code: def _get_random_state(self):
      return RandomState(seed=self.random_state)
  
imports: import numpy
  import scipy.sparse
  import scipy.special
  from sklearn.base import BaseEstimator
  from sklearn.base import ClassifierMixin, RegressorMixin
  from sklearn.utils.extmath import safe_sparse_dot
  from sklearn.preprocessing import LabelBinarizer
  from sklearn.preprocessing import LabelEncoder
  from .randomkit import RandomState
label_desc: Use image node_id 1 for calling the BaseEstimator obj's underlying member method code with example usage: obj._get_random_state() and returns: RandomState