code: def test_timer_stops_training(tmpdir, caplog):
      """Test that the timer stops training before reaching max_epochs."""
      model = BoringModel()
      duration = timedelta(milliseconds=100)
      timer = Timer(duration=duration)
  
      trainer = Trainer(
          default_root_dir=tmpdir, max_epochs=1000, callbacks=[timer]
      )
      with caplog.at_level(logging.INFO):
          trainer.fit(model)
      assert trainer.global_step > 1
      assert trainer.current_epoch < 999
      assert "Time limit reached." in caplog.text
      assert "Signaling Trainer to stop." in caplog.text
  
imports: import logging
  import time
  from datetime import timedelta
  from unittest.mock import Mock, patch
  import pytest
  from lightning.pytorch import Trainer
  from lightning.pytorch.callbacks import ModelCheckpoint
  from lightning.pytorch.callbacks.timer import Timer
  from lightning.pytorch.demos.boring_classes import BoringModel
  from lightning.pytorch.utilities.exceptions import MisconfigurationException
  from tests_pytorch.helpers.runif import RunIf
label_desc: Use image node_id 5 for calling a global function with example usage: test_timer_stops_training(tmpdir, caplog) without return types