code: def test_dti_representation(self, unit):
      idxs = []
      idxs.append(DatetimeIndex([], freq="D"))
      idxs.append(DatetimeIndex(["2011-01-01"], freq="D"))
      idxs.append(DatetimeIndex(["2011-01-01", "2011-01-02"], freq="D"))
      idxs.append(
          DatetimeIndex(
              ["2011-01-01", "2011-01-02", "2011-01-03"], freq="D"
          )
      )
      idxs.append(
          DatetimeIndex(
              [
                  "2011-01-01 09:00",
                  "2011-01-01 10:00",
                  "2011-01-01 11:00",
              ],
              freq="h",
              tz="Asia/Tokyo",
          )
      )
      idxs.append(
          DatetimeIndex(
              ["2011-01-01 09:00", "2011-01-01 10:00", NaT],
              tz="US/Eastern",
          )
      )
      idxs.append(
          DatetimeIndex(
              ["2011-01-01 09:00", "2011-01-01 10:00", NaT], tz="UTC"
          )
      )
  
      exp = []
      exp.append("DatetimeIndex([], dtype='datetime64[ns]', freq='D')")
      exp.append(
          "DatetimeIndex(['2011-01-01'], dtype='datetime64[ns]', freq='D')"
      )
      exp.append(
          "DatetimeIndex(['2011-01-01', '2011-01-02'], "
          "dtype='datetime64[ns]', freq='D')"
      )
      exp.append(
          "DatetimeIndex(['2011-01-01', '2011-01-02', '2011-01-03'], "
          "dtype='datetime64[ns]', freq='D')"
      )
      exp.append(
          "DatetimeIndex(['2011-01-01 09:00:00+09:00', "
          "'2011-01-01 10:00:00+09:00', '2011-01-01 11:00:00+09:00']"
          ", dtype='datetime64[ns, Asia/Tokyo]', freq='h')"
      )
      exp.append(
          "DatetimeIndex(['2011-01-01 09:00:00-05:00', "
          "'2011-01-01 10:00:00-05:00', 'NaT'], "
          "dtype='datetime64[ns, US/Eastern]', freq=None)"
      )
      exp.append(
          "DatetimeIndex(['2011-01-01 09:00:00+00:00', "
          "'2011-01-01 10:00:00+00:00', 'NaT'], "
          "dtype='datetime64[ns, UTC]', freq=None)"
          ""
      )
  
      with pd.option_context("display.width", 300):
          for index, expected in zip(idxs, exp):
              index = index.as_unit(unit)
              expected = expected.replace("[ns", f"[{unit}")
              result = repr(index)
              assert result == expected
              result = str(index)
              assert result == expected
  
imports: from datetime import datetime
  import dateutil.tz
  import numpy
  import pytest
  import pytz
  import pandas
  from pandas import DatetimeIndex, NaT, Series
  import pandas._testing
label_desc: Use image node_id 6 for calling the TestDatetimeIndexRendering obj's underlying member method code with example usage: obj.test_dti_representation(unit) without return types