code: def model():
      centroids = [[1, 0, 1], [2, 1, -1]]
      return KMeans(centroids=centroids)
  
imports: import os
  import numpy
  import torch
  import pytest
  from pomegranate.kmeans import KMeans
  from .distributions._utils import _test_initialization_raises_one_parameter
  from .distributions._utils import _test_initialization
  from .distributions._utils import _test_predictions
  from .distributions._utils import _test_efd_from_summaries
  from .distributions._utils import _test_raises
  from nose.tools import assert_raises
  from numpy.testing import assert_array_almost_equal
label_desc: Use image node_id 4 for calling a global function with example usage: model() and returns: KMeans