text: """
  Tests for DatetimeIndex timezone-related methods
  """
  from datetime import date, datetime, time, timedelta, tzinfo
  
  import dateutil
  from dateutil.tz import gettz, tzlocal
  import numpy as np
  import pytest
  import pytz
  
  from pandas._libs.tslibs import conversion, timezones
  import pandas.util._test_decorators as td
  
  import pandas as pd
  from pandas import (
      DatetimeIndex,
      Index,
      Timestamp,
      bdate_range,
      date_range,
      isna,
      to_datetime,
  )
  import pandas._testing as tm
  
  
  class FixedOffset(tzinfo):
      """Fixed offset in minutes east from UTC."""
  
      def __init__(self, offset, name):
          self.__offset = timedelta(minutes=offset)
          self.__name = name
  
      def utcoffset(self, dt):
          return self.__offset
  
      def tzname(self, dt):
          return self.__name
  
      def dst(self, dt):
          return timedelta(0)
  
  
  fixed_off = FixedOffset(-420, "-07:00")
  fixed_off_no_name = FixedOffset(-330, None)
  
  
  class TestDatetimeIndexTimezones:
      # -------------------------------------------------------------
      # DatetimeIndex.tz_convert
      def test_tz_convert_nat(self):
          # GH#5546
          dates = [pd.NaT]
          idx = DatetimeIndex(dates)
          idx = idx.tz_localize("US/Pacific")
          tm.assert_index_equal(idx, DatetimeIndex(dates, tz="US/Pacific"))
          idx = idx.tz_convert("US/Eastern")
          tm.assert_index_equal(idx, DatetimeIndex(dates, tz="US/Eastern"))
          idx = idx.tz_convert("UTC")
          tm.assert_index_equal(idx, DatetimeIndex(dates, tz="UTC"))
  
          dates = ["2010-12-01 00:00", "2010-12-02 00:00", pd.NaT]
          idx = DatetimeIndex(dates)
          idx = idx.tz_localize("US/Pacific")
          tm.assert_index_equal(idx, DatetimeIndex(dates, tz="US/Pacific"))
          idx = idx.tz_convert("US/Eastern")
          expected = ["2010-12-01 03:00", "2010-12-02 03:00", pd.NaT]
          tm.assert_index_equal(idx, DatetimeIndex(expected, tz="US/Eastern"))
  
          idx = idx + pd.offsets.Hour(5)
          expected = ["2010-12-01 08:00", "2010-12-02 08:00", pd.NaT]
          tm.assert_index_equal(idx, DatetimeIndex(expected, tz="US/Eastern"))
          idx = idx.tz_convert("US/Pacific")
          expected = ["2010-12-01 05:00", "2010-12-02 05:00", pd.NaT]
          tm.assert_index_equal(idx, DatetimeIndex(expected, tz="US/Pacific"))
  
          idx = idx + np.timedelta64(3, "h")
          expected = ["2010-12-01 08:00", "2010-12-02 08:00", pd.NaT]
          tm.assert_index_equal(idx, DatetimeIndex(expected, tz="US/Pacific"))
  
          idx = idx.tz_convert("US/Eastern")
          expected = ["2010-12-01 11:00", "2010-12-02 11:00", pd.NaT]
          tm.assert_index_equal(idx, DatetimeIndex(expected, tz="US/Eastern"))
  
      @pytest.mark.parametrize("prefix", ["", "dateutil/"])
      def test_dti_tz_convert_compat_timestamp(self, prefix):
          strdates = ["1/1/2012", "3/1/2012", "4/1/2012"]
          idx = DatetimeIndex(strdates, tz=prefix + "US/Eastern")
  
          conv = idx[0].tz_convert(prefix + "US/Pacific")
          expected = idx.tz_convert(prefix + "US/Pacific")[0]
  
          assert conv == expected
  
      def test_dti_tz_convert_hour_overflow_dst(self):
          # Regression test for:
          # https://github.com/pandas-dev/pandas/issues/13306
  
          # sorted case US/Eastern -> UTC
          ts = ["2008-05-12 09:50:00", "2008-12-12 09:50:35", "2009-05-12 09:50:32"]
          tt = DatetimeIndex(ts).tz_localize("US/Eastern")
          ut = tt.tz_convert("UTC")
          expected = Index([13, 14, 13])
          tm.assert_index_equal(ut.hour, expected)
  
          # sorted case UTC -> US/Eastern
          ts = ["2008-05-12 13:50:00", "2008-12-12 14:50:35", "2009-05-12 13:50:32"]
          tt = DatetimeIndex(ts).tz_localize("UTC")
          ut = tt.tz_convert("US/Eastern")
          expected = Index([9, 9, 9])
          tm.assert_index_equal(ut.hour, expected)
  
          # unsorted case US/Eastern -> UTC
          ts = ["2008-05-12 09:50:00", "2008-12-12 09:50:35", "2008-05-12 09:50:32"]
          tt = DatetimeIndex(ts).tz_localize("US/Eastern")
          ut = tt.tz_convert("UTC")
          expected = Index([13, 14, 13])
          tm.assert_index_equal(ut.hour, expected)
  
          # unsorted case UTC -> US/Eastern
          ts = ["2008-05-12 13:50:00", "2008-12-12 14:50:35", "2008-05-12 13:50:32"]
          tt = DatetimeIndex(ts).tz_localize("UTC")
          ut = tt.tz_convert("US/Eastern")
          expected = Index([9, 9, 9])
          tm.assert_index_equal(ut.hour, expected)
  
      @pytest.mark.parametrize("tz", ["US/Eastern", "dateutil/US/Eastern"])
      def test_dti_tz_convert_hour_overflow_dst_timestamps(self, tz):
          # Regression test for GH#13306
  
          # sorted case US/Eastern -> UTC
          ts = [
              Timestamp("2008-05-12 09:50:00", tz=tz),
              Timestamp("2008-12-12 09:50:35", tz=tz),
              Timestamp("2009-05-12 09:50:32", tz=tz),
          ]
          tt = DatetimeIndex(ts)
          ut = tt.tz_convert("UTC")
          expected = Index([13, 14, 13])
          tm.assert_index_equal(ut.hour, expected)
  
