code: def worker(
      start_method,
      sock,
      task_queue,
      res_queue,
      worker_cb,
      worker_params,
  ):
      if start_method == "spawn":
          task_queue.open_shm(
              multiprocessing.reduction.recv_handle(sock)
          )
          res_queue.open_shm(
              multiprocessing.reduction.recv_handle(sock)
          )
          sock.close()
      while True:
          if worker_cb(task_queue, res_queue, **worker_params) is None:
              break
  
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 4 for calling a global function with example usage: worker(start_method, sock, task_queue, res_queue, worker_cb, worker_params) without return types