code: def test_traceback_trainer(ray_start_2_cpus):
      """Ensure that the Trainer's stack trace is not too long."""
  
      def failing(config):
          raise RuntimeError("Error")
  
      trainer = DataParallelTrainer(
          failing, scaling_config=ScalingConfig(num_workers=1)
      )
      with pytest.raises(RuntimeError) as exc_info:
          trainer.fit()
      assert len(str(exc_info.value).split("\n")) <= 13
  
file_path: ray/python/ray/air/tests/test_tracebacks.py
imports: import pytest
  import ray
  from ray.train import ScalingConfig
  from ray.air._internal.util import StartTraceback, skip_exceptions
  from ray.train.data_parallel_trainer import DataParallelTrainer
  from ray.tune import Tuner
label_desc: Use image node_id 5 for calling a global function with example usage: test_traceback_trainer(ray_start_2_cpus) without return types