text: """ test the scalar Timestamp """
  
  import calendar
  from datetime import datetime, timedelta
  import locale
  import unicodedata
  
  from dateutil.tz import tzutc
  import numpy as np
  import pytest
  import pytz
  from pytz import timezone, utc
  
  from pandas._libs.tslibs.timezones import dateutil_gettz as gettz, get_timezone
  from pandas.compat.numpy import np_datetime64_compat
  import pandas.util._test_decorators as td
  
  from pandas import NaT, Timedelta, Timestamp
  import pandas._testing as tm
  
  from pandas.tseries import offsets
  
  
  class TestTimestampProperties:
      def test_properties_business(self):
          ts = Timestamp("2017-10-01", freq="B")
          control = Timestamp("2017-10-01")
          assert ts.dayofweek == 6
          assert ts.day_of_week == 6
          assert not ts.is_month_start  # not a weekday
          assert not ts.is_quarter_start  # not a weekday
          # Control case: non-business is month/qtr start
          assert control.is_month_start
          assert control.is_quarter_start
  
          ts = Timestamp("2017-09-30", freq="B")
          control = Timestamp("2017-09-30")
          assert ts.dayofweek == 5
          assert ts.day_of_week == 5
          assert not ts.is_month_end  # not a weekday
          assert not ts.is_quarter_end  # not a weekday
          # Control case: non-business is month/qtr start
          assert control.is_month_end
          assert control.is_quarter_end
  
      def test_fields(self):
          def check(value, equal):
              # that we are int like
              assert isinstance(value, int)
              assert value == equal
  
          # GH 10050
          ts = Timestamp("2015-05-10 09:06:03.000100001")
          check(ts.year, 2015)
          check(ts.month, 5)
          check(ts.day, 10)
          check(ts.hour, 9)
          check(ts.minute, 6)
          check(ts.second, 3)
          msg = "'Timestamp' object has no attribute 'millisecond'"
          with pytest.raises(AttributeError, match=msg):
              ts.millisecond
          check(ts.microsecond, 100)
          check(ts.nanosecond, 1)
          check(ts.dayofweek, 6)
          check(ts.day_of_week, 6)
          check(ts.quarter, 2)
          check(ts.dayofyear, 130)
          check(ts.day_of_year, 130)
          check(ts.week, 19)
          check(ts.daysinmonth, 31)
          check(ts.daysinmonth, 31)
  
          # GH 13303
          ts = Timestamp("2014-12-31 23:59:00-05:00", tz="US/Eastern")
          check(ts.year, 2014)
          check(ts.month, 12)
          check(ts.day, 31)
          check(ts.hour, 23)
          check(ts.minute, 59)
          check(ts.second, 0)
          msg = "'Timestamp' object has no attribute 'millisecond'"
          with pytest.raises(AttributeError, match=msg):
              ts.millisecond
          check(ts.microsecond, 0)
          check(ts.nanosecond, 0)
          check(ts.dayofweek, 2)
          check(ts.day_of_week, 2)
          check(ts.quarter, 4)
          check(ts.dayofyear, 365)
          check(ts.day_of_year, 365)
          check(ts.week, 1)
          check(ts.daysinmonth, 31)
  
          ts = Timestamp("2014-01-01 00:00:00+01:00")
          starts = ["is_month_start", "is_quarter_start", "is_year_start"]
          for start in starts:
              assert getattr(ts, start)
          ts = Timestamp("2014-12-31 23:59:59+01:00")
          ends = ["is_month_end", "is_year_end", "is_quarter_end"]
          for end in ends:
              assert getattr(ts, end)
  
      # GH 12806
      @pytest.mark.parametrize(
          "data",
          [Timestamp("2017-08-28 23:00:00"), Timestamp("2017-08-28 23:00:00", tz="EST")],
      )
      @pytest.mark.parametrize(
          "time_locale", [None] if tm.get_locales() is None else [None] + tm.get_locales()
      )
      def test_names(self, data, time_locale):
          # GH 17354
          # Test .day_name(), .month_name
          if time_locale is None:
              expected_day = "Monday"
              expected_month = "August"
          else:
              with tm.set_locale(time_locale, locale.LC_TIME):
                  expected_day = calendar.day_name[0].capitalize()
                  expected_month = calendar.month_name[8].capitalize()
  
          result_day = data.day_name(time_locale)
          result_month = data.month_name(time_locale)
  
