code: def test_kmodes_nunique_nclusters(self):
      data = np.array([[0, 1], [0, 1], [0, 1], [0, 2], [0, 2], [0, 2]])
      kmodes_cao = KModes(
          n_clusters=6, init="Cao", verbose=2, random_state=42
      )
      result = kmodes_cao.fit_predict(data, categorical=[1])
      expected = np.array([0, 0, 0, 1, 1, 1])
      assert_cluster_splits_equal(result, expected)
      np.testing.assert_array_equal(
          kmodes_cao.cluster_centroids_, np.array([[0, 2], [0, 1]])
      )
  
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 13 for calling the TestKModes obj's underlying member method code with example usage: obj.test_kmodes_nunique_nclusters() without return types