code: def test_log_probability_raises(X, distributions):
      d = IndependentComponents(distributions)
      _test_raises(d, "log_probability", X, min_value=MIN_VALUE)
  
imports: import os
  import numpy
  import torch
  import pytest
  from pomegranate.distributions import Exponential
  from pomegranate.distributions import Gamma
  from pomegranate.distributions import Categorical
  from pomegranate.distributions import IndependentComponents
  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 13 for calling a global function with example usage: test_log_probability_raises(X, distributions) without return types