code: def test_sample(self, implementation):
      n_samples = 1000
      h = self.new_hmm(implementation)
      X, states = h.sample(n_samples)
      assert X.shape == (n_samples, self.n_features)
      assert len(states) == n_samples
  
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 4 for calling the GMMHMMTestMixin obj's underlying member method code with example usage: obj.test_sample(implementation) without return types