code: def testRenameSpecWithNestPaths(self):
      time_step_spec = self._time_step_spec._replace(
          observation=[
              tensor_spec.TensorSpec(
                  dtype=tf.float32,
                  shape=(4,),
                  name="obs1",
              ),
              tensor_spec.TensorSpec(
                  dtype=tf.float32,
                  shape=(4,),
                  name="obs1",
              ),
          ]
      )
  
      renamed_spec = policy_saver.rename_spec_with_nest_paths(
          time_step_spec
      )
  
      new_names = [s.name for s in tf.nest.flatten(renamed_spec)]
      self.assertAllEqual(
          [
              "step_type",
              "reward",
              "discount",
              "observation/0",
              "observation/1",
          ],
          new_names,
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import os
  import shutil
  from absl.testing import parameterized
  import numpy
  import tensorflow
  import tensorflow_probability
  from tf_agents.networks import actor_distribution_network
  from tf_agents.networks import q_network
  from tf_agents.networks import q_rnn_network
  from tf_agents.policies import actor_policy
  from tf_agents.policies import policy_saver
  from tf_agents.policies import q_policy
  from tf_agents.policies import tf_policy
  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
  from tf_agents.utils import test_utils
label_desc: Use image node_id 10 for calling the PolicySaverTest obj's underlying member method code with example usage: obj.testRenameSpecWithNestPaths() without return types