)
+    else:
+        if op.__name__ == "rpow":
+            # avoid special case
+            other += 1
+        assert op(NA, other) is NA
+
+
+@pytest.mark.parametrize(
+    "other",
+    [
+        NA,
+        1,
+        1.0,
+        "a",
+        b"a",
+        np.int64(1),
+        np.nan,
+        np.bool_(True),
+        time(0),
+        date(1, 2, 3),
+        timedelta(1),
+        pd.NaT,
+    ],
+)
+def test_comparison_ops(comparison_op, other):
+    assert comparison_op(NA, other) is NA
+    assert comparison_op(other, NA) is NA
+
+
+@pytest.mark.parametrize(
+    "value",
+    [
+        0,
+        0.0,
+        -0,
+        -0.0,
+        False,
+        np.bool_(False),
+        np.int_(0),
+        np.float64(0),
+        np.int_(-0),
+        np.float64(-0),
+    ],
+)
+@pytest.mark.parametrize("asarray", [True, False])
+def test_pow_special(value, asarray):
+    if asarray:
+        value = np.array([value])
+    result = NA**value
+
+    if asarray:
+        result = result[0]
+    else:
+        # this assertion isn't possible for ndarray.
+        assert isinstance(result, type(value))
+    assert result == 1
+
+
+@pytest.mark.parametrize(
+    "value", [1, 1.0, True, np.bool_(True), np.int_(1), np.float64(1)]
+)
+@pytest.mark.parametrize("asarray", [True, False])
+def test_rpow_special(value, asarray):
+    if asarray:
+        value = np.array([value])
+    result = value**NA
+
+    if asarray:
+        result = result[0]
+    elif not isinstance(value, (np.float64, np.bool_, np.int_)):
+        # this assertion isn't possible with asarray=True
+        assert isinstance(result, type(value))
+
+    assert result == value
+
+
+@pytest.mark.parametrize("value", [-1, -1.0, np.int_(-1), np.float64(-1)])
+@pytest.mark.parametrize("asarray", [True, False])
+def test_rpow_minus_one(value, asarray):
+    if asarray:
+        value = np.array([value])
+    result = value**NA
+
+    if asarray:
+        result = result[0]
+
+    assert pd.isna(result)
+
+
+def test_unary_ops():
+    assert +NA is NA
+    assert -NA is NA
+    assert abs(NA) is NA
+    assert ~NA is NA
+
+
+def test_logical_and():
+    assert NA & True is NA
+    assert True & NA is NA
+    assert NA & False is False
+    assert False & NA is False
+    assert NA & NA is NA
+
+    msg = "unsupported operand type"
+    with pytest.raises(TypeError, match=msg):
+        NA & 5
+
+
+def test_logical_or():
+    assert NA | True is True
+    assert True | NA is True
+    assert NA | False is NA
+    assert False | NA is NA
+    assert NA | NA is NA
+
+    msg = "unsupported operand type"
+    with pytest.raises(TypeError, match=msg):
+        NA | 5
+
+
+def test_logical_xor():
+    assert NA ^ True is NA
+    assert True ^ NA is NA
+    assert NA ^ False is NA
+    assert False ^ NA is NA
+    assert NA ^ NA is NA
+
+    msg = "unsupported operand type"
+    with pytest.raises(TypeError, match=msg):
+        NA ^ 5
+
+
+def test_logical_not():
+    assert ~NA is NA
+
+
+@pytest.mark.parametrize("shape", [(3,), (3, 3), (1, 2, 3)])
+def test_arithmetic_ndarray(shape, all_arithmetic_functions):
+    op = all_arithmetic_functions
+    a = np.zeros(shape)
+    if op.__name__ == "pow":
+        a += 5
+    result = op(NA, a)
+    expected = np.full(a.shape, NA, dtype=object)
+    tm.assert_numpy_array_equal(result, expected)
+
+
+def test_is_scalar():
+    assert is_scalar(NA) is True
+
+
+def test_isna():
+    assert pd.isna(NA) is True
+    assert pd.notna(NA) is False
+
+
+def test_series_isna():
+    s = pd.Series([1, NA], dtype=object)
+    expected = pd.Series([False, True])
+    tm.assert_series_equal(s.isna(), expected)
+
+
+def test_ufunc():
+    assert np.log(NA) is NA
+    assert np.add(NA, 1) is NA
+    result = np.divmod(NA, 1)
+    assert result[0] is NA and result[1] is NA
+
+    result = np.frexp(NA)
+    assert result[0] is NA and result[1] is NA
+
+
+def test_ufunc_raises():
+    msg = "ufunc method 'at'"
+    with pytest.raises(ValueError, match=msg):
+        np.log.at(NA, 0)
+
+
+def test_binary_input_not_dunder():
+    a = np.array([1, 2, 3])
+    expected = np.array([NA, NA, NA], dtype=object)
+    result = np.logaddexp(a, NA)
+    tm.assert_numpy_array_equal(result, expected)
+
+    result = np.logaddexp(NA, a)
+    tm.assert_numpy_array_equal(result, expected)
+
+    # all NA, multiple inputs
+    assert np.logaddexp(NA, NA) is NA
+
+    result = np.modf(NA, NA)
+    assert len(result) == 2
+    assert all(x is NA for x in result)
+
+
+def test_divmod_ufunc():
+    # binary in, binary out.
+    a = np.array([1, 2, 3])
+    expected = np.array([NA, NA, NA], dtype=object)
+
+    result = np.divmod(a, NA)
+    assert isinstance(result, tuple)
+    for arr in result:
+        tm.assert_numpy_array_equal(arr, expected)
+        tm.assert_numpy_array_equal(arr, expected)
+
+    result = np.divmod(NA, a)
+    for arr in result:
+        tm.assert_numpy_array_equal(arr, expected)
+        tm.assert_numpy_array_equal(arr, expected)
+
+
+def test_integer_hash_collision_dict():
+    # GH 30013
+    result = {NA: "foo", hash(NA): "bar"}
+
+    assert result[NA] == "foo"
+    assert result[hash(NA)] == "bar"
+
+
+def test_integer_hash_collision_set():
+    # GH 30013
+    result = {NA, hash(NA)}
+
+    assert len(result) == 2
+    assert NA in result
+    assert hash(NA) in result
+
+
+def test_pickle_roundtrip():
+    # https://github.com/pandas-dev/pandas/issues/31847
+    result = pickle.loads(pickle.dumps(NA))
+    assert result is NA
+
+
+def test_pickle_roundtrip_pandas():
+    result = tm.round_trip_pickle(NA)
+    assert result is NA
+
+
+@pytest.mark.parametrize(
+    "values, dtype", [([1, 2, NA], "Int64"), (["A", "B", NA], "string")]
+)
+@pytest.mark.parametrize("as_frame", [True, False])
+def test_pickle_roundtrip_containers(as_frame, values, dtype):
+    s = pd.Series(pd.array(values, dtype=dtype))
+    if as_frame:
+        s = s.to_frame(name="A")
+    result = tm.round_trip_pickle(s)
+    tm.assert_equal(result, s)

