code: def setUp(self):
      def train_fn(config):
          for i in range(100):
              ray.train.report(dict(timesteps_total=i))
  
      register_trainable("f1", train_fn)
  
imports: import threading
  import unittest
  import ray
  import ray.train
  from ray.train import CheckpointConfig
  from ray.tune import register_trainable
  from ray.tune.experiment import Experiment, _convert_to_experiment_list
  from ray.tune.error import TuneError
  from ray.tune.utils import diagnose_serialization
label_desc: Use image node_id 2 for calling the ExperimentTest obj's underlying member method code with example usage: obj.setUp() without return types