code: def test_set_categories(self):
      pidx = pd.CategoricalIndex(["a", "b", "c", "d"])
      psidx = ps.from_pandas(pidx)
  
      self.assert_eq(
          pidx.set_categories(["a", "c", "b", "o"]),
          psidx.set_categories(["a", "c", "b", "o"]),
      )
      self.assert_eq(
          pidx.set_categories(["a", "c", "b"]),
          psidx.set_categories(["a", "c", "b"]),
      )
      self.assert_eq(
          pidx.set_categories(["a", "c", "b", "d", "e"]),
          psidx.set_categories(["a", "c", "b", "d", "e"]),
      )
  
      self.assert_eq(
          pidx.set_categories([0, 1, 3, 2], rename=True),
          psidx.set_categories([0, 1, 3, 2], rename=True),
      )
      self.assert_eq(
          pidx.set_categories([0, 1, 3], rename=True),
          psidx.set_categories([0, 1, 3], rename=True),
      )
      self.assert_eq(
          pidx.set_categories([0, 1, 3, 2, 4], rename=True),
          psidx.set_categories([0, 1, 3, 2, 4], rename=True),
      )
  
      self.assert_eq(
          pidx.set_categories(["a", "c", "b", "o"], ordered=True),
          psidx.set_categories(["a", "c", "b", "o"], ordered=True),
      )
      self.assert_eq(
          pidx.set_categories(["a", "c", "b"], ordered=True),
          psidx.set_categories(["a", "c", "b"], ordered=True),
      )
      self.assert_eq(
          pidx.set_categories(["a", "c", "b", "d", "e"], ordered=True),
          psidx.set_categories(["a", "c", "b", "d", "e"], ordered=True),
      )
  
imports: import unittest
  import pandas
  from pandas.api.types import CategoricalDtype
  import pyspark.pandas
  from pyspark.loose_version import LooseVersion
  from pyspark.testing.pandasutils import PandasOnSparkTestCase, TestUtils
label_desc: Use image node_id 15 for calling the CategoricalIndexTestsMixin obj's underlying member method code with example usage: obj.test_set_categories() without return types