llmeval-env/lib/python3.10/site-packages/pandas/tests/scalar/test_nat.py

@@ -0,0 +1,709 @@
+from datetime import (
+    datetime,
+    timedelta,
+)
+import operator
+
+import numpy as np
+import pytest
+import pytz
+
+from pandas._libs.tslibs import iNaT
+from pandas.compat.numpy import np_version_gte1p24p3
+
+from pandas import (
+    DatetimeIndex,
+    DatetimeTZDtype,
+    Index,
+    NaT,
+    Period,
+    Series,
+    Timedelta,
+    TimedeltaIndex,
+    Timestamp,
+    isna,
+    offsets,
+)
+import pandas._testing as tm
+from pandas.core import roperator
+from pandas.core.arrays import (
+    DatetimeArray,
+    PeriodArray,
+    TimedeltaArray,
+)
+
+
+class TestNaTFormatting:
+    def test_repr(self):
+        assert repr(NaT) == "NaT"
+
+    def test_str(self):
+        assert str(NaT) == "NaT"
+
+    def test_isoformat(self):
+        assert NaT.isoformat() == "NaT"
+
+
+@pytest.mark.parametrize(
+    "nat,idx",
+    [
+        (Timestamp("NaT"), DatetimeArray),
+        (Timedelta("NaT"), TimedeltaArray),
+        (Period("NaT", freq="M"), PeriodArray),
+    ],
+)
+def test_nat_fields(nat, idx):
+    for field in idx._field_ops:
+        # weekday is a property of DTI, but a method
+        # on NaT/Timestamp for compat with datetime
+        if field == "weekday":
+            continue
+
+        result = getattr(NaT, field)
+        assert np.isnan(result)
+
+        result = getattr(nat, field)
+        assert np.isnan(result)
+
+    for field in idx._bool_ops:
+        result = getattr(NaT, field)
+        assert result is False
+
+        result = getattr(nat, field)
+        assert result is False
+
+
+def test_nat_vector_field_access():
+    idx = DatetimeIndex(["1/1/2000", None, None, "1/4/2000"])
+
+    for field in DatetimeArray._field_ops:
+        # weekday is a property of DTI, but a method
+        # on NaT/Timestamp for compat with datetime
+        if field == "weekday":
+            continue
+
+        result = getattr(idx, field)
+        expected = Index([getattr(x, field) for x in idx])
+        tm.assert_index_equal(result, expected)
+
+    ser = Series(idx)
+
+    for field in DatetimeArray._field_ops:
+        # weekday is a property of DTI, but a method
+        # on NaT/Timestamp for compat with datetime
+        if field == "weekday":
+            continue
+
+        result = getattr(ser.dt, field)
+        expected = [getattr(x, field) for x in idx]
+        tm.assert_series_equal(result, Series(expected))
+
+    for field in DatetimeArray._bool_ops:
+        result = getattr(ser.dt, field)
+        expected = [getattr(x, field) for x in idx]
+        tm.assert_series_equal(result, Series(expected))
+
+
+@pytest.mark.parametrize("klass", [Timestamp, Timedelta, Period])
+@pytest.mark.parametrize(
+    "value", [None, np.nan, iNaT, float("nan"), NaT, "NaT", "nat", "", "NAT"]
+)
+def test_identity(klass, value):
+    assert klass(value) is NaT
+
+
+@pytest.mark.parametrize("klass", [Timestamp, Timedelta])
+@pytest.mark.parametrize("method", ["round", "floor", "ceil"])
+@pytest.mark.parametrize("freq", ["s", "5s", "min", "5min", "h", "5h"])
+def test_round_nat(klass, method, freq):
+    # see gh-14940
+    ts = klass("nat")
+
+    round_method = getattr(ts, method)
+    assert round_method(freq) is ts
+
+
+@pytest.mark.parametrize(
+    "method",
+    [
+        "astimezone",
+        "combine",
+        "ctime",
+        "dst",
+        "fromordinal",
+        "fromtimestamp",
+        "fromisocalendar",
+        "isocalendar",
+        "strftime",
+        "strptime",
+        "time",
+        "timestamp",
+        "timetuple",
+        "timetz",
+        "toordinal",
+        "tzname",
+        "utcfromtimestamp",
+        "utcnow",
+        "utcoffset",
+        "utctimetuple",
+        "timestamp",
+    ],
+)
+def test_nat_methods_raise(method):
+    # see gh-9513, gh-17329
+    msg = f"NaTType does not support {method}"
+
+    with pytest.raises(ValueError, match=msg):
+        getattr(NaT, method)()
+
+
+@pytest.mark.parametrize("method", ["weekday", "isoweekday"])
+def test_nat_methods_nan(method):
+    # see gh-9513, gh-17329
+    assert np.isnan(getattr(NaT, method)())
+
+
+@pytest.mark.parametrize(
+    "method", ["date", "now", "replace", "today", "tz_convert", "tz_localize"]
+)
+def test_nat_methods_nat(method):
+    # see gh-8254, gh-9513, gh-17329
+    assert getattr(NaT, method)() is NaT
+
+
+@pytest.mark.parametrize(
+    "get_nat", [lambda x: NaT, lambda x: Timedelta(x), lambda x: Timestamp(x)]
+)
+def test_nat_iso_format(get_nat):
+    # see gh-12300
+    assert get_nat("NaT").isoformat() == "NaT"
+    assert get_nat("NaT").isoformat(timespec="nanoseconds") == "NaT"
+
+
+@pytest.mark.parametrize(
+    "klass,expected",
+    [
+        (Timestamp, ["normalize", "to_julian_date", "to_period", "unit"]),
+        (
+            Timedelta,
+            [
+                "components",
+                "resolution_string",
+                "to_pytimedelta",
+                "to_timedelta64",
+                "unit",
+                "view",
+            ],
+        ),
+    ],
+)
+def test_missing_public_nat_methods(klass, expected):
+    # see gh-17327
+    #
+    # NaT should have *most* of the Timestamp and Timedelta methods.
+    # Here, we check which public methods NaT does not have. We
+    # ignore any missing private methods.
+    nat_names = dir(NaT)
+    klass_names = dir(klass)
+
+    missing = [x for x in klass_names if x not in nat_names and not x.startswith("_")]
+    missing.sort()
+
+    assert missing == expected
+
+
+def _get_overlap_public_nat_methods(klass, as_tuple=False):
+    """
+    Get overlapping public methods between NaT and another class.
+
+    Parameters
+    ----------
+    klass : type
+        The class to compare with NaT
+    as_tuple : bool, default False
+        Whether to return a list of tuples of the form (klass, method).
+
+    Returns
+    -------
+    overlap : list
+    """
+    nat_names = dir(NaT)
+    klass_names = dir(klass)
+
+    overlap = [
+        x
+        for x in nat_names
+        if x in klass_names and not x.startswith("_") and callable(getattr(klass, x))
+    ]
+
+    # Timestamp takes precedence over Timedelta in terms of overlap.
+    if klass is Timedelta:
+        ts_names = dir(Timestamp)
+        overlap = [x for x in overlap if x not in ts_names]
+
+    if as_tuple:
+        overlap = [(klass, method) for method in overlap]
+
+    overlap.sort()
+    return overlap
+
+
+@pytest.mark.parametrize(
+    "klass,expected",
+    [
+        (
+            Timestamp,
+            [
+                "as_unit",
+                "astimezone",
+                "ceil",
+                "combine",
+                "ctime",
+                "date",
+                "day_name",
+                "dst",
+                "floor",
+                "fromisocalendar",
+                "fromisoformat",
+                "fromordinal",
+                "fromtimestamp",
+                "isocalendar",
+                "isoformat",
+                "isoweekday",
+                "month_name",
+                "now",
+                "replace",
+                "round",
+                "strftime",
+                "strptime",
+                "time",
+                "timestamp",
+                "timetuple",
+                "timetz",
+                "to_datetime64",
+                "to_numpy",
+                "to_pydatetime",
+                "today",
+                "toordinal",
+                "tz_convert",
+                "tz_localize",
+                "tzname",
+                "utcfromtimestamp",
+                "utcnow",
+                "utcoffset",
+                "utctimetuple",
+                "weekday",
+            ],
+        ),
+        (Timedelta, ["total_seconds"]),
+    ],
+)
+def test_overlap_public_nat_methods(klass, expected):
+    # see gh-17327
+    #
+    # NaT should have *most* of the Timestamp and Timedelta methods.
+    # In case when Timestamp, Timedelta, and NaT are overlap, the overlap
+    # is considered to be with Timestamp and NaT, not Timedelta.
+    assert _get_overlap_public_nat_methods(klass) == expected
+
+
+@pytest.mark.parametrize(
+    "compare",
+    (
+        _get_overlap_public_nat_methods(Timestamp, True)
+        + _get_overlap_public_nat_methods(Timedelta, True)
+    ),
+    ids=lambda x: f"{x[0].__name__}.{x[1]}",
+)
+def test_nat_doc_strings(compare):
+    # see gh-17327
+    #
+    # The docstrings for overlapping methods should match.
+    klass, method = compare
+    klass_doc = getattr(klass, method).__doc__
+
+    if klass == Timestamp and method == "isoformat":
+        pytest.skip(
+            "Ignore differences with Timestamp.isoformat() as they're intentional"
+        )
+
+    if method == "to_numpy":
+        # GH#44460 can return either dt64 or td64 depending on dtype,
+        #  different docstring is intentional
+        pytest.skip(f"different docstring for {method} is intentional")
+
+    nat_doc = getattr(NaT, method).__doc__
+    assert klass_doc == nat_doc
+
+
+_ops = {
+    "left_plus_right": lambda a, b: a + b,
+    "right_plus_left": lambda a, b: b + a,
+    "left_minus_right": lambda a, b: a - b,
+    "right_minus_left": lambda a, b: b - a,
+    "left_times_right": lambda a, b: a * b,
+    "right_times_left": lambda a, b: b * a,
+    "left_div_right": lambda a, b: a / b,
+    "right_div_left": lambda a, b: b / a,
+}
+
+
+@pytest.mark.parametrize("op_name", list(_ops.keys()))
+@pytest.mark.parametrize(
+    "value,val_type",
+    [
+        (2, "scalar"),
+        (1.5, "floating"),
+        (np.nan, "floating"),
+        ("foo", "str"),
+        (timedelta(3600), "timedelta"),
+        (Timedelta("5s"), "timedelta"),
+        (datetime(2014, 1, 1), "timestamp"),
+        (Timestamp("2014-01-01"), "timestamp"),
+        (Timestamp("2014-01-01", tz="UTC"), "timestamp"),
+        (Timestamp("2014-01-01", tz="US/Eastern"), "timestamp"),
+        (pytz.timezone("Asia/Tokyo").localize(datetime(2014, 1, 1)), "timestamp"),
+    ],
+)
+def test_nat_arithmetic_scalar(op_name, value, val_type):
+    # see gh-6873
+    invalid_ops = {
+        "scalar": {"right_div_left"},
+        "floating": {
+            "right_div_left",
+            "left_minus_right",
+            "right_minus_left",
+            "left_plus_right",
+            "right_plus_left",
+        },
+        "str": set(_ops.keys()),
+        "timedelta": {"left_times_right", "right_times_left"},
+        "timestamp": {
+            "left_times_right",
+            "right_times_left",
+            "left_div_right",
+            "right_div_left",
+        },
+    }
+
+    op = _ops[op_name]
+
+    if op_name in invalid_ops.get(val_type, set()):
+        if (
+            val_type == "timedelta"
+            and "times" in op_name
+            and isinstance(value, Timedelta)
+        ):
+            typs = "(Timedelta|NaTType)"
+            msg = rf"unsupported operand type\(s\) for \*: '{typs}' and '{typs}'"
+        elif val_type == "str":
+            # un-specific check here because the message comes from str
+            #  and varies by method
+            msg = "|".join(
+                [
+                    "can only concatenate str",
+                    "unsupported operand type",
+                    "can't multiply sequence",
+                    "Can't convert 'NaTType'",
+                    "must be str, not NaTType",
+                ]
+            )
+        else:
+            msg = "unsupported operand type"
+
+        with pytest.raises(TypeError, match=msg):
+            op(NaT, value)
+    else:
+        if val_type == "timedelta" and "div" in op_name:
+            expected = np.nan
+        else:
+            expected = NaT
+
+        assert op(NaT, value) is expected
+
+
+@pytest.mark.parametrize(
+    "val,expected", [(np.nan, NaT), (NaT, np.nan), (np.timedelta64("NaT"), np.nan)]
+)
+def test_nat_rfloordiv_timedelta(val, expected):
+    # see gh-#18846
+    #
+    # See also test_timedelta.TestTimedeltaArithmetic.test_floordiv
+    td = Timedelta(hours=3, minutes=4)
+    assert td // val is expected
+
+
+@pytest.mark.parametrize(
+    "op_name",
+    ["left_plus_right", "right_plus_left", "left_minus_right", "right_minus_left"],
+)
+@pytest.mark.parametrize(
+    "value",
+    [
+        DatetimeIndex(["2011-01-01", "2011-01-02"], name="x"),
+        DatetimeIndex(["2011-01-01", "2011-01-02"], tz="US/Eastern", name="x"),
+        DatetimeArray._from_sequence(["2011-01-01", "2011-01-02"], dtype="M8[ns]"),
+        DatetimeArray._from_sequence(
+            ["2011-01-01", "2011-01-02"], dtype=DatetimeTZDtype(tz="US/Pacific")
+        ),
+        TimedeltaIndex(["1 day", "2 day"], name="x"),
+    ],
+)
+def test_nat_arithmetic_index(op_name, value):
+    # see gh-11718
+    exp_name = "x"
+    exp_data = [NaT] * 2
+
+    if value.dtype.kind == "M" and "plus" in op_name:
+        expected = DatetimeIndex(exp_data, tz=value.tz, name=exp_name)
+    else:
+        expected = TimedeltaIndex(exp_data, name=exp_name)
+    expected = expected.as_unit(value.unit)
+
+    if not isinstance(value, Index):
+        expected = expected.array
+
+    op = _ops[op_name]
+    result = op(NaT, value)
+    tm.assert_equal(result, expected)
+
+
+@pytest.mark.parametrize(
+    "op_name",
+    ["left_plus_right", "right_plus_left", "left_minus_right", "right_minus_left"],
+)
+@pytest.mark.parametrize("box", [TimedeltaIndex, Series, TimedeltaArray._from_sequence])
+def test_nat_arithmetic_td64_vector(op_name, box):
+    # see gh-19124
+    vec = box(["1 day", "2 day"], dtype="timedelta64[ns]")
+    box_nat = box([NaT, NaT], dtype="timedelta64[ns]")
+    tm.assert_equal(_ops[op_name](vec, NaT), box_nat)
+
+
+@pytest.mark.parametrize(
+    "dtype,op,out_dtype",
+    [
+        ("datetime64[ns]", operator.add, "datetime64[ns]"),
+        ("datetime64[ns]", roperator.radd, "datetime64[ns]"),
+        ("datetime64[ns]", operator.sub, "timedelta64[ns]"),
+        ("datetime64[ns]", roperator.rsub, "timedelta64[ns]"),
+        ("timedelta64[ns]", operator.add, "datetime64[ns]"),
+        ("timedelta64[ns]", roperator.radd, "datetime64[ns]"),
+        ("timedelta64[ns]", operator.sub, "datetime64[ns]"),
+        ("timedelta64[ns]", roperator.rsub, "timedelta64[ns]"),
+    ],
+)
+def test_nat_arithmetic_ndarray(dtype, op, out_dtype):
+    other = np.arange(10).astype(dtype)
+    result = op(NaT, other)
+
+    expected = np.empty(other.shape, dtype=out_dtype)
+    expected.fill("NaT")
+    tm.assert_numpy_array_equal(result, expected)
+
+
+def test_nat_pinned_docstrings():
+    # see gh-17327
+    assert NaT.ctime.__doc__ == Timestamp.ctime.__doc__
+
+
+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)
+
+
+@pytest.mark.parametrize(
+    "other",
+    [
+        Timedelta(0),
+        Timedelta(0).to_pytimedelta(),
+        pytest.param(
+            Timedelta(0).to_timedelta64(),
+            marks=pytest.mark.xfail(
+                not np_version_gte1p24p3,
+                reason="td64 doesn't return NotImplemented, see numpy#17017",
+                # When this xfail is fixed, test_nat_comparisons_numpy
+                #  can be removed.
+            ),
+        ),
+        Timestamp(0),
+        Timestamp(0).to_pydatetime(),
+        pytest.param(
+            Timestamp(0).to_datetime64(),
+            marks=pytest.mark.xfail(
+                not np_version_gte1p24p3,
+                reason="dt64 doesn't return NotImplemented, see numpy#17017",
+            ),
+        ),
+        Timestamp(0).tz_localize("UTC"),
+        NaT,
+    ],
+)
+def test_nat_comparisons(compare_operators_no_eq_ne, other):
+    # GH 26039
+    opname = compare_operators_no_eq_ne
+
+    assert getattr(NaT, opname)(other) is False
+
+    op = getattr(operator, opname.strip("_"))
+    assert op(NaT, other) is False
+    assert op(other, NaT) is False
+
+
+@pytest.mark.parametrize("other", [np.timedelta64(0, "ns"), np.datetime64("now", "ns")])
+def test_nat_comparisons_numpy(other):
+    # Once numpy#17017 is fixed and the xfailed cases in test_nat_comparisons
+    #  pass, this test can be removed
+    assert not NaT == other
+    assert NaT != other
+    assert not NaT < other
+    assert not NaT > other
+    assert not NaT <= other
+    assert not NaT >= other
+
+
+@pytest.mark.parametrize("other_and_type", [("foo", "str"), (2, "int"), (2.0, "float")])
+@pytest.mark.parametrize(
+    "symbol_and_op",
+    [("<=", operator.le), ("<", operator.lt), (">=", operator.ge), (">", operator.gt)],
+)
+def test_nat_comparisons_invalid(other_and_type, symbol_and_op):
+    # GH#35585
+    other, other_type = other_and_type
+    symbol, op = symbol_and_op
+
+    assert not NaT == other
+    assert not other == NaT
+
+    assert NaT != other
+    assert other != NaT
+
+    msg = f"'{symbol}' not supported between instances of 'NaTType' and '{other_type}'"
+    with pytest.raises(TypeError, match=msg):
+        op(NaT, other)
+
+    msg = f"'{symbol}' not supported between instances of '{other_type}' and 'NaTType'"
+    with pytest.raises(TypeError, match=msg):
+        op(other, NaT)
+
+
+@pytest.mark.parametrize(
+    "other",
+    [
+        np.array(["foo"] * 2, dtype=object),
+        np.array([2, 3], dtype="int64"),
+        np.array([2.0, 3.5], dtype="float64"),
+    ],
+    ids=["str", "int", "float"],
+)
+def test_nat_comparisons_invalid_ndarray(other):
+    # GH#40722
+    expected = np.array([False, False])
+    result = NaT == other
+    tm.assert_numpy_array_equal(result, expected)
+    result = other == NaT
+    tm.assert_numpy_array_equal(result, expected)
+
+    expected = np.array([True, True])
+    result = NaT != other
+    tm.assert_numpy_array_equal(result, expected)
+    result = other != NaT
+    tm.assert_numpy_array_equal(result, expected)
+
+    for symbol, op in [
+        ("<=", operator.le),
+        ("<", operator.lt),
+        (">=", operator.ge),
+        (">", operator.gt),
+    ]:
+        msg = f"'{symbol}' not supported between"
+
+        with pytest.raises(TypeError, match=msg):
+            op(NaT, other)
+
+        if other.dtype == np.dtype("object"):
+            # uses the reverse operator, so symbol changes
+            msg = None
+        with pytest.raises(TypeError, match=msg):
+            op(other, NaT)
+
+
+def test_compare_date(fixed_now_ts):
+    # GH#39151 comparing NaT with date object is deprecated
+    # See also: tests.scalar.timestamps.test_comparisons::test_compare_date
+
+    dt = fixed_now_ts.to_pydatetime().date()
+
+    msg = "Cannot compare NaT with datetime.date object"
+    for left, right in [(NaT, dt), (dt, NaT)]:
+        assert not left == right
+        assert left != right
+
+        with pytest.raises(TypeError, match=msg):
+            left < right
+        with pytest.raises(TypeError, match=msg):
+            left <= right
+        with pytest.raises(TypeError, match=msg):
+            left > right
+        with pytest.raises(TypeError, match=msg):
+            left >= right
+
+
+@pytest.mark.parametrize(
+    "obj",
+    [
+        offsets.YearEnd(2),
+        offsets.YearBegin(2),
+        offsets.MonthBegin(1),
+        offsets.MonthEnd(2),
+        offsets.MonthEnd(12),
+        offsets.Day(2),
+        offsets.Day(5),
+        offsets.Hour(24),
+        offsets.Hour(3),
+        offsets.Minute(),
+        np.timedelta64(3, "h"),
+        np.timedelta64(4, "h"),
+        np.timedelta64(3200, "s"),
+        np.timedelta64(3600, "s"),
+        np.timedelta64(3600 * 24, "s"),
+        np.timedelta64(2, "D"),
+        np.timedelta64(365, "D"),
+        timedelta(-2),
+        timedelta(365),
+        timedelta(minutes=120),
+        timedelta(days=4, minutes=180),
+        timedelta(hours=23),
+        timedelta(hours=23, minutes=30),
+        timedelta(hours=48),
+    ],
+)
+def test_nat_addsub_tdlike_scalar(obj):
+    assert NaT + obj is NaT
+    assert obj + NaT is NaT
+    assert NaT - obj is NaT
+
+
+def test_pickle():
+    # GH#4606
+    p = tm.round_trip_pickle(NaT)
+    assert p is NaT

llmeval-env/lib/python3.10/site-packages/pandas/tests/scalar/timedelta/methods/test_as_unit.py

@@ -0,0 +1,80 @@
+import pytest
+
+from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
+from pandas.errors import OutOfBoundsTimedelta
+
+from pandas import Timedelta
+
+
+class TestAsUnit:
+    def test_as_unit(self):
+        td = Timedelta(days=1)
+
+        assert td.as_unit("ns") is td
+
+        res = td.as_unit("us")
+        assert res._value == td._value // 1000
+        assert res._creso == NpyDatetimeUnit.NPY_FR_us.value
+
+        rt = res.as_unit("ns")
+        assert rt._value == td._value
+        assert rt._creso == td._creso
+
+        res = td.as_unit("ms")
+        assert res._value == td._value // 1_000_000
+        assert res._creso == NpyDatetimeUnit.NPY_FR_ms.value
+
+        rt = res.as_unit("ns")
+        assert rt._value == td._value
+        assert rt._creso == td._creso
+
+        res = td.as_unit("s")
+        assert res._value == td._value // 1_000_000_000
+        assert res._creso == NpyDatetimeUnit.NPY_FR_s.value
+
+        rt = res.as_unit("ns")
+        assert rt._value == td._value
+        assert rt._creso == td._creso
+
+    def test_as_unit_overflows(self):
+        # microsecond that would be just out of bounds for nano
+        us = 9223372800000000
+        td = Timedelta._from_value_and_reso(us, NpyDatetimeUnit.NPY_FR_us.value)
+
+        msg = "Cannot cast 106752 days 00:00:00 to unit='ns' without overflow"
+        with pytest.raises(OutOfBoundsTimedelta, match=msg):
+            td.as_unit("ns")
+
+        res = td.as_unit("ms")
+        assert res._value == us // 1000
+        assert res._creso == NpyDatetimeUnit.NPY_FR_ms.value
+
+    def test_as_unit_rounding(self):
+        td = Timedelta(microseconds=1500)
+        res = td.as_unit("ms")
+
+        expected = Timedelta(milliseconds=1)
+        assert res == expected
+
+        assert res._creso == NpyDatetimeUnit.NPY_FR_ms.value
+        assert res._value == 1
+
+        with pytest.raises(ValueError, match="Cannot losslessly convert units"):
+            td.as_unit("ms", round_ok=False)
+
+    def test_as_unit_non_nano(self):
+        # case where we are going neither to nor from nano
+        td = Timedelta(days=1).as_unit("ms")
+        assert td.days == 1
+        assert td._value == 86_400_000
+        assert td.components.days == 1
+        assert td._d == 1
+        assert td.total_seconds() == 86400
+
+        res = td.as_unit("us")
+        assert res._value == 86_400_000_000
+        assert res.components.days == 1
+        assert res.components.hours == 0
+        assert res._d == 1
+        assert res._h == 0
+        assert res.total_seconds() == 86400

llmeval-env/lib/python3.10/site-packages/pandas/tests/scalar/timedelta/methods/test_round.py

