code: def test_hmm_log_probability(hmm, X, priors):
      X = numpy.array([X])
      priors = priors.unsqueeze(0)
  
      y_hat = hmm.log_probability(X)
      assert_array_almost_equal(y_hat, [-42.9108], 4)
  
      y_hat = hmm.log_probability(X, priors=priors)
      assert_array_almost_equal(y_hat, [-59.3789], 4)
  
imports: import os
  import numpy
  import torch
  import pytest
  from pomegranate.gmm import GeneralMixtureModel
  from pomegranate.hmm import DenseHMM
  from pomegranate.distributions import Exponential
  from nose.tools import assert_raises
  from numpy.testing import assert_array_equal
  from numpy.testing import assert_array_almost_equal
label_desc: Use image node_id 33 for calling a global function with example usage: test_hmm_log_probability(hmm, X, priors) without return types