code: def get_policy_info_test_fn(
      current_step: Dict[str, tf.Tensor],
      next_step: Dict[str, tf.Tensor],
  ) -> Dict[str, tf.Tensor]:
      """Returns policy info for test function for policy info tests."""
      del next_step  # unused
      return {rlds_types.ACTION: current_step[rlds_types.ACTION]}
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from typing import Dict, List, Tuple
  from absl.testing import parameterized
  import reverb
  from rlds import rlds_types
  import tensorflow
  from tf_agents.replay_buffers import reverb_replay_buffer
  from tf_agents.replay_buffers import reverb_utils
  from tf_agents.replay_buffers import rlds_to_reverb
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import trajectory
  from tf_agents.utils import test_utils
label_desc: Use image node_id 3 for calling a global function with example usage: get_policy_info_test_fn(current_step, next_step) and returns: dict