@@ -0,0 +1,187 @@
+from hypothesis import (
+    given,
+    strategies as st,
+)
+import numpy as np
+import pytest
+
+from pandas._libs import lib
+from pandas._libs.tslibs import iNaT
+from pandas.errors import OutOfBoundsTimedelta
+
+from pandas import Timedelta
+
+
+class TestTimedeltaRound:
+    @pytest.mark.parametrize(
+        "freq,s1,s2",
+        [
+            # This first case has s1, s2 being the same as t1,t2 below
+            (
+                "ns",
+                Timedelta("1 days 02:34:56.789123456"),
+                Timedelta("-1 days 02:34:56.789123456"),
+            ),
+            (
+                "us",
+                Timedelta("1 days 02:34:56.789123000"),
+                Timedelta("-1 days 02:34:56.789123000"),
+            ),
+            (
+                "ms",
+                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")),
+            ("min", Timedelta("1 days 02:35:00"), Timedelta("-1 days 02:35:00")),
+            ("12min", 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")),
+        ],
+    )
+    def test_round(self, freq, s1, s2):
+        t1 = Timedelta("1 days 02:34:56.789123456")
+        t2 = Timedelta("-1 days 02:34:56.789123456")
+
+        r1 = t1.round(freq)
+        assert r1 == s1
+        r2 = t2.round(freq)
+        assert r2 == s2
+
+    def test_round_invalid(self):
+        t1 = Timedelta("1 days 02:34:56.789123456")
+
+        for freq, msg in [
+            ("YE", "<YearEnd: month=12> is a non-fixed frequency"),
+            ("ME", "<MonthEnd> is a non-fixed frequency"),
+            ("foobar", "Invalid frequency: foobar"),
+        ]:
+            with pytest.raises(ValueError, match=msg):
+                t1.round(freq)
+
+    @pytest.mark.skip_ubsan
+    def test_round_implementation_bounds(self):
+        # See also: analogous test for Timestamp
+        # GH#38964
+        result = Timedelta.min.ceil("s")
+        expected = Timedelta.min + Timedelta(seconds=1) - Timedelta(145224193)
+        assert result == expected
+
+        result = Timedelta.max.floor("s")
+        expected = Timedelta.max - Timedelta(854775807)
+        assert result == expected
+
+        msg = (
+            r"Cannot round -106752 days \+00:12:43.145224193 to freq=s without overflow"
+        )
+        with pytest.raises(OutOfBoundsTimedelta, match=msg):
+            Timedelta.min.floor("s")
+        with pytest.raises(OutOfBoundsTimedelta, match=msg):
+            Timedelta.min.round("s")
+
+        msg = "Cannot round 106751 days 23:47:16.854775807 to freq=s without overflow"
+        with pytest.raises(OutOfBoundsTimedelta, match=msg):
+            Timedelta.max.ceil("s")
+        with pytest.raises(OutOfBoundsTimedelta, match=msg):
+            Timedelta.max.round("s")
+
+    @pytest.mark.skip_ubsan
+    @given(val=st.integers(min_value=iNaT + 1, max_value=lib.i8max))
+    @pytest.mark.parametrize(
+        "method", [Timedelta.round, Timedelta.floor, Timedelta.ceil]
+    )
+    def test_round_sanity(self, val, method):
+        cls = Timedelta
+        err_cls = OutOfBoundsTimedelta
+
+        val = np.int64(val)
+        td = cls(val)
+
+        def checker(ts, nanos, unit):
+            # First check that we do raise in cases where we should
+            if nanos == 1:
+                pass
+            else:
+                div, mod = divmod(ts._value, nanos)
+                diff = int(nanos - mod)
+                lb = ts._value - mod
+                assert lb <= ts._value  # i.e. no overflows with python ints
+                ub = ts._value + diff
+                assert ub > ts._value  # i.e. no overflows with python ints
+
+                msg = "without overflow"
+                if mod == 0:
+                    # We should never be raising in this
+                    pass
+                elif method is cls.ceil:
+                    if ub > cls.max._value:
+                        with pytest.raises(err_cls, match=msg):
+                            method(ts, unit)
+                        return
+                elif method is cls.floor:
+                    if lb < cls.min._value:
+                        with pytest.raises(err_cls, match=msg):
+                            method(ts, unit)
+                        return
+                elif mod >= diff:
+                    if ub > cls.max._value:
+                        with pytest.raises(err_cls, match=msg):
+                            method(ts, unit)
+                        return
+                elif lb < cls.min._value:
+                    with pytest.raises(err_cls, match=msg):
+                        method(ts, unit)
+                    return
+
+            res = method(ts, unit)
+
+            td = res - ts
+            diff = abs(td._value)
+            assert diff < nanos
+            assert res._value % nanos == 0
+
+            if method is cls.round:
+                assert diff <= nanos / 2
+            elif method is cls.floor:
+                assert res <= ts
+            elif method is cls.ceil:
+                assert res >= ts
+
+        nanos = 1
+        checker(td, nanos, "ns")
+
+        nanos = 1000
+        checker(td, nanos, "us")
+
+        nanos = 1_000_000
+        checker(td, nanos, "ms")
+
+        nanos = 1_000_000_000
+        checker(td, nanos, "s")
+
+        nanos = 60 * 1_000_000_000
+        checker(td, nanos, "min")
+
+        nanos = 60 * 60 * 1_000_000_000
+        checker(td, nanos, "h")
+
+        nanos = 24 * 60 * 60 * 1_000_000_000
+        checker(td, nanos, "D")
+
+    @pytest.mark.parametrize("unit", ["ns", "us", "ms", "s"])
+    def test_round_non_nano(self, unit):
+        td = Timedelta("1 days 02:34:57").as_unit(unit)
+
+        res = td.round("min")
+        assert res == Timedelta("1 days 02:35:00")
+        assert res._creso == td._creso
+
+        res = td.floor("min")
+        assert res == Timedelta("1 days 02:34:00")
+        assert res._creso == td._creso
+
+        res = td.ceil("min")
+        assert res == Timedelta("1 days 02:35:00")
+        assert res._creso == td._creso

llmeval-env/lib/python3.10/site-packages/pandas/tests/scalar/timedelta/test_arithmetic.py

@@ -0,0 +1,1182 @@
+"""
+Tests for scalar Timedelta arithmetic ops
+"""
+from datetime import (
+    datetime,
+    timedelta,
+)
+import operator
+
+import numpy as np
+import pytest
+
+from pandas.errors import OutOfBoundsTimedelta
+
+import pandas as pd
+from pandas import (
+    NaT,
+    Timedelta,
+    Timestamp,
+    offsets,
+)
+import pandas._testing as tm
+from pandas.core import ops
+
+
+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"),
+            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"),
+            offsets.Day() + 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
+
+    def test_td_add_timestamp_overflow(self):
+        ts = Timestamp("1700-01-01").as_unit("ns")
+        msg = "Cannot cast 259987 from D to 'ns' without overflow."
+        with pytest.raises(OutOfBoundsTimedelta, match=msg):
+            ts + Timedelta(13 * 19999, unit="D")
+
+        msg = "Cannot cast 259987 days 00:00:00 to unit='ns' without overflow"
+        with pytest.raises(OutOfBoundsTimedelta, match=msg):
+            ts + timedelta(days=13 * 19999)
+
+    @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, 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 - 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")
+        msg = "unsupported operand type"
+        for other in [2, 2.0, np.int64(2), np.float64(2)]:
+            with pytest.raises(TypeError, match=msg):
+                td + other
+            with pytest.raises(TypeError, match=msg):
+                other + td
+            with pytest.raises(TypeError, match=msg):
+                td - other
+            with pytest.raises(TypeError, match=msg):
+                other - td
+
+    def test_td_add_sub_int_ndarray(self):
+        td = Timedelta("1 day")
+        other = np.array([1])
+
+        msg = r"unsupported operand type\(s\) for \+: 'Timedelta' and 'int'"
+        with pytest.raises(TypeError, match=msg):
+            td + np.array([1])
+
+        msg = "|".join(
+            [
+                (
+                    r"unsupported operand type\(s\) for \+: 'numpy.ndarray' "
+                    "and 'Timedelta'"
+                ),
+                # This message goes on to say "Please do not rely on this error;
+                #  it may not be given on all Python implementations"
+                "Concatenation operation is not implemented for NumPy arrays",
+            ]
+        )
+        with pytest.raises(TypeError, match=msg):
+            other + td
+        msg = r"unsupported operand type\(s\) for -: 'Timedelta' and 'int'"
+        with pytest.raises(TypeError, match=msg):
+            td - other
+        msg = r"unsupported operand type\(s\) for -: 'numpy.ndarray' and 'Timedelta'"
+        with pytest.raises(TypeError, match=msg):
+            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 = 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("2021-11-09 09:54:00")
+        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("2021-11-09 09:54:00")
+        arr = np.array([now, Timedelta("1D"), np.timedelta64(2, "h")])
+        msg = r"unsupported operand type\(s\) for \-: 'Timedelta' and 'Timestamp'"
+        with pytest.raises(TypeError, match=msg):
+            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("2021-11-09 09:54:00")
+        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)
+
+    def test_td_add_sub_td64_ndarray(self):
+        td = Timedelta("1 day")
+
+        other = np.array([td.to_timedelta64()])
+        expected = np.array([Timedelta("2 Days").to_timedelta64()])
+
+        result = td + other
+        tm.assert_numpy_array_equal(result, expected)
+        result = other + td
+        tm.assert_numpy_array_equal(result, expected)
+
+        result = td - other
+        tm.assert_numpy_array_equal(result, expected * 0)
+        result = other - td
+        tm.assert_numpy_array_equal(result, expected * 0)
+
+    def test_td_add_sub_dt64_ndarray(self):
+        td = Timedelta("1 day")
+        other = np.array(["2000-01-01"], dtype="M8[ns]")
+
+        expected = np.array(["2000-01-02"], dtype="M8[ns]")
+        tm.assert_numpy_array_equal(td + other, expected)
+        tm.assert_numpy_array_equal(other + td, expected)
+
+        expected = np.array(["1999-12-31"], dtype="M8[ns]")
+        tm.assert_numpy_array_equal(-td + other, expected)
+        tm.assert_numpy_array_equal(other - td, expected)
+
+    def test_td_add_sub_ndarray_0d(self):
+        td = Timedelta("1 day")
+        other = np.array(td.asm8)
+
+        result = td + other
+        assert isinstance(result, Timedelta)
+        assert result == 2 * td
+
+        result = other + td
+        assert isinstance(result, Timedelta)
+        assert result == 2 * td
+
+        result = other - td
+        assert isinstance(result, Timedelta)
+        assert result == 0 * td
+
+        result = td - other
+        assert isinstance(result, Timedelta)
+        assert result == 0 * td
+
+
+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")
+        typs = "|".join(["numpy.timedelta64", "NaTType", "Timedelta"])
+        msg = "|".join(
+            [
+                rf"unsupported operand type\(s\) for \*: '{typs}' and '{typs}'",
+                r"ufunc '?multiply'? cannot use operands with types",
+            ]
+        )
+        with pytest.raises(TypeError, match=msg):
+            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
+
+        msg = "unsupported operand type"
+        with pytest.raises(TypeError, match=msg):
+            # timedelta * datetime is gibberish
+            op(td, Timestamp(2016, 1, 2))
+
+        with pytest.raises(TypeError, match=msg):
+            # invalid multiply with another timedelta
+            op(td, td)
+
+    def test_td_mul_numeric_ndarray(self):
+        td = Timedelta("1 day")
+        other = np.array([2])
+        expected = np.array([Timedelta("2 Days").to_timedelta64()])
+
+        result = td * other
+        tm.assert_numpy_array_equal(result, expected)
+
+        result = other * td
+        tm.assert_numpy_array_equal(result, expected)
+
+    def test_td_mul_numeric_ndarray_0d(self):
+        td = Timedelta("1 day")
+        other = np.array(2)
+        assert other.ndim == 0
+        expected = Timedelta("2 days")
+
+        res = td * other
+        assert type(res) is Timedelta
+        assert res == expected
+
+        res = other * td
+        assert type(res) is Timedelta
+        assert res == expected
+
+    def test_td_mul_td64_ndarray_invalid(self):
+        td = Timedelta("1 day")
+        other = np.array([Timedelta("2 Days").to_timedelta64()])
+
+        msg = (
+            "ufunc '?multiply'? cannot use operands with types "
+            rf"dtype\('{tm.ENDIAN}m8\[ns\]'\) and dtype\('{tm.ENDIAN}m8\[ns\]'\)"
+        )
+        with pytest.raises(TypeError, match=msg):
+            td * other
+        with pytest.raises(TypeError, match=msg):
+            other * td
+
+    # ---------------------------------------------------------------
+    # Timedelta.__div__, __truediv__
+
+    def test_td_div_timedeltalike_scalar(self):
+        # GH#19738
+        td = Timedelta(10, unit="d")
+
+        result = td / 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_td64_non_nano(self):
+        # truediv
+        td = Timedelta("1 days 2 hours 3 ns")
+        result = td / np.timedelta64(1, "D")
+        assert result == td._value / (86400 * 10**9)
+        result = td / np.timedelta64(1, "s")
+        assert result == td._value / 10**9
+        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_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
+        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
+
+    def test_td_div_td64_ndarray(self):
+        td = Timedelta("1 day")
+
+        other = np.array([Timedelta("2 Days").to_timedelta64()])
+        expected = np.array([0.5])
+
+        result = td / other
+        tm.assert_numpy_array_equal(result, expected)
+
+        result = other / td
+        tm.assert_numpy_array_equal(result, expected * 4)
+
+    def test_td_div_ndarray_0d(self):
+        td = Timedelta("1 day")
+
+        other = np.array(1)
+        res = td / other
+        assert isinstance(res, Timedelta)
+        assert res == td
+
+    # ---------------------------------------------------------------
+    # Timedelta.__rdiv__
+
+    def test_td_rdiv_timedeltalike_scalar(self):
+        # GH#19738
+        td = Timedelta(10, unit="d")
+        result = offsets.Hour(1) / td
+        assert result == 1 / 240.0
+
+        assert np.timedelta64(60, "h") / td == 0.25
+
+    def test_td_rdiv_na_scalar(self):
+        # GH#31869 None gets cast to NaT
+        td = Timedelta(10, unit="d")
+
+        result = NaT / td
+        assert np.isnan(result)
+
+        result = None / td
+        assert np.isnan(result)
+
+        result = np.timedelta64("NaT") / td
+        assert np.isnan(result)
+
+        msg = r"unsupported operand type\(s\) for /: 'numpy.datetime64' and 'Timedelta'"
+        with pytest.raises(TypeError, match=msg):
+            np.datetime64("NaT") / td
+
+        msg = r"unsupported operand type\(s\) for /: 'float' and 'Timedelta'"
+        with pytest.raises(TypeError, match=msg):
+            np.nan / td
+
+    def test_td_rdiv_ndarray(self):
+        td = Timedelta(10, unit="d")
+
+        arr = np.array([td], dtype=object)
+        result = arr / td
+        expected = np.array([1], dtype=np.float64)
+        tm.assert_numpy_array_equal(result, expected)
+
+        arr = np.array([None])
+        result = arr / td
+        expected = np.array([np.nan])
+        tm.assert_numpy_array_equal(result, expected)
+
+        arr = np.array([np.nan], dtype=object)
+        msg = r"unsupported operand type\(s\) for /: 'float' and 'Timedelta'"
+        with pytest.raises(TypeError, match=msg):
+            arr / td
+
+        arr = np.array([np.nan], dtype=np.float64)
+        msg = "cannot use operands with types dtype"
+        with pytest.raises(TypeError, match=msg):
+            arr / td
+
+    def test_td_rdiv_ndarray_0d(self):
+        td = Timedelta(10, unit="d")
+
+        arr = np.array(td.asm8)
+
+        assert arr / td == 1
+
+    # ---------------------------------------------------------------
+    # 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 // offsets.Hour(1) == 3
+        assert td // offsets.Minute(2) == 92
+
+    def test_td_floordiv_invalid_scalar(self):
+        # GH#18846
+        td = Timedelta(hours=3, minutes=4)
+
+        msg = "|".join(
+            [
+                r"Invalid dtype datetime64\[D\] for __floordiv__",
+                "'dtype' is an invalid keyword argument for this function",
+                r"ufunc '?floor_divide'? cannot use operands with types",
+            ]
+        )
+        with pytest.raises(TypeError, match=msg):
+            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 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", "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_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_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_intarray(self):
+        # deprecated GH#19761, enforced GH#29797
+        ints = np.array([1349654400, 1349740800, 1349827200, 1349913600]) * 10**9
+
+        msg = "Invalid dtype"
+        with pytest.raises(TypeError, match=msg):
+            ints // Timedelta(1, unit="s")
+
+    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
+
+        msg = "Invalid dtype"
+        with pytest.raises(TypeError, match=msg):
+            # Deprecated GH#19761, enforced GH#29797
+            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 % 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)
+        msg = "unsupported operand type"
+        with pytest.raises(TypeError, match=msg):
+            td % Timestamp("2018-01-22")
+
+        with pytest.raises(TypeError, match=msg):
+            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)
+
+        msg = "unsupported operand"
+        with pytest.raises(TypeError, match=msg):
+            Timestamp("2018-01-22") % td
+
+        with pytest.raises(TypeError, match=msg):
+            15 % td
+
+        with pytest.raises(TypeError, match=msg):
+            16.0 % td
+
+        msg = "Invalid dtype int"
+        with pytest.raises(TypeError, match=msg):
+            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, 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)
+
+        msg = r"unsupported operand type\(s\) for //: 'Timedelta' and 'Timestamp'"
+        with pytest.raises(TypeError, match=msg):
+            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(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)
+        msg = "unsupported operand type"
+
+        with pytest.raises(TypeError, match=msg):
+            divmod(Timestamp("2018-01-22"), td)
+
+        with pytest.raises(TypeError, match=msg):
+            divmod(15, td)
+
+        with pytest.raises(TypeError, match=msg):
+            divmod(16.0, td)
+
+        msg = "Invalid dtype int"
+        with pytest.raises(TypeError, match=msg):
+            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("2021-11-09 09:54:00"), Timedelta("1D")]),
+        ],
+    )
+    def test_td_op_timedelta_timedeltalike_array(self, op, arr):
+        msg = "unsupported operand type|cannot use operands with types"
+        with pytest.raises(TypeError, match=msg):
+            op(arr, Timedelta("1D"))
+
+
+class TestTimedeltaComparison:
+    @pytest.mark.skip_ubsan
+    def test_compare_pytimedelta_bounds(self):
+        # GH#49021 don't overflow on comparison with very large pytimedeltas
+
+        for unit in ["ns", "us"]:
+            tdmax = Timedelta.max.as_unit(unit).max
+            tdmin = Timedelta.min.as_unit(unit).min
+
+            assert tdmax < timedelta.max
+            assert tdmax <= timedelta.max
+            assert not tdmax > timedelta.max
+            assert not tdmax >= timedelta.max
+            assert tdmax != timedelta.max
+            assert not tdmax == timedelta.max
+
+            assert tdmin > timedelta.min
+            assert tdmin >= timedelta.min
+            assert not tdmin < timedelta.min
+            assert not tdmin <= timedelta.min
+            assert tdmin != timedelta.min
+            assert not tdmin == timedelta.min
+
+        # But the "ms" and "s"-reso bounds extend pass pytimedelta
+        for unit in ["ms", "s"]:
+            tdmax = Timedelta.max.as_unit(unit).max
+            tdmin = Timedelta.min.as_unit(unit).min
+
+            assert tdmax > timedelta.max
+            assert tdmax >= timedelta.max
+            assert not tdmax < timedelta.max
+            assert not tdmax <= timedelta.max
+            assert tdmax != timedelta.max
+            assert not tdmax == timedelta.max
+
+            assert tdmin < timedelta.min
+            assert tdmin <= timedelta.min
+            assert not tdmin > timedelta.min
+            assert not tdmin >= timedelta.min
+            assert tdmin != timedelta.min
+            assert not tdmin == timedelta.min
+
+    def test_compare_pytimedelta_bounds2(self):
+        # a pytimedelta outside the microsecond bounds
+        pytd = timedelta(days=999999999, seconds=86399)
+        # NB: np.timedelta64(td, "s"") incorrectly overflows
+        td64 = np.timedelta64(pytd.days, "D") + np.timedelta64(pytd.seconds, "s")
+        td = Timedelta(td64)
+        assert td.days == pytd.days
+        assert td.seconds == pytd.seconds
+
+        assert td == pytd
+        assert not td != pytd
+        assert not td < pytd
+        assert not td > pytd
+        assert td <= pytd
+        assert td >= pytd
+
+        td2 = td - Timedelta(seconds=1).as_unit("s")
+        assert td2 != pytd
+        assert not td2 == pytd
+        assert td2 < pytd
+        assert td2 <= pytd
+        assert not td2 > pytd
+        assert not td2 >= pytd
+
+    def test_compare_tick(self, tick_classes):
+        cls = tick_classes
+
+        off = cls(4)
+        td = off._as_pd_timedelta
+        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):
+        # GH#11835
+        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)
+
+    def test_compare_td64_ndarray(self):
+        # GG#33441
+        arr = np.arange(5).astype("timedelta64[ns]")
+        td = Timedelta(arr[1])
+
+        expected = np.array([False, True, False, False, False], dtype=bool)
+
+        result = td == arr
+        tm.assert_numpy_array_equal(result, expected)
+
+        result = arr == td
+        tm.assert_numpy_array_equal(result, expected)
+
+        result = td != arr
+        tm.assert_numpy_array_equal(result, ~expected)
+
+        result = arr != td
+        tm.assert_numpy_array_equal(result, ~expected)
+
+    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) -> 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 t != "string"
+        assert t != 1
+        assert t != CustomClass()
+        assert 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):
+        # GH#20829
+        t = Timedelta("1s")
+        msg = "not supported between instances of 'Timedelta' and '(int|str)'"
+        with pytest.raises(TypeError, match=msg):
+            t >= val
+        with pytest.raises(TypeError, match=msg):
+            t > val
+        with pytest.raises(TypeError, match=msg):
+            t <= val
+        with pytest.raises(TypeError, match=msg):
+            t < val
+
+
+def test_ops_notimplemented():
+    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_ops_error_str():
+    # GH#13624
+    td = Timedelta("1 day")
+
+    for left, right in [(td, "a"), ("a", td)]:
+        msg = "|".join(
+            [
+                "unsupported operand type",
+                r'can only concatenate str \(not "Timedelta"\) to str',
+                "must be str, not Timedelta",
+            ]
+        )
+        with pytest.raises(TypeError, match=msg):
+            left + right
+
+        msg = "not supported between instances of"
+        with pytest.raises(TypeError, match=msg):
+            left > right
+
+        assert not left == right  # pylint: disable=unneeded-not
+        assert left != right

