code: def setup_queue_and_worker(
      start_method, capacity, worker_cb, worker_params
  ):
      mp = multiprocessing.get_context(start_method)
      task_queue = ShmQueue(mp, capacity)
      res_queue = ShmQueue(mp, capacity)
      if start_method == "spawn":
          socket_r, socket_w = socket.socketpair()
      else:
          socket_r = None
      proc = mp.Process(
          target=worker,
          args=(
              start_method,
              socket_r,
              task_queue,
              res_queue,
              worker_cb,
              worker_params,
          ),
      )
      proc.start()
      try:
          if start_method == "spawn":
              pid = os.getppid()
              multiprocessing.reduction.send_handle(
                  socket_w, task_queue.shm.handle, pid
              )
              multiprocessing.reduction.send_handle(
                  socket_w, res_queue.shm.handle, pid
              )
          yield task_queue, res_queue
      finally:
          if not proc.exitcode:
              res_queue.close()
              task_queue.close()
          proc.join()
          assert proc.exitcode == 0
  
imports: import os
  import multiprocessing
  import socket
  from contextlib import closing, contextmanager
  import numpy
  from nvidia.dali._multiproc.shared_batch import BufShmChunk, SharedBatchWriter, SharedBatchMeta, deserialize_batch
  from nvidia.dali._multiproc.shared_queue import ShmQueue
  from nvidia.dali._multiproc.messages import ShmMessageDesc
  from test_utils import RandomlyShapedDataIterator
  from nose_utils import raises
label_desc: Use image node_id 5 for calling a global function with example usage: setup_queue_and_worker(start_method, capacity, worker_cb, worker_params) without return types