test_date_range.py

"""
test date_range, bdate_range construction from the convenience range functions
"""

from datetime import (
    datetime,
    time,
    timedelta,
)
import re

import numpy as np
import pytest
import pytz
from pytz import timezone

from pandas._libs.tslibs import timezones
from pandas._libs.tslibs.offsets import (
    BDay,
    CDay,
    DateOffset,
    MonthEnd,
    prefix_mapping,
)
from pandas.errors import OutOfBoundsDatetime
import pandas.util._test_decorators as td

import pandas as pd
from pandas import (
    DataFrame,
    DatetimeIndex,
    Series,
    Timedelta,
    Timestamp,
    bdate_range,
    date_range,
    offsets,
)
import pandas._testing as tm
from pandas.core.arrays.datetimes import _generate_range as generate_range
from pandas.tests.indexes.datetimes.test_timezones import (
    FixedOffset,
    fixed_off_no_name,
)

from pandas.tseries.holiday import USFederalHolidayCalendar

START, END = datetime(2009, 1, 1), datetime(2010, 1, 1)


def _get_expected_range(
    begin_to_match,
    end_to_match,
    both_range,
    inclusive_endpoints,
):
    """Helper to get expected range from a both inclusive range"""
    left_match = begin_to_match == both_range[0]
    right_match = end_to_match == both_range[-1]

    if inclusive_endpoints == "left" and right_match:
        expected_range = both_range[:-1]
    elif inclusive_endpoints == "right" and left_match:
        expected_range = both_range[1:]
    elif inclusive_endpoints == "neither" and left_match and right_match:
        expected_range = both_range[1:-1]
    elif inclusive_endpoints == "neither" and right_match:
        expected_range = both_range[:-1]
    elif inclusive_endpoints == "neither" and left_match:
        expected_range = both_range[1:]
    elif inclusive_endpoints == "both":
        expected_range = both_range[:]
    else:
        expected_range = both_range[:]

    return expected_range


class TestTimestampEquivDateRange:
    # Older tests in TestTimeSeries constructed their `stamp` objects
    # using `date_range` instead of the `Timestamp` constructor.
    # TestTimestampEquivDateRange checks that these are equivalent in the
    # pertinent cases.

    def test_date_range_timestamp_equiv(self):
        rng = date_range("20090415", "20090519", tz="US/Eastern")
        stamp = rng[0]

        ts = Timestamp("20090415", tz="US/Eastern")
        assert ts == stamp

    def test_date_range_timestamp_equiv_dateutil(self):
        rng = date_range("20090415", "20090519", tz="dateutil/US/Eastern")
        stamp = rng[0]

        ts = Timestamp("20090415", tz="dateutil/US/Eastern")
        assert ts == stamp

    def test_date_range_timestamp_equiv_explicit_pytz(self):
        rng = date_range("20090415", "20090519", tz=pytz.timezone("US/Eastern"))
        stamp = rng[0]

        ts = Timestamp("20090415", tz=pytz.timezone("US/Eastern"))
        assert ts == stamp

    @td.skip_if_windows
    def test_date_range_timestamp_equiv_explicit_dateutil(self):
        from pandas._libs.tslibs.timezones import dateutil_gettz as gettz

        rng = date_range("20090415", "20090519", tz=gettz("US/Eastern"))
        stamp = rng[0]

        ts = Timestamp("20090415", tz=gettz("US/Eastern"))
        assert ts == stamp

    def test_date_range_timestamp_equiv_from_datetime_instance(self):
        datetime_instance = datetime(2014, 3, 4)
        # build a timestamp with a frequency, since then it supports
        # addition/subtraction of integers
        timestamp_instance = date_range(datetime_instance, periods=1, freq="D")[0]

        ts = Timestamp(datetime_instance)
        assert ts == timestamp_instance

    def test_date_range_timestamp_equiv_preserve_frequency(self):
        timestamp_instance = date_range("2014-03-05", periods=1, freq="D")[0]
        ts = Timestamp("2014-03-05")

        assert timestamp_instance == ts


class TestDateRanges:
    def test_date_range_name(self):
        idx = date_range(start="2000-01-01", periods=1, freq="YE", name="TEST")
        assert idx.name == "TEST"

    def test_date_range_invalid_periods(self):
        msg = "periods must be a number, got foo"
        with pytest.raises(TypeError, match=msg):
            date_range(start="1/1/2000", periods="foo", freq="D")

    def test_date_range_fractional_period(self):
        msg = "Non-integer 'periods' in pd.date_range, pd.timedelta_range"
        with tm.assert_produces_warning(FutureWarning, match=msg):
            rng = date_range("1/1/2000", periods=10.5)
        exp = date_range("1/1/2000", periods=10)
        tm.assert_index_equal(rng, exp)

    @pytest.mark.parametrize(
        "freq,freq_depr",
        [
            ("2ME", "2M"),
            ("2SME", "2SM"),
            ("2BQE", "2BQ"),
            ("2BYE", "2BY"),
        ],
    )
    def test_date_range_frequency_M_SM_BQ_BY_deprecated(self, freq, freq_depr):
        # GH#52064
        depr_msg = f"'{freq_depr[1:]}' is deprecated and will be removed "
        f"in a future version, please use '{freq[1:]}' instead."

        expected = date_range("1/1/2000", periods=4, freq=freq)
        with tm.assert_produces_warning(FutureWarning, match=depr_msg):
            result = date_range("1/1/2000", periods=4, freq=freq_depr)
        tm.assert_index_equal(result, expected)

    def test_date_range_tuple_freq_raises(self):
        # GH#34703
        edate = datetime(2000, 1, 1)
        with pytest.raises(TypeError, match="pass as a string instead"):
            date_range(end=edate, freq=("D", 5), periods=20)

    @pytest.mark.parametrize("freq", ["ns", "us", "ms", "min", "s", "h", "D"])
    def test_date_range_edges(self, freq):
        # GH#13672
        td = Timedelta(f"1{freq}")
        ts = Timestamp("1970-01-01")

        idx = date_range(
            start=ts + td,
            end=ts + 4 * td,
            freq=freq,
        )
        exp = DatetimeIndex(
            [ts + n * td for n in range(1, 5)],
            dtype="M8[ns]",
            freq=freq,
        )
        tm.assert_index_equal(idx, exp)

        # start after end
        idx = date_range(
            start=ts + 4 * td,
            end=ts + td,
            freq=freq,
        )
        exp = DatetimeIndex([], dtype="M8[ns]", freq=freq)
        tm.assert_index_equal(idx, exp)

        # start matches end
        idx = date_range(
            start=ts + td,
            end=ts + td,
            freq=freq,
        )
        exp = DatetimeIndex([ts + td], dtype="M8[ns]", freq=freq)
        tm.assert_index_equal(idx, exp)

    def test_date_range_near_implementation_bound(self):
        # GH#???
        freq = Timedelta(1)

        with pytest.raises(OutOfBoundsDatetime, match="Cannot generate range with"):
            date_range(end=Timestamp.min, periods=2, freq=freq)

    def test_date_range_nat(self):
        # GH#11587
        msg = "Neither `start` nor `end` can be NaT"
        with pytest.raises(ValueError, match=msg):
            date_range(start="2016-01-01", end=pd.NaT, freq="D")
        with pytest.raises(ValueError, match=msg):
            date_range(start=pd.NaT, end="2016-01-01", freq="D")

    def test_date_range_multiplication_overflow(self):
        # GH#24255
        # check that overflows in calculating `addend = periods * stride`
        #  are caught
        with tm.assert_produces_warning(None):
            # we should _not_ be seeing a overflow RuntimeWarning
            dti = date_range(start="1677-09-22", periods=213503, freq="D")

        assert dti[0] == Timestamp("1677-09-22")
        assert len(dti) == 213503

        msg = "Cannot generate range with"
        with pytest.raises(OutOfBoundsDatetime, match=msg):
            date_range("1969-05-04", periods=200000000, freq="30000D")

    def test_date_range_unsigned_overflow_handling(self):
        # GH#24255
        # case where `addend = periods * stride` overflows int64 bounds
        #  but not uint64 bounds
        dti = date_range(start="1677-09-22", end="2262-04-11", freq="D")

        dti2 = date_range(start=dti[0], periods=len(dti), freq="D")
        assert dti2.equals(dti)

        dti3 = date_range(end=dti[-1], periods=len(dti), freq="D")
        assert dti3.equals(dti)

    def test_date_range_int64_overflow_non_recoverable(self):
        # GH#24255
        # case with start later than 1970-01-01, overflow int64 but not uint64
        msg = "Cannot generate range with"
        with pytest.raises(OutOfBoundsDatetime, match=msg):
            date_range(start="1970-02-01", periods=106752 * 24, freq="h")

