docstr: The function you can write to customize rewards. In this
  specific environment, the reward only depends on action history
docstr_tok: ["The","function","you","can","write","to","customize","rewards",".","In","this","specific","environment",",","the","reward","only","depends","on","action","history"]
code: def get_reward(self):
      """
      The function you can write to customize rewards. In this
      specific environment, the reward only depends on action history
      """
      recent_characters = [
          CHARACTERS[c] for c in list(self.recent_actions)
      ]
      string = "".join(recent_characters)
      if not self.done:
          reward = 0
      else:
          reward = self.reward_map[string]
      return reward, string
  
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 5 for calling the StringGameEnvV1 obj's underlying member method code with example usage: obj.get_reward() and returns: reward,  string