code: def process_action(self, action):
      return np.clip(action, -1.0, 1.0)
  
file_path: keras-rl/examples/ddpg_mujoco.py
imports: import numpy
  import gym
  from gym import wrappers
  from keras.models import Sequential, Model
  from keras.layers import Dense, Activation, Flatten, Input, Concatenate
  from keras.optimizers import Adam
  from rl.processors import WhiteningNormalizerProcessor
  from rl.agents import DDPGAgent
  from rl.memory import SequentialMemory
  from rl.random import OrnsteinUhlenbeckProcess
label_desc: Use image node_id 1 for calling the MujocoProcessor obj's underlying member method code with example usage: obj.process_action(action) and returns: np