        # case with end before 1970-01-01, overflow int64 but not uint64
        with pytest.raises(OutOfBoundsDatetime, match=msg):
            date_range(end="1969-11-14", periods=106752 * 24, freq="h")

    @pytest.mark.slow
    @pytest.mark.parametrize(
        "s_ts, e_ts", [("2262-02-23", "1969-11-14"), ("1970-02-01", "1677-10-22")]
    )
    def test_date_range_int64_overflow_stride_endpoint_different_signs(
        self, s_ts, e_ts
    ):
        # cases where stride * periods overflow int64 and stride/endpoint
        #  have different signs
        start = Timestamp(s_ts)
        end = Timestamp(e_ts)

        expected = date_range(start=start, end=end, freq="-1h")
        assert expected[0] == start
        assert expected[-1] == end

        dti = date_range(end=end, periods=len(expected), freq="-1h")
        tm.assert_index_equal(dti, expected)

    def test_date_range_out_of_bounds(self):
        # GH#14187
        msg = "Cannot generate range"
        with pytest.raises(OutOfBoundsDatetime, match=msg):
            date_range("2016-01-01", periods=100000, freq="D")
        with pytest.raises(OutOfBoundsDatetime, match=msg):
            date_range(end="1763-10-12", periods=100000, freq="D")

    def test_date_range_gen_error(self):
        rng = date_range("1/1/2000 00:00", "1/1/2000 00:18", freq="5min")
        assert len(rng) == 4

    def test_date_range_normalize(self):
        snap = datetime.today()
        n = 50

        rng = date_range(snap, periods=n, normalize=False, freq="2D")

        offset = timedelta(2)
        expected = DatetimeIndex(
            [snap + i * offset for i in range(n)], dtype="M8[ns]", freq=offset
        )

        tm.assert_index_equal(rng, expected)

        rng = date_range("1/1/2000 08:15", periods=n, normalize=False, freq="B")
        the_time = time(8, 15)
        for val in rng:
            assert val.time() == the_time

    def test_date_range_ambiguous_arguments(self):
        # #2538
        start = datetime(2011, 1, 1, 5, 3, 40)
        end = datetime(2011, 1, 1, 8, 9, 40)

        msg = (
            "Of the four parameters: start, end, periods, and "
            "freq, exactly three must be specified"
        )
        with pytest.raises(ValueError, match=msg):
            date_range(start, end, periods=10, freq="s")

    def test_date_range_convenience_periods(self, unit):
        # GH 20808
        result = date_range("2018-04-24", "2018-04-27", periods=3, unit=unit)
        expected = DatetimeIndex(
            ["2018-04-24 00:00:00", "2018-04-25 12:00:00", "2018-04-27 00:00:00"],
            dtype=f"M8[{unit}]",
            freq=None,
        )

        tm.assert_index_equal(result, expected)

        # Test if spacing remains linear if tz changes to dst in range
        result = date_range(
            "2018-04-01 01:00:00",
            "2018-04-01 04:00:00",
            tz="Australia/Sydney",
            periods=3,
            unit=unit,
        )
        expected = DatetimeIndex(
            [
                Timestamp("2018-04-01 01:00:00+1100", tz="Australia/Sydney"),
                Timestamp("2018-04-01 02:00:00+1000", tz="Australia/Sydney"),
                Timestamp("2018-04-01 04:00:00+1000", tz="Australia/Sydney"),
            ]
        ).as_unit(unit)
        tm.assert_index_equal(result, expected)

    def test_date_range_index_comparison(self):
        rng = date_range("2011-01-01", periods=3, tz="US/Eastern")
        df = Series(rng).to_frame()
        arr = np.array([rng.to_list()]).T
        arr2 = np.array([rng]).T

        with pytest.raises(ValueError, match="Unable to coerce to Series"):
            rng == df

        with pytest.raises(ValueError, match="Unable to coerce to Series"):
            df == rng

        expected = DataFrame([True, True, True])

        results = df == arr2
        tm.assert_frame_equal(results, expected)

        expected = Series([True, True, True], name=0)

        results = df[0] == arr2[:, 0]
        tm.assert_series_equal(results, expected)

        expected = np.array(
            [[True, False, False], [False, True, False], [False, False, True]]
        )
        results = rng == arr
        tm.assert_numpy_array_equal(results, expected)

    @pytest.mark.parametrize(
        "start,end,result_tz",
        [
            ["20180101", "20180103", "US/Eastern"],
            [datetime(2018, 1, 1), datetime(2018, 1, 3), "US/Eastern"],
            [Timestamp("20180101"), Timestamp("20180103"), "US/Eastern"],
            [
                Timestamp("20180101", tz="US/Eastern"),
                Timestamp("20180103", tz="US/Eastern"),
                "US/Eastern",
            ],
            [
                Timestamp("20180101", tz="US/Eastern"),
                Timestamp("20180103", tz="US/Eastern"),
                None,
            ],
        ],
    )
    def test_date_range_linspacing_tz(self, start, end, result_tz):
        # GH 20983
        result = date_range(start, end, periods=3, tz=result_tz)
        expected = date_range("20180101", periods=3, freq="D", tz="US/Eastern")
        tm.assert_index_equal(result, expected)

    def test_date_range_timedelta(self):
        start = "2020-01-01"
        end = "2020-01-11"
        rng1 = date_range(start, end, freq="3D")
        rng2 = date_range(start, end, freq=timedelta(days=3))
        tm.assert_index_equal(rng1, rng2)

    def test_range_misspecified(self):
        # GH #1095
        msg = (
            "Of the four parameters: start, end, periods, and "
            "freq, exactly three must be specified"
        )

        with pytest.raises(ValueError, match=msg):
            date_range(start="1/1/2000")

        with pytest.raises(ValueError, match=msg):
            date_range(end="1/1/2000")

        with pytest.raises(ValueError, match=msg):
            date_range(periods=10)

        with pytest.raises(ValueError, match=msg):
            date_range(start="1/1/2000", freq="h")

        with pytest.raises(ValueError, match=msg):
            date_range(end="1/1/2000", freq="h")

        with pytest.raises(ValueError, match=msg):
            date_range(periods=10, freq="h")

        with pytest.raises(ValueError, match=msg):
            date_range()

    def test_compat_replace(self):
        # https://github.com/statsmodels/statsmodels/issues/3349
        # replace should take ints/longs for compat
        result = date_range(Timestamp("1960-04-01 00:00:00"), periods=76, freq="QS-JAN")
        assert len(result) == 76

    def test_catch_infinite_loop(self):
        offset = offsets.DateOffset(minute=5)
        # blow up, don't loop forever
        msg = "Offset <DateOffset: minute=5> did not increment date"
        with pytest.raises(ValueError, match=msg):
            date_range(datetime(2011, 11, 11), datetime(2011, 11, 12), freq=offset)

    def test_construct_over_dst(self, unit):
        # GH 20854
        pre_dst = Timestamp("2010-11-07 01:00:00").tz_localize(
            "US/Pacific", ambiguous=True
        )
        pst_dst = Timestamp("2010-11-07 01:00:00").tz_localize(
            "US/Pacific", ambiguous=False
        )
        expect_data = [
            Timestamp("2010-11-07 00:00:00", tz="US/Pacific"),
            pre_dst,
            pst_dst,
        ]
        expected = DatetimeIndex(expect_data, freq="h").as_unit(unit)
        result = date_range(
            start="2010-11-7", periods=3, freq="h", tz="US/Pacific", unit=unit
        )
        tm.assert_index_equal(result, expected)

