code: def test_slicing(self):
      cat = Series(Categorical([1, 2, 3, 4]))
      reverse = cat[::-1]
      exp = np.array([4, 3, 2, 1], dtype=np.int64)
      tm.assert_numpy_array_equal(reverse.__array__(), exp)
  
      df = DataFrame({"value": (np.arange(100) + 1).astype("int64")})
      df["D"] = pd.cut(df.value, bins=[0, 25, 50, 75, 100])
  
      expected = Series(
          [11, Interval(0, 25)], index=["value", "D"], name=10
      )
      result = df.iloc[10]
      tm.assert_series_equal(result, expected)
  
      expected = DataFrame(
          {"value": np.arange(11, 21).astype("int64")},
          index=np.arange(10, 20).astype("int64"),
      )
      expected["D"] = pd.cut(expected.value, bins=[0, 25, 50, 75, 100])
      result = df.iloc[10:20]
      tm.assert_frame_equal(result, expected)
  
      expected = Series(
          [9, Interval(0, 25)], index=["value", "D"], name=8
      )
      result = df.loc[8]
      tm.assert_series_equal(result, expected)
  
imports: import re
  import numpy
  import pytest
  import pandas.util._test_decorators
  import pandas
  from pandas import Categorical, CategoricalDtype, CategoricalIndex, DataFrame, Index, Interval, Series, Timedelta, Timestamp, option_context
  import pandas._testing
label_desc: Use image node_id 4 for calling the TestCategoricalIndex obj's underlying member method code with example usage: obj.test_slicing() without return types