          # Work around https://github.com/pandas-dev/pandas/issues/22342
          # different normalizations
          expected_day = unicodedata.normalize("NFD", expected_day)
          expected_month = unicodedata.normalize("NFD", expected_month)
  
          result_day = unicodedata.normalize("NFD", result_day)
          result_month = unicodedata.normalize("NFD", result_month)
  
          assert result_day == expected_day
          assert result_month == expected_month
  
          # Test NaT
          nan_ts = Timestamp(NaT)
          assert np.isnan(nan_ts.day_name(time_locale))
          assert np.isnan(nan_ts.month_name(time_locale))
  
      def test_is_leap_year(self, tz_naive_fixture):
          tz = tz_naive_fixture
          # GH 13727
          dt = Timestamp("2000-01-01 00:00:00", tz=tz)
          assert dt.is_leap_year
          assert isinstance(dt.is_leap_year, bool)
  
          dt = Timestamp("1999-01-01 00:00:00", tz=tz)
          assert not dt.is_leap_year
  
          dt = Timestamp("2004-01-01 00:00:00", tz=tz)
          assert dt.is_leap_year
  
          dt = Timestamp("2100-01-01 00:00:00", tz=tz)
          assert not dt.is_leap_year
  
      def test_woy_boundary(self):
          # make sure weeks at year boundaries are correct
          d = datetime(2013, 12, 31)
          result = Timestamp(d).week
          expected = 1  # ISO standard
          assert result == expected
  
          d = datetime(2008, 12, 28)
          result = Timestamp(d).week
          expected = 52  # ISO standard
          assert result == expected
  
          d = datetime(2009, 12, 31)
          result = Timestamp(d).week
          expected = 53  # ISO standard
          assert result == expected
  
          d = datetime(2010, 1, 1)
          result = Timestamp(d).week
          expected = 53  # ISO standard
          assert result == expected
  
          d = datetime(2010, 1, 3)
          result = Timestamp(d).week
          expected = 53  # ISO standard
          assert result == expected
  
          result = np.array(
              [
                  Timestamp(datetime(*args)).week
                  for args in [(2000, 1, 1), (2000, 1, 2), (2005, 1, 1), (2005, 1, 2)]
              ]
          )
          assert (result == [52, 52, 53, 53]).all()
  
      def test_resolution(self):
          # GH#21336, GH#21365
          dt = Timestamp("2100-01-01 00:00:00")
          assert dt.resolution == Timedelta(nanoseconds=1)
  
          # Check that the attribute is available on the class, mirroring
          #  the stdlib datetime behavior
          assert Timestamp.resolution == Timedelta(nanoseconds=1)
  
  
  class TestTimestamp:
      def test_tz(self):
          tstr = "2014-02-01 09:00"
          ts = Timestamp(tstr)
          local = ts.tz_localize("Asia/Tokyo")
          assert local.hour == 9
          assert local == Timestamp(tstr, tz="Asia/Tokyo")
          conv = local.tz_convert("US/Eastern")
          assert conv == Timestamp("2014-01-31 19:00", tz="US/Eastern")
          assert conv.hour == 19
  
          # preserves nanosecond
          ts = Timestamp(tstr) + offsets.Nano(5)
          local = ts.tz_localize("Asia/Tokyo")
          assert local.hour == 9
          assert local.nanosecond == 5
          conv = local.tz_convert("US/Eastern")
          assert conv.nanosecond == 5
          assert conv.hour == 19
  
      def test_utc_z_designator(self):
          assert get_timezone(Timestamp("2014-11-02 01:00Z").tzinfo) is utc
  
      def test_asm8(self):
          np.random.seed(7_960_929)
          ns = [Timestamp.min.value, Timestamp.max.value, 1000]
  
          for n in ns:
              assert (
                  Timestamp(n).asm8.view("i8") == np.datetime64(n, "ns").view("i8") == n
              )
  
          assert Timestamp("nat").asm8.view("i8") == np.datetime64("nat", "ns").view("i8")
  
      def test_class_ops_pytz(self):
          def compare(x, y):
              assert int((Timestamp(x).value - Timestamp(y).value) / 1e9) == 0
  