    def test_construct_with_different_start_end_string_format(self, unit):
        # GH 12064
        result = date_range(
            "2013-01-01 00:00:00+09:00",
            "2013/01/01 02:00:00+09:00",
            freq="h",
            unit=unit,
        )
        expected = DatetimeIndex(
            [
                Timestamp("2013-01-01 00:00:00+09:00"),
                Timestamp("2013-01-01 01:00:00+09:00"),
                Timestamp("2013-01-01 02:00:00+09:00"),
            ],
            freq="h",
        ).as_unit(unit)
        tm.assert_index_equal(result, expected)

    def test_error_with_zero_monthends(self):
        msg = r"Offset <0 \* MonthEnds> did not increment date"
        with pytest.raises(ValueError, match=msg):
            date_range("1/1/2000", "1/1/2001", freq=MonthEnd(0))

    def test_range_bug(self, unit):
        # GH #770
        offset = DateOffset(months=3)
        result = date_range("2011-1-1", "2012-1-31", freq=offset, unit=unit)

        start = datetime(2011, 1, 1)
        expected = DatetimeIndex(
            [start + i * offset for i in range(5)], dtype=f"M8[{unit}]", freq=offset
        )
        tm.assert_index_equal(result, expected)

    def test_range_tz_pytz(self):
        # see gh-2906
        tz = timezone("US/Eastern")
        start = tz.localize(datetime(2011, 1, 1))
        end = tz.localize(datetime(2011, 1, 3))

        dr = date_range(start=start, periods=3)
        assert dr.tz.zone == tz.zone
        assert dr[0] == start
        assert dr[2] == end

        dr = date_range(end=end, periods=3)
        assert dr.tz.zone == tz.zone
        assert dr[0] == start
        assert dr[2] == end

        dr = date_range(start=start, end=end)
        assert dr.tz.zone == tz.zone
        assert dr[0] == start
        assert dr[2] == end

    @pytest.mark.parametrize(
        "start, end",
        [
            [datetime(2014, 3, 6), datetime(2014, 3, 12)],
            [datetime(2013, 11, 1), datetime(2013, 11, 6)],
        ],
    )
    def test_range_tz_dst_straddle_pytz(self, start, end):
        start = Timestamp(start, tz="US/Eastern")
        end = Timestamp(end, tz="US/Eastern")
        dr = date_range(start, end, freq="D")
        assert dr[0] == start
        assert dr[-1] == end
        assert np.all(dr.hour == 0)

        dr = date_range(start, end, freq="D", tz="US/Eastern")
        assert dr[0] == start
        assert dr[-1] == end
        assert np.all(dr.hour == 0)

        dr = date_range(
            start.replace(tzinfo=None),
            end.replace(tzinfo=None),
            freq="D",
            tz="US/Eastern",
        )
        assert dr[0] == start
        assert dr[-1] == end
        assert np.all(dr.hour == 0)

    def test_range_tz_dateutil(self):
        # see gh-2906

        # Use maybe_get_tz to fix filename in tz under dateutil.
        from pandas._libs.tslibs.timezones import maybe_get_tz

        tz = lambda x: maybe_get_tz("dateutil/" + x)

        start = datetime(2011, 1, 1, tzinfo=tz("US/Eastern"))
        end = datetime(2011, 1, 3, tzinfo=tz("US/Eastern"))

        dr = date_range(start=start, periods=3)
        assert dr.tz == tz("US/Eastern")
        assert dr[0] == start
        assert dr[2] == end

        dr = date_range(end=end, periods=3)
        assert dr.tz == tz("US/Eastern")
        assert dr[0] == start
        assert dr[2] == end

        dr = date_range(start=start, end=end)
        assert dr.tz == tz("US/Eastern")
        assert dr[0] == start
        assert dr[2] == end

    @pytest.mark.parametrize("freq", ["1D", "3D", "2ME", "7W", "3h", "YE"])
    @pytest.mark.parametrize("tz", [None, "US/Eastern"])
    def test_range_closed(self, freq, tz, inclusive_endpoints_fixture):
        # GH#12409, GH#12684

        begin = Timestamp("2011/1/1", tz=tz)
        end = Timestamp("2014/1/1", tz=tz)

        result_range = date_range(
            begin, end, inclusive=inclusive_endpoints_fixture, freq=freq
        )
        both_range = date_range(begin, end, inclusive="both", freq=freq)
        expected_range = _get_expected_range(
            begin, end, both_range, inclusive_endpoints_fixture
        )

        tm.assert_index_equal(expected_range, result_range)

    @pytest.mark.parametrize("freq", ["1D", "3D", "2ME", "7W", "3h", "YE"])
    def test_range_with_tz_closed_with_tz_aware_start_end(
        self, freq, inclusive_endpoints_fixture
    ):
        begin = Timestamp("2011/1/1")
        end = Timestamp("2014/1/1")
        begintz = Timestamp("2011/1/1", tz="US/Eastern")
        endtz = Timestamp("2014/1/1", tz="US/Eastern")

        result_range = date_range(
            begin,
            end,
            inclusive=inclusive_endpoints_fixture,
            freq=freq,
            tz="US/Eastern",
        )
        both_range = date_range(
            begin, end, inclusive="both", freq=freq, tz="US/Eastern"
        )
        expected_range = _get_expected_range(
            begintz,
            endtz,
            both_range,
            inclusive_endpoints_fixture,
        )

        tm.assert_index_equal(expected_range, result_range)

    def test_range_closed_boundary(self, inclusive_endpoints_fixture):
        # GH#11804
        right_boundary = date_range(
            "2015-09-12",
            "2015-12-01",
            freq="QS-MAR",
            inclusive=inclusive_endpoints_fixture,
        )
        left_boundary = date_range(
            "2015-09-01",
            "2015-09-12",
            freq="QS-MAR",
            inclusive=inclusive_endpoints_fixture,
        )
        both_boundary = date_range(
            "2015-09-01",
            "2015-12-01",
            freq="QS-MAR",
            inclusive=inclusive_endpoints_fixture,
        )
        neither_boundary = date_range(
            "2015-09-11",
            "2015-09-12",
            freq="QS-MAR",
            inclusive=inclusive_endpoints_fixture,
        )

        expected_right = both_boundary
        expected_left = both_boundary
        expected_both = both_boundary

        if inclusive_endpoints_fixture == "right":
            expected_left = both_boundary[1:]
        elif inclusive_endpoints_fixture == "left":
            expected_right = both_boundary[:-1]
        elif inclusive_endpoints_fixture == "both":
            expected_right = both_boundary[1:]
            expected_left = both_boundary[:-1]

        expected_neither = both_boundary[1:-1]

        tm.assert_index_equal(right_boundary, expected_right)
        tm.assert_index_equal(left_boundary, expected_left)
        tm.assert_index_equal(both_boundary, expected_both)
        tm.assert_index_equal(neither_boundary, expected_neither)

    def test_date_range_years_only(self, tz_naive_fixture):
        tz = tz_naive_fixture
        # GH#6961
        rng1 = date_range("2014", "2015", freq="ME", tz=tz)
        expected1 = date_range("2014-01-31", "2014-12-31", freq="ME", tz=tz)
        tm.assert_index_equal(rng1, expected1)

        rng2 = date_range("2014", "2015", freq="MS", tz=tz)
        expected2 = date_range("2014-01-01", "2015-01-01", freq="MS", tz=tz)
        tm.assert_index_equal(rng2, expected2)

        rng3 = date_range("2014", "2020", freq="YE", tz=tz)
        expected3 = date_range("2014-12-31", "2019-12-31", freq="YE", tz=tz)
        tm.assert_index_equal(rng3, expected3)

        rng4 = date_range("2014", "2020", freq="YS", tz=tz)
        expected4 = date_range("2014-01-01", "2020-01-01", freq="YS", tz=tz)
        tm.assert_index_equal(rng4, expected4)