          # sorted case UTC -> US/Eastern
          ts = [
              Timestamp("2008-05-12 13:50:00", tz="UTC"),
              Timestamp("2008-12-12 14:50:35", tz="UTC"),
              Timestamp("2009-05-12 13:50:32", tz="UTC"),
          ]
          tt = DatetimeIndex(ts)
          ut = tt.tz_convert("US/Eastern")
          expected = Index([9, 9, 9])
          tm.assert_index_equal(ut.hour, expected)
  
          # unsorted case US/Eastern -> UTC
          ts = [
              Timestamp("2008-05-12 09:50:00", tz=tz),
              Timestamp("2008-12-12 09:50:35", tz=tz),
              Timestamp("2008-05-12 09:50:32", tz=tz),
          ]
          tt = DatetimeIndex(ts)
          ut = tt.tz_convert("UTC")
          expected = Index([13, 14, 13])
          tm.assert_index_equal(ut.hour, expected)
  
          # unsorted case UTC -> US/Eastern
          ts = [
              Timestamp("2008-05-12 13:50:00", tz="UTC"),
              Timestamp("2008-12-12 14:50:35", tz="UTC"),
              Timestamp("2008-05-12 13:50:32", tz="UTC"),
          ]
          tt = DatetimeIndex(ts)
          ut = tt.tz_convert("US/Eastern")
          expected = Index([9, 9, 9])
          tm.assert_index_equal(ut.hour, expected)
  
      @pytest.mark.parametrize("freq, n", [("H", 1), ("T", 60), ("S", 3600)])
      def test_dti_tz_convert_trans_pos_plus_1__bug(self, freq, n):
          # Regression test for tslib.tz_convert(vals, tz1, tz2).
          # See https://github.com/pandas-dev/pandas/issues/4496 for details.
          idx = date_range(datetime(2011, 3, 26, 23), datetime(2011, 3, 27, 1), freq=freq)
          idx = idx.tz_localize("UTC")
          idx = idx.tz_convert("Europe/Moscow")
  
          expected = np.repeat(np.array([3, 4, 5]), np.array([n, n, 1]))
          tm.assert_index_equal(idx.hour, Index(expected))
  
      def test_dti_tz_convert_dst(self):
          for freq, n in [("H", 1), ("T", 60), ("S", 3600)]:
              # Start DST
              idx = date_range(
                  "2014-03-08 23:00", "2014-03-09 09:00", freq=freq, tz="UTC"
              )
              idx = idx.tz_convert("US/Eastern")
              expected = np.repeat(
                  np.array([18, 19, 20, 21, 22, 23, 0, 1, 3, 4, 5]),
                  np.array([n, n, n, n, n, n, n, n, n, n, 1]),
              )
              tm.assert_index_equal(idx.hour, Index(expected))
  
              idx = date_range(
                  "2014-03-08 18:00", "2014-03-09 05:00", freq=freq, tz="US/Eastern"
              )
              idx = idx.tz_convert("UTC")
              expected = np.repeat(
                  np.array([23, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),
                  np.array([n, n, n, n, n, n, n, n, n, n, 1]),
              )
              tm.assert_index_equal(idx.hour, Index(expected))
  
              # End DST
              idx = date_range(
                  "2014-11-01 23:00", "2014-11-02 09:00", freq=freq, tz="UTC"
              )
              idx = idx.tz_convert("US/Eastern")
              expected = np.repeat(
                  np.array([19, 20, 21, 22, 23, 0, 1, 1, 2, 3, 4]),
                  np.array([n, n, n, n, n, n, n, n, n, n, 1]),
              )
              tm.assert_index_equal(idx.hour, Index(expected))
  
              idx = date_range(
                  "2014-11-01 18:00", "2014-11-02 05:00", freq=freq, tz="US/Eastern"
              )
              idx = idx.tz_convert("UTC")
              expected = np.repeat(
                  np.array([22, 23, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]),
                  np.array([n, n, n, n, n, n, n, n, n, n, n, n, 1]),
              )
              tm.assert_index_equal(idx.hour, Index(expected))
  
          # daily
          # Start DST
          idx = date_range("2014-03-08 00:00", "2014-03-09 00:00", freq="D", tz="UTC")
          idx = idx.tz_convert("US/Eastern")
          tm.assert_index_equal(idx.hour, Index([19, 19]))
  
          idx = date_range(
              "2014-03-08 00:00", "2014-03-09 00:00", freq="D", tz="US/Eastern"
          )
          idx = idx.tz_convert("UTC")
          tm.assert_index_equal(idx.hour, Index([5, 5]))
  
          # End DST
          idx = date_range("2014-11-01 00:00", "2014-11-02 00:00", freq="D", tz="UTC")
          idx = idx.tz_convert("US/Eastern")
          tm.assert_index_equal(idx.hour, Index([20, 20]))
  
          idx = date_range(
              "2014-11-01 00:00", "2014-11-02 000:00", freq="D", tz="US/Eastern"
          )
          idx = idx.tz_convert("UTC")
          tm.assert_index_equal(idx.hour, Index([4, 4]))
  
      def test_tz_convert_roundtrip(self, tz_aware_fixture):
          tz = tz_aware_fixture
          idx1 = date_range(start="2014-01-01", end="2014-12-31", freq="M", tz="UTC")
          exp1 = date_range(start="2014-01-01", end="2014-12-31", freq="M")
  
          idx2 = date_range(start="2014-01-01", end="2014-12-31", freq="D", tz="UTC")
          exp2 = date_range(start="2014-01-01", end="2014-12-31", freq="D")
  
          idx3 = date_range(start="2014-01-01", end="2014-03-01", freq="H", tz="UTC")
          exp3 = date_range(start="2014-01-01", end="2014-03-01", freq="H")
  
