code: def test_score_samples_and_decode(self, implementation):
      n_samples = 1000
      h = self.new_hmm(implementation)
      X, states = h.sample(n_samples)
  
      _ll, posteriors = h.score_samples(X)
      assert_allclose(np.sum(posteriors, axis=1), np.ones(n_samples))
  
      _viterbi_ll, decoded_states = h.decode(X)
      assert_allclose(states, decoded_states)
  
imports: import numpy
  from numpy.testing import assert_allclose, assert_array_less
  import pytest
  from sklearn.utils import check_random_state
  from ..hmm import GMMHMM
  from .test_gmm_hmm import create_random_gmm
  from .None import assert_log_likelihood_increasing, normalized
label_desc: Use image node_id 6 for calling the GMMHMMTestMixin obj's underlying member method code with example usage: obj.test_score_samples_and_decode(implementation) without return types