llmeval-env/lib/python3.10/site-packages/pandas/tests/scalar/timedelta/test_constructors.py

@@ -0,0 +1,698 @@
+from datetime import timedelta
+from itertools import product
+
+import numpy as np
+import pytest
+
+from pandas._libs.tslibs import OutOfBoundsTimedelta
+from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
+
+from pandas import (
+    Index,
+    NaT,
+    Timedelta,
+    TimedeltaIndex,
+    offsets,
+    to_timedelta,
+)
+import pandas._testing as tm
+
+
+class TestTimedeltaConstructorUnitKeyword:
+    @pytest.mark.parametrize("unit", ["Y", "y", "M"])
+    def test_unit_m_y_raises(self, unit):
+        msg = "Units 'M', 'Y', and 'y' are no longer supported"
+
+        with pytest.raises(ValueError, match=msg):
+            Timedelta(10, unit)
+
+        with pytest.raises(ValueError, match=msg):
+            to_timedelta(10, unit)
+
+        with pytest.raises(ValueError, match=msg):
+            to_timedelta([1, 2], unit)
+
+    @pytest.mark.parametrize(
+        "unit,unit_depr",
+        [
+            ("h", "H"),
+            ("min", "T"),
+            ("s", "S"),
+            ("ms", "L"),
+            ("ns", "N"),
+            ("us", "U"),
+        ],
+    )
+    def test_units_H_T_S_L_N_U_deprecated(self, unit, unit_depr):
+        # GH#52536
+        msg = f"'{unit_depr}' is deprecated and will be removed in a future version."
+
+        expected = Timedelta(1, unit=unit)
+        with tm.assert_produces_warning(FutureWarning, match=msg):
+            result = Timedelta(1, unit=unit_depr)
+        tm.assert_equal(result, expected)
+
+    @pytest.mark.parametrize(
+        "unit, np_unit",
+        [(value, "W") for value in ["W", "w"]]
+        + [(value, "D") for value in ["D", "d", "days", "day", "Days", "Day"]]
+        + [
+            (value, "m")
+            for value in [
+                "m",
+                "minute",
+                "min",
+                "minutes",
+                "Minute",
+                "Min",
+                "Minutes",
+            ]
+        ]
+        + [
+            (value, "s")
+            for value in [
+                "s",
+                "seconds",
+                "sec",
+                "second",
+                "Seconds",
+                "Sec",
+                "Second",
+            ]
+        ]
+        + [
+            (value, "ms")
+            for value in [
+                "ms",
+                "milliseconds",
+                "millisecond",
+                "milli",
+                "millis",
+                "MS",
+                "Milliseconds",
+                "Millisecond",
+                "Milli",
+                "Millis",
+            ]
+        ]
+        + [
+            (value, "us")
+            for value in [
+                "us",
+                "microseconds",
+                "microsecond",
+                "micro",
+                "micros",
+                "u",
+                "US",
+                "Microseconds",
+                "Microsecond",
+                "Micro",
+                "Micros",
+                "U",
+            ]
+        ]
+        + [
+            (value, "ns")
+            for value in [
+                "ns",
+                "nanoseconds",
+                "nanosecond",
+                "nano",
+                "nanos",
+                "n",
+                "NS",
+                "Nanoseconds",
+                "Nanosecond",
+                "Nano",
+                "Nanos",
+                "N",
+            ]
+        ],
+    )
+    @pytest.mark.parametrize("wrapper", [np.array, list, Index])
+    def test_unit_parser(self, unit, np_unit, wrapper):
+        # validate all units, GH 6855, GH 21762
+        # array-likes
+        expected = TimedeltaIndex(
+            [np.timedelta64(i, np_unit) for i in np.arange(5).tolist()],
+            dtype="m8[ns]",
+        )
+        # TODO(2.0): the desired output dtype may have non-nano resolution
+        msg = f"'{unit}' is deprecated and will be removed in a future version."
+
+        if (unit, np_unit) in (("u", "us"), ("U", "us"), ("n", "ns"), ("N", "ns")):
+            warn = FutureWarning
+        else:
+            warn = FutureWarning
+            msg = "The 'unit' keyword in TimedeltaIndex construction is deprecated"
+        with tm.assert_produces_warning(warn, match=msg):
+            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)
+
+            str_repr = [f"{x}{unit}" for x in np.arange(5)]
+            result = to_timedelta(wrapper(str_repr))
+            tm.assert_index_equal(result, expected)
+            result = to_timedelta(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
+
+            result = to_timedelta(f"2{unit}")
+            assert result == expected
+            result = Timedelta(f"2{unit}")
+            assert result == expected
+
+
+def test_construct_from_kwargs_overflow():
+    # GH#55503
+    msg = "seconds=86400000000000000000, milliseconds=0, microseconds=0, nanoseconds=0"
+    with pytest.raises(OutOfBoundsTimedelta, match=msg):
+        Timedelta(days=10**6)
+    msg = "seconds=60000000000000000000, milliseconds=0, microseconds=0, nanoseconds=0"
+    with pytest.raises(OutOfBoundsTimedelta, match=msg):
+        Timedelta(minutes=10**9)
+
+
+def test_construct_with_weeks_unit_overflow():
+    # GH#47268 don't silently wrap around
+    with pytest.raises(OutOfBoundsTimedelta, match="without overflow"):
+        Timedelta(1000000000000000000, unit="W")
+
+    with pytest.raises(OutOfBoundsTimedelta, match="without overflow"):
+        Timedelta(1000000000000000000.0, unit="W")
+
+
+def test_construct_from_td64_with_unit():
+    # ignore the unit, as it may cause silently overflows leading to incorrect
+    #  results, and in non-overflow cases is irrelevant GH#46827
+    obj = np.timedelta64(123456789000000000, "h")
+
+    with pytest.raises(OutOfBoundsTimedelta, match="123456789000000000 hours"):
+        Timedelta(obj, unit="ps")
+
+    with pytest.raises(OutOfBoundsTimedelta, match="123456789000000000 hours"):
+        Timedelta(obj, unit="ns")
+
+    with pytest.raises(OutOfBoundsTimedelta, match="123456789000000000 hours"):
+        Timedelta(obj)
+
+
+def test_from_td64_retain_resolution():
+    # case where we retain millisecond resolution
+    obj = np.timedelta64(12345, "ms")
+
+    td = Timedelta(obj)
+    assert td._value == obj.view("i8")
+    assert td._creso == NpyDatetimeUnit.NPY_FR_ms.value
+
+    # Case where we cast to nearest-supported reso
+    obj2 = np.timedelta64(1234, "D")
+    td2 = Timedelta(obj2)
+    assert td2._creso == NpyDatetimeUnit.NPY_FR_s.value
+    assert td2 == obj2
+    assert td2.days == 1234
+
+    # Case that _would_ overflow if we didn't support non-nano
+    obj3 = np.timedelta64(1000000000000000000, "us")
+    td3 = Timedelta(obj3)
+    assert td3.total_seconds() == 1000000000000
+    assert td3._creso == NpyDatetimeUnit.NPY_FR_us.value
+
+
+def test_from_pytimedelta_us_reso():
+    # pytimedelta has microsecond resolution, so Timedelta(pytd) inherits that
+    td = timedelta(days=4, minutes=3)
+    result = Timedelta(td)
+    assert result.to_pytimedelta() == td
+    assert result._creso == NpyDatetimeUnit.NPY_FR_us.value
+
+
+def test_from_tick_reso():
+    tick = offsets.Nano()
+    assert Timedelta(tick)._creso == NpyDatetimeUnit.NPY_FR_ns.value
+
+    tick = offsets.Micro()
+    assert Timedelta(tick)._creso == NpyDatetimeUnit.NPY_FR_us.value
+
+    tick = offsets.Milli()
+    assert Timedelta(tick)._creso == NpyDatetimeUnit.NPY_FR_ms.value
+
+    tick = offsets.Second()
+    assert Timedelta(tick)._creso == NpyDatetimeUnit.NPY_FR_s.value
+
+    # everything above Second gets cast to the closest supported reso: second
+    tick = offsets.Minute()
+    assert Timedelta(tick)._creso == NpyDatetimeUnit.NPY_FR_s.value
+
+    tick = offsets.Hour()
+    assert Timedelta(tick)._creso == NpyDatetimeUnit.NPY_FR_s.value
+
+    tick = offsets.Day()
+    assert Timedelta(tick)._creso == NpyDatetimeUnit.NPY_FR_s.value
+
+
+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 µs") == 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)
+    msg = "only leading negative signs are allowed"
+    with pytest.raises(ValueError, match=msg):
+        Timedelta("-10 days -1 h 1.5m 1s 3us")
+
+    # only leading neg signs are allowed
+    with pytest.raises(ValueError, match=msg):
+        Timedelta("10 days -1 h 1.5m 1s 3us")
+
+    # no units specified
+    msg = "no units specified"
+    with pytest.raises(ValueError, match=msg):
+        Timedelta("3.1415")
+
+    # invalid construction
+    msg = "cannot construct a Timedelta"
+    with pytest.raises(ValueError, match=msg):
+        Timedelta()
+
+    msg = "unit abbreviation w/o a number"
+    with pytest.raises(ValueError, match=msg):
+        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")
+
+    msg = "unit abbreviation w/o a number"
+    with pytest.raises(ValueError, match=msg):
+        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
+
+    assert Timedelta(str(td)) == td
+    assert Timedelta(td._repr_base(format="all")) == td
+    assert Timedelta(td._repr_base()) == td
+
+
+def test_overflow_on_construction():
+    # GH#3374
+    value = Timedelta("1day")._value * 20169940
+    msg = "Cannot cast 1742682816000000000000 from ns to 'ns' without overflow"
+    with pytest.raises(OutOfBoundsTimedelta, match=msg):
+        Timedelta(value)
+
+    # xref GH#17637
+    msg = "Cannot cast 139993 from D to 'ns' without overflow"
+    with pytest.raises(OutOfBoundsTimedelta, match=msg):
+        Timedelta(7 * 19999, unit="D")
+
+    # used to overflow before non-ns support
+    td = Timedelta(timedelta(days=13 * 19999))
+    assert td._creso == NpyDatetimeUnit.NPY_FR_us.value
+    assert td.days == 13 * 19999
+
+
+@pytest.mark.parametrize(
+    "val, unit",
+    [
+        (15251, "W"),  # 1
+        (106752, "D"),  # change from previous:
+        (2562048, "h"),  # 0 hours
+        (153722868, "m"),  # 13 minutes
+        (9223372037, "s"),  # 44 seconds
+    ],
+)
+def test_construction_out_of_bounds_td64ns(val, unit):
+    # TODO: parametrize over units just above/below the implementation bounds
+    #  once GH#38964 is resolved
+
+    # Timedelta.max is just under 106752 days
+    td64 = np.timedelta64(val, unit)
+    assert td64.astype("m8[ns]").view("i8") < 0  # i.e. naive astype will be wrong
+
+    td = Timedelta(td64)
+    if unit != "M":
+        # with unit="M" the conversion to "s" is poorly defined
+        #  (and numpy issues DeprecationWarning)
+        assert td.asm8 == td64
+    assert td.asm8.dtype == "m8[s]"
+    msg = r"Cannot cast 1067\d\d days .* to unit='ns' without overflow"
+    with pytest.raises(OutOfBoundsTimedelta, match=msg):
+        td.as_unit("ns")
+
+    # But just back in bounds and we are OK
+    assert Timedelta(td64 - 1) == td64 - 1
+
+    td64 *= -1
+    assert td64.astype("m8[ns]").view("i8") > 0  # i.e. naive astype will be wrong
+
+    td2 = Timedelta(td64)
+    msg = r"Cannot cast -1067\d\d days .* to unit='ns' without overflow"
+    with pytest.raises(OutOfBoundsTimedelta, match=msg):
+        td2.as_unit("ns")
+
+    # But just back in bounds and we are OK
+    assert Timedelta(td64 + 1) == td64 + 1
+
+
+@pytest.mark.parametrize(
+    "val, unit",
+    [
+        (15251 * 10**9, "W"),
+        (106752 * 10**9, "D"),
+        (2562048 * 10**9, "h"),
+        (153722868 * 10**9, "m"),
+    ],
+)
+def test_construction_out_of_bounds_td64s(val, unit):
+    td64 = np.timedelta64(val, unit)
+    with pytest.raises(OutOfBoundsTimedelta, match=str(td64)):
+        Timedelta(td64)
+
+    # But just back in bounds and we are OK
+    assert Timedelta(td64 - 10**9) == td64 - 10**9
+
+
+@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)),
+        ("PT1S", Timedelta(seconds=1)),
+        ("PT0S", Timedelta(seconds=0)),
+        ("P1WT0S", Timedelta(days=7, seconds=0)),
+        ("P1D", Timedelta(days=1)),
+        ("P1DT1H", Timedelta(days=1, hours=1)),
+        ("P1W", Timedelta(days=7)),
+        ("PT300S", Timedelta(seconds=300)),
+        ("P1DT0H0M00000000000S", Timedelta(days=1)),
+        ("PT-6H3M", Timedelta(hours=-6, minutes=3)),
+        ("-PT6H3M", Timedelta(hours=-6, minutes=-3)),
+        ("-PT-6H+3M", Timedelta(hours=6, minutes=-3)),
+    ],
+)
+def test_iso_constructor(fmt, exp):
+    assert Timedelta(fmt) == exp
+
+
+@pytest.mark.parametrize(
+    "fmt",
+    [
+        "PPPPPPPPPPPP",
+        "PDTHMS",
+        "P0DT999H999M999S",
+        "P1DT0H0M0.0000000000000S",
+        "P1DT0H0M0.S",
+        "P",
+        "-P",
+    ],
+)
+def test_iso_constructor_raises(fmt):
+    msg = f"Invalid ISO 8601 Duration 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():
+    msg = "Invalid type <class 'str'>. Must be int or float."
+    with pytest.raises(TypeError, match=msg):
+        Timedelta(nanoseconds="abc")
+
+
+def test_timedelta_constructor_identity():
+    # Test for #30543
+    expected = Timedelta(np.timedelta64(1, "s"))
+    result = Timedelta(expected)
+    assert result is expected
+
+
+def test_timedelta_pass_td_and_kwargs_raises():
+    # don't silently ignore the kwargs GH#48898
+    td = Timedelta(days=1)
+    msg = (
+        "Cannot pass both a Timedelta input and timedelta keyword arguments, "
+        r"got \['days'\]"
+    )
+    with pytest.raises(ValueError, match=msg):
+        Timedelta(td, days=2)
+
+
+@pytest.mark.parametrize(
+    "constructor, value, unit, expectation",
+    [
+        (Timedelta, "10s", "ms", (ValueError, "unit must not be specified")),
+        (to_timedelta, "10s", "ms", (ValueError, "unit must not be specified")),
+        (to_timedelta, ["1", 2, 3], "s", (ValueError, "unit must not be specified")),
+    ],
+)
+def test_string_with_unit(constructor, value, unit, expectation):
+    exp, match = expectation
+    with pytest.raises(exp, match=match):
+        _ = constructor(value, unit=unit)
+
+
+@pytest.mark.parametrize(
+    "value",
+    [
+        "".join(elements)
+        for repetition in (1, 2)
+        for elements in product("+-, ", repeat=repetition)
+    ],
+)
+def test_string_without_numbers(value):
+    # GH39710 Timedelta input string with only symbols and no digits raises an error
+    msg = (
+        "symbols w/o a number"
+        if value != "--"
+        else "only leading negative signs are allowed"
+    )
+    with pytest.raises(ValueError, match=msg):
+        Timedelta(value)
+
+
+def test_timedelta_new_npnat():
+    # GH#48898
+    nat = np.timedelta64("NaT", "h")
+    assert Timedelta(nat) is NaT
+
+
+def test_subclass_respected():
+    # GH#49579
+    class MyCustomTimedelta(Timedelta):
+        pass
+
+    td = MyCustomTimedelta("1 minute")
+    assert isinstance(td, MyCustomTimedelta)
+
+
+def test_non_nano_value():
+    # https://github.com/pandas-dev/pandas/issues/49076
+    result = Timedelta(10, unit="D").as_unit("s").value
+    # `.value` shows nanoseconds, even though unit is 's'
+    assert result == 864000000000000
+
+    # out-of-nanoseconds-bounds `.value` raises informative message
+    msg = (
+        r"Cannot convert Timedelta to nanoseconds without overflow. "
+        r"Use `.asm8.view\('i8'\)` to cast represent Timedelta in its "
+        r"own unit \(here, s\).$"
+    )
+    td = Timedelta(1_000, "D").as_unit("s") * 1_000
+    with pytest.raises(OverflowError, match=msg):
+        td.value
+    # check that the suggested workaround actually works
+    result = td.asm8.view("i8")
+    assert result == 86400000000

