class_docstr: A wrapper that allow to use dict observation space (coming from GoalEnv) with
  the RL algorithms.
  It assumes that all the spaces of the dict space are of the same type.
  
  :param env: (gym.GoalEnv)
code: def compute_reward(self, achieved_goal, desired_goal, info):
      return self.env.compute_reward(achieved_goal, desired_goal, info)
  
file_path: stable-baselines/stable_baselines/her/utils.py
imports: from collections import OrderedDict
  import numpy
  from gym import spaces
label_desc: Use image node_id 7 for calling the HERGoalEnvWrapper obj's underlying member method code with example usage: obj.compute_reward(achieved_goal, desired_goal, info) and returns: self