code: def testBasicTrainingSuccess(self):
      root_dir = self.get_temp_dir()
      cql_sac_train_eval.train_eval(
          root_dir,
          dataset_name=_DATASET_NAME,
          load_dataset_fn=_load_test_rlds,
          env_name=_ENV_NAME,
          num_gradient_updates=2,
          batch_size=4,
          eval_interval=2,
          eval_episodes=1,
          data_take=_COUNT,
          data_prefetch=1,
          pad_end_of_episodes=True,
      )
  
file_path: agents/tf_agents/examples/cql_sac/kumar20/cql_sac_train_eval_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from gym import error
  import rlds
  import tensorflow
  import tensorflow_datasets
  from tf_agents.examples.cql_sac.kumar20 import cql_sac_train_eval
label_desc: Use image node_id 1 for calling the CqlSacTrainEval obj's underlying member method code with example usage: obj.testBasicTrainingSuccess() without return types