code: def _generate_sample_from_state(self, state, random_state):
      try:
          (n_trials,) = np.unique(self.n_trials)
      except ValueError:
          raise ValueError(
              "For sampling, a single n_trials must be given"
          )
      return multinomial.rvs(
          n=n_trials,
          p=self.emissionprob_[state, :],
          random_state=random_state,
      )
  
imports: import functools
  import inspect
  import warnings
  import numpy
  from scipy import special
  from scipy.stats import multinomial, poisson
  from sklearn.utils import check_random_state
  from .base import BaseHMM, _AbstractHMM
  from .stats import log_multivariate_normal_density
  from .utils import fill_covars, log_normalize
label_desc: Use image node_id 7 for calling the BaseMultinomialHMM obj's underlying member method code with example usage: obj._generate_sample_from_state(state, random_state) and returns: multinomial