code: def test_cases():
      return parameterized.named_parameters(
          {
              "testcase_name": "Greedy",
              "agent_class": greedy_agent.GreedyRewardPredictionAgent,
              "use_num_samples_list": True,
          },
          {
              "testcase_name": "Falcon",
              "agent_class": neural_falcon_agent.NeuralFalconAgent,
              "use_num_samples_list": True,
          },
          {
              "testcase_name": "Boltzmann",
              "agent_class": neural_boltzmann_agent.NeuralBoltzmannAgent,
              "use_num_samples_list": True,
          },
          {
              "testcase_name": "EpsilonGreedy",
              "agent_class": functools.partial(
                  neural_epsilon_greedy_agent.NeuralEpsilonGreedyAgent,
                  epsilon=0.05,
              ),
              "use_num_samples_list": False,
          },
      )
  
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 7 for calling a global function with example usage: test_cases() and returns: parameterized