code: def exp_return_of_episode(episode):
      return np.exp(sum(x["reward"] for x in episode))
  
file_path: chainerrl/examples/gym/train_pcl_gym.py
imports: import argparse
  import os
  import chainer
  import gym
  import gym.spaces
  import numpy
  import chainerrl
  from chainerrl import experiments
  from chainerrl import misc
  from chainerrl.optimizers import rmsprop_async
label_desc: Use image node_id 1 for calling a global function with example usage: exp_return_of_episode(episode) and returns: np