code: def _generate_sample_from_state(self, state, random_state):
      return random_state.poisson(self.lambdas_[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 6 for calling the BasePoissonHMM obj's underlying member method code with example usage: obj._generate_sample_from_state(state, random_state) and returns: random_state