code: def test_summarize_weighted_2d(model, X):
      model.summarize(X, sample_weight=X)
      assert_array_almost_equal(model._w_sum, [3.432638, 9.567362])
  
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 24 for calling a global function with example usage: test_summarize_weighted_2d(model, X) without return types