code: def test_kmodes_huang_soybean_parallel(self):
      kmodes_huang = KModes(
          n_clusters=4,
          n_init=4,
          init="Huang",
          verbose=2,
          random_state=42,
          n_jobs=4,
      )
      result = kmodes_huang.fit_predict(SOYBEAN)
      expected = np.array(
          [
              1,
              1,
              1,
              1,
              1,
              1,
              1,
              1,
              1,
              1,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              3,
              3,
              3,
              3,
              3,
              3,
              3,
              3,
              3,
              3,
              2,
              2,
              2,
              2,
              2,
              2,
              2,
              2,
              2,
              2,
              2,
              2,
              2,
              2,
              2,
              2,
              2,
          ]
      )
      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.kmodes import KModes
  from kmodes.util.dissim import ng_dissim, jaccard_dissim_binary, jaccard_dissim_label
label_desc: Use image node_id 4 for calling the TestKModes obj's underlying member method code with example usage: obj.test_kmodes_huang_soybean_parallel() without return types