code: def test_driver_error_with_trainer(
      ray_start_4_cpus, tmp_path, error_on
  ):
      name = f"test_driver_errors_with_tuner-error_on={error_on}"
      trainer = DataParallelTrainer(
          train_loop_per_worker=passing_fn,
          scaling_config=ScalingConfig(num_workers=1),
          run_config=RunConfig(
              storage_path=str(tmp_path),
              name=name,
              callbacks=[FailingCallback(error_on=error_on)],
          ),
      )
  
      with pytest.raises(TrainingFailedError) as exc_info:
          trainer.fit()
  
      # The cause of the error should be the driver error
      # TODO(ml-team): Assert the cause error type once driver error propagation is fixed
      assert "_TestSpecificError" in str(exc_info.value.__cause__)
  
      # TODO(justinvyu): Re-enable after fixing the Trainer.restore(...) error
      # message to give the correct path. Currently it recommends the local path.
      # The error message should just recommend restore
      # FailureConfig doesn't apply since this is not a trainable error
      # assert TrainingFailedError._RESTORE_MSG.format(
      #     trainer_cls_name="DataParallelTrainer", path=str(tmp_path / name)
      # ) in str(exc_info.value)
      assert TrainingFailedError._FAILURE_CONFIG_MSG not in str(
          exc_info.value
      )
  
imports: import gc
  import threading
  import time
  from tempfile import TemporaryDirectory
  import pytest
  import ray
  from ray import train, tune
  from ray._private.test_utils import wait_for_condition
  from ray._raylet import GcsClient
  from ray.cluster_utils import Cluster
  from ray.core.generated import autoscaler_pb2
  from ray.train import Checkpoint, FailureConfig, RunConfig, ScalingConfig
  from ray.train.data_parallel_trainer import DataParallelTrainer
  from ray.train.trainer import BaseTrainer, TrainingFailedError
  from ray.tune import Tuner, TuneConfig, TuneError
  from ray.tests.conftest import *
  from ray.train.tests.util import create_dict_checkpoint, load_dict_checkpoint
label_desc: Use image node_id 9 for calling a global function with example usage: test_driver_error_with_trainer(ray_start_4_cpus, tmp_path, error_on) without return types