code: def test_dt_round_tz_ambiguous(self, method):
      # GH 18946 round near "fall back" DST
      df1 = DataFrame(
          [
              pd.to_datetime("2017-10-29 02:00:00+02:00", utc=True),
              pd.to_datetime("2017-10-29 02:00:00+01:00", utc=True),
              pd.to_datetime("2017-10-29 03:00:00+01:00", utc=True),
          ],
          columns=["date"],
      )
      df1["date"] = df1["date"].dt.tz_convert("Europe/Madrid")
      # infer
      result = getattr(df1.date.dt, method)("h", ambiguous="infer")
      expected = df1["date"]
      tm.assert_series_equal(result, expected)
  
      # bool-array
      result = getattr(df1.date.dt, method)(
          "h", ambiguous=[True, False, False]
      )
      tm.assert_series_equal(result, expected)
  
      # NaT
      result = getattr(df1.date.dt, method)("h", ambiguous="NaT")
      expected = df1["date"].copy()
      expected.iloc[0:2] = pd.NaT
      tm.assert_series_equal(result, expected)
  
      # raise
      with tm.external_error_raised(pytz.AmbiguousTimeError):
          getattr(df1.date.dt, method)("h", ambiguous="raise")
  
imports: import calendar
  from datetime import date, datetime, time
  import locale
  import unicodedata
  import numpy
  import pytest
  import pytz
  from pandas._libs.tslibs.timezones import maybe_get_tz
  from pandas.errors import SettingWithCopyError
  from pandas.core.dtypes.common import is_integer_dtype, is_list_like
  import pandas
  from pandas import DataFrame, DatetimeIndex, Index, Period, PeriodIndex, Series, TimedeltaIndex, date_range, period_range, timedelta_range
  import pandas._testing
  from pandas.core.arrays import DatetimeArray, PeriodArray, TimedeltaArray
label_desc: Use image node_id 12 for calling the TestSeriesDatetimeValues obj's underlying member method code with example usage: obj.test_dt_round_tz_ambiguous(method) without return types