code: def test_kmodes_empty_init_cluster_soybean(self):
      # Check if the clustering does not crash in case of an empty cluster.
      init_vals = np.array(
          [
              [
                  0,
                  1,
                  2,
                  1,
                  0,
                  3,
                  1,
                  1,
                  0,
                  2,
                  1,
                  1,
                  0,
                  2,
                  2,
                  0,
                  0,
                  0,
                  1,
                  0,
                  1,
                  2,
                  0,
                  0,
                  0,
                  0,
                  0,
                  3,
                  4,
                  0,
                  0,
                  0,
                  0,
                  0,
                  1,
              ],
              [
                  4,
                  0,
                  0,
                  1,
                  1,
                  1,
                  3,
                  1,
                  1,
                  1,
                  1,
                  1,
                  0,
                  2,
                  2,
                  0,
                  0,
                  0,
                  1,
                  1,
                  0,
                  3,
                  0,
                  0,
                  0,
                  2,
                  1,
                  0,
                  4,
                  0,
                  0,
                  0,
                  0,
                  0,
                  0,
              ],
              [
                  3,
                  0,
                  2,
                  1,
                  0,
                  2,
                  0,
                  2,
                  1,
                  1,
                  1,
                  1,
                  0,
                  2,
                  2,
                  0,
                  0,
                  0,
                  1,
                  0,
                  3,
                  0,
                  1,
                  1,
                  0,
                  0,
                  0,
                  0,
                  4,
                  0,
                  0,
                  0,
                  0,
                  0,
                  0,
              ],
              [
                  3,
                  0,
                  2,
                  0,
                  1,
                  3,
                  1,
                  2,
                  0,
                  1,
                  1,
                  0,
                  0,
                  2,
                  2,
                  0,
                  0,
                  0,
                  1,
                  1,
                  1,
                  1,
                  0,
                  1,
                  1,
                  0,
                  0,
                  3,
                  4,
                  0,
                  0,
                  0,
                  0,
                  0,
                  0,
              ],
          ]
      )
      kmodes_init = KModes(n_clusters=4, init=init_vals, verbose=2)
      result = kmodes_init.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 10 for calling the TestKModes obj's underlying member method code with example usage: obj.test_kmodes_empty_init_cluster_soybean() without return types