code: def rename_spec_with_nest_paths(spec):
      renamed_spec = [
          tf.TensorSpec(shape=s.shape, name=path, dtype=s.dtype)
          for path, s in nest_utils.flatten_with_joined_paths(spec)
      ]
      return tf.nest.pack_sequence_as(spec, renamed_spec)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import copy
  import functools
  import os
  from typing import Any, Callable, Dict, Tuple, Optional, Text, cast, Sequence
  from absl import logging
  import tensorflow
  import tensorflow_probability
  from tf_agents.policies import tf_policy
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.typing import types
  from tf_agents.utils import common
  from tf_agents.utils import nest_utils
  from tensorflow.python.eager import def_function
label_desc: Use image node_id 2 for calling a global function with example usage: rename_spec_with_nest_paths(spec) and returns: tf