code: def get_pool_executor(num_workers: int, mp_context=None):
      return (
          ProcessPoolExecutor(num_workers, mp_context)
          if num_workers > 1
          else DummyPoolExecutor(1)
      )
  
imports: from concurrent.futures import ProcessPoolExecutor
  from contextlib import contextmanager
  from functools import wraps, lru_cache
  import hashlib
  import json
  import logging
  from pathlib import Path
  import typing
  import flashy
  import flashy.distrib
  import omegaconf
  import torch
  from torch.nn.utils.rnn import pad_sequence
label_desc: Use image node_id 9 for calling a global function with example usage: get_pool_executor(num_workers, mp_context) and returns: unknown