code: def test_cases_with_decomposition():
      return parameterized.named_parameters(
          {
              "testcase_name": "batch1Alpha1",
              "batch_size": 1,
              "use_decomposition": False,
              "alpha": 1.0,
          },
          {
              "testcase_name": "batch4Alpha1",
              "batch_size": 4,
              "use_decomposition": True,
              "alpha": 1.0,
          },
          {
              "testcase_name": "batch1Alpha0",
              "batch_size": 1,
              "use_decomposition": False,
              "alpha": 0.0,
          },
          {
              "testcase_name": "batch4Alpha0",
              "batch_size": 4,
              "use_decomposition": True,
              "alpha": 0.0,
          },
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import itertools
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tf_agents.bandits.policies import linear_bandit_policy
  from tf_agents.bandits.specs import utils
  from tf_agents.policies import utils
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.utils import test_utils
label_desc: Use image node_id 3 for calling a global function with example usage: test_cases_with_decomposition() and returns: parameterized