class_docstr: Normalize a Box action space to [-1, 1]^n.
code: def action(self, action):
      # action is in [0, 1]
      action = action.copy()
  
      # -> [0, 2]
      action += 1
  
      # -> [0, orig_high - orig_low]
      action *= (
          self.env.action_space.high - self.env.action_space.low
      ) / 2
  
      # -> [orig_low, orig_high]
      return action + self.env.action_space.low
  
imports: import gym
  import gym.spaces
  import numpy
label_desc: Use image node_id 2 for calling the NormalizeActionSpace obj's underlying member method code with example usage: obj.action(action) and returns: unknown