code: def process_reward(self, reward):
      return np.clip(reward, -1.0, 1.0)
  
file_path: keras-rl/examples/dqn_atari.py
imports: from __future__ import division
  import argparse
  from PIL import Image
  import numpy
  import gym
  from keras.models import Sequential
  from keras.layers import Dense, Activation, Flatten, Convolution2D, Permute
  from keras.optimizers import Adam
  import keras.backend
  from rl.agents.dqn import DQNAgent
  from rl.policy import LinearAnnealedPolicy, BoltzmannQPolicy, EpsGreedyQPolicy
  from rl.memory import SequentialMemory
  from rl.core import Processor
  from rl.callbacks import FileLogger, ModelIntervalCheckpoint
label_desc: Use image node_id 3 for calling the AtariProcessor obj's underlying member method code with example usage: obj.process_reward(reward) and returns: np