code: def test_kprotoypes_categoricals_stocks(self):
      # Number/index of categoricals does not make sense
      kproto = kprototypes.KPrototypes(
          n_clusters=4, init="Cao", verbose=2
      )
      with self.assertRaises(AssertionError):
          kproto.fit_predict(STOCKS, categorical=[1, 3])
      with self.assertRaises(AssertionError):
          kproto.fit_predict(STOCKS, categorical=[0, 1, 2])
      result = kproto.fit(STOCKS[:, :2], categorical=1)
      self.assertIsInstance(result, kprototypes.KPrototypes)
  
imports: import pickle
  import unittest
  import numpy
  import pandas
  from kmodes import kprototypes
  from kmodes.tests.test_kmodes import assert_cluster_splits_equal
  from kmodes.util.dissim import ng_dissim
label_desc: Use image node_id 3 for calling the TestKProtoTypes obj's underlying member method code with example usage: obj.test_kprotoypes_categoricals_stocks() without return types