code: def _get_multiprocessing_context(
      start_method: Optional[str],
  ) -> BaseContext:
      if start_method is None:
          forkserver_available = (
              "forkserver" in multiprocessing.get_all_start_methods()
          )
          start_method = (
              "forkserver" if forkserver_available else "spawn"
          )
      return multiprocessing.get_context(start_method)
  
imports: import logging
  import multiprocessing
  import os
  import signal
  from multiprocessing.context import BaseContext
  from typing import Union, Optional, Generator, Callable, List
  import cloudpickle
  from maze.core.agent.policy import Policy
  from maze.core.agent.torch_model import TorchModel
  from maze.core.annotations import override
  from maze.core.env.maze_env import MazeEnv
  from maze.core.wrappers.observation_normalization.normalization_strategies.base import StructuredStatisticsType
  from maze.train.parallelization.broadcasting_container import BroadcastingManager, BroadcastingContainer
  from maze.train.trainers.es.distributed.es_distributed_rollouts import ESDistributedRollouts, ESRolloutResult
  from maze.train.trainers.es.distributed.es_subproc_worker import ESSubprocWorker
  from maze.train.trainers.es.es_shared_noise_table import SharedNoiseTable
label_desc: Use image node_id 5 for calling the ESSubprocDistributedRollouts obj's underlying member method code with example usage: obj._get_multiprocessing_context(start_method) and returns: multiprocessing