code: def test_reindex_with_same_tz_nearest(self):
      # GH#32740
      rng_a = date_range(
          "2010-01-01", "2010-01-02", periods=24, tz="utc"
      )
      rng_b = date_range(
          "2010-01-01", "2010-01-02", periods=23, tz="utc"
      )
      result1, result2 = rng_a.reindex(
          rng_b, method="nearest", tolerance=timedelta(seconds=20)
      )
      expected_list1 = [
          "2010-01-01 00:00:00",
          "2010-01-01 01:05:27.272727272",
          "2010-01-01 02:10:54.545454545",
          "2010-01-01 03:16:21.818181818",
          "2010-01-01 04:21:49.090909090",
          "2010-01-01 05:27:16.363636363",
          "2010-01-01 06:32:43.636363636",
          "2010-01-01 07:38:10.909090909",
          "2010-01-01 08:43:38.181818181",
          "2010-01-01 09:49:05.454545454",
          "2010-01-01 10:54:32.727272727",
          "2010-01-01 12:00:00",
          "2010-01-01 13:05:27.272727272",
          "2010-01-01 14:10:54.545454545",
          "2010-01-01 15:16:21.818181818",
          "2010-01-01 16:21:49.090909090",
          "2010-01-01 17:27:16.363636363",
          "2010-01-01 18:32:43.636363636",
          "2010-01-01 19:38:10.909090909",
          "2010-01-01 20:43:38.181818181",
          "2010-01-01 21:49:05.454545454",
          "2010-01-01 22:54:32.727272727",
          "2010-01-02 00:00:00",
      ]
      expected1 = DatetimeIndex(
          expected_list1, dtype="datetime64[ns, UTC]", freq=None
      )
      expected2 = np.array(
          [0] + [-1] * 21 + [23], dtype=np.dtype("intp")
      )
      tm.assert_index_equal(result1, expected1)
      tm.assert_numpy_array_equal(result2, expected2)
  
imports: from datetime import timedelta
  import numpy
  from pandas import DatetimeIndex, date_range
  import pandas._testing
label_desc: Use image node_id 2 for calling the TestDatetimeIndexReindex obj's underlying member method code with example usage: obj.test_reindex_with_same_tz_nearest() without return types