code: def testPolicy(self):
      agent = bern_ts_agent.BernoulliThompsonSamplingAgent(
          self._time_step_spec, self._action_spec, batch_size=2
      )
      observations = tf.constant([[1, 1]], dtype=tf.float32)
      time_steps = ts.restart(observations, batch_size=2)
      policy = agent.policy
      action_step = policy.action(time_steps)
      # Batch size 2.
      self.assertAllEqual([2], action_step.action.shape)
      self.evaluate(tf.compat.v1.initialize_all_variables())
      self.assertEqual(action_step.action.shape.as_list(), [2])
      self.assertEqual(action_step.action.dtype, tf.int32)
  
imports: import numpy
  import tensorflow
  from tf_agents.bandits.agents import bernoulli_thompson_sampling_agent
  from tf_agents.bandits.drivers import driver_utils
  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 4 for calling the AgentTest obj's underlying member method code with example usage: obj.testPolicy() without return types