code: def test_return_type_doesnt_depend_on_monotonicity(self):
      # GH#24892 we get Series back regardless of whether our DTI is monotonic
      dti = date_range(
          start="2015-5-13 23:59:00", freq="min", periods=3
      )
      ser = Series(range(3), index=dti)
  
      # non-monotonic index
      ser2 = Series(range(3), index=[dti[1], dti[0], dti[2]])
  
      # key with resolution strictly lower than "min"
      key = "2015-5-14 00"
  
      # monotonic increasing index
      result = ser.loc[key]
      expected = ser.iloc[1:]
      tm.assert_series_equal(result, expected)
  
      # monotonic decreasing index
      result = ser.iloc[::-1].loc[key]
      expected = ser.iloc[::-1][:-1]
      tm.assert_series_equal(result, expected)
  
      # non-monotonic index
      result2 = ser2.loc[key]
      expected2 = ser2.iloc[::2]
      tm.assert_series_equal(result2, expected2)
  
imports: from datetime import datetime
  import numpy
  import pytest
  from pandas import DataFrame, DatetimeIndex, Index, MultiIndex, Series, Timedelta, Timestamp, date_range
  import pandas._testing
label_desc: Use image node_id 3 for calling the TestSlicing obj's underlying member method code with example usage: obj.test_return_type_doesnt_depend_on_monotonicity() without return types