code: def test_summarize_raises(model, X, w):
      assert_raises(ValueError, model.summarize, [X])
      assert_raises(ValueError, model.summarize, X[0])
      assert_raises((ValueError, TypeError), model.summarize, X[0][0])
      assert_raises(
          ValueError,
          model.summarize,
          [[-0.1 for i in range(3)] for x in X],
      )
  
      assert_raises(ValueError, model.summarize, [X], w)
      assert_raises(ValueError, model.summarize, X, [w])
      assert_raises(ValueError, model.summarize, [X], [w])
      assert_raises(ValueError, model.summarize, X[: len(X) - 1], w)
      assert_raises(ValueError, model.summarize, X, w[: len(w) - 1])
  
imports: import numpy
  import torch
  import pytest
  from pomegranate.markov_chain import MarkovChain
  from pomegranate.distributions import Categorical
  from pomegranate.distributions import ConditionalCategorical
  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 15 for calling a global function with example usage: test_summarize_raises(model, X, w) without return types