code: def test_from_summaries_weighted(model, X, w):
      model.summarize(X, sample_weight=w)
      model.from_summaries()
  
      assert_array_almost_equal(model._w_sum, [0.0, 0.0])
      assert_array_almost_equal(model.priors, [0.554635, 0.445365])
      assert_array_almost_equal(
          model._log_priors, numpy.log([0.554635, 0.445365])
      )
  
imports: import os
  import numpy
  import torch
  import pytest
  from pomegranate.gmm import GeneralMixtureModel
  from pomegranate.distributions import Exponential
  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 27 for calling a global function with example usage: test_from_summaries_weighted(model, X, w) without return types