code: def test_from_summaries(model, X):
      model.summarize(X)
      model.from_summaries()
  
      assert_array_almost_equal(
          model._w_sum, [[0.0, 0.0, 0.0], [0.0, 0.0, 0.0]]
      )
      assert_array_almost_equal(
          model._xw_sum, [[0.0, 0.0, 0.0], [0.0, 0.0, 0.0]]
      )
      assert_array_almost_equal(
          model.centroids, [[1.25, 0.875, 1.5], [2.0, 1.333333, 0.0]]
      )
  
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 19 for calling a global function with example usage: test_from_summaries(model, X) without return types