    def test_freq_divides_end_in_nanos(self):
        # GH 10885
        result_1 = date_range("2005-01-12 10:00", "2005-01-12 16:00", freq="345min")
        result_2 = date_range("2005-01-13 10:00", "2005-01-13 16:00", freq="345min")
        expected_1 = DatetimeIndex(
            ["2005-01-12 10:00:00", "2005-01-12 15:45:00"],
            dtype="datetime64[ns]",
            freq="345min",
            tz=None,
        )
        expected_2 = DatetimeIndex(
            ["2005-01-13 10:00:00", "2005-01-13 15:45:00"],
            dtype="datetime64[ns]",
            freq="345min",
            tz=None,
        )
        tm.assert_index_equal(result_1, expected_1)
        tm.assert_index_equal(result_2, expected_2)

    def test_cached_range_bug(self):
        rng = date_range("2010-09-01 05:00:00", periods=50, freq=DateOffset(hours=6))
        assert len(rng) == 50
        assert rng[0] == datetime(2010, 9, 1, 5)

    def test_timezone_comparison_bug(self):
        # smoke test
        start = Timestamp("20130220 10:00", tz="US/Eastern")
        result = date_range(start, periods=2, tz="US/Eastern")
        assert len(result) == 2

    def test_timezone_comparison_assert(self):
        start = Timestamp("20130220 10:00", tz="US/Eastern")
        msg = "Inferred time zone not equal to passed time zone"
        with pytest.raises(AssertionError, match=msg):
            date_range(start, periods=2, tz="Europe/Berlin")

    def test_negative_non_tick_frequency_descending_dates(self, tz_aware_fixture):
        # GH 23270
        tz = tz_aware_fixture
        result = date_range(start="2011-06-01", end="2011-01-01", freq="-1MS", tz=tz)
        expected = date_range(end="2011-06-01", start="2011-01-01", freq="1MS", tz=tz)[
            ::-1
        ]
        tm.assert_index_equal(result, expected)

    def test_range_where_start_equal_end(self, inclusive_endpoints_fixture):
        # GH 43394
        start = "2021-09-02"
        end = "2021-09-02"
        result = date_range(
            start=start, end=end, freq="D", inclusive=inclusive_endpoints_fixture
        )

        both_range = date_range(start=start, end=end, freq="D", inclusive="both")
        if inclusive_endpoints_fixture == "neither":
            expected = both_range[1:-1]
        elif inclusive_endpoints_fixture in ("left", "right", "both"):
            expected = both_range[:]

        tm.assert_index_equal(result, expected)

    def test_freq_dateoffset_with_relateivedelta_nanos(self):
        # GH 46877
        freq = DateOffset(hours=10, days=57, nanoseconds=3)
        result = date_range(end="1970-01-01 00:00:00", periods=10, freq=freq, name="a")
        expected = DatetimeIndex(
            [
                "1968-08-02T05:59:59.999999973",
                "1968-09-28T15:59:59.999999976",
                "1968-11-25T01:59:59.999999979",
                "1969-01-21T11:59:59.999999982",
                "1969-03-19T21:59:59.999999985",
                "1969-05-16T07:59:59.999999988",
                "1969-07-12T17:59:59.999999991",
                "1969-09-08T03:59:59.999999994",
                "1969-11-04T13:59:59.999999997",
                "1970-01-01T00:00:00.000000000",
            ],
            name="a",
        )
        tm.assert_index_equal(result, expected)

    @pytest.mark.parametrize(
        "freq,freq_depr",
        [
            ("h", "H"),
            ("2min", "2T"),
            ("1s", "1S"),
            ("2ms", "2L"),
            ("1us", "1U"),
            ("2ns", "2N"),
        ],
    )
    def test_frequencies_H_T_S_L_U_N_deprecated(self, freq, freq_depr):
        # GH#52536
        freq_msg = re.split("[0-9]*", freq, maxsplit=1)[1]
        freq_depr_msg = re.split("[0-9]*", freq_depr, maxsplit=1)[1]
        msg = (
            f"'{freq_depr_msg}' is deprecated and will be removed in a future version, "
        )
        f"please use '{freq_msg}' instead"

        expected = date_range("1/1/2000", periods=2, freq=freq)
        with tm.assert_produces_warning(FutureWarning, match=msg):
            result = date_range("1/1/2000", periods=2, freq=freq_depr)
        tm.assert_index_equal(result, expected)

    @pytest.mark.parametrize(
        "freq,freq_depr",
        [
            ("200YE", "200A"),
            ("YE", "Y"),
            ("2YE-MAY", "2A-MAY"),
            ("YE-MAY", "Y-MAY"),
        ],
    )
    def test_frequencies_A_deprecated_Y_renamed(self, freq, freq_depr):
        # GH#9586, GH#54275
        freq_msg = re.split("[0-9]*", freq, maxsplit=1)[1]
        freq_depr_msg = re.split("[0-9]*", freq_depr, maxsplit=1)[1]
        msg = f"'{freq_depr_msg}' is deprecated and will be removed "
        f"in a future version, please use '{freq_msg}' instead."

        expected = date_range("1/1/2000", periods=2, freq=freq)
        with tm.assert_produces_warning(FutureWarning, match=msg):
            result = date_range("1/1/2000", periods=2, freq=freq_depr)
        tm.assert_index_equal(result, expected)

    def test_to_offset_with_lowercase_deprecated_freq(self) -> None:
        # https://github.com/pandas-dev/pandas/issues/56847
        msg = (
            "'m' is deprecated and will be removed in a future version, please use "
            "'ME' instead."
        )
        with tm.assert_produces_warning(FutureWarning, match=msg):
            result = date_range("2010-01-01", periods=2, freq="m")
        expected = DatetimeIndex(["2010-01-31", "2010-02-28"], freq="ME")
        tm.assert_index_equal(result, expected)

    def test_date_range_bday(self):
        sdate = datetime(1999, 12, 25)
        idx = date_range(start=sdate, freq="1B", periods=20)
        assert len(idx) == 20
        assert idx[0] == sdate + 0 * offsets.BDay()
        assert idx.freq == "B"


class TestDateRangeTZ:
    """Tests for date_range with timezones"""

    def test_hongkong_tz_convert(self):
        # GH#1673 smoke test
        dr = date_range("2012-01-01", "2012-01-10", freq="D", tz="Hongkong")

        # it works!
        dr.hour

    @pytest.mark.parametrize("tzstr", ["US/Eastern", "dateutil/US/Eastern"])
    def test_date_range_span_dst_transition(self, tzstr):
        # GH#1778

        # Standard -> Daylight Savings Time
        dr = date_range("03/06/2012 00:00", periods=200, freq="W-FRI", tz="US/Eastern")

        assert (dr.hour == 0).all()

        dr = date_range("2012-11-02", periods=10, tz=tzstr)
        result = dr.hour
        expected = pd.Index([0] * 10, dtype="int32")
        tm.assert_index_equal(result, expected)

    @pytest.mark.parametrize("tzstr", ["US/Eastern", "dateutil/US/Eastern"])
    def test_date_range_timezone_str_argument(self, tzstr):
        tz = timezones.maybe_get_tz(tzstr)
        result = date_range("1/1/2000", periods=10, tz=tzstr)
        expected = date_range("1/1/2000", periods=10, tz=tz)

        tm.assert_index_equal(result, expected)

    def test_date_range_with_fixed_tz(self):
        off = FixedOffset(420, "+07:00")
        start = datetime(2012, 3, 11, 5, 0, 0, tzinfo=off)
        end = datetime(2012, 6, 11, 5, 0, 0, tzinfo=off)
        rng = date_range(start=start, end=end)
        assert off == rng.tz

        rng2 = date_range(start, periods=len(rng), tz=off)
        tm.assert_index_equal(rng, rng2)

        rng3 = date_range("3/11/2012 05:00:00+07:00", "6/11/2012 05:00:00+07:00")
        assert (rng.values == rng3.values).all()

    def test_date_range_with_fixedoffset_noname(self):
        off = fixed_off_no_name
        start = datetime(2012, 3, 11, 5, 0, 0, tzinfo=off)
        end = datetime(2012, 6, 11, 5, 0, 0, tzinfo=off)
        rng = date_range(start=start, end=end)
        assert off == rng.tz

        idx = pd.Index([start, end])
        assert off == idx.tz

    @pytest.mark.parametrize("tzstr", ["US/Eastern", "dateutil/US/Eastern"])
    def test_date_range_with_tz(self, tzstr):
        stamp = Timestamp("3/11/2012 05:00", tz=tzstr)
        assert stamp.hour == 5

        rng = date_range("3/11/2012 04:00", periods=10, freq="h", tz=tzstr)

        assert stamp == rng[1]