          compare(Timestamp.now(), datetime.now())
          compare(Timestamp.now("UTC"), datetime.now(timezone("UTC")))
          compare(Timestamp.utcnow(), datetime.utcnow())
          compare(Timestamp.today(), datetime.today())
          current_time = calendar.timegm(datetime.now().utctimetuple())
          compare(
              Timestamp.utcfromtimestamp(current_time),
              datetime.utcfromtimestamp(current_time),
          )
          compare(
              Timestamp.fromtimestamp(current_time), datetime.fromtimestamp(current_time)
          )
  
          date_component = datetime.utcnow()
          time_component = (date_component + timedelta(minutes=10)).time()
          compare(
              Timestamp.combine(date_component, time_component),
              datetime.combine(date_component, time_component),
          )
  
      def test_class_ops_dateutil(self):
          def compare(x, y):
              assert (
                  int(
                      np.round(Timestamp(x).value / 1e9)
                      - np.round(Timestamp(y).value / 1e9)
                  )
                  == 0
              )
  
          compare(Timestamp.now(), datetime.now())
          compare(Timestamp.now("UTC"), datetime.now(tzutc()))
          compare(Timestamp.utcnow(), datetime.utcnow())
          compare(Timestamp.today(), datetime.today())
          current_time = calendar.timegm(datetime.now().utctimetuple())
          compare(
              Timestamp.utcfromtimestamp(current_time),
              datetime.utcfromtimestamp(current_time),
          )
          compare(
              Timestamp.fromtimestamp(current_time), datetime.fromtimestamp(current_time)
          )
  
          date_component = datetime.utcnow()
          time_component = (date_component + timedelta(minutes=10)).time()
          compare(
              Timestamp.combine(date_component, time_component),
              datetime.combine(date_component, time_component),
          )
  
      def test_basics_nanos(self):
          val = np.int64(946_684_800_000_000_000).view("M8[ns]")
          stamp = Timestamp(val.view("i8") + 500)
          assert stamp.year == 2000
          assert stamp.month == 1
          assert stamp.microsecond == 0
          assert stamp.nanosecond == 500
  
          # GH 14415
          val = np.iinfo(np.int64).min + 80_000_000_000_000
          stamp = Timestamp(val)
          assert stamp.year == 1677
          assert stamp.month == 9
          assert stamp.day == 21
          assert stamp.microsecond == 145224
          assert stamp.nanosecond == 192
  
      @pytest.mark.parametrize(
          "value, check_kwargs",
          [
              [946688461000000000, {}],
              [946688461000000000 / 1000, {"unit": "us"}],
              [946688461000000000 / 1_000_000, {"unit": "ms"}],
              [946688461000000000 / 1_000_000_000, {"unit": "s"}],
              [10957, {"unit": "D", "h": 0}],
              [
                  (946688461000000000 + 500000) / 1000000000,
                  {"unit": "s", "us": 499, "ns": 964},
              ],
              [
                  (946688461000000000 + 500000000) / 1000000000,
                  {"unit": "s", "us": 500000},
              ],
              [(946688461000000000 + 500000) / 1000000, {"unit": "ms", "us": 500}],
              [(946688461000000000 + 500000) / 1000, {"unit": "us", "us": 500}],
              [(946688461000000000 + 500000000) / 1000000, {"unit": "ms", "us": 500000}],
              [946688461000000000 / 1000.0 + 5, {"unit": "us", "us": 5}],
              [946688461000000000 / 1000.0 + 5000, {"unit": "us", "us": 5000}],
              [946688461000000000 / 1000000.0 + 0.5, {"unit": "ms", "us": 500}],
              [946688461000000000 / 1000000.0 + 0.005, {"unit": "ms", "us": 5, "ns": 5}],
              [946688461000000000 / 1000000000.0 + 0.5, {"unit": "s", "us": 500000}],
              [10957 + 0.5, {"unit": "D", "h": 12}],
          ],
      )
      def test_unit(self, value, check_kwargs):
          def check(value, unit=None, h=1, s=1, us=0, ns=0):
              stamp = Timestamp(value, unit=unit)
              assert stamp.year == 2000
              assert stamp.month == 1
              assert stamp.day == 1
              assert stamp.hour == h
              if unit != "D":
                  assert stamp.minute == 1
                  assert stamp.second == s
                  assert stamp.microsecond == us
              else:
                  assert stamp.minute == 0
                  assert stamp.second == 0
                  assert stamp.microsecond == 0
              assert stamp.nanosecond == ns
  
          check(value, **check_kwargs)
  
      def test_roundtrip(self):
  
