code: def generate_log(
      self, init_state: State, max_horizon: int = -1
  ) -> Mdp:
      transition = Transition(state=self._env.reset(state=init_state))
      mpd = []
      while transition.status != Transition.Status.TERMINATED:
          if max_horizon > 0 and len(mpd) > max_horizon:
              break
          transition = self._env.step(self._policy)
          mpd.append(transition)
      return mpd
  
file_path: ReAgent/reagent/ope/test/envs.py
imports: import random
  from abc import abstractmethod
  from typing import Optional
  from reagent.ope.estimators.sequential_estimators import Mdp, Model, RLPolicy, State, StateReward, Transition
label_desc: Use image node_id 2 for calling the PolicyLogGenerator obj's underlying member method code with example usage: obj.generate_log(init_state, max_horizon) and returns: mpd