code: def test_to_csv_with_dst_transitions(self, td):
      with tm.ensure_clean("csv_date_format_with_dst") as path:
          # make sure we are not failing on transitions
          times = date_range(
              "2013-10-26 23:00",
              "2013-10-27 01:00",
              tz="Europe/London",
              freq="h",
              ambiguous="infer",
          )
          i = times + td
          i = i._with_freq(None)  # freq is not preserved by read_csv
          time_range = np.array(range(len(i)), dtype="int64")
          df = DataFrame({"A": time_range}, index=i)
          df.to_csv(path, index=True)
          # we have to reconvert the index as we
          # don't parse the tz's
          result = read_csv(path, index_col=0)
          result.index = to_datetime(result.index, utc=True).tz_convert(
              "Europe/London"
          )
          tm.assert_frame_equal(result, df)
  
imports: import csv
  from io import StringIO
  import os
  import numpy
  import pytest
  from pandas.errors import ParserError
  import pandas
  from pandas import DataFrame, Index, MultiIndex, NaT, Series, Timestamp, date_range, period_range, read_csv, to_datetime
  import pandas._testing
  import pandas.core.common
  from pandas.io.common import get_handle
label_desc: Use image node_id 46 for calling the TestDataFrameToCSV obj's underlying member method code with example usage: obj.test_to_csv_with_dst_transitions(td) without return types