code: def testRandomTFPolicyCompatibility(self):
      if not common.has_eager_been_enabled():
          self.skipTest("Only supported in eager.")
  
      tf_policy = random_tf_policy.RandomTFPolicy(
          self._time_step_tensor_spec,
          self._action_tensor_spec,
          info_spec=self._info_tensor_spec,
      )
  
      py_policy = py_tf_eager_policy.PyTFEagerPolicy(tf_policy)
      time_step = self._env.reset()
  
      def _check_action_step(action_step):
          self.assertIsInstance(action_step.action, np.ndarray)
          self.assertEqual(action_step.action.shape, (1,))
          self.assertBetween(action_step.action[0], 2.0, 3.0)
  
          self.assertIsInstance(action_step.info["a"], np.ndarray)
          self.assertEqual(action_step.info["a"].shape, (1,))
          self.assertBetween(action_step.info["a"][0], 0.0, 1.0)
  
          self.assertIsInstance(action_step.info["b"], np.ndarray)
          self.assertEqual(action_step.info["b"].shape, (1,))
          self.assertBetween(action_step.info["b"][0], 100.0, 101.0)
  
      for _ in range(100):
          action_step = py_policy.action(time_step)
          _check_action_step(action_step)
          time_step = self._env.step(action_step.action)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tf_agents.agents.ddpg import actor_network
  from tf_agents.environments import batched_py_environment
  from tf_agents.environments import random_py_environment
  from tf_agents.policies import actor_policy
  from tf_agents.policies import policy_saver
  from tf_agents.policies import py_tf_eager_policy
  from tf_agents.policies import random_tf_policy
  from tf_agents.specs import array_spec
  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 nest_utils
  from tf_agents.utils import test_utils
label_desc: Use image node_id 5 for calling the PyTFEagerPolicyTest obj's underlying member method code with example usage: obj.testRandomTFPolicyCompatibility() without return types