code: def new_hmm(self, impl):
      h = hmm.MultinomialHMM(
          n_components=self.n_components,
          n_trials=self.n_trials,
          implementation=impl,
      )
      h.startprob_ = np.array([0.6, 0.4])
      h.transmat_ = np.array([[0.8, 0.2], [0.2, 0.8]])
      h.emissionprob_ = np.array(
          [[0.5, 0.3, 0.1, 0.1], [0.1, 0.1, 0.4, 0.4]]
      )
      return h
  
file_path: hmmlearn/lib/hmmlearn/tests/test_multinomial_hmm.py
imports: import numpy
  from numpy.testing import assert_allclose
  import pytest
  from hmmlearn import hmm
  from .None import assert_log_likelihood_increasing, normalized
label_desc: Use image node_id 1 for calling the TestMultinomialHMM obj's underlying member method code with example usage: obj.new_hmm(impl) and returns: h