code: def fast_map_structure(func, *structure):
      flat_structure = [tf.nest.flatten(s) for s in structure]
      entries = zip(*flat_structure)
  
      return tf.nest.pack_sequence_as(
          structure[0], [func(*x) for x in entries]
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from absl import flags
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tf_agents.networks import network
  from tf_agents.policies import actor_policy
  from tf_agents.policies import ou_noise_policy
  from tf_agents.policies import py_tf_policy
  from tf_agents.policies import q_policy
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.utils import test_utils
label_desc: Use image node_id 1 for calling a global function with example usage: fast_map_structure(func) and returns: tf