code: def worker(remote, parent_remote, env_fn_wrappers):
      def step_env(env, action):
          ob, reward, done, info = env.step(action)
          if done:
              ob = env.reset()
          return ob, reward, done, info
  
      parent_remote.close()
      envs = [env_fn_wrapper() for env_fn_wrapper in env_fn_wrappers.x]
      try:
          while True:
              cmd, data = remote.recv()
              if cmd == "step":
                  remote.send(
                      [
                          step_env(env, action)
                          for env, action in zip(envs, data)
                      ]
                  )
              elif cmd == "reset":
                  remote.send([env.reset() for env in envs])
              elif cmd == "render":
                  remote.send(
                      [env.render(mode="rgb_array") for env in envs]
                  )
              elif cmd == "close":
                  remote.close()
                  break
              elif cmd == "get_spaces_spec":
                  remote.send(
                      CloudpickleWrapper(
                          (
                              envs[0].observation_space,
                              envs[0].action_space,
                              envs[0].spec,
                          )
                      )
                  )
              else:
                  raise NotImplementedError
      except KeyboardInterrupt:
          print("SubprocVecEnv worker: got KeyboardInterrupt")
      finally:
          for env in envs:
              env.close()
  
file_path: baselines/baselines/common/vec_env/subproc_vec_env.py
imports: import multiprocessing
  import numpy
  from .vec_env import VecEnv, CloudpickleWrapper, clear_mpi_env_vars
label_desc: Use image node_id 1 for calling a global function with example usage: worker(remote, parent_remote, env_fn_wrappers) and returns: ob,  reward,  done,  info