code: def test_return_type_doesnt_depend_on_monotonicity_higher_reso(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 *higher) than "min"
      key = "2015-5-14 00:00:00"
  
      # monotonic increasing index
      result = ser.loc[key]
      assert result == 1
  
      # monotonic decreasing index
      result = ser.iloc[::-1].loc[key]
      assert result == 1
  
      # non-monotonic index
      result2 = ser2.loc[key]
      assert result2 == 0
  
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 4 for calling the TestSlicing obj's underlying member method code with example usage: obj.test_return_type_doesnt_depend_on_monotonicity_higher_reso() without return types