code: def worker_process(
      remote: multiprocessing.connection.Connection, seed: int
  ):
      """
      ##Worker Process
  
      Each worker process runs this method
      """
  
      # create game
      game = Game(seed)
  
      # wait for instructions from the connection and execute them
      while True:
          cmd, data = remote.recv()
          if cmd == "step":
              remote.send(game.step(data))
          elif cmd == "reset":
              remote.send(game.reset())
          elif cmd == "close":
              remote.close()
              break
          else:
              raise NotImplementedError
  
file_path: annotated_deep_learning_paper_implementations/labml_nn/rl/game.py
imports: import multiprocessing
  import multiprocessing.connection
  import cv2
  import gym
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: worker_process(remote, seed) without return types