code: def new_hmm(self, implementation):
      prng = np.random.RandomState(14)
      covars, means, startprob, transmat, weights = prep_params(
          self.n_components,
          self.n_mix,
          self.n_features,
          self.covariance_type,
          self.low,
          self.high,
          prng,
      )
      h = GMMHMM(
          n_components=self.n_components,
          n_mix=self.n_mix,
          covariance_type=self.covariance_type,
          random_state=prng,
          implementation=implementation,
      )
      h.startprob_ = startprob
      h.transmat_ = transmat
      h.weights_ = weights
      h.means_ = means
      h.covars_ = covars
      return h
  
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 1 for calling the GMMHMMTestMixin obj's underlying member method code with example usage: obj.new_hmm(implementation) and returns: h