code: def step(self, action):
      assert self.action_space.contains(action)
      assert self.done is False
  
      self.step_cnt += 1
      self.recent_actions.append(action)
      if self.step_cnt >= self.max_steps:
          self.done = True
      else:
          self.done = self.sample_terminal(action)
      reward, info = self.get_reward()
      ob = self.get_observation()
  
      return ob, reward, self.done, {"reward_str": info}
  
imports: import logging
  from collections import defaultdict, deque
  import numpy
  import torch
  from gym import Env
  from gym.spaces import Box, Discrete
label_desc: Use image node_id 6 for calling the StringGameEnvV1 obj's underlying member method code with example usage: obj.step(action) and returns: ob,  reward,  self,  dict