code: def test_kprotoypes_init_stocks_ng(self):
      init_vals = [
          np.array([[356.975], [275.35], [738.5], [197.667]]),
          np.array([[3, 2], [0, 2], [3, 2], [2, 2]]),
      ]
      kproto_init = kprototypes.KPrototypes(
          n_clusters=4,
          init=init_vals,
          verbose=2,
          cat_dissim=ng_dissim,
          random_state=42,
      )
      result = kproto_init.fit_predict(STOCKS, categorical=[1, 2])
      expected = np.array([2, 0, 0, 0, 0, 1, 1, 1, 1, 3, 3, 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 import kprototypes
  from kmodes.tests.test_kmodes import assert_cluster_splits_equal
  from kmodes.util.dissim import ng_dissim
label_desc: Use image node_id 22 for calling the TestKProtoTypes obj's underlying member method code with example usage: obj.test_kprotoypes_init_stocks_ng() without return types