code: def test_kmodes_predict_soybean_jaccard_dissim_binary(self):
      kmodes_huang = KModes(
          n_clusters=4,
          n_init=2,
          init="Huang",
          verbose=2,
          cat_dissim=jaccard_dissim_binary,
          random_state=42,
      )
      # binary encoded variables are required
      bin_variables = SOYBEAN.astype(bool).astype(int)
      kmodes_huang = kmodes_huang.fit(bin_variables)
      # binary encoded variables required for prediction as well
      bin_variables_pred = SOYBEAN2.astype(bool).astype(int)
      result = kmodes_huang.fit_predict(bin_variables_pred)
      expected = np.array([0, 1, 2, 3])
      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 20 for calling the TestKModes obj's underlying member method code with example usage: obj.test_kmodes_predict_soybean_jaccard_dissim_binary() without return types