code: def testChecksTrainSequenceLength(self):
      agent = MyAgent(train_sequence_length=2)
      experience = tensor_spec.sample_spec_nest(
          agent.collect_data_spec,
          outer_dims=(
              2,
              20,
          ),
      )
      with self.assertRaisesRegex(
          ValueError, "The agent was configured"
      ):
          agent.train(experience)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import copy
  import numpy
  import tensorflow
  from tf_agents.agents import data_converter
  from tf_agents.agents import test_util
  from tf_agents.agents import tf_agent
  from tf_agents.policies import random_tf_policy
  from tf_agents.specs import array_spec
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.trajectories import trajectory
  from tf_agents.utils import test_utils
label_desc: Use image node_id 1 for calling the TFAgentTest obj's underlying member method code with example usage: obj.testChecksTrainSequenceLength() without return types