          idx4 = date_range(start="2014-08-01", end="2014-10-31", freq="T", tz="UTC")
          exp4 = date_range(start="2014-08-01", end="2014-10-31", freq="T")
  
          for idx, expected in [(idx1, exp1), (idx2, exp2), (idx3, exp3), (idx4, exp4)]:
              converted = idx.tz_convert(tz)
              reset = converted.tz_convert(None)
              tm.assert_index_equal(reset, expected)
              assert reset.tzinfo is None
              expected = converted.tz_convert("UTC").tz_localize(None)
              tm.assert_index_equal(reset, expected)
  
      def test_dti_tz_convert_tzlocal(self):
          # GH#13583
          # tz_convert doesn't affect to internal
          dti = date_range(start="2001-01-01", end="2001-03-01", tz="UTC")
          dti2 = dti.tz_convert(dateutil.tz.tzlocal())
          tm.assert_numpy_array_equal(dti2.asi8, dti.asi8)
  
          dti = date_range(start="2001-01-01", end="2001-03-01", tz=dateutil.tz.tzlocal())
          dti2 = dti.tz_convert(None)
          tm.assert_numpy_array_equal(dti2.asi8, dti.asi8)
  
      @pytest.mark.parametrize(
          "tz",
          [
              "US/Eastern",
              "dateutil/US/Eastern",
              pytz.timezone("US/Eastern"),
              gettz("US/Eastern"),
          ],
      )
      def test_dti_tz_convert_utc_to_local_no_modify(self, tz):
          rng = date_range("3/11/2012", "3/12/2012", freq="H", tz="utc")
          rng_eastern = rng.tz_convert(tz)
  
          # Values are unmodified
          tm.assert_numpy_array_equal(rng.asi8, rng_eastern.asi8)
  
          assert timezones.tz_compare(rng_eastern.tz, timezones.maybe_get_tz(tz))
  
      @pytest.mark.parametrize("tzstr", ["US/Eastern", "dateutil/US/Eastern"])
      def test_tz_convert_unsorted(self, tzstr):
          dr = date_range("2012-03-09", freq="H", periods=100, tz="utc")
          dr = dr.tz_convert(tzstr)
  
          result = dr[::-1].hour
          exp = dr.hour[::-1]
          tm.assert_almost_equal(result, exp)
  
      # -------------------------------------------------------------
      # DatetimeIndex.tz_localize
  
      def test_dti_tz_localize_nonexistent_raise_coerce(self):
          # GH#13057
          times = ["2015-03-08 01:00", "2015-03-08 02:00", "2015-03-08 03:00"]
          index = DatetimeIndex(times)
          tz = "US/Eastern"
          with pytest.raises(pytz.NonExistentTimeError, match="|".join(times)):
              index.tz_localize(tz=tz)
  
          with pytest.raises(pytz.NonExistentTimeError, match="|".join(times)):
              index.tz_localize(tz=tz, nonexistent="raise")
  
          result = index.tz_localize(tz=tz, nonexistent="NaT")
          test_times = ["2015-03-08 01:00-05:00", "NaT", "2015-03-08 03:00-04:00"]
          dti = to_datetime(test_times, utc=True)
          expected = dti.tz_convert("US/Eastern")
          tm.assert_index_equal(result, expected)
  
      @pytest.mark.parametrize("tz", [pytz.timezone("US/Eastern"), gettz("US/Eastern")])
      def test_dti_tz_localize_ambiguous_infer(self, tz):
          # November 6, 2011, fall back, repeat 2 AM hour
          # With no repeated hours, we cannot infer the transition
          dr = date_range(datetime(2011, 11, 6, 0), periods=5, freq=pd.offsets.Hour())
          with pytest.raises(pytz.AmbiguousTimeError, match="Cannot infer dst time"):
              dr.tz_localize(tz)
  
          # With repeated hours, we can infer the transition
          dr = date_range(
              datetime(2011, 11, 6, 0), periods=5, freq=pd.offsets.Hour(), tz=tz
          )
          times = [
              "11/06/2011 00:00",
              "11/06/2011 01:00",
              "11/06/2011 01:00",
              "11/06/2011 02:00",
              "11/06/2011 03:00",
          ]
          di = DatetimeIndex(times)
          localized = di.tz_localize(tz, ambiguous="infer")
          tm.assert_index_equal(dr, localized)
          tm.assert_index_equal(dr, DatetimeIndex(times, tz=tz, ambiguous="infer"))
  
          # When there is no dst transition, nothing special happens
          dr = date_range(datetime(2011, 6, 1, 0), periods=10, freq=pd.offsets.Hour())
          localized = dr.tz_localize(tz)
          localized_infer = dr.tz_localize(tz, ambiguous="infer")
          tm.assert_index_equal(localized, localized_infer)
  
      @pytest.mark.parametrize("tz", [pytz.timezone("US/Eastern"), gettz("US/Eastern")])
      def test_dti_tz_localize_ambiguous_times(self, tz):
          # March 13, 2011, spring forward, skip from 2 AM to 3 AM
          dr = date_range(datetime(2011, 3, 13, 1, 30), periods=3, freq=pd.offsets.Hour())
          with pytest.raises(pytz.NonExistentTimeError, match="2011-03-13 02:30:00"):
              dr.tz_localize(tz)
  
          # after dst transition, it works
          dr = date_range(
              datetime(2011, 3, 13, 3, 30), periods=3, freq=pd.offsets.Hour(), tz=tz
          )
  
          # November 6, 2011, fall back, repeat 2 AM hour
          dr = date_range(datetime(2011, 11, 6, 1, 30), periods=3, freq=pd.offsets.Hour())
          with pytest.raises(pytz.AmbiguousTimeError, match="Cannot infer dst time"):
              dr.tz_localize(tz)
  
          # UTC is OK
          dr = date_range(
              datetime(2011, 3, 13), periods=48, freq=pd.offsets.Minute(30), tz=pytz.utc
          )
  
