code: def test_1ptpercluster(self):
      # https://github.com/facebookresearch/faiss/issues/842
      X = np.random.randint(0, 1, (5, 10)).astype("float32")
      k = 5
      niter = 10
      verbose = True
      kmeans = faiss.Kmeans(X.shape[1], k, niter=niter, verbose=verbose)
      kmeans.train(X)
      l2_distances, I = kmeans.index.search(X, 1)
  
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 3 for calling the TestClustering obj's underlying member method code with example usage: obj.test_1ptpercluster() without return types