    @pytest.mark.parametrize("tz", ["Europe/London", "dateutil/Europe/London"])
    def test_date_range_ambiguous_endpoint(self, tz):
        # construction with an ambiguous end-point
        # GH#11626

        with pytest.raises(pytz.AmbiguousTimeError, match="Cannot infer dst time"):
            date_range(
                "2013-10-26 23:00", "2013-10-27 01:00", tz="Europe/London", freq="h"
            )

        times = date_range(
            "2013-10-26 23:00", "2013-10-27 01:00", freq="h", tz=tz, ambiguous="infer"
        )
        assert times[0] == Timestamp("2013-10-26 23:00", tz=tz)
        assert times[-1] == Timestamp("2013-10-27 01:00:00+0000", tz=tz)

    @pytest.mark.parametrize(
        "tz, option, expected",
        [
            ["US/Pacific", "shift_forward", "2019-03-10 03:00"],
            ["dateutil/US/Pacific", "shift_forward", "2019-03-10 03:00"],
            ["US/Pacific", "shift_backward", "2019-03-10 01:00"],
            ["dateutil/US/Pacific", "shift_backward", "2019-03-10 01:00"],
            ["US/Pacific", timedelta(hours=1), "2019-03-10 03:00"],
        ],
    )
    def test_date_range_nonexistent_endpoint(self, tz, option, expected):
        # construction with an nonexistent end-point

        with pytest.raises(pytz.NonExistentTimeError, match="2019-03-10 02:00:00"):
            date_range(
                "2019-03-10 00:00", "2019-03-10 02:00", tz="US/Pacific", freq="h"
            )

        times = date_range(
            "2019-03-10 00:00", "2019-03-10 02:00", freq="h", tz=tz, nonexistent=option
        )
        assert times[-1] == Timestamp(expected, tz=tz)


class TestGenRangeGeneration:
    @pytest.mark.parametrize(
        "freqstr,offset",
        [
            ("B", BDay()),
            ("C", CDay()),
        ],
    )
    def test_generate(self, freqstr, offset):
        rng1 = list(generate_range(START, END, periods=None, offset=offset, unit="ns"))
        rng2 = list(generate_range(START, END, periods=None, offset=freqstr, unit="ns"))
        assert rng1 == rng2

    def test_1(self):
        rng = list(
            generate_range(
                start=datetime(2009, 3, 25),
                end=None,
                periods=2,
                offset=BDay(),
                unit="ns",
            )
        )
        expected = [datetime(2009, 3, 25), datetime(2009, 3, 26)]
        assert rng == expected

    def test_2(self):
        rng = list(
            generate_range(
                start=datetime(2008, 1, 1),
                end=datetime(2008, 1, 3),
                periods=None,
                offset=BDay(),
                unit="ns",
            )
        )
        expected = [datetime(2008, 1, 1), datetime(2008, 1, 2), datetime(2008, 1, 3)]
        assert rng == expected

    def test_3(self):
        rng = list(
            generate_range(
                start=datetime(2008, 1, 5),
                end=datetime(2008, 1, 6),
                periods=None,
                offset=BDay(),
                unit="ns",
            )
        )
        expected = []
        assert rng == expected

    def test_precision_finer_than_offset(self):
        # GH#9907
        result1 = date_range(
            start="2015-04-15 00:00:03", end="2016-04-22 00:00:00", freq="QE"
        )
        result2 = date_range(
            start="2015-04-15 00:00:03", end="2015-06-22 00:00:04", freq="W"
        )
        expected1_list = [
            "2015-06-30 00:00:03",
            "2015-09-30 00:00:03",
            "2015-12-31 00:00:03",
            "2016-03-31 00:00:03",
        ]
        expected2_list = [
            "2015-04-19 00:00:03",
            "2015-04-26 00:00:03",
            "2015-05-03 00:00:03",
            "2015-05-10 00:00:03",
            "2015-05-17 00:00:03",
            "2015-05-24 00:00:03",
            "2015-05-31 00:00:03",
            "2015-06-07 00:00:03",
            "2015-06-14 00:00:03",
            "2015-06-21 00:00:03",
        ]
        expected1 = DatetimeIndex(
            expected1_list, dtype="datetime64[ns]", freq="QE-DEC", tz=None
        )
        expected2 = DatetimeIndex(
            expected2_list, dtype="datetime64[ns]", freq="W-SUN", tz=None
        )
        tm.assert_index_equal(result1, expected1)
        tm.assert_index_equal(result2, expected2)

    dt1, dt2 = "2017-01-01", "2017-01-01"
    tz1, tz2 = "US/Eastern", "Europe/London"

    @pytest.mark.parametrize(
        "start,end",
        [
            (Timestamp(dt1, tz=tz1), Timestamp(dt2)),
            (Timestamp(dt1), Timestamp(dt2, tz=tz2)),
            (Timestamp(dt1, tz=tz1), Timestamp(dt2, tz=tz2)),
            (Timestamp(dt1, tz=tz2), Timestamp(dt2, tz=tz1)),
        ],
    )
    def test_mismatching_tz_raises_err(self, start, end):
        # issue 18488
        msg = "Start and end cannot both be tz-aware with different timezones"
        with pytest.raises(TypeError, match=msg):
            date_range(start, end)
        with pytest.raises(TypeError, match=msg):
            date_range(start, end, freq=BDay())


class TestBusinessDateRange:
    def test_constructor(self):
        bdate_range(START, END, freq=BDay())
        bdate_range(START, periods=20, freq=BDay())
        bdate_range(end=START, periods=20, freq=BDay())

        msg = "periods must be a number, got B"
        with pytest.raises(TypeError, match=msg):
            date_range("2011-1-1", "2012-1-1", "B")

        with pytest.raises(TypeError, match=msg):
            bdate_range("2011-1-1", "2012-1-1", "B")

        msg = "freq must be specified for bdate_range; use date_range instead"
        with pytest.raises(TypeError, match=msg):
            bdate_range(START, END, periods=10, freq=None)

    def test_misc(self):
        end = datetime(2009, 5, 13)
        dr = bdate_range(end=end, periods=20)
        firstDate = end - 19 * BDay()

        assert len(dr) == 20
        assert dr[0] == firstDate
        assert dr[-1] == end

    def test_date_parse_failure(self):
        badly_formed_date = "2007/100/1"

        msg = "Unknown datetime string format, unable to parse: 2007/100/1"
        with pytest.raises(ValueError, match=msg):
            Timestamp(badly_formed_date)

        with pytest.raises(ValueError, match=msg):
            bdate_range(start=badly_formed_date, periods=10)

        with pytest.raises(ValueError, match=msg):
            bdate_range(end=badly_formed_date, periods=10)

        with pytest.raises(ValueError, match=msg):
            bdate_range(badly_formed_date, badly_formed_date)

    def test_daterange_bug_456(self):
        # GH #456
        rng1 = bdate_range("12/5/2011", "12/5/2011")
        rng2 = bdate_range("12/2/2011", "12/5/2011")
        assert rng2._data.freq == BDay()

        result = rng1.union(rng2)
        assert isinstance(result, DatetimeIndex)

    def test_bdays_and_open_boundaries(self, inclusive_endpoints_fixture):
        # GH 6673
        start = "2018-07-21"  # Saturday
        end = "2018-07-29"  # Sunday
        result = date_range(start, end, freq="B", inclusive=inclusive_endpoints_fixture)