      @pytest.mark.parametrize("tzstr", ["US/Eastern", "dateutil/US/Eastern"])
      def test_dti_tz_localize_pass_dates_to_utc(self, tzstr):
          strdates = ["1/1/2012", "3/1/2012", "4/1/2012"]
  
          idx = DatetimeIndex(strdates)
          conv = idx.tz_localize(tzstr)
  
          fromdates = DatetimeIndex(strdates, tz=tzstr)
  
          assert conv.tz == fromdates.tz
          tm.assert_numpy_array_equal(conv.values, fromdates.values)
  
      @pytest.mark.parametrize("prefix", ["", "dateutil/"])
      def test_dti_tz_localize(self, prefix):
          tzstr = prefix + "US/Eastern"
          dti = pd.date_range(start="1/1/2005", end="1/1/2005 0:00:30.256", freq="L")
          dti2 = dti.tz_localize(tzstr)
  
          dti_utc = pd.date_range(
              start="1/1/2005 05:00", end="1/1/2005 5:00:30.256", freq="L", tz="utc"
          )
  
          tm.assert_numpy_array_equal(dti2.values, dti_utc.values)
  
          dti3 = dti2.tz_convert(prefix + "US/Pacific")
          tm.assert_numpy_array_equal(dti3.values, dti_utc.values)
  
          dti = pd.date_range(start="11/6/2011 1:59", end="11/6/2011 2:00", freq="L")
          with pytest.raises(pytz.AmbiguousTimeError, match="Cannot infer dst time"):
              dti.tz_localize(tzstr)
  
          dti = pd.date_range(start="3/13/2011 1:59", end="3/13/2011 2:00", freq="L")
          with pytest.raises(pytz.NonExistentTimeError, match="2011-03-13 02:00:00"):
              dti.tz_localize(tzstr)
  
      @pytest.mark.parametrize(
          "tz",
          [
              "US/Eastern",
              "dateutil/US/Eastern",
              pytz.timezone("US/Eastern"),
              gettz("US/Eastern"),
          ],
      )
      def test_dti_tz_localize_utc_conversion(self, tz):
          # Localizing to time zone should:
          #  1) check for DST ambiguities
          #  2) convert to UTC
  
          rng = date_range("3/10/2012", "3/11/2012", freq="30T")
  
          converted = rng.tz_localize(tz)
          expected_naive = rng + pd.offsets.Hour(5)
          tm.assert_numpy_array_equal(converted.asi8, expected_naive.asi8)
  
          # DST ambiguity, this should fail
          rng = date_range("3/11/2012", "3/12/2012", freq="30T")
          # Is this really how it should fail??
          with pytest.raises(pytz.NonExistentTimeError, match="2012-03-11 02:00:00"):
              rng.tz_localize(tz)
  
      def test_dti_tz_localize_roundtrip(self, tz_aware_fixture):
          # note: this tz tests that a tz-naive index can be localized
          # and de-localized successfully, when there are no DST transitions
          # in the range.
          idx = date_range(start="2014-06-01", end="2014-08-30", freq="15T")
          tz = tz_aware_fixture
          localized = idx.tz_localize(tz)
          # cant localize a tz-aware object
          with pytest.raises(
              TypeError, match="Already tz-aware, use tz_convert to convert"
          ):
              localized.tz_localize(tz)
          reset = localized.tz_localize(None)
          assert reset.tzinfo is None
          tm.assert_index_equal(reset, idx)
  
      def test_dti_tz_localize_naive(self):
          rng = date_range("1/1/2011", periods=100, freq="H")
  
          conv = rng.tz_localize("US/Pacific")
          exp = date_range("1/1/2011", periods=100, freq="H", tz="US/Pacific")
  
          tm.assert_index_equal(conv, exp)
  
      def test_dti_tz_localize_tzlocal(self):
          # GH#13583
          offset = dateutil.tz.tzlocal().utcoffset(datetime(2011, 1, 1))
          offset = int(offset.total_seconds() * 1000000000)
  
          dti = date_range(start="2001-01-01", end="2001-03-01")
          dti2 = dti.tz_localize(dateutil.tz.tzlocal())
          tm.assert_numpy_array_equal(dti2.asi8 + offset, dti.asi8)
  
          dti = date_range(start="2001-01-01", end="2001-03-01", tz=dateutil.tz.tzlocal())
          dti2 = dti.tz_localize(None)
          tm.assert_numpy_array_equal(dti2.asi8 - offset, dti.asi8)
  
      @pytest.mark.parametrize("tz", [pytz.timezone("US/Eastern"), gettz("US/Eastern")])
      def test_dti_tz_localize_ambiguous_nat(self, tz):
          times = [
              "11/06/2011 00:00",
              "11/06/2011 01:00",
              "11/06/2011 01:00",
              "11/06/2011 02:00",
              "11/06/2011 03:00",
          ]
          di = DatetimeIndex(times)
          localized = di.tz_localize(tz, ambiguous="NaT")
  
          times = [
              "11/06/2011 00:00",
              np.NaN,
              np.NaN,
              "11/06/2011 02:00",
              "11/06/2011 03:00",
          ]
          di_test = DatetimeIndex(times, tz="US/Eastern")
  
          # left dtype is datetime64[ns, US/Eastern]
          # right is datetime64[ns, tzfile('/usr/share/zoneinfo/US/Eastern')]
          tm.assert_numpy_array_equal(di_test.values, localized.values)
  
      @pytest.mark.parametrize("tz", [pytz.timezone("US/Eastern"), gettz("US/Eastern")])
      def test_dti_tz_localize_ambiguous_flags(self, tz):
          # November 6, 2011, fall back, repeat 2 AM hour
  
          # Pass in flags to determine right dst transition
          dr = date_range(
              datetime(2011, 11, 6, 0), periods=5, freq=pd.offsets.Hour(), tz=tz
          )
          times = [
              "11/06/2011 00:00",
              "11/06/2011 01:00",
              "11/06/2011 01:00",
              "11/06/2011 02:00",
              "11/06/2011 03:00",
          ]
  
