code: def testCreateAgent(self, create_critic_net_fn, skip_in_tf1):
      if skip_in_tf1 and not common.has_eager_been_enabled():
          self.skipTest(
              "Skipping test: sequential networks not supported in TF1"
          )
  
      critic_network = create_critic_net_fn()
  
      sac_agent.SacAgent(
          self._time_step_spec,
          self._action_spec,
          critic_network=critic_network,
          actor_network=None,
          actor_optimizer=None,
          critic_optimizer=None,
          alpha_optimizer=None,
          actor_policy_ctor=DummyActorPolicy,
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import mock
  import tensorflow
  from tf_agents.agents import test_util
  from tf_agents.agents.ddpg import critic_rnn_network
  from tf_agents.agents.sac import sac_agent
  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 nest_map
  from tf_agents.networks import network
  from tf_agents.networks import sequential
  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 test_utils
label_desc: Use image node_id 2 for calling the SacAgentTest obj's underlying member method code with example usage: obj.testCreateAgent(create_critic_net_fn, skip_in_tf1) without return types