code: def test_hmm_predict(hmm, X, priors):
      X = numpy.array([X])
      priors = priors.unsqueeze(0)
  
      y_hat = hmm.predict(X)
      assert_array_almost_equal(
          y_hat, [[1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0]], 4
      )
  
      y_hat = hmm.predict(X, priors=priors)
      assert_array_almost_equal(
          y_hat, [[1, 1, 1, 1, 0, 1, 0, 1, 1, 0, 0]], 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 35 for calling a global function with example usage: test_hmm_predict(hmm, X, priors) without return types