          # test value to string and back conversions
          # further test accessors
          base = Timestamp("20140101 00:00:00")
  
          result = Timestamp(base.value + Timedelta("5ms").value)
          assert result == Timestamp(f"{base}.005000")
          assert result.microsecond == 5000
  
          result = Timestamp(base.value + Timedelta("5us").value)
          assert result == Timestamp(f"{base}.000005")
          assert result.microsecond == 5
  
          result = Timestamp(base.value + Timedelta("5ns").value)
          assert result == Timestamp(f"{base}.000000005")
          assert result.nanosecond == 5
          assert result.microsecond == 0
  
          result = Timestamp(base.value + Timedelta("6ms 5us").value)
          assert result == Timestamp(f"{base}.006005")
          assert result.microsecond == 5 + 6 * 1000
  
          result = Timestamp(base.value + Timedelta("200ms 5us").value)
          assert result == Timestamp(f"{base}.200005")
          assert result.microsecond == 5 + 200 * 1000
  
      def test_hash_equivalent(self):
          d = {datetime(2011, 1, 1): 5}
          stamp = Timestamp(datetime(2011, 1, 1))
          assert d[stamp] == 5
  
      def test_tz_conversion_freq(self, tz_naive_fixture):
          # GH25241
          t1 = Timestamp("2019-01-01 10:00", freq="H")
          assert t1.tz_localize(tz=tz_naive_fixture).freq == t1.freq
          t2 = Timestamp("2019-01-02 12:00", tz="UTC", freq="T")
          assert t2.tz_convert(tz="UTC").freq == t2.freq
  
  
  class TestTimestampNsOperations:
      def test_nanosecond_string_parsing(self):
          ts = Timestamp("2013-05-01 07:15:45.123456789")
          # GH 7878
          expected_repr = "2013-05-01 07:15:45.123456789"
          expected_value = 1_367_392_545_123_456_789
          assert ts.value == expected_value
          assert expected_repr in repr(ts)
  
          ts = Timestamp("2013-05-01 07:15:45.123456789+09:00", tz="Asia/Tokyo")
          assert ts.value == expected_value - 9 * 3600 * 1_000_000_000
          assert expected_repr in repr(ts)
  
          ts = Timestamp("2013-05-01 07:15:45.123456789", tz="UTC")
          assert ts.value == expected_value
          assert expected_repr in repr(ts)
  
          ts = Timestamp("2013-05-01 07:15:45.123456789", tz="US/Eastern")
          assert ts.value == expected_value + 4 * 3600 * 1_000_000_000
          assert expected_repr in repr(ts)
  
          # GH 10041
          ts = Timestamp("20130501T071545.123456789")
          assert ts.value == expected_value
          assert expected_repr in repr(ts)
  
      def test_nanosecond_timestamp(self):
          # GH 7610
          expected = 1_293_840_000_000_000_005
          t = Timestamp("2011-01-01") + offsets.Nano(5)
          assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000005')"
          assert t.value == expected
          assert t.nanosecond == 5
  
          t = Timestamp(t)
          assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000005')"
          assert t.value == expected
          assert t.nanosecond == 5
  
          t = Timestamp(np_datetime64_compat("2011-01-01 00:00:00.000000005Z"))
          assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000005')"
          assert t.value == expected
          assert t.nanosecond == 5
  
          expected = 1_293_840_000_000_000_010
          t = t + offsets.Nano(5)
          assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000010')"
          assert t.value == expected
          assert t.nanosecond == 10
  
          t = Timestamp(t)
          assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000010')"
          assert t.value == expected
          assert t.nanosecond == 10
  
          t = Timestamp(np_datetime64_compat("2011-01-01 00:00:00.000000010Z"))
          assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000010')"
          assert t.value == expected
          assert t.nanosecond == 10
  
  
  class TestTimestampToJulianDate:
      def test_compare_1700(self):
          r = Timestamp("1700-06-23").to_julian_date()
          assert r == 2_342_145.5
  
      def test_compare_2000(self):
          r = Timestamp("2000-04-12").to_julian_date()
          assert r == 2_451_646.5
  
      def test_compare_2100(self):
          r = Timestamp("2100-08-12").to_julian_date()
          assert r == 2_488_292.5
  
      def test_compare_hour01(self):
          r = Timestamp("2000-08-12T01:00:00").to_julian_date()
          assert r == 2_451_768.5416666666666666
  