        bday_start = "2018-07-23"  # Monday
        bday_end = "2018-07-27"  # Friday
        expected = date_range(bday_start, bday_end, freq="D")
        tm.assert_index_equal(result, expected)
        # Note: we do _not_ expect the freqs to match here

    def test_bday_near_overflow(self):
        # GH#24252 avoid doing unnecessary addition that _would_ overflow
        start = Timestamp.max.floor("D").to_pydatetime()
        rng = date_range(start, end=None, periods=1, freq="B")
        expected = DatetimeIndex([start], freq="B").as_unit("ns")
        tm.assert_index_equal(rng, expected)

    def test_bday_overflow_error(self):
        # GH#24252 check that we get OutOfBoundsDatetime and not OverflowError
        msg = "Out of bounds nanosecond timestamp"
        start = Timestamp.max.floor("D").to_pydatetime()
        with pytest.raises(OutOfBoundsDatetime, match=msg):
            date_range(start, periods=2, freq="B")


class TestCustomDateRange:
    def test_constructor(self):
        bdate_range(START, END, freq=CDay())
        bdate_range(START, periods=20, freq=CDay())
        bdate_range(end=START, periods=20, freq=CDay())

        msg = "periods must be a number, got C"
        with pytest.raises(TypeError, match=msg):
            date_range("2011-1-1", "2012-1-1", "C")

        with pytest.raises(TypeError, match=msg):
            bdate_range("2011-1-1", "2012-1-1", "C")

    def test_misc(self):
        end = datetime(2009, 5, 13)
        dr = bdate_range(end=end, periods=20, freq="C")
        firstDate = end - 19 * CDay()

        assert len(dr) == 20
        assert dr[0] == firstDate
        assert dr[-1] == end

    def test_daterange_bug_456(self):
        # GH #456
        rng1 = bdate_range("12/5/2011", "12/5/2011", freq="C")
        rng2 = bdate_range("12/2/2011", "12/5/2011", freq="C")
        assert rng2._data.freq == CDay()

        result = rng1.union(rng2)
        assert isinstance(result, DatetimeIndex)

    def test_cdaterange(self, unit):
        result = bdate_range("2013-05-01", periods=3, freq="C", unit=unit)
        expected = DatetimeIndex(
            ["2013-05-01", "2013-05-02", "2013-05-03"], dtype=f"M8[{unit}]", freq="C"
        )
        tm.assert_index_equal(result, expected)
        assert result.freq == expected.freq

    def test_cdaterange_weekmask(self, unit):
        result = bdate_range(
            "2013-05-01", periods=3, freq="C", weekmask="Sun Mon Tue Wed Thu", unit=unit
        )
        expected = DatetimeIndex(
            ["2013-05-01", "2013-05-02", "2013-05-05"],
            dtype=f"M8[{unit}]",
            freq=result.freq,
        )
        tm.assert_index_equal(result, expected)
        assert result.freq == expected.freq

        # raise with non-custom freq
        msg = (
            "a custom frequency string is required when holidays or "
            "weekmask are passed, got frequency B"
        )
        with pytest.raises(ValueError, match=msg):
            bdate_range("2013-05-01", periods=3, weekmask="Sun Mon Tue Wed Thu")

    def test_cdaterange_holidays(self, unit):
        result = bdate_range(
            "2013-05-01", periods=3, freq="C", holidays=["2013-05-01"], unit=unit
        )
        expected = DatetimeIndex(
            ["2013-05-02", "2013-05-03", "2013-05-06"],
            dtype=f"M8[{unit}]",
            freq=result.freq,
        )
        tm.assert_index_equal(result, expected)
        assert result.freq == expected.freq

        # raise with non-custom freq
        msg = (
            "a custom frequency string is required when holidays or "
            "weekmask are passed, got frequency B"
        )
        with pytest.raises(ValueError, match=msg):
            bdate_range("2013-05-01", periods=3, holidays=["2013-05-01"])

    def test_cdaterange_weekmask_and_holidays(self, unit):
        result = bdate_range(
            "2013-05-01",
            periods=3,
            freq="C",
            weekmask="Sun Mon Tue Wed Thu",
            holidays=["2013-05-01"],
            unit=unit,
        )
        expected = DatetimeIndex(
            ["2013-05-02", "2013-05-05", "2013-05-06"],
            dtype=f"M8[{unit}]",
            freq=result.freq,
        )
        tm.assert_index_equal(result, expected)
        assert result.freq == expected.freq

    def test_cdaterange_holidays_weekmask_requires_freqstr(self):
        # raise with non-custom freq
        msg = (
            "a custom frequency string is required when holidays or "
            "weekmask are passed, got frequency B"
        )
        with pytest.raises(ValueError, match=msg):
            bdate_range(
                "2013-05-01",
                periods=3,
                weekmask="Sun Mon Tue Wed Thu",
                holidays=["2013-05-01"],
            )

    @pytest.mark.parametrize(
        "freq", [freq for freq in prefix_mapping if freq.startswith("C")]
    )
    def test_all_custom_freq(self, freq):
        # should not raise
        bdate_range(
            START, END, freq=freq, weekmask="Mon Wed Fri", holidays=["2009-03-14"]
        )

        bad_freq = freq + "FOO"
        msg = f"invalid custom frequency string: {bad_freq}"
        with pytest.raises(ValueError, match=msg):
            bdate_range(START, END, freq=bad_freq)

    @pytest.mark.parametrize(
        "start_end",
        [
            ("2018-01-01T00:00:01.000Z", "2018-01-03T00:00:01.000Z"),
            ("2018-01-01T00:00:00.010Z", "2018-01-03T00:00:00.010Z"),
            ("2001-01-01T00:00:00.010Z", "2001-01-03T00:00:00.010Z"),
        ],
    )
    def test_range_with_millisecond_resolution(self, start_end):
        # https://github.com/pandas-dev/pandas/issues/24110
        start, end = start_end
        result = date_range(start=start, end=end, periods=2, inclusive="left")
        expected = DatetimeIndex([start], dtype="M8[ns, UTC]")
        tm.assert_index_equal(result, expected)

    @pytest.mark.parametrize(
        "start,period,expected",
        [
            ("2022-07-23 00:00:00+02:00", 1, ["2022-07-25 00:00:00+02:00"]),
            ("2022-07-22 00:00:00+02:00", 1, ["2022-07-22 00:00:00+02:00"]),
            (
                "2022-07-22 00:00:00+02:00",
                2,
                ["2022-07-22 00:00:00+02:00", "2022-07-25 00:00:00+02:00"],
            ),
        ],
    )
    def test_range_with_timezone_and_custombusinessday(self, start, period, expected):
        # GH49441
        result = date_range(start=start, periods=period, freq="C")
        expected = DatetimeIndex(expected).as_unit("ns")
        tm.assert_index_equal(result, expected)


class TestDateRangeNonNano:
    def test_date_range_reso_validation(self):
        msg = "'unit' must be one of 's', 'ms', 'us', 'ns'"
        with pytest.raises(ValueError, match=msg):
            date_range("2016-01-01", "2016-03-04", periods=3, unit="h")

    def test_date_range_freq_higher_than_reso(self):
        # freq being higher-resolution than reso is a problem
        msg = "Use a lower freq or a higher unit instead"
        with pytest.raises(ValueError, match=msg):
            #    # TODO give a more useful or informative message?
            date_range("2016-01-01", "2016-01-02", freq="ns", unit="ms")

    def test_date_range_freq_matches_reso(self):
        # GH#49106 matching reso is OK
        dti = date_range("2016-01-01", "2016-01-01 00:00:01", freq="ms", unit="ms")
        rng = np.arange(1_451_606_400_000, 1_451_606_401_001, dtype=np.int64)
        expected = DatetimeIndex(rng.view("M8[ms]"), freq="ms")
        tm.assert_index_equal(dti, expected)

        dti = date_range("2016-01-01", "2016-01-01 00:00:01", freq="us", unit="us")
        rng = np.arange(1_451_606_400_000_000, 1_451_606_401_000_001, dtype=np.int64)
        expected = DatetimeIndex(rng.view("M8[us]"), freq="us")
        tm.assert_index_equal(dti, expected)

        dti = date_range("2016-01-01", "2016-01-01 00:00:00.001", freq="ns", unit="ns")
        rng = np.arange(
            1_451_606_400_000_000_000, 1_451_606_400_001_000_001, dtype=np.int64
        )
        expected = DatetimeIndex(rng.view("M8[ns]"), freq="ns")
        tm.assert_index_equal(dti, expected)

    def test_date_range_freq_lower_than_endpoints(self):
        start = Timestamp("2022-10-19 11:50:44.719781")
        end = Timestamp("2022-10-19 11:50:47.066458")

