code: def testInitializeAgent(self, agent_class, use_num_samples_list):
      reward_net = DummyNet(self._observation_spec, self._action_spec)
      if use_num_samples_list:
          agent_class = functools.partial(
              agent_class, num_samples_list=self._num_samples_list
          )
      agent = agent_class(
          self._time_step_spec,
          self._action_spec,
          reward_network=reward_net,
          optimizer=None,
      )
      init_op = agent.initialize()
      if not tf.executing_eagerly():
          with self.cached_session() as sess:
              common.initialize_uninitialized_variables(sess)
              self.assertIsNone(sess.run(init_op))
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import functools
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tf_agents.bandits.agents import greedy_reward_prediction_agent
  from tf_agents.bandits.agents import neural_boltzmann_agent
  from tf_agents.bandits.agents import neural_epsilon_greedy_agent
  from tf_agents.bandits.agents import neural_falcon_agent
  from tf_agents.bandits.drivers import driver_utils
  from tf_agents.bandits.networks import global_and_arm_feature_network
  from tf_agents.bandits.policies import constraints
  from tf_agents.bandits.specs import utils
  from tf_agents.networks import network
  from tf_agents.policies import utils
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import policy_step
  from tf_agents.trajectories import time_step
  from tf_agents.utils import common
label_desc: Use image node_id 3 for calling the AgentTest obj's underlying member method code with example usage: obj.testInitializeAgent(agent_class, use_num_samples_list) without return types