code: def test_from_summaries_null():
      d = Bernoulli([0.2, 0.8])
      d.from_summaries()
      assert d.probs[0] != 0.2 and d.probs[1] != 0.8
      assert_array_almost_equal(d._w_sum, [0.0, 0.0])
      assert_array_almost_equal(d._xw_sum, [0.0, 0.0])
  
      d = Bernoulli([0.2, 0.8], inertia=0.5)
      d.from_summaries()
      assert d.probs[0] != 0.2 and d.probs[1] != 0.8
      assert_array_almost_equal(d._w_sum, [0.0, 0.0])
      assert_array_almost_equal(d._xw_sum, [0.0, 0.0])
  
      d = Bernoulli([0.2, 0.8], inertia=0.5, frozen=True)
      d.from_summaries()
      _test_efd_from_summaries(d, "probs", "_log_probs", [0.2, 0.8])
  
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 26 for calling a global function with example usage: test_from_summaries_null() without return types