          # Test tz_localize
          di = DatetimeIndex(times)
          is_dst = [1, 1, 0, 0, 0]
          localized = di.tz_localize(tz, ambiguous=is_dst)
          tm.assert_index_equal(dr, localized)
          tm.assert_index_equal(dr, DatetimeIndex(times, tz=tz, ambiguous=is_dst))
  
          localized = di.tz_localize(tz, ambiguous=np.array(is_dst))
          tm.assert_index_equal(dr, localized)
  
          localized = di.tz_localize(tz, ambiguous=np.array(is_dst).astype("bool"))
          tm.assert_index_equal(dr, localized)
  
          # Test constructor
          localized = DatetimeIndex(times, tz=tz, ambiguous=is_dst)
          tm.assert_index_equal(dr, localized)
  
          # Test duplicate times where inferring the dst fails
          times += times
          di = DatetimeIndex(times)
  
          # When the sizes are incompatible, make sure error is raised
          msg = "Length of ambiguous bool-array must be the same size as vals"
          with pytest.raises(Exception, match=msg):
              di.tz_localize(tz, ambiguous=is_dst)
  
          # When sizes are compatible and there are repeats ('infer' won't work)
          is_dst = np.hstack((is_dst, is_dst))
          localized = di.tz_localize(tz, ambiguous=is_dst)
          dr = dr.append(dr)
          tm.assert_index_equal(dr, localized)
  
          # When there is no dst transition, nothing special happens
          dr = date_range(datetime(2011, 6, 1, 0), periods=10, freq=pd.offsets.Hour())
          is_dst = np.array([1] * 10)
          localized = dr.tz_localize(tz)
          localized_is_dst = dr.tz_localize(tz, ambiguous=is_dst)
          tm.assert_index_equal(localized, localized_is_dst)
  
      # TODO: belongs outside tz_localize tests?
      @pytest.mark.parametrize("tz", ["Europe/London", "dateutil/Europe/London"])
      def test_dti_construction_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, freq="H")
          assert times[-1] == Timestamp("2013-10-27 01:00:00+0000", tz=tz, freq="H")
  
      @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_dti_construction_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, freq="H")
  
      def test_dti_tz_localize_bdate_range(self):
          dr = pd.bdate_range("1/1/2009", "1/1/2010")
          dr_utc = pd.bdate_range("1/1/2009", "1/1/2010", tz=pytz.utc)
          localized = dr.tz_localize(pytz.utc)
          tm.assert_index_equal(dr_utc, localized)
  
      @pytest.mark.parametrize("tz", ["Europe/Warsaw", "dateutil/Europe/Warsaw"])
      @pytest.mark.parametrize(
          "method, exp", [["NaT", pd.NaT], ["raise", None], ["foo", "invalid"]]
      )
      def test_dti_tz_localize_nonexistent(self, tz, method, exp):
          # GH 8917
          n = 60
          dti = date_range(start="2015-03-29 02:00:00", periods=n, freq="min")
          if method == "raise":
              with pytest.raises(pytz.NonExistentTimeError, match="2015-03-29 02:00:00"):
                  dti.tz_localize(tz, nonexistent=method)
          elif exp == "invalid":
              msg = (
                  "The nonexistent argument must be one of "
                  "'raise', 'NaT', 'shift_forward', 'shift_backward' "
                  "or a timedelta object"
              )
              with pytest.raises(ValueError, match=msg):
                  dti.tz_localize(tz, nonexistent=method)
          else:
              result = dti.tz_localize(tz, nonexistent=method)
              expected = DatetimeIndex([exp] * n, tz=tz)
              tm.assert_index_equal(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/"])
      def test_dti_tz_localize_nonexistent_shift(
          self, start_ts, tz, end_ts, shift, tz_type
      ):
          # GH 8917
          tz = tz_type + tz
          if isinstance(shift, str):
              shift = "shift_" + shift
          dti = DatetimeIndex([Timestamp(start_ts)])
          result = dti.tz_localize(tz, nonexistent=shift)
          expected = DatetimeIndex([Timestamp(end_ts)]).tz_localize(tz)
          tm.assert_index_equal(result, expected)
  
      @pytest.mark.parametrize("offset", [-1, 1])
      @pytest.mark.parametrize("tz_type", ["", "dateutil/"])
      def test_dti_tz_localize_nonexistent_shift_invalid(self, offset, tz_type):
          # GH 8917
          tz = tz_type + "Europe/Warsaw"
          dti = DatetimeIndex([Timestamp("2015-03-29 02:20:00")])
          msg = "The provided timedelta will relocalize on a nonexistent time"
          with pytest.raises(ValueError, match=msg):
              dti.tz_localize(tz, nonexistent=timedelta(seconds=offset))
  
      # -------------------------------------------------------------
      # DatetimeIndex.normalize
  
      def test_normalize_tz(self):
          rng = date_range("1/1/2000 9:30", periods=10, freq="D", tz="US/Eastern")
  
          result = rng.normalize()
          expected = date_range("1/1/2000", periods=10, freq="D", tz="US/Eastern")
          tm.assert_index_equal(result, expected)
  
          assert result.is_normalized
          assert not rng.is_normalized
  
          rng = date_range("1/1/2000 9:30", periods=10, freq="D", tz="UTC")
  
          result = rng.normalize()
          expected = date_range("1/1/2000", periods=10, freq="D", tz="UTC")
          tm.assert_index_equal(result, expected)
  
          assert result.is_normalized
          assert not rng.is_normalized
  
          rng = date_range("1/1/2000 9:30", periods=10, freq="D", tz=tzlocal())
          result = rng.normalize()
          expected = date_range("1/1/2000", periods=10, freq="D", tz=tzlocal())
          tm.assert_index_equal(result, expected)
  
