code: def testAgentTransitionTrain(self):
      actor_net = actor_distribution_network.ActorDistributionNetwork(
          self._obs_spec,
          self._action_spec,
          fc_layer_params=(10,),
          continuous_projection_net=tanh_normal_projection_network.TanhNormalProjectionNetwork,
      )
  
      agent = cql_sac_agent.CqlSacAgent(
          self._time_step_spec,
          self._action_spec,
          critic_network=DummyCriticNet(),
          actor_network=actor_net,
          actor_optimizer=tf.compat.v1.train.AdamOptimizer(0.001),
          critic_optimizer=tf.compat.v1.train.AdamOptimizer(0.001),
          alpha_optimizer=tf.compat.v1.train.AdamOptimizer(0.001),
          cql_alpha=5.0,
          num_cql_samples=1,
          include_critic_entropy_term=False,
          use_lagrange_cql_alpha=False,
      )
  
      time_step_spec = self._time_step_spec._replace(
          reward=tensor_spec.BoundedTensorSpec(
              [], tf.float32, minimum=0.0, maximum=1.0, name="reward"
          )
      )
  
      transition_spec = trajectory.Transition(
          time_step=time_step_spec,
          action_step=policy_step.PolicyStep(
              action=self._action_spec, state=(), info=()
          ),
          next_time_step=time_step_spec,
      )
  
      sample_trajectory_experience = tensor_spec.sample_spec_nest(
          transition_spec, outer_dims=(3,)
      )
      agent.train(sample_trajectory_experience)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import tensorflow
  import tensorflow_probability
  from tf_agents.agents.cql import cql_sac_agent
  from tf_agents.agents.ddpg import critic_network
  from tf_agents.agents.ddpg import critic_rnn_network
  from tf_agents.agents.sac import tanh_normal_projection_network
  from tf_agents.networks import actor_distribution_network
  from tf_agents.networks import actor_distribution_rnn_network
  from tf_agents.networks import network
  from tf_agents.networks import utils
  from tf_agents.specs import distribution_spec
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import policy_step
  from tf_agents.trajectories import time_step
  from tf_agents.trajectories import trajectory
  from tf_agents.utils import common
  from tf_agents.utils import nest_utils
  from tf_agents.utils import test_utils
label_desc: Use image node_id 4 for calling the CqlSacAgentTest obj's underlying member method code with example usage: obj.testAgentTransitionTrain() without return types