code: def _copy_recursive(src_dir, dst_dir):
      for subdir, _, filenames in tf.io.gfile.walk(src_dir):
          out_dir = os.path.join(
              dst_dir, os.path.relpath(subdir, start=src_dir)
          )
          tf.io.gfile.makedirs(out_dir)
          for filename in filenames:
              tf.io.gfile.copy(
                  os.path.join(subdir, filename),
                  os.path.join(out_dir, filename),
              )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import functools
  import os
  from absl import logging
  from absl.testing import parameterized
  import numpy
  from six.moves import range
  import tensorflow
  from tf_agents.agents.behavioral_cloning import behavioral_cloning_agent
  from tf_agents.environments import suite_gym
  from tf_agents.environments import tf_py_environment
  from tf_agents.keras_layers import inner_reshape
  from tf_agents.networks import sequential
  from tf_agents.specs import tensor_spec
  from tf_agents.system import system_multiprocessing
  from tf_agents.train import learner
  from tf_agents.train.utils import test_utils
  from tf_agents.train.utils import train_utils
  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 3 for calling a global function with example usage: _copy_recursive(src_dir, dst_dir) without return types