code: def test_summarize_raises(X, w, means, covs):
      _test_raises(
          Normal(means, covs, covariance_type="diag"),
          "summarize",
          X,
          w=w,
          min_value=MIN_VALUE,
          max_value=MAX_VALUE,
      )
  
      _test_raises(
          Normal(covariance_type="diag"),
          "summarize",
          X,
          w=w,
          min_value=MIN_VALUE,
          max_value=MAX_VALUE,
      )
  
      _test_raises(
          Normal([VALID_VALUE], [VALID_VALUE], covariance_type="diag"),
          "summarize",
          X,
          w=w,
          min_value=MIN_VALUE,
          max_value=MAX_VALUE,
      )
  
imports: import os
  import numpy
  import torch
  import pytest
  from pomegranate.distributions import Normal
  from ._utils import _test_initialization_raises_two_parameters
  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 24 for calling a global function with example usage: test_summarize_raises(X, w, means, covs) without return types