llmeval-env/lib/python3.10/site-packages/pandas/tests/scalar/timedelta/test_formats.py

@@ -0,0 +1,109 @@
+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
+
+
+class TestReprBase:
+    def test_none(self):
+        delta_1d = Timedelta(1, unit="D")
+        delta_0d = Timedelta(0, unit="D")
+        delta_1s = Timedelta(1, unit="s")
+        delta_500ms = Timedelta(500, unit="ms")
+
+        drepr = lambda x: x._repr_base()
+        assert drepr(delta_1d) == "1 days"
+        assert drepr(-delta_1d) == "-1 days"
+        assert drepr(delta_0d) == "0 days"
+        assert drepr(delta_1s) == "0 days 00:00:01"
+        assert drepr(delta_500ms) == "0 days 00:00:00.500000"
+        assert drepr(delta_1d + delta_1s) == "1 days 00:00:01"
+        assert drepr(-delta_1d + delta_1s) == "-1 days +00:00:01"
+        assert drepr(delta_1d + delta_500ms) == "1 days 00:00:00.500000"
+        assert drepr(-delta_1d + delta_500ms) == "-1 days +00:00:00.500000"
+
+    def test_sub_day(self):
+        delta_1d = Timedelta(1, unit="D")
+        delta_0d = Timedelta(0, unit="D")
+        delta_1s = Timedelta(1, unit="s")
+        delta_500ms = Timedelta(500, unit="ms")
+
+        drepr = lambda x: x._repr_base(format="sub_day")
+        assert drepr(delta_1d) == "1 days"
+        assert drepr(-delta_1d) == "-1 days"
+        assert drepr(delta_0d) == "00:00:00"
+        assert drepr(delta_1s) == "00:00:01"
+        assert drepr(delta_500ms) == "00:00:00.500000"
+        assert drepr(delta_1d + delta_1s) == "1 days 00:00:01"
+        assert drepr(-delta_1d + delta_1s) == "-1 days +00:00:01"
+        assert drepr(delta_1d + delta_500ms) == "1 days 00:00:00.500000"
+        assert drepr(-delta_1d + delta_500ms) == "-1 days +00:00:00.500000"
+
+    def test_long(self):
+        delta_1d = Timedelta(1, unit="D")
+        delta_0d = Timedelta(0, unit="D")
+        delta_1s = Timedelta(1, unit="s")
+        delta_500ms = Timedelta(500, unit="ms")
+
+        drepr = lambda x: x._repr_base(format="long")
+        assert drepr(delta_1d) == "1 days 00:00:00"
+        assert drepr(-delta_1d) == "-1 days +00:00:00"
+        assert drepr(delta_0d) == "0 days 00:00:00"
+        assert drepr(delta_1s) == "0 days 00:00:01"
+        assert drepr(delta_500ms) == "0 days 00:00:00.500000"
+        assert drepr(delta_1d + delta_1s) == "1 days 00:00:01"
+        assert drepr(-delta_1d + delta_1s) == "-1 days +00:00:01"
+        assert drepr(delta_1d + delta_500ms) == "1 days 00:00:00.500000"
+        assert drepr(-delta_1d + delta_500ms) == "-1 days +00:00:00.500000"
+
+    def test_all(self):
+        delta_1d = Timedelta(1, unit="D")
+        delta_0d = Timedelta(0, unit="D")
+        delta_1ns = Timedelta(1, unit="ns")
+
+        drepr = lambda x: x._repr_base(format="all")
+        assert drepr(delta_1d) == "1 days 00:00:00.000000000"
+        assert drepr(-delta_1d) == "-1 days +00:00:00.000000000"
+        assert drepr(delta_0d) == "0 days 00:00:00.000000000"
+        assert drepr(delta_1ns) == "0 days 00:00:00.000000001"
+        assert drepr(-delta_1d + delta_1ns) == "-1 days +00:00:00.000000001"

llmeval-env/lib/python3.10/site-packages/pandas/tests/scalar/timedelta/test_timedelta.py

@@ -0,0 +1,666 @@
+""" test the scalar Timedelta """
+from datetime import timedelta
+import sys
+
+from hypothesis import (
+    given,
+    strategies as st,
+)
+import numpy as np
+import pytest
+
+from pandas._libs import lib
+from pandas._libs.tslibs import (
+    NaT,
+    iNaT,
+)
+from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
+from pandas.errors import OutOfBoundsTimedelta
+
+from pandas import (
+    Timedelta,
+    to_timedelta,
+)
+import pandas._testing as tm
+
+
+class TestNonNano:
+    @pytest.fixture(params=["s", "ms", "us"])
+    def unit_str(self, request):
+        return request.param
+
+    @pytest.fixture
+    def unit(self, unit_str):
+        # 7, 8, 9 correspond to second, millisecond, and microsecond, respectively
+        attr = f"NPY_FR_{unit_str}"
+        return getattr(NpyDatetimeUnit, attr).value
+
+    @pytest.fixture
+    def val(self, unit):
+        # microsecond that would be just out of bounds for nano
+        us = 9223372800000000
+        if unit == NpyDatetimeUnit.NPY_FR_us.value:
+            value = us
+        elif unit == NpyDatetimeUnit.NPY_FR_ms.value:
+            value = us // 1000
+        else:
+            value = us // 1_000_000
+        return value
+
+    @pytest.fixture
+    def td(self, unit, val):
+        return Timedelta._from_value_and_reso(val, unit)
+
+    def test_from_value_and_reso(self, unit, val):
+        # Just checking that the fixture is giving us what we asked for
+        td = Timedelta._from_value_and_reso(val, unit)
+        assert td._value == val
+        assert td._creso == unit
+        assert td.days == 106752
+
+    def test_unary_non_nano(self, td, unit):
+        assert abs(td)._creso == unit
+        assert (-td)._creso == unit
+        assert (+td)._creso == unit
+
+    def test_sub_preserves_reso(self, td, unit):
+        res = td - td
+        expected = Timedelta._from_value_and_reso(0, unit)
+        assert res == expected
+        assert res._creso == unit
+
+    def test_mul_preserves_reso(self, td, unit):
+        # The td fixture should always be far from the implementation
+        #  bound, so doubling does not risk overflow.
+        res = td * 2
+        assert res._value == td._value * 2
+        assert res._creso == unit
+
+    def test_cmp_cross_reso(self, td):
+        # numpy gets this wrong because of silent overflow
+        other = Timedelta(days=106751, unit="ns")
+        assert other < td
+        assert td > other
+        assert not other == td
+        assert td != other
+
+    def test_to_pytimedelta(self, td):
+        res = td.to_pytimedelta()
+        expected = timedelta(days=106752)
+        assert type(res) is timedelta
+        assert res == expected
+
+    def test_to_timedelta64(self, td, unit):
+        for res in [td.to_timedelta64(), td.to_numpy(), td.asm8]:
+            assert isinstance(res, np.timedelta64)
+            assert res.view("i8") == td._value
+            if unit == NpyDatetimeUnit.NPY_FR_s.value:
+                assert res.dtype == "m8[s]"
+            elif unit == NpyDatetimeUnit.NPY_FR_ms.value:
+                assert res.dtype == "m8[ms]"
+            elif unit == NpyDatetimeUnit.NPY_FR_us.value:
+                assert res.dtype == "m8[us]"
+
+    def test_truediv_timedeltalike(self, td):
+        assert td / td == 1
+        assert (2.5 * td) / td == 2.5
+
+        other = Timedelta(td._value)
+        msg = "Cannot cast 106752 days 00:00:00 to unit='ns' without overflow."
+        with pytest.raises(OutOfBoundsTimedelta, match=msg):
+            td / other
+
+        # Timedelta(other.to_pytimedelta()) has microsecond resolution,
+        #  so the division doesn't require casting all the way to nanos,
+        #  so succeeds
+        res = other.to_pytimedelta() / td
+        expected = other.to_pytimedelta() / td.to_pytimedelta()
+        assert res == expected
+
+        # if there's no overflow, we cast to the higher reso
+        left = Timedelta._from_value_and_reso(50, NpyDatetimeUnit.NPY_FR_us.value)
+        right = Timedelta._from_value_and_reso(50, NpyDatetimeUnit.NPY_FR_ms.value)
+        result = left / right
+        assert result == 0.001
+
+        result = right / left
+        assert result == 1000
+
+    def test_truediv_numeric(self, td):
+        assert td / np.nan is NaT
+
+        res = td / 2
+        assert res._value == td._value / 2
+        assert res._creso == td._creso
+
+        res = td / 2.0
+        assert res._value == td._value / 2
+        assert res._creso == td._creso
+
+    def test_floordiv_timedeltalike(self, td):
+        assert td // td == 1
+        assert (2.5 * td) // td == 2
+
+        other = Timedelta(td._value)
+        msg = "Cannot cast 106752 days 00:00:00 to unit='ns' without overflow"
+        with pytest.raises(OutOfBoundsTimedelta, match=msg):
+            td // other
+
+        # Timedelta(other.to_pytimedelta()) has microsecond resolution,
+        #  so the floordiv doesn't require casting all the way to nanos,
+        #  so succeeds
+        res = other.to_pytimedelta() // td
+        assert res == 0
+
+        # if there's no overflow, we cast to the higher reso
+        left = Timedelta._from_value_and_reso(50050, NpyDatetimeUnit.NPY_FR_us.value)
+        right = Timedelta._from_value_and_reso(50, NpyDatetimeUnit.NPY_FR_ms.value)
+        result = left // right
+        assert result == 1
+        result = right // left
+        assert result == 0
+
+    def test_floordiv_numeric(self, td):
+        assert td // np.nan is NaT
+
+        res = td // 2
+        assert res._value == td._value // 2
+        assert res._creso == td._creso
+
+        res = td // 2.0
+        assert res._value == td._value // 2
+        assert res._creso == td._creso
+
+        assert td // np.array(np.nan) is NaT
+
+        res = td // np.array(2)
+        assert res._value == td._value // 2
+        assert res._creso == td._creso
+
+        res = td // np.array(2.0)
+        assert res._value == td._value // 2
+        assert res._creso == td._creso
+
+    def test_addsub_mismatched_reso(self, td):
+        # need to cast to since td is out of bounds for ns, so
+        #  so we would raise OverflowError without casting
+        other = Timedelta(days=1).as_unit("us")
+
+        # td is out of bounds for ns
+        result = td + other
+        assert result._creso == other._creso
+        assert result.days == td.days + 1
+
+        result = other + td
+        assert result._creso == other._creso
+        assert result.days == td.days + 1
+
+        result = td - other
+        assert result._creso == other._creso
+        assert result.days == td.days - 1
+
+        result = other - td
+        assert result._creso == other._creso
+        assert result.days == 1 - td.days
+
+        other2 = Timedelta(500)
+        msg = "Cannot cast 106752 days 00:00:00 to unit='ns' without overflow"
+        with pytest.raises(OutOfBoundsTimedelta, match=msg):
+            td + other2
+        with pytest.raises(OutOfBoundsTimedelta, match=msg):
+            other2 + td
+        with pytest.raises(OutOfBoundsTimedelta, match=msg):
+            td - other2
+        with pytest.raises(OutOfBoundsTimedelta, match=msg):
+            other2 - td
+
+    def test_min(self, td):
+        assert td.min <= td
+        assert td.min._creso == td._creso
+        assert td.min._value == NaT._value + 1
+
+    def test_max(self, td):
+        assert td.max >= td
+        assert td.max._creso == td._creso
+        assert td.max._value == np.iinfo(np.int64).max
+
+    def test_resolution(self, td):
+        expected = Timedelta._from_value_and_reso(1, td._creso)
+        result = td.resolution
+        assert result == expected
+        assert result._creso == expected._creso
+
+    def test_hash(self) -> None:
+        # GH#54037
+        second_resolution_max = Timedelta(0).as_unit("s").max
+
+        assert hash(second_resolution_max)
+
+
+def test_timedelta_class_min_max_resolution():
+    # when accessed on the class (as opposed to an instance), we default
+    #  to nanoseconds
+    assert Timedelta.min == Timedelta(NaT._value + 1)
+    assert Timedelta.min._creso == NpyDatetimeUnit.NPY_FR_ns.value
+
+    assert Timedelta.max == Timedelta(np.iinfo(np.int64).max)
+    assert Timedelta.max._creso == NpyDatetimeUnit.NPY_FR_ns.value
+
+    assert Timedelta.resolution == Timedelta(1)
+    assert Timedelta.resolution._creso == NpyDatetimeUnit.NPY_FR_ns.value
+
+
+class TestTimedeltaUnaryOps:
+    def test_invert(self):
+        td = Timedelta(10, unit="d")
+
+        msg = "bad operand type for unary ~"
+        with pytest.raises(TypeError, match=msg):
+            ~td
+
+        # check this matches pytimedelta and timedelta64
+        with pytest.raises(TypeError, match=msg):
+            ~(td.to_pytimedelta())
+
+        umsg = "ufunc 'invert' not supported for the input types"
+        with pytest.raises(TypeError, match=umsg):
+            ~(td.to_timedelta64())
+
+    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 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_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 = 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
+
+    # TODO: this is a test of to_timedelta string parsing
+    def test_iso_conversion(self):
+        # GH #21877
+        expected = Timedelta(1, unit="s")
+        assert to_timedelta("P0DT0H0M1S") == expected
+
+    # TODO: this is a test of to_timedelta returning NaT
+    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
+
+    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()
+
+        # GH#44460
+        msg = "dtype and copy arguments are ignored"
+        with pytest.raises(ValueError, match=msg):
+            td.to_numpy("m8[s]")
+        with pytest.raises(ValueError, match=msg):
+            td.to_numpy(copy=True)
+
+    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
+        msg = "invalid unit abbreviation"
+        with pytest.raises(ValueError, match=msg):
+            Timedelta("1foo")
+        msg = "unit abbreviation w/o a number"
+        with pytest.raises(ValueError, match=msg):
+            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
+        msg = "have leftover units"
+        with pytest.raises(ValueError, match=msg):
+            Timedelta("- 1days, 00")
+
+    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(seconds=1) + Timedelta(days=n) for n in range(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())
+
+    @pytest.mark.skip_ubsan
+    @pytest.mark.xfail(
+        reason="pd.Timedelta violates the Python hash invariant (GH#44504).",
+    )
+    @given(
+        st.integers(
+            min_value=(-sys.maxsize - 1) // 500,
+            max_value=sys.maxsize // 500,
+        )
+    )
+    def test_hash_equality_invariance(self, half_microseconds: int) -> None:
+        # GH#44504
+
+        nanoseconds = half_microseconds * 500
+
+        pandas_timedelta = Timedelta(nanoseconds)
+        numpy_timedelta = np.timedelta64(nanoseconds)
+
+        # See: https://docs.python.org/3/glossary.html#term-hashable
+        # Hashable objects which compare equal must have the same hash value.
+        assert pandas_timedelta != numpy_timedelta or hash(pandas_timedelta) == hash(
+            numpy_timedelta
+        )
+
+    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 == iNaT + 1
+        assert max_td._value == lib.i8max
+
+        # Beyond lower limit, a NAT before the Overflow
+        assert (min_td - Timedelta(1, "ns")) is NaT
+
+        msg = "int too (large|big) to convert"
+        with pytest.raises(OverflowError, match=msg):
+            min_td - Timedelta(2, "ns")
+
+        with pytest.raises(OverflowError, match=msg):
+            max_td + Timedelta(1, "ns")
+
+        # Same tests using the internal nanosecond values
+        td = Timedelta(min_td._value - 1, "ns")
+        assert td is NaT
+
+        msg = "Cannot cast -9223372036854775809 from ns to 'ns' without overflow"
+        with pytest.raises(OutOfBoundsTimedelta, match=msg):
+            Timedelta(min_td._value - 2, "ns")
+
+        msg = "Cannot cast 9223372036854775808 from ns to 'ns' without overflow"
+        with pytest.raises(OutOfBoundsTimedelta, match=msg):
+            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_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 == "min"
+        assert Timedelta(days=1, seconds=6).resolution_string == "s"
+        assert Timedelta(days=1, milliseconds=6).resolution_string == "ms"
+        assert Timedelta(days=1, microseconds=6).resolution_string == "us"
+        assert Timedelta(days=1, nanoseconds=6).resolution_string == "ns"
+
+    def test_resolution_deprecated(self):
+        # GH#21344
+        td = Timedelta(days=4, hours=3)
+        result = td.resolution
+        assert result == Timedelta(nanoseconds=1)
+
+        # Check that the attribute is available on the class, mirroring
+        #  the stdlib timedelta behavior
+        result = Timedelta.resolution
+        assert result == Timedelta(nanoseconds=1)
+
+
+@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),
+        (NaT, True),
+    ],
+)
+def test_truthiness(value, expected):
+    # https://github.com/pandas-dev/pandas/issues/21484
+    assert bool(value) is expected
+
+
+def test_timedelta_attribute_precision():
+    # GH 31354
+    td = Timedelta(1552211999999999872, unit="ns")
+    result = td.days * 86400
+    result += td.seconds
+    result *= 1000000
+    result += td.microseconds
+    result *= 1000
+    result += td.nanoseconds
+    expected = td._value
+    assert result == expected

