code: def testIncorrectEnvironmentTrainingFails(self):
      root_dir = self.get_temp_dir()
      with self.assertRaises(error.Error):
          cql_sac_train_eval.train_eval(
              root_dir,
              dataset_name=_DATASET_NAME,
              load_dataset_fn=_load_test_rlds,
              env_name="random_env_name",
              num_gradient_updates=2,
              reward_shift=0.1,
              action_clipping=(0.1, 0.9),
              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 4 for calling the CqlSacTrainEval obj's underlying member method code with example usage: obj.testIncorrectEnvironmentTrainingFails() without return types