code: def test_summarize(X, probs):
      for param in probs, None:
          d = Categorical(param)
          d.summarize(X[:4])
          assert_array_almost_equal(d._w_sum, [4.0, 4.0, 4.0])
          assert_array_almost_equal(
              d._xw_sum,
              [
                  [0.0, 2.0, 1.0, 1.0],
                  [1.0, 1.0, 2.0, 0.0],
                  [1.0, 1.0, 2.0, 0.0],
              ],
          )
  
          d.summarize(X[4:])
          assert_array_almost_equal(d._w_sum, [7.0, 7.0, 7.0])
          assert_array_almost_equal(
              d._xw_sum,
              [
                  [1.0, 3.0, 2.0, 1.0],
                  [1.0, 4.0, 2.0, 0.0],
                  [3.0, 1.0, 3.0, 0.0],
              ],
          )
  
          d = Categorical(param)
          d.summarize(X)
          assert_array_almost_equal(d._w_sum, [7.0, 7.0, 7.0])
          assert_array_almost_equal(
              d._xw_sum,
              [
                  [1.0, 3.0, 2.0, 1.0],
                  [1.0, 4.0, 2.0, 0.0],
                  [3.0, 1.0, 3.0, 0.0],
              ],
          )
  
imports: import os
  import numpy
  import torch
  import pytest
  from pomegranate.distributions import Categorical
  from ._utils import _test_initialization_raises_one_parameter
  from ._utils import _test_predictions
  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 19 for calling a global function with example usage: test_summarize(X, probs) without return types