llmeval-env/lib/python3.10/site-packages/pandas/tests/scalar/timestamp/methods/test_as_unit.py

@@ -0,0 +1,86 @@
+import pytest
+
+from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
+from pandas.errors import OutOfBoundsDatetime
+
+from pandas import Timestamp
+
+
+class TestTimestampAsUnit:
+    def test_as_unit(self):
+        ts = Timestamp("1970-01-01").as_unit("ns")
+        assert ts.unit == "ns"
+
+        assert ts.as_unit("ns") is ts
+
+        res = ts.as_unit("us")
+        assert res._value == ts._value // 1000
+        assert res._creso == NpyDatetimeUnit.NPY_FR_us.value
+
+        rt = res.as_unit("ns")
+        assert rt._value == ts._value
+        assert rt._creso == ts._creso
+
+        res = ts.as_unit("ms")
+        assert res._value == ts._value // 1_000_000
+        assert res._creso == NpyDatetimeUnit.NPY_FR_ms.value
+
+        rt = res.as_unit("ns")
+        assert rt._value == ts._value
+        assert rt._creso == ts._creso
+
+        res = ts.as_unit("s")
+        assert res._value == ts._value // 1_000_000_000
+        assert res._creso == NpyDatetimeUnit.NPY_FR_s.value
+
+        rt = res.as_unit("ns")
+        assert rt._value == ts._value
+        assert rt._creso == ts._creso
+
+    def test_as_unit_overflows(self):
+        # microsecond that would be just out of bounds for nano
+        us = 9223372800000000
+        ts = Timestamp._from_value_and_reso(us, NpyDatetimeUnit.NPY_FR_us.value, None)
+
+        msg = "Cannot cast 2262-04-12 00:00:00 to unit='ns' without overflow"
+        with pytest.raises(OutOfBoundsDatetime, match=msg):
+            ts.as_unit("ns")
+
+        res = ts.as_unit("ms")
+        assert res._value == us // 1000
+        assert res._creso == NpyDatetimeUnit.NPY_FR_ms.value
+
+    def test_as_unit_rounding(self):
+        ts = Timestamp(1_500_000)  # i.e. 1500 microseconds
+        res = ts.as_unit("ms")
+
+        expected = Timestamp(1_000_000)  # i.e. 1 millisecond
+        assert res == expected
+
+        assert res._creso == NpyDatetimeUnit.NPY_FR_ms.value
+        assert res._value == 1
+
+        with pytest.raises(ValueError, match="Cannot losslessly convert units"):
+            ts.as_unit("ms", round_ok=False)
+
+    def test_as_unit_non_nano(self):
+        # case where we are going neither to nor from nano
+        ts = Timestamp("1970-01-02").as_unit("ms")
+        assert ts.year == 1970
+        assert ts.month == 1
+        assert ts.day == 2
+        assert ts.hour == ts.minute == ts.second == ts.microsecond == ts.nanosecond == 0
+
+        res = ts.as_unit("s")
+        assert res._value == 24 * 3600
+        assert res.year == 1970
+        assert res.month == 1
+        assert res.day == 2
+        assert (
+            res.hour
+            == res.minute
+            == res.second
+            == res.microsecond
+            == res.nanosecond
+            == 0
+        )

llmeval-env/lib/python3.10/site-packages/pandas/tests/scalar/timestamp/methods/test_normalize.py

@@ -0,0 +1,22 @@
+import pytest
+
+from pandas._libs.tslibs import Timestamp
+from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
+
+
+class TestTimestampNormalize:
+    @pytest.mark.parametrize("arg", ["2013-11-30", "2013-11-30 12:00:00"])
+    @pytest.mark.parametrize("unit", ["ns", "us", "ms", "s"])
+    def test_normalize(self, tz_naive_fixture, arg, unit):
+        tz = tz_naive_fixture
+        ts = Timestamp(arg, tz=tz).as_unit(unit)
+        result = ts.normalize()
+        expected = Timestamp("2013-11-30", tz=tz)
+        assert result == expected
+        assert result._creso == getattr(NpyDatetimeUnit, f"NPY_FR_{unit}").value
+
+    def test_normalize_pre_epoch_dates(self):
+        # GH: 36294
+        result = Timestamp("1969-01-01 09:00:00").normalize()
+        expected = Timestamp("1969-01-01 00:00:00")
+        assert result == expected

llmeval-env/lib/python3.10/site-packages/pandas/tests/scalar/timestamp/methods/test_replace.py

@@ -0,0 +1,193 @@
+from datetime import datetime
+
+from dateutil.tz import gettz
+import numpy as np
+import pytest
+import pytz
+
+from pandas._libs.tslibs import (
+    OutOfBoundsDatetime,
+    Timestamp,
+    conversion,
+)
+from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
+import pandas.util._test_decorators as td
+
+import pandas._testing as tm
+
+
+class TestTimestampReplace:
+    def test_replace_out_of_pydatetime_bounds(self):
+        # GH#50348
+        ts = Timestamp("2016-01-01").as_unit("ns")
+
+        msg = "Out of bounds timestamp: 99999-01-01 00:00:00 with frequency 'ns'"
+        with pytest.raises(OutOfBoundsDatetime, match=msg):
+            ts.replace(year=99_999)
+
+        ts = ts.as_unit("ms")
+        result = ts.replace(year=99_999)
+        assert result.year == 99_999
+        assert result._value == Timestamp(np.datetime64("99999-01-01", "ms"))._value
+
+    def test_replace_non_nano(self):
+        ts = Timestamp._from_value_and_reso(
+            91514880000000000, NpyDatetimeUnit.NPY_FR_us.value, None
+        )
+        assert ts.to_pydatetime() == datetime(4869, 12, 28)
+
+        result = ts.replace(year=4900)
+        assert result._creso == ts._creso
+        assert result.to_pydatetime() == datetime(4900, 12, 28)
+
+    def test_replace_naive(self):
+        # GH#14621, GH#7825
+        ts = Timestamp("2016-01-01 09:00:00")
+        result = ts.replace(hour=0)
+        expected = Timestamp("2016-01-01 00:00:00")
+        assert result == expected
+
+    def test_replace_aware(self, tz_aware_fixture):
+        tz = tz_aware_fixture
+        # GH#14621, GH#7825
+        # replacing datetime components with and w/o presence of a timezone
+        ts = Timestamp("2016-01-01 09:00:00", tz=tz)
+        result = ts.replace(hour=0)
+        expected = Timestamp("2016-01-01 00:00:00", tz=tz)
+        assert result == expected
+
+    def test_replace_preserves_nanos(self, tz_aware_fixture):
+        tz = tz_aware_fixture
+        # GH#14621, GH#7825
+        ts = Timestamp("2016-01-01 09:00:00.000000123", tz=tz)
+        result = ts.replace(hour=0)
+        expected = Timestamp("2016-01-01 00:00:00.000000123", tz=tz)
+        assert result == expected
+
+    def test_replace_multiple(self, tz_aware_fixture):
+        tz = tz_aware_fixture
+        # GH#14621, GH#7825
+        # replacing datetime components with and w/o presence of a timezone
+        # test all
+        ts = Timestamp("2016-01-01 09:00:00.000000123", tz=tz)
+        result = ts.replace(
+            year=2015,
+            month=2,
+            day=2,
+            hour=0,
+            minute=5,
+            second=5,
+            microsecond=5,
+            nanosecond=5,
+        )
+        expected = Timestamp("2015-02-02 00:05:05.000005005", tz=tz)
+        assert result == expected
+
+    def test_replace_invalid_kwarg(self, tz_aware_fixture):
+        tz = tz_aware_fixture
+        # GH#14621, GH#7825
+        ts = Timestamp("2016-01-01 09:00:00.000000123", tz=tz)
+        msg = r"replace\(\) got an unexpected keyword argument"
+        with pytest.raises(TypeError, match=msg):
+            ts.replace(foo=5)
+
+    def test_replace_integer_args(self, tz_aware_fixture):
+        tz = tz_aware_fixture
+        # GH#14621, GH#7825
+        ts = Timestamp("2016-01-01 09:00:00.000000123", tz=tz)
+        msg = "value must be an integer, received <class 'float'> for hour"
+        with pytest.raises(ValueError, match=msg):
+            ts.replace(hour=0.1)
+
+    def test_replace_tzinfo_equiv_tz_localize_none(self):
+        # GH#14621, GH#7825
+        # assert conversion to naive is the same as replacing tzinfo with None
+        ts = Timestamp("2013-11-03 01:59:59.999999-0400", tz="US/Eastern")
+        assert ts.tz_localize(None) == ts.replace(tzinfo=None)
+
+    @td.skip_if_windows
+    def test_replace_tzinfo(self):
+        # GH#15683
+        dt = datetime(2016, 3, 27, 1)
+        tzinfo = pytz.timezone("CET").localize(dt, is_dst=False).tzinfo
+
+        result_dt = dt.replace(tzinfo=tzinfo)
+        result_pd = Timestamp(dt).replace(tzinfo=tzinfo)
+
+        # datetime.timestamp() converts in the local timezone
+        with tm.set_timezone("UTC"):
+            assert result_dt.timestamp() == result_pd.timestamp()
+
+        assert result_dt == result_pd
+        assert result_dt == result_pd.to_pydatetime()
+
+        result_dt = dt.replace(tzinfo=tzinfo).replace(tzinfo=None)
+        result_pd = Timestamp(dt).replace(tzinfo=tzinfo).replace(tzinfo=None)
+
+        # datetime.timestamp() converts in the local timezone
+        with tm.set_timezone("UTC"):
+            assert result_dt.timestamp() == result_pd.timestamp()
+
+        assert result_dt == result_pd
+        assert result_dt == result_pd.to_pydatetime()
+
+    @pytest.mark.parametrize(
+        "tz, normalize",
+        [
+            (pytz.timezone("US/Eastern"), lambda x: x.tzinfo.normalize(x)),
+            (gettz("US/Eastern"), lambda x: x),
+        ],
+    )
+    def test_replace_across_dst(self, tz, normalize):
+        # GH#18319 check that 1) timezone is correctly normalized and
+        # 2) that hour is not incorrectly changed by this normalization
+        ts_naive = Timestamp("2017-12-03 16:03:30")
+        ts_aware = conversion.localize_pydatetime(ts_naive, tz)
+
+        # Preliminary sanity-check
+        assert ts_aware == normalize(ts_aware)
+
+        # Replace across DST boundary
+        ts2 = ts_aware.replace(month=6)
+
+        # Check that `replace` preserves hour literal
+        assert (ts2.hour, ts2.minute) == (ts_aware.hour, ts_aware.minute)
+
+        # Check that post-replace object is appropriately normalized
+        ts2b = normalize(ts2)
+        assert ts2 == ts2b
+
+    @pytest.mark.parametrize("unit", ["ns", "us", "ms", "s"])
+    def test_replace_dst_border(self, unit):
+        # Gh 7825
+        t = Timestamp("2013-11-3", tz="America/Chicago").as_unit(unit)
+        result = t.replace(hour=3)
+        expected = Timestamp("2013-11-3 03:00:00", tz="America/Chicago")
+        assert result == expected
+        assert result._creso == getattr(NpyDatetimeUnit, f"NPY_FR_{unit}").value
+
+    @pytest.mark.parametrize("fold", [0, 1])
+    @pytest.mark.parametrize("tz", ["dateutil/Europe/London", "Europe/London"])
+    @pytest.mark.parametrize("unit", ["ns", "us", "ms", "s"])
+    def test_replace_dst_fold(self, fold, tz, unit):
+        # GH 25017
+        d = datetime(2019, 10, 27, 2, 30)
+        ts = Timestamp(d, tz=tz).as_unit(unit)
+        result = ts.replace(hour=1, fold=fold)
+        expected = Timestamp(datetime(2019, 10, 27, 1, 30)).tz_localize(
+            tz, ambiguous=not fold
+        )
+        assert result == expected
+        assert result._creso == getattr(NpyDatetimeUnit, f"NPY_FR_{unit}").value
+
+    @pytest.mark.parametrize("fold", [0, 1])
+    def test_replace_preserves_fold(self, fold):
+        # GH#37610. Check that replace preserves Timestamp fold property
+        tz = gettz("Europe/Moscow")
+
+        ts = Timestamp(
+            year=2009, month=10, day=25, hour=2, minute=30, fold=fold, tzinfo=tz
+        )
+        ts_replaced = ts.replace(second=1)
+
+        assert ts_replaced.fold == fold

llmeval-env/lib/python3.10/site-packages/pandas/tests/scalar/timestamp/methods/test_round.py

