code: def test_kmodes_predict_soybean(self):
      kmodes_cao = KModes(n_clusters=4, init="Cao", verbose=2)
      kmodes_cao = kmodes_cao.fit(SOYBEAN)
      result = kmodes_cao.predict(SOYBEAN2)
      expected = np.array([2, 1, 3, 0])
      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 6 for calling the TestKModes obj's underlying member method code with example usage: obj.test_kmodes_predict_soybean() without return types