code: def test_kprotoypes_random_stocks(self):
      kproto_random = kprototypes.KPrototypes(
          n_clusters=4, init="random", verbose=2
      )
      result = kproto_random.fit(STOCKS, categorical=[1, 2])
      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 10 for calling the TestKProtoTypes obj's underlying member method code with example usage: obj.test_kprotoypes_random_stocks() without return types