@@ -0,0 +1,383 @@
+from hypothesis import (
+    given,
+    strategies as st,
+)
+import numpy as np
+import pytest
+import pytz
+
+from pandas._libs import lib
+from pandas._libs.tslibs import (
+    NaT,
+    OutOfBoundsDatetime,
+    Timedelta,
+    Timestamp,
+    iNaT,
+    to_offset,
+)
+from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
+from pandas._libs.tslibs.period import INVALID_FREQ_ERR_MSG
+
+import pandas._testing as tm
+
+
+class TestTimestampRound:
+    def test_round_division_by_zero_raises(self):
+        ts = Timestamp("2016-01-01")
+
+        msg = "Division by zero in rounding"
+        with pytest.raises(ValueError, match=msg):
+            ts.round("0ns")
+
+    @pytest.mark.parametrize(
+        "timestamp, freq, expected",
+        [
+            ("20130101 09:10:11", "D", "20130101"),
+            ("20130101 19:10:11", "D", "20130102"),
+            ("20130201 12:00:00", "D", "20130202"),
+            ("20130104 12:00:00", "D", "20130105"),
+            ("2000-01-05 05:09:15.13", "D", "2000-01-05 00:00:00"),
+            ("2000-01-05 05:09:15.13", "h", "2000-01-05 05:00:00"),
+            ("2000-01-05 05:09:15.13", "s", "2000-01-05 05:09:15"),
+        ],
+    )
+    def test_round_frequencies(self, timestamp, freq, expected):
+        dt = Timestamp(timestamp)
+        result = dt.round(freq)
+        expected = Timestamp(expected)
+        assert result == expected
+
+    def test_round_tzaware(self):
+        dt = Timestamp("20130101 09:10:11", tz="US/Eastern")
+        result = dt.round("D")
+        expected = Timestamp("20130101", tz="US/Eastern")
+        assert result == expected
+
+        dt = Timestamp("20130101 09:10:11", tz="US/Eastern")
+        result = dt.round("s")
+        assert result == dt
+
+    def test_round_30min(self):
+        # round
+        dt = Timestamp("20130104 12:32:00")
+        result = dt.round("30Min")
+        expected = Timestamp("20130104 12:30:00")
+        assert result == expected
+
+    def test_round_subsecond(self):
+        # GH#14440 & GH#15578
+        result = Timestamp("2016-10-17 12:00:00.0015").round("ms")
+        expected = Timestamp("2016-10-17 12:00:00.002000")
+        assert result == expected
+
+        result = Timestamp("2016-10-17 12:00:00.00149").round("ms")
+        expected = Timestamp("2016-10-17 12:00:00.001000")
+        assert result == expected
+
+        ts = Timestamp("2016-10-17 12:00:00.0015")
+        for freq in ["us", "ns"]:
+            assert ts == ts.round(freq)
+
+        result = Timestamp("2016-10-17 12:00:00.001501031").round("10ns")
+        expected = Timestamp("2016-10-17 12:00:00.001501030")
+        assert result == expected
+
+    def test_round_nonstandard_freq(self):
+        with tm.assert_produces_warning(False):
+            Timestamp("2016-10-17 12:00:00.001501031").round("1010ns")
+
+    def test_round_invalid_arg(self):
+        stamp = Timestamp("2000-01-05 05:09:15.13")
+        with pytest.raises(ValueError, match=INVALID_FREQ_ERR_MSG):
+            stamp.round("foo")
+
+    @pytest.mark.parametrize(
+        "test_input, rounder, freq, expected",
+        [
+            ("2117-01-01 00:00:45", "floor", "15s", "2117-01-01 00:00:45"),
+            ("2117-01-01 00:00:45", "ceil", "15s", "2117-01-01 00:00:45"),
+            (
+                "2117-01-01 00:00:45.000000012",
+                "floor",
+                "10ns",
+                "2117-01-01 00:00:45.000000010",
+            ),
+            (
+                "1823-01-01 00:00:01.000000012",
+                "ceil",
+                "10ns",
+                "1823-01-01 00:00:01.000000020",
+            ),
+            ("1823-01-01 00:00:01", "floor", "1s", "1823-01-01 00:00:01"),
+            ("1823-01-01 00:00:01", "ceil", "1s", "1823-01-01 00:00:01"),
+            ("NaT", "floor", "1s", "NaT"),
+            ("NaT", "ceil", "1s", "NaT"),
+        ],
+    )
+    def test_ceil_floor_edge(self, test_input, rounder, freq, expected):
+        dt = Timestamp(test_input)
+        func = getattr(dt, rounder)
+        result = func(freq)
+
+        if dt is NaT:
+            assert result is NaT
+        else:
+            expected = Timestamp(expected)
+            assert result == expected
+
+    @pytest.mark.parametrize(
+        "test_input, freq, expected",
+        [
+            ("2018-01-01 00:02:06", "2s", "2018-01-01 00:02:06"),
+            ("2018-01-01 00:02:00", "2min", "2018-01-01 00:02:00"),
+            ("2018-01-01 00:04:00", "4min", "2018-01-01 00:04:00"),
+            ("2018-01-01 00:15:00", "15min", "2018-01-01 00:15:00"),
+            ("2018-01-01 00:20:00", "20min", "2018-01-01 00:20:00"),
+            ("2018-01-01 03:00:00", "3h", "2018-01-01 03:00:00"),
+        ],
+    )
+    @pytest.mark.parametrize("rounder", ["ceil", "floor", "round"])
+    def test_round_minute_freq(self, test_input, freq, expected, rounder):
+        # Ensure timestamps that shouldn't round dont!
+        # GH#21262
+
+        dt = Timestamp(test_input)
+        expected = Timestamp(expected)
+        func = getattr(dt, rounder)
+        result = func(freq)
+        assert result == expected
+
+    @pytest.mark.parametrize("unit", ["ns", "us", "ms", "s"])
+    def test_ceil(self, unit):
+        dt = Timestamp("20130101 09:10:11").as_unit(unit)
+        result = dt.ceil("D")
+        expected = Timestamp("20130102")
+        assert result == expected
+        assert result._creso == dt._creso
+
+    @pytest.mark.parametrize("unit", ["ns", "us", "ms", "s"])
+    def test_floor(self, unit):
+        dt = Timestamp("20130101 09:10:11").as_unit(unit)
+        result = dt.floor("D")
+        expected = Timestamp("20130101")
+        assert result == expected
+        assert result._creso == dt._creso
+
+    @pytest.mark.parametrize("method", ["ceil", "round", "floor"])
+    @pytest.mark.parametrize(
+        "unit",
+        ["ns", "us", "ms", "s"],
+    )
+    def test_round_dst_border_ambiguous(self, method, unit):
+        # GH 18946 round near "fall back" DST
+        ts = Timestamp("2017-10-29 00:00:00", tz="UTC").tz_convert("Europe/Madrid")
+        ts = ts.as_unit(unit)
+        #
+        result = getattr(ts, method)("h", ambiguous=True)
+        assert result == ts
+        assert result._creso == getattr(NpyDatetimeUnit, f"NPY_FR_{unit}").value
+
+        result = getattr(ts, method)("h", ambiguous=False)
+        expected = Timestamp("2017-10-29 01:00:00", tz="UTC").tz_convert(
+            "Europe/Madrid"
+        )
+        assert result == expected
+        assert result._creso == getattr(NpyDatetimeUnit, f"NPY_FR_{unit}").value
+
+        result = getattr(ts, method)("h", ambiguous="NaT")
+        assert result is NaT
+
+        msg = "Cannot infer dst time"
+        with pytest.raises(pytz.AmbiguousTimeError, match=msg):
+            getattr(ts, method)("h", ambiguous="raise")
+
+    @pytest.mark.parametrize(
+        "method, ts_str, freq",
+        [
+            ["ceil", "2018-03-11 01:59:00-0600", "5min"],
+            ["round", "2018-03-11 01:59:00-0600", "5min"],
+            ["floor", "2018-03-11 03:01:00-0500", "2h"],
+        ],
+    )
+    @pytest.mark.parametrize(
+        "unit",
+        ["ns", "us", "ms", "s"],
+    )
+    def test_round_dst_border_nonexistent(self, method, ts_str, freq, unit):
+        # GH 23324 round near "spring forward" DST
+        ts = Timestamp(ts_str, tz="America/Chicago").as_unit(unit)
+        result = getattr(ts, method)(freq, nonexistent="shift_forward")
+        expected = Timestamp("2018-03-11 03:00:00", tz="America/Chicago")
+        assert result == expected
+        assert result._creso == getattr(NpyDatetimeUnit, f"NPY_FR_{unit}").value
+
+        result = getattr(ts, method)(freq, nonexistent="NaT")
+        assert result is NaT
+
+        msg = "2018-03-11 02:00:00"
+        with pytest.raises(pytz.NonExistentTimeError, match=msg):
+            getattr(ts, method)(freq, nonexistent="raise")
+
+    @pytest.mark.parametrize(
+        "timestamp",
+        [
+            "2018-01-01 0:0:0.124999360",
+            "2018-01-01 0:0:0.125000367",
+            "2018-01-01 0:0:0.125500",
+            "2018-01-01 0:0:0.126500",
+            "2018-01-01 12:00:00",
+            "2019-01-01 12:00:00",
+        ],
+    )
+    @pytest.mark.parametrize(
+        "freq",
+        [
+            "2ns",
+            "3ns",
+            "4ns",
+            "5ns",
+            "6ns",
+            "7ns",
+            "250ns",
+            "500ns",
+            "750ns",
+            "1us",
+            "19us",
+            "250us",
+            "500us",
+            "750us",
+            "1s",
+            "2s",
+            "3s",
+            "1D",
+        ],
+    )
+    def test_round_int64(self, timestamp, freq):
+        # check that all rounding modes are accurate to int64 precision
+        # see GH#22591
+        dt = Timestamp(timestamp).as_unit("ns")
+        unit = to_offset(freq).nanos
+
+        # test floor
+        result = dt.floor(freq)
+        assert result._value % unit == 0, f"floor not a {freq} multiple"
+        assert 0 <= dt._value - result._value < unit, "floor error"
+
+        # test ceil
+        result = dt.ceil(freq)
+        assert result._value % unit == 0, f"ceil not a {freq} multiple"
+        assert 0 <= result._value - dt._value < unit, "ceil error"
+
+        # test round
+        result = dt.round(freq)
+        assert result._value % unit == 0, f"round not a {freq} multiple"
+        assert abs(result._value - dt._value) <= unit // 2, "round error"
+        if unit % 2 == 0 and abs(result._value - dt._value) == unit // 2:
+            # round half to even
+            assert result._value // unit % 2 == 0, "round half to even error"
+
+    def test_round_implementation_bounds(self):
+        # See also: analogous test for Timedelta
+        result = Timestamp.min.ceil("s")
+        expected = Timestamp(1677, 9, 21, 0, 12, 44)
+        assert result == expected
+
+        result = Timestamp.max.floor("s")
+        expected = Timestamp.max - Timedelta(854775807)
+        assert result == expected
+
+        msg = "Cannot round 1677-09-21 00:12:43.145224193 to freq=<Second>"
+        with pytest.raises(OutOfBoundsDatetime, match=msg):
+            Timestamp.min.floor("s")
+
+        with pytest.raises(OutOfBoundsDatetime, match=msg):
+            Timestamp.min.round("s")
+
+        msg = "Cannot round 2262-04-11 23:47:16.854775807 to freq=<Second>"
+        with pytest.raises(OutOfBoundsDatetime, match=msg):
+            Timestamp.max.ceil("s")
+
+        with pytest.raises(OutOfBoundsDatetime, match=msg):
+            Timestamp.max.round("s")
+
+    @given(val=st.integers(iNaT + 1, lib.i8max))
+    @pytest.mark.parametrize(
+        "method", [Timestamp.round, Timestamp.floor, Timestamp.ceil]
+    )
+    def test_round_sanity(self, val, method):
+        cls = Timestamp
+        err_cls = OutOfBoundsDatetime
+
+        val = np.int64(val)
+        ts = cls(val)
+
+        def checker(ts, nanos, unit):
+            # First check that we do raise in cases where we should
+            if nanos == 1:
+                pass
+            else:
+                div, mod = divmod(ts._value, nanos)
+                diff = int(nanos - mod)
+                lb = ts._value - mod
+                assert lb <= ts._value  # i.e. no overflows with python ints
+                ub = ts._value + diff
+                assert ub > ts._value  # i.e. no overflows with python ints
+
+                msg = "without overflow"
+                if mod == 0:
+                    # We should never be raising in this
+                    pass
+                elif method is cls.ceil:
+                    if ub > cls.max._value:
+                        with pytest.raises(err_cls, match=msg):
+                            method(ts, unit)
+                        return
+                elif method is cls.floor:
+                    if lb < cls.min._value:
+                        with pytest.raises(err_cls, match=msg):
+                            method(ts, unit)
+                        return
+                elif mod >= diff:
+                    if ub > cls.max._value:
+                        with pytest.raises(err_cls, match=msg):
+                            method(ts, unit)
+                        return
+                elif lb < cls.min._value:
+                    with pytest.raises(err_cls, match=msg):
+                        method(ts, unit)
+                    return
+
+            res = method(ts, unit)
+
+            td = res - ts
+            diff = abs(td._value)
+            assert diff < nanos
+            assert res._value % nanos == 0
+
+            if method is cls.round:
+                assert diff <= nanos / 2
+            elif method is cls.floor:
+                assert res <= ts
+            elif method is cls.ceil:
+                assert res >= ts
+
+        nanos = 1
+        checker(ts, nanos, "ns")
+
+        nanos = 1000
+        checker(ts, nanos, "us")
+
+        nanos = 1_000_000
+        checker(ts, nanos, "ms")
+
+        nanos = 1_000_000_000
+        checker(ts, nanos, "s")
+
+        nanos = 60 * 1_000_000_000
+        checker(ts, nanos, "min")
+
+        nanos = 60 * 60 * 1_000_000_000
+        checker(ts, nanos, "h")
+
+        nanos = 24 * 60 * 60 * 1_000_000_000
+        checker(ts, nanos, "D")

llmeval-env/lib/python3.10/site-packages/pandas/tests/scalar/timestamp/methods/test_timestamp_method.py

@@ -0,0 +1,31 @@
+# NB: This is for the Timestamp.timestamp *method* specifically, not
+# the Timestamp class in general.
+
+from pytz import utc
+
+from pandas._libs.tslibs import Timestamp
+import pandas.util._test_decorators as td
+
+import pandas._testing as tm
+
+
+class TestTimestampMethod:
+    @td.skip_if_windows
+    def test_timestamp(self, fixed_now_ts):
+        # GH#17329
+        # tz-naive --> treat it as if it were UTC for purposes of timestamp()
+        ts = fixed_now_ts
+        uts = ts.replace(tzinfo=utc)
+        assert ts.timestamp() == uts.timestamp()
+
+        tsc = Timestamp("2014-10-11 11:00:01.12345678", tz="US/Central")
+        utsc = tsc.tz_convert("UTC")
+
+        # utsc is a different representation of the same time
+        assert tsc.timestamp() == utsc.timestamp()
+
+        # datetime.timestamp() converts in the local timezone
+        with tm.set_timezone("UTC"):
+            # should agree with datetime.timestamp method
+            dt = ts.to_pydatetime()
+            assert dt.timestamp() == ts.timestamp()

llmeval-env/lib/python3.10/site-packages/pandas/tests/scalar/timestamp/methods/test_to_julian_date.py

@@ -0,0 +1,28 @@
+from pandas import Timestamp
+
+
+class TestTimestampToJulianDate:
+    def test_compare_1700(self):
+        ts = Timestamp("1700-06-23")
+        res = ts.to_julian_date()
+        assert res == 2_342_145.5
+
+    def test_compare_2000(self):
+        ts = Timestamp("2000-04-12")
+        res = ts.to_julian_date()
+        assert res == 2_451_646.5
+
+    def test_compare_2100(self):
+        ts = Timestamp("2100-08-12")
+        res = ts.to_julian_date()
+        assert res == 2_488_292.5
+
+    def test_compare_hour01(self):
+        ts = Timestamp("2000-08-12T01:00:00")
+        res = ts.to_julian_date()
+        assert res == 2_451_768.5416666666666666
+
+    def test_compare_hour13(self):
+        ts = Timestamp("2000-08-12T13:00:00")
+        res = ts.to_julian_date()
+        assert res == 2_451_769.0416666666666666

llmeval-env/lib/python3.10/site-packages/pandas/tests/scalar/timestamp/methods/test_to_pydatetime.py

@@ -0,0 +1,81 @@
+from datetime import (
+    datetime,
+    timedelta,
+)
+
+import pytz
+
+from pandas._libs.tslibs.timezones import dateutil_gettz as gettz
+import pandas.util._test_decorators as td
+
+from pandas import Timestamp
+import pandas._testing as tm
+
+
+class TestTimestampToPyDatetime:
+    def test_to_pydatetime_fold(self):
+        # GH#45087
+        tzstr = "dateutil/usr/share/zoneinfo/America/Chicago"
+        ts = Timestamp(year=2013, month=11, day=3, hour=1, minute=0, fold=1, tz=tzstr)
+        dt = ts.to_pydatetime()
+        assert dt.fold == 1
+
+    def test_to_pydatetime_nonzero_nano(self):
+        ts = Timestamp("2011-01-01 9:00:00.123456789")
+
+        # Warn the user of data loss (nanoseconds).
+        with tm.assert_produces_warning(UserWarning):
+            expected = datetime(2011, 1, 1, 9, 0, 0, 123456)
+            result = ts.to_pydatetime()
+            assert result == expected
+
+    def test_timestamp_to_datetime(self):
+        stamp = Timestamp("20090415", tz="US/Eastern")
+        dtval = stamp.to_pydatetime()
+        assert stamp == dtval
+        assert stamp.tzinfo == dtval.tzinfo
+
+    def test_timestamp_to_pydatetime_dateutil(self):
+        stamp = Timestamp("20090415", tz="dateutil/US/Eastern")
+        dtval = stamp.to_pydatetime()
+        assert stamp == dtval
+        assert stamp.tzinfo == dtval.tzinfo
+
+    def test_timestamp_to_pydatetime_explicit_pytz(self):
+        stamp = Timestamp("20090415", tz=pytz.timezone("US/Eastern"))
+        dtval = stamp.to_pydatetime()
+        assert stamp == dtval
+        assert stamp.tzinfo == dtval.tzinfo
+
+    @td.skip_if_windows
+    def test_timestamp_to_pydatetime_explicit_dateutil(self):
+        stamp = Timestamp("20090415", tz=gettz("US/Eastern"))
+        dtval = stamp.to_pydatetime()
+        assert stamp == dtval
+        assert stamp.tzinfo == dtval.tzinfo
+
+    def test_to_pydatetime_bijective(self):
+        # Ensure that converting to datetime and back only loses precision
+        # by going from nanoseconds to microseconds.
+        exp_warning = None if Timestamp.max.nanosecond == 0 else UserWarning
+        with tm.assert_produces_warning(exp_warning):
+            pydt_max = Timestamp.max.to_pydatetime()
+
+        assert (
+            Timestamp(pydt_max).as_unit("ns")._value / 1000
+            == Timestamp.max._value / 1000
+        )
+
+        exp_warning = None if Timestamp.min.nanosecond == 0 else UserWarning
+        with tm.assert_produces_warning(exp_warning):
+            pydt_min = Timestamp.min.to_pydatetime()
+
+        # The next assertion can be enabled once GH#39221 is merged
+        #  assert pydt_min < Timestamp.min  # this is bc nanos are dropped
+        tdus = timedelta(microseconds=1)
+        assert pydt_min + tdus > Timestamp.min
+
+        assert (
+            Timestamp(pydt_min + tdus).as_unit("ns")._value / 1000
+            == Timestamp.min._value / 1000
+        )

llmeval-env/lib/python3.10/site-packages/pandas/tests/scalar/timestamp/methods/test_tz_convert.py