      def test_compare_hour13(self):
          r = Timestamp("2000-08-12T13:00:00").to_julian_date()
          assert r == 2_451_769.0416666666666666
  
  
  class TestTimestampConversion:
      def test_conversion(self):
          # GH#9255
          ts = Timestamp("2000-01-01")
  
          result = ts.to_pydatetime()
          expected = datetime(2000, 1, 1)
          assert result == expected
          assert type(result) == type(expected)
  
          result = ts.to_datetime64()
          expected = np.datetime64(ts.value, "ns")
          assert result == expected
          assert type(result) == type(expected)
          assert result.dtype == expected.dtype
  
      def test_to_pydatetime_nonzero_nano(self):
          ts = Timestamp("2011-01-01 9:00:00.123456789")
  
          # Warn the user of data loss (nanoseconds).
          with tm.assert_produces_warning(UserWarning, check_stacklevel=False):
              expected = datetime(2011, 1, 1, 9, 0, 0, 123456)
              result = ts.to_pydatetime()
              assert result == expected
  
      def test_timestamp_to_datetime(self):
          stamp = Timestamp("20090415", tz="US/Eastern", freq="D")
          dtval = stamp.to_pydatetime()
          assert stamp == dtval
          assert stamp.tzinfo == dtval.tzinfo
  
      def test_timestamp_to_datetime_dateutil(self):
          stamp = Timestamp("20090415", tz="dateutil/US/Eastern", freq="D")
          dtval = stamp.to_pydatetime()
          assert stamp == dtval
          assert stamp.tzinfo == dtval.tzinfo
  
      def test_timestamp_to_datetime_explicit_pytz(self):
          stamp = Timestamp("20090415", tz=pytz.timezone("US/Eastern"), freq="D")
          dtval = stamp.to_pydatetime()
          assert stamp == dtval
          assert stamp.tzinfo == dtval.tzinfo
  
      @td.skip_if_windows_python_3
      def test_timestamp_to_datetime_explicit_dateutil(self):
          stamp = Timestamp("20090415", tz=gettz("US/Eastern"), freq="D")
          dtval = stamp.to_pydatetime()
          assert stamp == dtval
          assert stamp.tzinfo == dtval.tzinfo
  
      def test_to_datetime_bijective(self):
          # Ensure that converting to datetime and back only loses precision
          # by going from nanoseconds to microseconds.
          exp_warning = None if Timestamp.max.nanosecond == 0 else UserWarning
          with tm.assert_produces_warning(exp_warning, check_stacklevel=False):
              pydt_max = Timestamp.max.to_pydatetime()
  
          assert Timestamp(pydt_max).value / 1000 == Timestamp.max.value / 1000
  
          exp_warning = None if Timestamp.min.nanosecond == 0 else UserWarning
          with tm.assert_produces_warning(exp_warning, check_stacklevel=False):
              pydt_min = Timestamp.min.to_pydatetime()
  
          # The next assertion can be enabled once GH#39221 is merged
          #  assert pydt_min < Timestamp.min  # this is bc nanos are dropped
          tdus = timedelta(microseconds=1)
          assert pydt_min + tdus > Timestamp.min
  
          assert Timestamp(pydt_min + tdus).value / 1000 == Timestamp.min.value / 1000
  
      def test_to_period_tz_warning(self):
          # GH#21333 make sure a warning is issued when timezone
          # info is lost
          ts = Timestamp("2009-04-15 16:17:18", tz="US/Eastern")
          with tm.assert_produces_warning(UserWarning):
              # warning that timezone info will be lost
              ts.to_period("D")
  
      def test_to_numpy_alias(self):
          # GH 24653: alias .to_numpy() for scalars
          ts = Timestamp(datetime.now())
          assert ts.to_datetime64() == ts.to_numpy()
  
  
  class SubDatetime(datetime):
      pass
  
  
  @pytest.mark.parametrize(
      "lh,rh",
      [
          (SubDatetime(2000, 1, 1), Timedelta(hours=1)),
          (Timedelta(hours=1), SubDatetime(2000, 1, 1)),
      ],
  )
  def test_dt_subclass_add_timedelta(lh, rh):
      # GH#25851
      # ensure that subclassed datetime works for
      # Timedelta operations
      result = lh + rh
      expected = SubDatetime(2000, 1, 1, 1)
      assert result == expected
  