code: def test_summarize_weighted_2d(X):
      d = Bernoulli()
      d.summarize(X[:4], sample_weight=X[:4])
      assert_array_almost_equal(d._w_sum, [2.0, 1.0, 3.0])
      assert_array_almost_equal(d._xw_sum, [2.0, 1.0, 3.0])
  
      d.summarize(X[4:], sample_weight=X[4:])
      assert_array_almost_equal(d._w_sum, [5.0, 4.0, 4.0])
      assert_array_almost_equal(d._xw_sum, [5.0, 4.0, 4.0])
  
      d = Bernoulli()
      d.summarize(X, sample_weight=X)
      assert_array_almost_equal(d._w_sum, [5.0, 4.0, 4.0])
      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 21 for calling a global function with example usage: test_summarize_weighted_2d(X) without return types