          assert result.is_normalized
          assert not rng.is_normalized
  
      @td.skip_if_windows
      @pytest.mark.parametrize(
          "timezone",
          [
              "US/Pacific",
              "US/Eastern",
              "UTC",
              "Asia/Kolkata",
              "Asia/Shanghai",
              "Australia/Canberra",
          ],
      )
      def test_normalize_tz_local(self, timezone):
          # GH#13459
          with tm.set_timezone(timezone):
              rng = date_range("1/1/2000 9:30", periods=10, freq="D", tz=tzlocal())
  
              result = rng.normalize()
              expected = date_range("1/1/2000", periods=10, freq="D", tz=tzlocal())
              tm.assert_index_equal(result, expected)
  
              assert result.is_normalized
              assert not rng.is_normalized
  
      # ------------------------------------------------------------
      # DatetimeIndex.__new__
  
      @pytest.mark.parametrize("prefix", ["", "dateutil/"])
      def test_dti_constructor_static_tzinfo(self, prefix):
          # it works!
          index = DatetimeIndex([datetime(2012, 1, 1)], tz=prefix + "EST")
          index.hour
          index[0]
  
      def test_dti_constructor_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()
  
      @pytest.mark.parametrize("tzstr", ["US/Eastern", "dateutil/US/Eastern"])
      def test_dti_convert_datetime_list(self, tzstr):
          dr = date_range("2012-06-02", periods=10, tz=tzstr, name="foo")
          dr2 = DatetimeIndex(list(dr), name="foo")
          tm.assert_index_equal(dr, dr2)
          assert dr.tz == dr2.tz
          assert dr2.name == "foo"
  
      def test_dti_construction_univalent(self):
          rng = date_range("03/12/2012 00:00", periods=10, freq="W-FRI", tz="US/Eastern")
          rng2 = DatetimeIndex(data=rng, tz="US/Eastern")
          tm.assert_index_equal(rng, rng2)
  
      @pytest.mark.parametrize("tz", [pytz.timezone("US/Eastern"), gettz("US/Eastern")])
      def test_dti_from_tzaware_datetime(self, tz):
          d = [datetime(2012, 8, 19, tzinfo=tz)]
  
          index = DatetimeIndex(d)
          assert timezones.tz_compare(index.tz, tz)
  
      @pytest.mark.parametrize("tzstr", ["US/Eastern", "dateutil/US/Eastern"])
      def test_dti_tz_constructors(self, tzstr):
          """ Test different DatetimeIndex constructions with timezone
          Follow-up of GH#4229
          """
          arr = ["11/10/2005 08:00:00", "11/10/2005 09:00:00"]
  
          idx1 = to_datetime(arr).tz_localize(tzstr)
          idx2 = pd.date_range(start="2005-11-10 08:00:00", freq="H", periods=2, tz=tzstr)
          idx3 = DatetimeIndex(arr, tz=tzstr)
          idx4 = DatetimeIndex(np.array(arr), tz=tzstr)
  
          for other in [idx2, idx3, idx4]:
              tm.assert_index_equal(idx1, other)
  
      # -------------------------------------------------------------
      # Unsorted
  
      @pytest.mark.parametrize(
          "dtype",
          [None, "datetime64[ns, CET]", "datetime64[ns, EST]", "datetime64[ns, UTC]"],
      )
      def test_date_accessor(self, dtype):
          # Regression test for GH#21230
          expected = np.array([date(2018, 6, 4), pd.NaT])
  
          index = DatetimeIndex(["2018-06-04 10:00:00", pd.NaT], dtype=dtype)
          result = index.date
  
          tm.assert_numpy_array_equal(result, expected)
  
      @pytest.mark.parametrize(
          "dtype",
          [None, "datetime64[ns, CET]", "datetime64[ns, EST]", "datetime64[ns, UTC]"],
      )
      def test_time_accessor(self, dtype):
          # Regression test for GH#21267
          expected = np.array([time(10, 20, 30), pd.NaT])
  
          index = DatetimeIndex(["2018-06-04 10:20:30", pd.NaT], dtype=dtype)
          result = index.time
  
          tm.assert_numpy_array_equal(result, expected)
  
      def test_timetz_accessor(self, tz_naive_fixture):
          # GH21358
          tz = timezones.maybe_get_tz(tz_naive_fixture)
  
          expected = np.array([time(10, 20, 30, tzinfo=tz), pd.NaT])
  
          index = DatetimeIndex(["2018-06-04 10:20:30", pd.NaT], tz=tz)
          result = index.timetz
  
          tm.assert_numpy_array_equal(result, expected)
  
      def test_dti_drop_dont_lose_tz(self):
          # GH#2621
          ind = date_range("2012-12-01", periods=10, tz="utc")
          ind = ind.drop(ind[-1])
  
          assert ind.tz is not None
  
      def test_dti_tz_conversion_freq(self, tz_naive_fixture):
          # GH25241
          t3 = DatetimeIndex(["2019-01-01 10:00"], freq="H")
          assert t3.tz_localize(tz=tz_naive_fixture).freq == t3.freq
          t4 = DatetimeIndex(["2019-01-02 12:00"], tz="UTC", freq="T")
          assert t4.tz_convert(tz="UTC").freq == t4.freq
  
      def test_drop_dst_boundary(self):
          # see gh-18031
          tz = "Europe/Brussels"
          freq = "15min"
  
          start = pd.Timestamp("201710290100", tz=tz)
          end = pd.Timestamp("201710290300", tz=tz)
          index = pd.date_range(start=start, end=end, freq=freq)
  
          expected = DatetimeIndex(
              [
                  "201710290115",
                  "201710290130",
                  "201710290145",
                  "201710290200",
                  "201710290215",
                  "201710290230",
                  "201710290245",
                  "201710290200",
                  "201710290215",
                  "201710290230",
                  "201710290245",
                  "201710290300",
              ],
              tz=tz,
              freq=freq,
              ambiguous=[
                  True,
                  True,
                  True,
                  True,
                  True,
                  True,
                  True,
                  False,
                  False,
                  False,
                  False,
                  False,
              ],
          )
          result = index.drop(index[0])
          tm.assert_index_equal(result, expected)
  
      def test_date_range_localize(self):
          rng = date_range("3/11/2012 03:00", periods=15, freq="H", tz="US/Eastern")
          rng2 = DatetimeIndex(["3/11/2012 03:00", "3/11/2012 04:00"], tz="US/Eastern")
          rng3 = date_range("3/11/2012 03:00", periods=15, freq="H")
          rng3 = rng3.tz_localize("US/Eastern")
  
          tm.assert_index_equal(rng, rng3)
  
