code: def testBuild(self):
      policy = greedy_multi_objective_policy.GreedyMultiObjectiveNeuralPolicy(
          self._time_step_spec,
          self._action_spec,
          self._scalarizer,
          self._create_objective_networks(),
      )
  
      self.assertEqual(policy.time_step_spec, self._time_step_spec)
      self.assertEqual(policy.action_spec, self._action_spec)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  from typing import Dict, List, Text, Tuple
  import numpy
  import tensorflow
  from tf_agents.bandits.multi_objective import multi_objective_scalarizer
  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 greedy_multi_objective_neural_policy
  from tf_agents.bandits.specs import utils
  from tf_agents.networks import network
  from tf_agents.policies import utils
  from tf_agents.specs import array_spec
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.typing import types
  from tf_agents.utils import test_utils
label_desc: Use image node_id 5 for calling the GreedyRewardPredictionPolicyTest obj's underlying member method code with example usage: obj.testBuild() without return types