code: def wrap_deepmind(
      env,
      episode_life=True,
      clip_rewards=True,
      frame_stack=True,
      scale=False,
      fire_reset=False,
      channel_order="chw",
      flicker=False,
  ):
      """Configure environment for DeepMind-style Atari."""
      if episode_life:
          env = EpisodicLifeEnv(env)
      if fire_reset and "FIRE" in env.unwrapped.get_action_meanings():
          env = FireResetEnv(env)
      env = WarpFrame(env, channel_order=channel_order)
      if scale:
          env = ScaledFloatFrame(env)
      if clip_rewards:
          env = ClipRewardEnv(env)
      if flicker:
          env = FlickerFrame(env)
      if frame_stack:
          env = FrameStack(env, 4, channel_order=channel_order)
      return env
  
imports: from collections import deque
  import gym
  import numpy
  from gym import spaces
  import chainerrl
label_desc: Use image node_id 2 for calling a global function with example usage: wrap_deepmind(env, episode_life, clip_rewards, frame_stack, scale, fire_reset, channel_order, flicker) and returns: env