code: def test_kmodes_random_soybean(self):
      kmodes_random = KModes(
          n_clusters=4, init="random", verbose=2, random_state=42
      )
      result = kmodes_random.fit(SOYBEAN)
      self.assertIsInstance(result, KModes)
  
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 8 for calling the TestKModes obj's underlying member method code with example usage: obj.test_kmodes_random_soybean() without return types