        # start and end cannot be cast to "s" unit without lossy rounding,
        #  so we do not allow this in date_range
        with pytest.raises(ValueError, match="Cannot losslessly convert units"):
            date_range(start, end, periods=3, unit="s")

        # but we can losslessly cast to "us"
        dti = date_range(start, end, periods=2, unit="us")
        rng = np.array(
            [start.as_unit("us")._value, end.as_unit("us")._value], dtype=np.int64
        )
        expected = DatetimeIndex(rng.view("M8[us]"))
        tm.assert_index_equal(dti, expected)

    def test_date_range_non_nano(self):
        start = np.datetime64("1066-10-14")  # Battle of Hastings
        end = np.datetime64("2305-07-13")  # Jean-Luc Picard's birthday

        dti = date_range(start, end, freq="D", unit="s")
        assert dti.freq == "D"
        assert dti.dtype == "M8[s]"

        exp = np.arange(
            start.astype("M8[s]").view("i8"),
            (end + 1).astype("M8[s]").view("i8"),
            24 * 3600,
        ).view("M8[s]")

        tm.assert_numpy_array_equal(dti.to_numpy(), exp)


class TestDateRangeNonTickFreq:
    # Tests revolving around less-common (non-Tick) `freq` keywords.

    def test_date_range_custom_business_month_begin(self, unit):
        hcal = USFederalHolidayCalendar()
        freq = offsets.CBMonthBegin(calendar=hcal)
        dti = date_range(start="20120101", end="20130101", freq=freq, unit=unit)
        assert all(freq.is_on_offset(x) for x in dti)

        expected = DatetimeIndex(
            [
                "2012-01-03",
                "2012-02-01",
                "2012-03-01",
                "2012-04-02",
                "2012-05-01",
                "2012-06-01",
                "2012-07-02",
                "2012-08-01",
                "2012-09-04",
                "2012-10-01",
                "2012-11-01",
                "2012-12-03",
            ],
            dtype=f"M8[{unit}]",
            freq=freq,
        )
        tm.assert_index_equal(dti, expected)

    def test_date_range_custom_business_month_end(self, unit):
        hcal = USFederalHolidayCalendar()
        freq = offsets.CBMonthEnd(calendar=hcal)
        dti = date_range(start="20120101", end="20130101", freq=freq, unit=unit)
        assert all(freq.is_on_offset(x) for x in dti)

        expected = DatetimeIndex(
            [
                "2012-01-31",
                "2012-02-29",
                "2012-03-30",
                "2012-04-30",
                "2012-05-31",
                "2012-06-29",
                "2012-07-31",
                "2012-08-31",
                "2012-09-28",
                "2012-10-31",
                "2012-11-30",
                "2012-12-31",
            ],
            dtype=f"M8[{unit}]",
            freq=freq,
        )
        tm.assert_index_equal(dti, expected)

    def test_date_range_with_custom_holidays(self, unit):
        # GH#30593
        freq = offsets.CustomBusinessHour(start="15:00", holidays=["2020-11-26"])
        result = date_range(start="2020-11-25 15:00", periods=4, freq=freq, unit=unit)
        expected = DatetimeIndex(
            [
                "2020-11-25 15:00:00",
                "2020-11-25 16:00:00",
                "2020-11-27 15:00:00",
                "2020-11-27 16:00:00",
            ],
            dtype=f"M8[{unit}]",
            freq=freq,
        )
        tm.assert_index_equal(result, expected)

    def test_date_range_businesshour(self, unit):
        idx = DatetimeIndex(
            [
                "2014-07-04 09:00",
                "2014-07-04 10:00",
                "2014-07-04 11:00",
                "2014-07-04 12:00",
                "2014-07-04 13:00",
                "2014-07-04 14:00",
                "2014-07-04 15:00",
                "2014-07-04 16:00",
            ],
            dtype=f"M8[{unit}]",
            freq="bh",
        )
        rng = date_range("2014-07-04 09:00", "2014-07-04 16:00", freq="bh", unit=unit)
        tm.assert_index_equal(idx, rng)

        idx = DatetimeIndex(
            ["2014-07-04 16:00", "2014-07-07 09:00"], dtype=f"M8[{unit}]", freq="bh"
        )
        rng = date_range("2014-07-04 16:00", "2014-07-07 09:00", freq="bh", unit=unit)
        tm.assert_index_equal(idx, rng)

        idx = DatetimeIndex(
            [
                "2014-07-04 09:00",
                "2014-07-04 10:00",
                "2014-07-04 11:00",
                "2014-07-04 12:00",
                "2014-07-04 13:00",
                "2014-07-04 14:00",
                "2014-07-04 15:00",
                "2014-07-04 16:00",
                "2014-07-07 09:00",
                "2014-07-07 10:00",
                "2014-07-07 11:00",
                "2014-07-07 12:00",
                "2014-07-07 13:00",
                "2014-07-07 14:00",
                "2014-07-07 15:00",
                "2014-07-07 16:00",
                "2014-07-08 09:00",
                "2014-07-08 10:00",
                "2014-07-08 11:00",
                "2014-07-08 12:00",
                "2014-07-08 13:00",
                "2014-07-08 14:00",
                "2014-07-08 15:00",
                "2014-07-08 16:00",
            ],
            dtype=f"M8[{unit}]",
            freq="bh",
        )
        rng = date_range("2014-07-04 09:00", "2014-07-08 16:00", freq="bh", unit=unit)
        tm.assert_index_equal(idx, rng)

    def test_date_range_business_hour2(self, unit):
        idx1 = date_range(
            start="2014-07-04 15:00", end="2014-07-08 10:00", freq="bh", unit=unit
        )
        idx2 = date_range(start="2014-07-04 15:00", periods=12, freq="bh", unit=unit)
        idx3 = date_range(end="2014-07-08 10:00", periods=12, freq="bh", unit=unit)
        expected = DatetimeIndex(
            [
                "2014-07-04 15:00",
                "2014-07-04 16:00",
                "2014-07-07 09:00",
                "2014-07-07 10:00",
                "2014-07-07 11:00",
                "2014-07-07 12:00",
                "2014-07-07 13:00",
                "2014-07-07 14:00",
                "2014-07-07 15:00",
                "2014-07-07 16:00",
                "2014-07-08 09:00",
                "2014-07-08 10:00",
            ],
            dtype=f"M8[{unit}]",
            freq="bh",
        )
        tm.assert_index_equal(idx1, expected)
        tm.assert_index_equal(idx2, expected)
        tm.assert_index_equal(idx3, expected)

        idx4 = date_range(
            start="2014-07-04 15:45", end="2014-07-08 10:45", freq="bh", unit=unit
        )
        idx5 = date_range(start="2014-07-04 15:45", periods=12, freq="bh", unit=unit)
        idx6 = date_range(end="2014-07-08 10:45", periods=12, freq="bh", unit=unit)

        expected2 = expected + Timedelta(minutes=45).as_unit(unit)
        expected2.freq = "bh"
        tm.assert_index_equal(idx4, expected2)
        tm.assert_index_equal(idx5, expected2)
        tm.assert_index_equal(idx6, expected2)

    def test_date_range_business_hour_short(self, unit):
        # GH#49835
        idx4 = date_range(start="2014-07-01 10:00", freq="bh", periods=1, unit=unit)
        expected4 = DatetimeIndex(["2014-07-01 10:00"], dtype=f"M8[{unit}]", freq="bh")
        tm.assert_index_equal(idx4, expected4)

