code: def test_cases():
      return parameterized.named_parameters(
          {
              "testcase_name": "_batch1_numtrainsteps0",
              "batch_size": 1,
              "actions_from_reward_layer": False,
          },
          {
              "testcase_name": "_batch4_numtrainsteps10",
              "batch_size": 4,
              "actions_from_reward_layer": True,
          },
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tf_agents.bandits.networks import global_and_arm_feature_network
  from tf_agents.bandits.policies import neural_linucb_policy
  from tf_agents.bandits.specs import utils
  from tf_agents.networks import network
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.utils import common
  from tf_agents.utils import test_utils
label_desc: Use image node_id 3 for calling a global function with example usage: test_cases() and returns: parameterized