code: def test_fit_startprob_and_transmat(self, implementation):
      self.test_fit(implementation, "st")
  
imports: import numpy
  from numpy.testing import assert_allclose
  import pytest
  from sklearn.utils import check_random_state
  from ..None import hmm
  from .None import assert_log_likelihood_increasing, make_covar_matrix, normalized
label_desc: Use image node_id 2 for calling the TestGaussianHMMWithSphericalCovars obj's underlying member method code with example usage: obj.test_fit_startprob_and_transmat(implementation) without return types