code: def test_summarize(X, X2, scales):
      d = Exponential(scales)
      d.summarize(X[:4])
      assert_array_almost_equal(d._w_sum, [4.0, 4.0, 4.0])
      assert_array_almost_equal(d._xw_sum, [4.0, 5.0, 5.0])
  
      d.summarize(X[4:])
      assert_array_almost_equal(d._w_sum, [7.0, 7.0, 7.0])
      assert_array_almost_equal(d._xw_sum, [14.0, 8.0, 9.0])
  
      d = Exponential(scales)
      d.summarize(X)
      assert_array_almost_equal(d._w_sum, [7.0, 7.0, 7.0])
      assert_array_almost_equal(d._xw_sum, [14.0, 8.0, 9.0])
  
      d = Exponential()
      d.summarize(X[:4])
      assert_array_almost_equal(d._w_sum, [4.0, 4.0, 4.0])
      assert_array_almost_equal(d._xw_sum, [4.0, 5.0, 5.0])
  
      d.summarize(X[4:])
      assert_array_almost_equal(d._w_sum, [7.0, 7.0, 7.0])
      assert_array_almost_equal(d._xw_sum, [14.0, 8.0, 9.0])
  
      d = Exponential()
      d.summarize(X)
      assert_array_almost_equal(d._w_sum, [7.0, 7.0, 7.0])
      assert_array_almost_equal(d._xw_sum, [14.0, 8.0, 9.0])
  
imports: import os
  import numpy
  import torch
  import pytest
  from pomegranate.distributions import Exponential
  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 20 for calling a global function with example usage: test_summarize(X, X2, scales) without return types