          # DST transition time
          val = rng[0]
          exp = Timestamp("3/11/2012 03:00", tz="US/Eastern")
  
          assert val.hour == 3
          assert exp.hour == 3
          assert val == exp  # same UTC value
          tm.assert_index_equal(rng[:2], rng2)
  
          # Right before the DST transition
          rng = date_range("3/11/2012 00:00", periods=2, freq="H", tz="US/Eastern")
          rng2 = DatetimeIndex(["3/11/2012 00:00", "3/11/2012 01:00"], tz="US/Eastern")
          tm.assert_index_equal(rng, rng2)
          exp = Timestamp("3/11/2012 00:00", tz="US/Eastern")
          assert exp.hour == 0
          assert rng[0] == exp
          exp = Timestamp("3/11/2012 01:00", tz="US/Eastern")
          assert exp.hour == 1
          assert rng[1] == exp
  
          rng = date_range("3/11/2012 00:00", periods=10, freq="H", tz="US/Eastern")
          assert rng[2].hour == 3
  
      def test_timestamp_equality_different_timezones(self):
          utc_range = date_range("1/1/2000", periods=20, tz="UTC")
          eastern_range = utc_range.tz_convert("US/Eastern")
          berlin_range = utc_range.tz_convert("Europe/Berlin")
  
          for a, b, c in zip(utc_range, eastern_range, berlin_range):
              assert a == b
              assert b == c
              assert a == c
  
          assert (utc_range == eastern_range).all()
          assert (utc_range == berlin_range).all()
          assert (berlin_range == eastern_range).all()
  
      def test_dti_intersection(self):
          rng = date_range("1/1/2011", periods=100, freq="H", tz="utc")
  
          left = rng[10:90][::-1]
          right = rng[20:80][::-1]
  
          assert left.tz == rng.tz
          result = left.intersection(right)
          assert result.tz == left.tz
  
      def test_dti_equals_with_tz(self):
          left = date_range("1/1/2011", periods=100, freq="H", tz="utc")
          right = date_range("1/1/2011", periods=100, freq="H", tz="US/Eastern")
  
          assert not left.equals(right)
  
      @pytest.mark.parametrize("tzstr", ["US/Eastern", "dateutil/US/Eastern"])
      def test_dti_tz_nat(self, tzstr):
          idx = DatetimeIndex([Timestamp("2013-1-1", tz=tzstr), pd.NaT])
  
          assert isna(idx[1])
          assert idx[0].tzinfo is not None
  
      @pytest.mark.parametrize("tzstr", ["US/Eastern", "dateutil/US/Eastern"])
      def test_dti_astype_asobject_tzinfos(self, tzstr):
          # GH#1345
  
          # dates around a dst transition
          rng = date_range("2/13/2010", "5/6/2010", tz=tzstr)
  
          objs = rng.astype(object)
          for i, x in enumerate(objs):
              exval = rng[i]
              assert x == exval
              assert x.tzinfo == exval.tzinfo
  
          objs = rng.astype(object)
          for i, x in enumerate(objs):
              exval = rng[i]
              assert x == exval
              assert x.tzinfo == exval.tzinfo
  
      @pytest.mark.parametrize("tzstr", ["US/Eastern", "dateutil/US/Eastern"])
      def test_dti_with_timezone_repr(self, tzstr):
          rng = date_range("4/13/2010", "5/6/2010")
  
          rng_eastern = rng.tz_localize(tzstr)
  
          rng_repr = repr(rng_eastern)
          assert "2010-04-13 00:00:00" in rng_repr
  
      @pytest.mark.parametrize("tzstr", ["US/Eastern", "dateutil/US/Eastern"])
      def test_dti_take_dont_lose_meta(self, tzstr):
          rng = date_range("1/1/2000", periods=20, tz=tzstr)
  
          result = rng.take(range(5))
          assert result.tz == rng.tz
          assert result.freq == rng.freq
  
      @pytest.mark.parametrize("tzstr", ["US/Eastern", "dateutil/US/Eastern"])
      def test_utc_box_timestamp_and_localize(self, tzstr):
          tz = timezones.maybe_get_tz(tzstr)
  
          rng = date_range("3/11/2012", "3/12/2012", freq="H", tz="utc")
          rng_eastern = rng.tz_convert(tzstr)
  
          expected = rng[-1].astimezone(tz)
  
          stamp = rng_eastern[-1]
          assert stamp == expected
          assert stamp.tzinfo == expected.tzinfo
  
          # right tzinfo
          rng = date_range("3/13/2012", "3/14/2012", freq="H", tz="utc")
          rng_eastern = rng.tz_convert(tzstr)
          # test not valid for dateutil timezones.
          # assert 'EDT' in repr(rng_eastern[0].tzinfo)
          assert "EDT" in repr(rng_eastern[0].tzinfo) or "tzfile" in repr(
              rng_eastern[0].tzinfo
          )
  
      def test_dti_to_pydatetime(self):
          dt = dateutil.parser.parse("2012-06-13T01:39:00Z")
          dt = dt.replace(tzinfo=tzlocal())
  
          arr = np.array([dt], dtype=object)
  
          result = to_datetime(arr, utc=True)
          assert result.tz is pytz.utc
  
          rng = date_range("2012-11-03 03:00", "2012-11-05 03:00", tz=tzlocal())
          arr = rng.to_pydatetime()
          result = to_datetime(arr, utc=True)
          assert result.tz is pytz.utc
  
      def test_dti_to_pydatetime_fizedtz(self):
          dates = np.array(
              [
                  datetime(2000, 1, 1, tzinfo=fixed_off),
                  datetime(2000, 1, 2, tzinfo=fixed_off),
                  datetime(2000, 1, 3, tzinfo=fixed_off),
              ]
          )
          dti = DatetimeIndex(dates)
  
          result = dti.to_pydatetime()
          tm.assert_numpy_array_equal(dates, result)
  
          result = dti._mpl_repr()
          tm.assert_numpy_array_equal(dates, result)
  
