code: def test_cases():
      return parameterized.named_parameters(
          {
              "testcase_name": "Greedy",
              "policy_class": (
                  greedy_reward_prediction_policy.GreedyRewardPredictionPolicy
              ),
          },
          {
              "testcase_name": "Boltzmann",
              "policy_class": (
                  boltzmann_reward_prediction_policy.BoltzmannRewardPredictionPolicy
              ),
          },
          {
              "testcase_name": "Falcon",
              "policy_class": (
                  falcon_reward_prediction_policy.FalconRewardPredictionPolicy
              ),
          },
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tf_agents.bandits.networks import global_and_arm_feature_network
  from tf_agents.bandits.networks import heteroscedastic_q_network
  from tf_agents.bandits.policies import boltzmann_reward_prediction_policy
  from tf_agents.bandits.policies import constraints
  from tf_agents.bandits.policies import falcon_reward_prediction_policy
  from tf_agents.bandits.policies import greedy_reward_prediction_policy
  from tf_agents.bandits.specs import utils
  from tf_agents.networks import network
  from tf_agents.specs import array_spec
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.utils import test_utils
  from tensorflow.python.framework import test_util
label_desc: Use image node_id 1 for calling a global function with example usage: test_cases() and returns: parameterized