    def test_date_range_year_start(self, unit):
        # see GH#9313
        rng = date_range("1/1/2013", "7/1/2017", freq="YS", unit=unit)
        exp = DatetimeIndex(
            ["2013-01-01", "2014-01-01", "2015-01-01", "2016-01-01", "2017-01-01"],
            dtype=f"M8[{unit}]",
            freq="YS",
        )
        tm.assert_index_equal(rng, exp)

    def test_date_range_year_end(self, unit):
        # see GH#9313
        rng = date_range("1/1/2013", "7/1/2017", freq="YE", unit=unit)
        exp = DatetimeIndex(
            ["2013-12-31", "2014-12-31", "2015-12-31", "2016-12-31"],
            dtype=f"M8[{unit}]",
            freq="YE",
        )
        tm.assert_index_equal(rng, exp)

    def test_date_range_negative_freq_year_end(self, unit):
        # GH#11018
        rng = date_range("2011-12-31", freq="-2YE", periods=3, unit=unit)
        exp = DatetimeIndex(
            ["2011-12-31", "2009-12-31", "2007-12-31"], dtype=f"M8[{unit}]", freq="-2YE"
        )
        tm.assert_index_equal(rng, exp)
        assert rng.freq == "-2YE"

    def test_date_range_business_year_end_year(self, unit):
        # see GH#9313
        rng = date_range("1/1/2013", "7/1/2017", freq="BYE", unit=unit)
        exp = DatetimeIndex(
            ["2013-12-31", "2014-12-31", "2015-12-31", "2016-12-30"],
            dtype=f"M8[{unit}]",
            freq="BYE",
        )
        tm.assert_index_equal(rng, exp)

    def test_date_range_bms(self, unit):
        # GH#1645
        result = date_range("1/1/2000", periods=10, freq="BMS", unit=unit)

        expected = DatetimeIndex(
            [
                "2000-01-03",
                "2000-02-01",
                "2000-03-01",
                "2000-04-03",
                "2000-05-01",
                "2000-06-01",
                "2000-07-03",
                "2000-08-01",
                "2000-09-01",
                "2000-10-02",
            ],
            dtype=f"M8[{unit}]",
            freq="BMS",
        )
        tm.assert_index_equal(result, expected)

    def test_date_range_semi_month_begin(self, unit):
        dates = [
            datetime(2007, 12, 15),
            datetime(2008, 1, 1),
            datetime(2008, 1, 15),
            datetime(2008, 2, 1),
            datetime(2008, 2, 15),
            datetime(2008, 3, 1),
            datetime(2008, 3, 15),
            datetime(2008, 4, 1),
            datetime(2008, 4, 15),
            datetime(2008, 5, 1),
            datetime(2008, 5, 15),
            datetime(2008, 6, 1),
            datetime(2008, 6, 15),
            datetime(2008, 7, 1),
            datetime(2008, 7, 15),
            datetime(2008, 8, 1),
            datetime(2008, 8, 15),
            datetime(2008, 9, 1),
            datetime(2008, 9, 15),
            datetime(2008, 10, 1),
            datetime(2008, 10, 15),
            datetime(2008, 11, 1),
            datetime(2008, 11, 15),
            datetime(2008, 12, 1),
            datetime(2008, 12, 15),
        ]
        # ensure generating a range with DatetimeIndex gives same result
        result = date_range(start=dates[0], end=dates[-1], freq="SMS", unit=unit)
        exp = DatetimeIndex(dates, dtype=f"M8[{unit}]", freq="SMS")
        tm.assert_index_equal(result, exp)

    def test_date_range_semi_month_end(self, unit):
        dates = [
            datetime(2007, 12, 31),
            datetime(2008, 1, 15),
            datetime(2008, 1, 31),
            datetime(2008, 2, 15),
            datetime(2008, 2, 29),
            datetime(2008, 3, 15),
            datetime(2008, 3, 31),
            datetime(2008, 4, 15),
            datetime(2008, 4, 30),
            datetime(2008, 5, 15),
            datetime(2008, 5, 31),
            datetime(2008, 6, 15),
            datetime(2008, 6, 30),
            datetime(2008, 7, 15),
            datetime(2008, 7, 31),
            datetime(2008, 8, 15),
            datetime(2008, 8, 31),
            datetime(2008, 9, 15),
            datetime(2008, 9, 30),
            datetime(2008, 10, 15),
            datetime(2008, 10, 31),
            datetime(2008, 11, 15),
            datetime(2008, 11, 30),
            datetime(2008, 12, 15),
            datetime(2008, 12, 31),
        ]
        # ensure generating a range with DatetimeIndex gives same result
        result = date_range(start=dates[0], end=dates[-1], freq="SME", unit=unit)
        exp = DatetimeIndex(dates, dtype=f"M8[{unit}]", freq="SME")
        tm.assert_index_equal(result, exp)

    def test_date_range_week_of_month(self, unit):
        # GH#20517
        # Note the start here is not on_offset for this freq
        result = date_range(start="20110101", periods=1, freq="WOM-1MON", unit=unit)
        expected = DatetimeIndex(["2011-01-03"], dtype=f"M8[{unit}]", freq="WOM-1MON")
        tm.assert_index_equal(result, expected)

        result2 = date_range(start="20110101", periods=2, freq="WOM-1MON", unit=unit)
        expected2 = DatetimeIndex(
            ["2011-01-03", "2011-02-07"], dtype=f"M8[{unit}]", freq="WOM-1MON"
        )
        tm.assert_index_equal(result2, expected2)

    def test_date_range_week_of_month2(self, unit):
        # GH#5115, GH#5348
        result = date_range("2013-1-1", periods=4, freq="WOM-1SAT", unit=unit)
        expected = DatetimeIndex(
            ["2013-01-05", "2013-02-02", "2013-03-02", "2013-04-06"],
            dtype=f"M8[{unit}]",
            freq="WOM-1SAT",
        )
        tm.assert_index_equal(result, expected)

    def test_date_range_negative_freq_month_end(self, unit):
        # GH#11018
        rng = date_range("2011-01-31", freq="-2ME", periods=3, unit=unit)
        exp = DatetimeIndex(
            ["2011-01-31", "2010-11-30", "2010-09-30"], dtype=f"M8[{unit}]", freq="-2ME"
        )
        tm.assert_index_equal(rng, exp)
        assert rng.freq == "-2ME"

    def test_date_range_fy5253(self, unit):
        freq = offsets.FY5253(startingMonth=1, weekday=3, variation="nearest")
        dti = date_range(
            start="2013-01-01",
            periods=2,
            freq=freq,
            unit=unit,
        )
        expected = DatetimeIndex(
            ["2013-01-31", "2014-01-30"], dtype=f"M8[{unit}]", freq=freq
        )

        tm.assert_index_equal(dti, expected)

    @pytest.mark.parametrize(
        "freqstr,offset",
        [
            ("QS", offsets.QuarterBegin(startingMonth=1)),
            ("BQE", offsets.BQuarterEnd(startingMonth=12)),
            ("W-SUN", offsets.Week(weekday=6)),
        ],
    )
    def test_date_range_freqstr_matches_offset(self, freqstr, offset):
        sdate = datetime(1999, 12, 25)
        edate = datetime(2000, 1, 1)

        idx1 = date_range(start=sdate, end=edate, freq=freqstr)
        idx2 = date_range(start=sdate, end=edate, freq=offset)
        assert len(idx1) == len(idx2)
        assert idx1.freq == idx2.freq

    def test_date_range_partial_day_year_end(self, unit):
        # GH#56134
        rng = date_range(
            start="2021-12-31 00:00:01",
            end="2023-10-31 00:00:00",
            freq="YE",
            unit=unit,
        )
        exp = DatetimeIndex(
            ["2021-12-31 00:00:01", "2022-12-31 00:00:01"],
            dtype=f"M8[{unit}]",
            freq="YE",
        )
        tm.assert_index_equal(rng, exp)