code: def testPolicy(self):
      agent = random_agent.RandomAgent(
          self._time_step_spec,
          self._action_spec,
      )
      observations = tf.constant([[1, 2]], dtype=tf.float32)
      time_steps = ts.restart(observations, batch_size=1)
      action_step = agent.policy.action(time_steps)
      self.evaluate(tf.compat.v1.global_variables_initializer())
      actions = self.evaluate(action_step.action)
      self.assertEqual(list(actions.shape), [1, 1])
  
file_path: agents/tf_agents/agents/random/random_agent_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import tensorflow.compat.v2
  from tf_agents.agents.random import random_agent
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.trajectories import trajectory
  from tf_agents.utils import common
  from tf_agents.utils import test_utils
label_desc: Use image node_id 4 for calling the RandomAgentTest obj's underlying member method code with example usage: obj.testPolicy() without return types