code: def step(self, action, **kwargs):
      action = (np.copy(action) + 1.0) * 0.5
      action = np.clip(action, 0.0, 1.0)
      return self.env.step(action, **kwargs)
  
imports: import abc
  import gym
  import math
  import numpy
  import random
  from collections import OrderedDict
  from osim.env import ProstheticsEnv
  from parl.utils import logger
  from tqdm import tqdm
label_desc: Use image node_id 2 for calling the ActionScale obj's underlying member method code with example usage: obj.step(action) and returns: self