code: def test_set_timeout(mock_init_process_group):
      """Test that the timeout gets passed to the ``torch.distributed.init_process_group`` function."""
      test_timedelta = timedelta(seconds=30)
      model = BoringModel()
      ddp_strategy = DDPStrategy(timeout=test_timedelta)
      trainer = Trainer(
          max_epochs=1,
          accelerator="cpu",
          strategy=ddp_strategy,
      )
      # test wrap the model if fitting
      trainer.strategy.connect(model)
      trainer.lightning_module.trainer = trainer
      trainer.strategy.setup_environment()
  
      process_group_backend = (
          trainer.strategy._get_process_group_backend()
      )
      global_rank = trainer.strategy.cluster_environment.global_rank()
      world_size = trainer.strategy.cluster_environment.world_size()
      mock_init_process_group.assert_called_with(
          process_group_backend,
          rank=global_rank,
          world_size=world_size,
          timeout=test_timedelta,
      )
  
file_path: pytorch-lightning/tests/tests_pytorch/strategies/test_ddp.py
imports: import os
  from datetime import timedelta
  from unittest import mock
  import pytest
  import torch
  from lightning.fabric.plugins.environments import LightningEnvironment
  from lightning.fabric.utilities.imports import _TORCH_GREATER_EQUAL_2_0
  from lightning.pytorch import LightningModule, Trainer
  from lightning.pytorch.demos.boring_classes import BoringModel
  from lightning.pytorch.plugins import DoublePrecision, HalfPrecision, Precision
  from lightning.pytorch.strategies import DDPStrategy
  from lightning.pytorch.trainer.states import TrainerFn
  from torch.nn.parallel import DistributedDataParallel
  from tests_pytorch.helpers.runif import RunIf
label_desc: Use image node_id 4 for calling a global function with example usage: test_set_timeout(mock_init_process_group) without return types