code: def test_resolve_distributed_mode_slurm3():
      args = argparse.Namespace(
          multiprocessing_distributed=True,
          dist_world_size=None,
          dist_rank=None,
          ngpu=1,
          local_rank=None,
          dist_launcher="slurm",
          dist_backend="nccl",
          dist_init_method="env://",
          dist_master_addr=None,
          dist_master_port=10000,
      )
      env = dict(
          SLURM_PROCID="0",
          SLURM_NTASKS="1",
          SLURM_STEP_NUM_NODES="1",
          SLURM_STEP_NODELIST="localhost",
          SLURM_NODEID="0",
          CUDA_VISIBLE_DEVICES="0,1",
      )
  
      e = ProcessPoolExecutor(max_workers=2)
      with unittest.mock.patch.dict(
          "os.environ", dict(env, SLURM_LOCALID="0")
      ):
          resolve_distributed_mode(args)
          option = build_dataclass(DistributedOption, args)
          fn = e.submit(_init, option)
  
      with unittest.mock.patch.dict(
          "os.environ", dict(env, SLURM_LOCALID="0")
      ):
          option2 = build_dataclass(DistributedOption, args)
          fn2 = e.submit(_init, option2)
  
      fn.result()
      fn2.result()
  
imports: import argparse
  import unittest.mock
  from concurrent.futures.process import ProcessPoolExecutor
  from concurrent.futures.thread import ThreadPoolExecutor
  import pytest
  from espnet2.tasks.abs_task import AbsTask
  from espnet2.train.distributed_utils import DistributedOption, free_port, resolve_distributed_mode
  from espnet2.utils.build_dataclass import build_dataclass
label_desc: Use image node_id 20 for calling a global function with example usage: test_resolve_distributed_mode_slurm3() without return types