code: def test_summarize(X, X2, probs):
      d = Bernoulli(probs)
      d.summarize(X[:4])
      assert_array_almost_equal(d._w_sum, [4.0, 4.0, 4.0])
      assert_array_almost_equal(d._xw_sum, [2.0, 1.0, 3.0])
  
      d.summarize(X[4:])
      assert_array_almost_equal(d._w_sum, [7.0, 7.0, 7.0])
      assert_array_almost_equal(d._xw_sum, [5.0, 4.0, 4.0])
  
      d = Bernoulli(probs)
      d.summarize(X)
      assert_array_almost_equal(d._w_sum, [7.0, 7.0, 7.0])
      assert_array_almost_equal(d._xw_sum, [5.0, 4.0, 4.0])
  
      d = Bernoulli()
      d.summarize(X[:4])
      assert_array_almost_equal(d._w_sum, [4.0, 4.0, 4.0])
      assert_array_almost_equal(d._xw_sum, [2.0, 1.0, 3.0])
  
      d.summarize(X[4:])
      assert_array_almost_equal(d._w_sum, [7.0, 7.0, 7.0])
      assert_array_almost_equal(d._xw_sum, [5.0, 4.0, 4.0])
  
      d = Bernoulli()
      d.summarize(X)
      assert_array_almost_equal(d._w_sum, [7.0, 7.0, 7.0])
      assert_array_almost_equal(d._xw_sum, [5.0, 4.0, 4.0])
  
imports: import os
  import numpy
  import torch
  import pytest
  from pomegranate.distributions import Bernoulli
  from ._utils import _test_initialization_raises_one_parameter
  from ._utils import _test_initialization
  from ._utils import _test_predictions
  from ._utils import _test_efd_from_summaries
  from ._utils import _test_raises
  from nose.tools import assert_raises
  from numpy.testing import assert_array_almost_equal
label_desc: Use image node_id 18 for calling a global function with example usage: test_summarize(X, X2, probs) without return types