code: def setup_method(self, method):
      self.prng = np.random.RandomState(9)
      self.n_components = 3
      self.n_mix = 2
      self.n_features = 2
      self.startprob = normalized(self.prng.rand(self.n_components))
      self.transmat = normalized(
          self.prng.rand(self.n_components, self.n_components), axis=1
      )
      self.gmms = []
      for state in range(self.n_components):
          self.gmms.append(
              create_random_gmm(
                  self.n_mix,
                  self.n_features,
                  self.covariance_type,
                  prng=self.prng,
              )
          )
  
imports: import numpy
  from numpy.testing import assert_allclose
  import pytest
  from sklearn.mixture import GaussianMixture
  from sklearn.utils import check_random_state
  from hmmlearn import hmm
  from .None import assert_log_likelihood_increasing, make_covar_matrix, normalized
label_desc: Use image node_id 1 for calling the GMMHMMTestMixin obj's underlying member method code with example usage: obj.setup_method(method) without return types