code: def test_summarize_weighted_2d(model, X):
      model.summarize(X, sample_weight=X)
      assert_array_almost_equal(
          model._w_sum, [[10.0, 7.0, 12.0], [6.0, 4.0, 0.0]]
      )
      assert_array_almost_equal(
          model._xw_sum, [[32.0, 11.0, 30.0], [14.0, 6.0, 0.0]]
      )
  
imports: import os
  import numpy
  import torch
  import pytest
  from pomegranate.kmeans import KMeans
  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 17 for calling a global function with example usage: test_summarize_weighted_2d(model, X) without return types