code: def test_stats(self):
      d = 32
      k = 5
      xt, xb, xq = get_dataset_2(d, 1000, 0, 0)
      km = faiss.Kmeans(d, k, niter=4)
      km.train(xt)
      assert list(km.obj) == [st["obj"] for st in km.iteration_stats]
  
imports: from __future__ import absolute_import, division, print_function
  import numpy
  import faiss
  import unittest
  import array
  from common_faiss_tests import get_dataset_2
label_desc: Use image node_id 7 for calling the TestClustering obj's underlying member method code with example usage: obj.test_stats() without return types