@@ -0,0 +1,51 @@
+import dateutil
+import pytest
+
+from pandas._libs.tslibs import timezones
+import pandas.util._test_decorators as td
+
+from pandas import Timestamp
+
+
+class TestTimestampTZConvert:
+    @pytest.mark.parametrize("tzstr", ["US/Eastern", "dateutil/US/Eastern"])
+    def test_astimezone(self, tzstr):
+        # astimezone is an alias for tz_convert, so keep it with
+        # the tz_convert tests
+        utcdate = Timestamp("3/11/2012 22:00", tz="UTC")
+        expected = utcdate.tz_convert(tzstr)
+        result = utcdate.astimezone(tzstr)
+        assert expected == result
+        assert isinstance(result, Timestamp)
+
+    @pytest.mark.parametrize(
+        "stamp",
+        [
+            "2014-02-01 09:00",
+            "2014-07-08 09:00",
+            "2014-11-01 17:00",
+            "2014-11-05 00:00",
+        ],
+    )
+    def test_tz_convert_roundtrip(self, stamp, tz_aware_fixture):
+        tz = tz_aware_fixture
+
+        ts = Timestamp(stamp, tz="UTC")
+        converted = ts.tz_convert(tz)
+
+        reset = converted.tz_convert(None)
+        assert reset == Timestamp(stamp)
+        assert reset.tzinfo is None
+        assert reset == converted.tz_convert("UTC").tz_localize(None)
+
+    @td.skip_if_windows
+    def test_tz_convert_utc_with_system_utc(self):
+        # from system utc to real utc
+        ts = Timestamp("2001-01-05 11:56", tz=timezones.maybe_get_tz("dateutil/UTC"))
+        # check that the time hasn't changed.
+        assert ts == ts.tz_convert(dateutil.tz.tzutc())
+
+        # from system utc to real utc
+        ts = Timestamp("2001-01-05 11:56", tz=timezones.maybe_get_tz("dateutil/UTC"))
+        # check that the time hasn't changed.
+        assert ts == ts.tz_convert(dateutil.tz.tzutc())

llmeval-env/lib/python3.10/site-packages/pandas/tests/scalar/timestamp/methods/test_tz_localize.py

@@ -0,0 +1,351 @@
+from datetime import timedelta
+import re
+
+from dateutil.tz import gettz
+import pytest
+import pytz
+from pytz.exceptions import (
+    AmbiguousTimeError,
+    NonExistentTimeError,
+)
+
+from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
+from pandas.errors import OutOfBoundsDatetime
+
+from pandas import (
+    NaT,
+    Timestamp,
+)
+
+try:
+    from zoneinfo import ZoneInfo
+except ImportError:
+    # Cannot assign to a type
+    ZoneInfo = None  # type: ignore[misc, assignment]
+
+
+class TestTimestampTZLocalize:
+    @pytest.mark.skip_ubsan
+    def test_tz_localize_pushes_out_of_bounds(self):
+        # GH#12677
+        # tz_localize that pushes away from the boundary is OK
+        msg = (
+            f"Converting {Timestamp.min.strftime('%Y-%m-%d %H:%M:%S')} "
+            f"underflows past {Timestamp.min}"
+        )
+        pac = Timestamp.min.tz_localize("US/Pacific")
+        assert pac._value > Timestamp.min._value
+        pac.tz_convert("Asia/Tokyo")  # tz_convert doesn't change value
+        with pytest.raises(OutOfBoundsDatetime, match=msg):
+            Timestamp.min.tz_localize("Asia/Tokyo")
+
+        # tz_localize that pushes away from the boundary is OK
+        msg = (
+            f"Converting {Timestamp.max.strftime('%Y-%m-%d %H:%M:%S')} "
+            f"overflows past {Timestamp.max}"
+        )
+        tokyo = Timestamp.max.tz_localize("Asia/Tokyo")
+        assert tokyo._value < Timestamp.max._value
+        tokyo.tz_convert("US/Pacific")  # tz_convert doesn't change value
+        with pytest.raises(OutOfBoundsDatetime, match=msg):
+            Timestamp.max.tz_localize("US/Pacific")
+
+    @pytest.mark.parametrize("unit", ["ns", "us", "ms", "s"])
+    def test_tz_localize_ambiguous_bool(self, unit):
+        # make sure that we are correctly accepting bool values as ambiguous
+        # GH#14402
+        ts = Timestamp("2015-11-01 01:00:03").as_unit(unit)
+        expected0 = Timestamp("2015-11-01 01:00:03-0500", tz="US/Central")
+        expected1 = Timestamp("2015-11-01 01:00:03-0600", tz="US/Central")
+
+        msg = "Cannot infer dst time from 2015-11-01 01:00:03"
+        with pytest.raises(pytz.AmbiguousTimeError, match=msg):
+            ts.tz_localize("US/Central")
+
+        with pytest.raises(pytz.AmbiguousTimeError, match=msg):
+            ts.tz_localize("dateutil/US/Central")
+
+        if ZoneInfo is not None:
+            try:
+                tz = ZoneInfo("US/Central")
+            except KeyError:
+                # no tzdata
+                pass
+            else:
+                with pytest.raises(pytz.AmbiguousTimeError, match=msg):
+                    ts.tz_localize(tz)
+
+        result = ts.tz_localize("US/Central", ambiguous=True)
+        assert result == expected0
+        assert result._creso == getattr(NpyDatetimeUnit, f"NPY_FR_{unit}").value
+
+        result = ts.tz_localize("US/Central", ambiguous=False)
+        assert result == expected1
+        assert result._creso == getattr(NpyDatetimeUnit, f"NPY_FR_{unit}").value
+
+    def test_tz_localize_ambiguous(self):
+        ts = Timestamp("2014-11-02 01:00")
+        ts_dst = ts.tz_localize("US/Eastern", ambiguous=True)
+        ts_no_dst = ts.tz_localize("US/Eastern", ambiguous=False)
+
+        assert ts_no_dst._value - ts_dst._value == 3600
+        msg = re.escape(
+            "'ambiguous' parameter must be one of: "
+            "True, False, 'NaT', 'raise' (default)"
+        )
+        with pytest.raises(ValueError, match=msg):
+            ts.tz_localize("US/Eastern", ambiguous="infer")
+
+        # GH#8025
+        msg = "Cannot localize tz-aware Timestamp, use tz_convert for conversions"
+        with pytest.raises(TypeError, match=msg):
+            Timestamp("2011-01-01", tz="US/Eastern").tz_localize("Asia/Tokyo")
+
+        msg = "Cannot convert tz-naive Timestamp, use tz_localize to localize"
+        with pytest.raises(TypeError, match=msg):
+            Timestamp("2011-01-01").tz_convert("Asia/Tokyo")
+
+    @pytest.mark.parametrize(
+        "stamp, tz",
+        [
+            ("2015-03-08 02:00", "US/Eastern"),
+            ("2015-03-08 02:30", "US/Pacific"),
+            ("2015-03-29 02:00", "Europe/Paris"),
+            ("2015-03-29 02:30", "Europe/Belgrade"),
+        ],
+    )
+    def test_tz_localize_nonexistent(self, stamp, tz):
+        # GH#13057
+        ts = Timestamp(stamp)
+        with pytest.raises(NonExistentTimeError, match=stamp):
+            ts.tz_localize(tz)
+        # GH 22644
+        with pytest.raises(NonExistentTimeError, match=stamp):
+            ts.tz_localize(tz, nonexistent="raise")
+        assert ts.tz_localize(tz, nonexistent="NaT") is NaT
+
+    @pytest.mark.parametrize(
+        "stamp, tz, forward_expected, backward_expected",
+        [
+            (
+                "2015-03-29 02:00:00",
+                "Europe/Warsaw",
+                "2015-03-29 03:00:00",
+                "2015-03-29 01:59:59",
+            ),  # utc+1 -> utc+2
+            (
+                "2023-03-12 02:00:00",
+                "America/Los_Angeles",
+                "2023-03-12 03:00:00",
+                "2023-03-12 01:59:59",
+            ),  # utc-8 -> utc-7
+            (
+                "2023-03-26 01:00:00",
+                "Europe/London",
+                "2023-03-26 02:00:00",
+                "2023-03-26 00:59:59",
+            ),  # utc+0 -> utc+1
+            (
+                "2023-03-26 00:00:00",
+                "Atlantic/Azores",
+                "2023-03-26 01:00:00",
+                "2023-03-25 23:59:59",
+            ),  # utc-1 -> utc+0
+        ],
+    )
+    def test_tz_localize_nonexistent_shift(
+        self, stamp, tz, forward_expected, backward_expected
+    ):
+        ts = Timestamp(stamp)
+        forward_ts = ts.tz_localize(tz, nonexistent="shift_forward")
+        assert forward_ts == Timestamp(forward_expected, tz=tz)
+        backward_ts = ts.tz_localize(tz, nonexistent="shift_backward")
+        assert backward_ts == Timestamp(backward_expected, tz=tz)
+
+    def test_tz_localize_ambiguous_raise(self):
+        # GH#13057
+        ts = Timestamp("2015-11-1 01:00")
+        msg = "Cannot infer dst time from 2015-11-01 01:00:00,"
+        with pytest.raises(AmbiguousTimeError, match=msg):
+            ts.tz_localize("US/Pacific", ambiguous="raise")
+
+    def test_tz_localize_nonexistent_invalid_arg(self, warsaw):
+        # GH 22644
+        tz = warsaw
+        ts = Timestamp("2015-03-29 02:00:00")
+        msg = (
+            "The nonexistent argument must be one of 'raise', 'NaT', "
+            "'shift_forward', 'shift_backward' or a timedelta object"
+        )
+        with pytest.raises(ValueError, match=msg):
+            ts.tz_localize(tz, nonexistent="foo")
+
+    @pytest.mark.parametrize(
+        "stamp",
+        [
+            "2014-02-01 09:00",
+            "2014-07-08 09:00",
+            "2014-11-01 17:00",
+            "2014-11-05 00:00",
+        ],
+    )
+    def test_tz_localize_roundtrip(self, stamp, tz_aware_fixture):
+        tz = tz_aware_fixture
+        ts = Timestamp(stamp)
+        localized = ts.tz_localize(tz)
+        assert localized == Timestamp(stamp, tz=tz)
+
+        msg = "Cannot localize tz-aware Timestamp"
+        with pytest.raises(TypeError, match=msg):
+            localized.tz_localize(tz)
+
+        reset = localized.tz_localize(None)
+        assert reset == ts
+        assert reset.tzinfo is None
+
+    def test_tz_localize_ambiguous_compat(self):
+        # validate that pytz and dateutil are compat for dst
+        # when the transition happens
+        naive = Timestamp("2013-10-27 01:00:00")
+
+        pytz_zone = "Europe/London"
+        dateutil_zone = "dateutil/Europe/London"
+        result_pytz = naive.tz_localize(pytz_zone, ambiguous=False)
+        result_dateutil = naive.tz_localize(dateutil_zone, ambiguous=False)
+        assert result_pytz._value == result_dateutil._value
+        assert result_pytz._value == 1382835600
+
+        # fixed ambiguous behavior
+        # see gh-14621, GH#45087
+        assert result_pytz.to_pydatetime().tzname() == "GMT"
+        assert result_dateutil.to_pydatetime().tzname() == "GMT"
+        assert str(result_pytz) == str(result_dateutil)
+
+        # 1 hour difference
+        result_pytz = naive.tz_localize(pytz_zone, ambiguous=True)
+        result_dateutil = naive.tz_localize(dateutil_zone, ambiguous=True)
+        assert result_pytz._value == result_dateutil._value
+        assert result_pytz._value == 1382832000
+
+        # see gh-14621
+        assert str(result_pytz) == str(result_dateutil)
+        assert (
+            result_pytz.to_pydatetime().tzname()
+            == result_dateutil.to_pydatetime().tzname()
+        )
+
+    @pytest.mark.parametrize(
+        "tz",
+        [
+            pytz.timezone("US/Eastern"),
+            gettz("US/Eastern"),
+            "US/Eastern",
+            "dateutil/US/Eastern",
+        ],
+    )
+    def test_timestamp_tz_localize(self, tz):
+        stamp = Timestamp("3/11/2012 04:00")
+
+        result = stamp.tz_localize(tz)
+        expected = Timestamp("3/11/2012 04:00", tz=tz)
+        assert result.hour == expected.hour
+        assert result == expected
+
+    @pytest.mark.parametrize(
+        "start_ts, tz, end_ts, shift",
+        [
+            ["2015-03-29 02:20:00", "Europe/Warsaw", "2015-03-29 03:00:00", "forward"],
+            [
+                "2015-03-29 02:20:00",
+                "Europe/Warsaw",
+                "2015-03-29 01:59:59.999999999",
+                "backward",
+            ],
+            [
+                "2015-03-29 02:20:00",
+                "Europe/Warsaw",
+                "2015-03-29 03:20:00",
+                timedelta(hours=1),
+            ],
+            [
+                "2015-03-29 02:20:00",
+                "Europe/Warsaw",
+                "2015-03-29 01:20:00",
+                timedelta(hours=-1),
+            ],
+            ["2018-03-11 02:33:00", "US/Pacific", "2018-03-11 03:00:00", "forward"],
+            [
+                "2018-03-11 02:33:00",
+                "US/Pacific",
+                "2018-03-11 01:59:59.999999999",
+                "backward",
+            ],
+            [
+                "2018-03-11 02:33:00",
+                "US/Pacific",
+                "2018-03-11 03:33:00",
+                timedelta(hours=1),
+            ],
+            [
+                "2018-03-11 02:33:00",
+                "US/Pacific",
+                "2018-03-11 01:33:00",
+                timedelta(hours=-1),
+            ],
+        ],
+    )
+    @pytest.mark.parametrize("tz_type", ["", "dateutil/"])
+    @pytest.mark.parametrize("unit", ["ns", "us", "ms", "s"])
+    def test_timestamp_tz_localize_nonexistent_shift(
+        self, start_ts, tz, end_ts, shift, tz_type, unit
+    ):
+        # GH 8917, 24466
+        tz = tz_type + tz
+        if isinstance(shift, str):
+            shift = "shift_" + shift
+        ts = Timestamp(start_ts).as_unit(unit)
+        result = ts.tz_localize(tz, nonexistent=shift)
+        expected = Timestamp(end_ts).tz_localize(tz)
+
+        if unit == "us":
+            assert result == expected.replace(nanosecond=0)
+        elif unit == "ms":
+            micros = expected.microsecond - expected.microsecond % 1000
+            assert result == expected.replace(microsecond=micros, nanosecond=0)
+        elif unit == "s":
+            assert result == expected.replace(microsecond=0, nanosecond=0)
+        else:
+            assert result == expected
+        assert result._creso == getattr(NpyDatetimeUnit, f"NPY_FR_{unit}").value
+
+    @pytest.mark.parametrize("offset", [-1, 1])
+    def test_timestamp_tz_localize_nonexistent_shift_invalid(self, offset, warsaw):
+        # GH 8917, 24466
+        tz = warsaw
+        ts = Timestamp("2015-03-29 02:20:00")
+        msg = "The provided timedelta will relocalize on a nonexistent time"
+        with pytest.raises(ValueError, match=msg):
+            ts.tz_localize(tz, nonexistent=timedelta(seconds=offset))
+
+    @pytest.mark.parametrize("unit", ["ns", "us", "ms", "s"])
+    def test_timestamp_tz_localize_nonexistent_NaT(self, warsaw, unit):
+        # GH 8917
+        tz = warsaw
+        ts = Timestamp("2015-03-29 02:20:00").as_unit(unit)
+        result = ts.tz_localize(tz, nonexistent="NaT")
+        assert result is NaT
+
+    @pytest.mark.parametrize("unit", ["ns", "us", "ms", "s"])
+    def test_timestamp_tz_localize_nonexistent_raise(self, warsaw, unit):
+        # GH 8917
+        tz = warsaw
+        ts = Timestamp("2015-03-29 02:20:00").as_unit(unit)
+        msg = "2015-03-29 02:20:00"
+        with pytest.raises(pytz.NonExistentTimeError, match=msg):
+            ts.tz_localize(tz, nonexistent="raise")
+        msg = (
+            "The nonexistent argument must be one of 'raise', 'NaT', "
+            "'shift_forward', 'shift_backward' or a timedelta object"
+        )
+        with pytest.raises(ValueError, match=msg):
+            ts.tz_localize(tz, nonexistent="foo")