      @pytest.mark.parametrize("tz", [pytz.timezone("US/Central"), gettz("US/Central")])
      def test_with_tz(self, tz):
          # just want it to work
          start = datetime(2011, 3, 12, tzinfo=pytz.utc)
          dr = bdate_range(start, periods=50, freq=pd.offsets.Hour())
          assert dr.tz is pytz.utc
  
          # DateRange with naive datetimes
          dr = bdate_range("1/1/2005", "1/1/2009", tz=pytz.utc)
          dr = bdate_range("1/1/2005", "1/1/2009", tz=tz)
  
          # normalized
          central = dr.tz_convert(tz)
          assert central.tz is tz
          naive = central[0].to_pydatetime().replace(tzinfo=None)
          comp = conversion.localize_pydatetime(naive, tz).tzinfo
          assert central[0].tz is comp
  
          # compare vs a localized tz
          naive = dr[0].to_pydatetime().replace(tzinfo=None)
          comp = conversion.localize_pydatetime(naive, tz).tzinfo
          assert central[0].tz is comp
  
          # datetimes with tzinfo set
          dr = bdate_range(
              datetime(2005, 1, 1, tzinfo=pytz.utc), datetime(2009, 1, 1, tzinfo=pytz.utc)
          )
          msg = "Start and end cannot both be tz-aware with different timezones"
          with pytest.raises(Exception, match=msg):
              bdate_range(datetime(2005, 1, 1, tzinfo=pytz.utc), "1/1/2009", tz=tz)
  
      @pytest.mark.parametrize("prefix", ["", "dateutil/"])
      def test_field_access_localize(self, prefix):
          strdates = ["1/1/2012", "3/1/2012", "4/1/2012"]
          rng = DatetimeIndex(strdates, tz=prefix + "US/Eastern")
          assert (rng.hour == 0).all()
  
          # a more unusual time zone, #1946
          dr = date_range(
              "2011-10-02 00:00", freq="h", periods=10, tz=prefix + "America/Atikokan"
          )
  
          expected = Index(np.arange(10, dtype=np.int64))
          tm.assert_index_equal(dr.hour, expected)
  
      @pytest.mark.parametrize("tz", [pytz.timezone("US/Eastern"), gettz("US/Eastern")])
      def test_dti_convert_tz_aware_datetime_datetime(self, tz):
          # GH#1581
          dates = [datetime(2000, 1, 1), datetime(2000, 1, 2), datetime(2000, 1, 3)]
  
          dates_aware = [conversion.localize_pydatetime(x, tz) for x in dates]
          result = DatetimeIndex(dates_aware)
          assert timezones.tz_compare(result.tz, tz)
  
          converted = to_datetime(dates_aware, utc=True)
          ex_vals = np.array([Timestamp(x).value for x in dates_aware])
          tm.assert_numpy_array_equal(converted.asi8, ex_vals)
          assert converted.tz is pytz.utc
  
      def test_dti_union_aware(self):
          # non-overlapping
          rng = date_range("2012-11-15 00:00:00", periods=6, freq="H", tz="US/Central")
  
          rng2 = date_range("2012-11-15 12:00:00", periods=6, freq="H", tz="US/Eastern")
  
          result = rng.union(rng2)
          expected = rng.astype("O").union(rng2.astype("O"))
          tm.assert_index_equal(result, expected)
          assert result[0].tz.zone == "US/Central"
          assert result[-1].tz.zone == "US/Eastern"
  
      def test_dti_union_mixed(self):
          # GH 21671
          rng = DatetimeIndex([pd.Timestamp("2011-01-01"), pd.NaT])
          rng2 = pd.DatetimeIndex(["2012-01-01", "2012-01-02"], tz="Asia/Tokyo")
          result = rng.union(rng2)
          expected = Index(
              [
                  pd.Timestamp("2011-01-01"),
                  pd.NaT,
                  pd.Timestamp("2012-01-01", tz="Asia/Tokyo"),
                  pd.Timestamp("2012-01-02", tz="Asia/Tokyo"),
              ],
              dtype=object,
          )
          tm.assert_index_equal(result, expected)
  
      @pytest.mark.parametrize(
          "tz", [None, "UTC", "US/Central", dateutil.tz.tzoffset(None, -28800)]
      )
      @pytest.mark.usefixtures("datetime_tz_utc")
      def test_iteration_preserves_nanoseconds(self, tz):
          # GH 19603
          index = DatetimeIndex(
              ["2018-02-08 15:00:00.168456358", "2018-02-08 15:00:00.168456359"], tz=tz
          )
          for i, ts in enumerate(index):
              assert ts == index[i]
  
  
  class TestDateRange:
      """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 = Index([0] * 10)
          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_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 = 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]
  
  
  class TestToDatetime:
      """Tests for the to_datetime constructor with timezones"""
  
      def test_to_datetime_utc(self):
          arr = np.array([dateutil.parser.parse("2012-06-13T01:39:00Z")], dtype=object)
  
          result = to_datetime(arr, utc=True)
          assert result.tz is pytz.utc
  
      def test_to_datetime_fixed_offset(self):
          dates = [
              datetime(2000, 1, 1, tzinfo=fixed_off),
              datetime(2000, 1, 2, tzinfo=fixed_off),
              datetime(2000, 1, 3, tzinfo=fixed_off),
          ]
          result = to_datetime(dates)
          assert result.tz == fixed_off
  