code: def test_kprotoypes_huang_stocks_parallel(self):
      kproto_huang = kprototypes.KPrototypes(
          n_clusters=4,
          n_init=4,
          init="Huang",
          verbose=2,
          random_state=42,
          n_jobs=4,
      )
      # Untrained model
      with self.assertRaises(AssertionError):
          kproto_huang.predict(STOCKS, categorical=[1, 2])
      result = kproto_huang.fit_predict(STOCKS, categorical=[1, 2])
      expected = np.array([0, 3, 3, 3, 3, 2, 2, 2, 2, 1, 1, 1])
      assert_cluster_splits_equal(result, expected)
      self.assertTrue(result.dtype == np.dtype(np.uint16))
  
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 6 for calling the TestKProtoTypes obj's underlying member method code with example usage: obj.test_kprotoypes_huang_stocks_parallel() without return types