code: def _train(self, exp_name, local_dir, absolute_local_dir):
      (trial,) = tune.run(
          self.MockTrainable,
          name=exp_name,
          stop={"training_iteration": 1},
          checkpoint_config=CheckpointConfig(checkpoint_frequency=1),
          storage_path=local_dir,
          config={"env": "CartPole-v0", "log_level": "DEBUG"},
      ).trials
  
      exp_dir = os.path.join(absolute_local_dir, exp_name)
      _, abs_trial_dir = self._get_trial_dir(exp_dir)
  
      self.assertIsNone(trial.error_file)
      self.assertEqual(trial.path, abs_trial_dir)
  
      self.assertTrue(
          os.path.isdir(absolute_local_dir), absolute_local_dir
      )
      self.assertTrue(os.path.isdir(exp_dir))
      self.assertTrue(os.path.isdir(abs_trial_dir))
      self.assertTrue(
          os.path.isfile(
              os.path.join(
                  abs_trial_dir, "checkpoint_000000/checkpoint.pkl"
              )
          )
      )
  
imports: import os
  import pickle
  import shutil
  import tempfile
  import unittest
  import pytest
  import ray
  from ray import tune
  from ray.train import CheckpointConfig
  from ray.tune import Trainable
  from ray.tune.utils import validate_save_restore
label_desc: Use image node_id 5 for calling the SerialTuneRelativeLocalDirTest obj's underlying member method code with example usage: obj._train(exp_name, local_dir, absolute_local_dir) without return types