code: def generate_executor_dag_driver_deployment(
      serve_executor_dag_root_node: DAGNode,
      original_driver_deployment: Deployment,
  ):
      """Given a transformed minimal execution serve dag, and original DAGDriver
      deployment, generate new DAGDriver deployment that uses new serve executor
      dag as init_args.
  
      Args:
          serve_executor_dag_root_node: Transformed
              executor serve dag with only barebone deployment handles.
          original_driver_deployment: User's original DAGDriver
              deployment that wrapped Ray DAG as init args.
      Returns:
          executor_dag_driver_deployment: New DAGDriver deployment
              with executor serve dag as init args.
      """
  
      def replace_with_handle(node):
          if isinstance(node, DeploymentExecutorNode):
              return node._deployment_handle
          elif isinstance(node, DeploymentFunctionExecutorNode):
              assert (
                  len(node.get_args()) == 0
                  and len(node.get_kwargs()) == 0
              )
              return node._deployment_function_handle
  
      (
          replaced_deployment_init_args,
          replaced_deployment_init_kwargs,
      ) = serve_executor_dag_root_node.apply_functional(
          [
              serve_executor_dag_root_node.get_args(),
              serve_executor_dag_root_node.get_kwargs(),
          ],
          predictate_fn=lambda node: isinstance(
              node,
              (
                  DeploymentExecutorNode,
                  DeploymentFunctionExecutorNode,
              ),
          ),
          apply_fn=replace_with_handle,
      )
  
      return original_driver_deployment.options(
          _init_args=replaced_deployment_init_args,
          _init_kwargs=replaced_deployment_init_kwargs,
          _internal=True,
      )
  
imports: import inspect
  from collections import OrderedDict
  from typing import List
  from ray.dag import ClassNode, DAGNode
  from ray.dag.function_node import FunctionNode
  from ray.dag.utils import _DAGNodeNameGenerator
  from ray.experimental.gradio_utils import type_to_string
  from ray.serve._private.constants import RAY_SERVE_ENABLE_NEW_HANDLE_API, SERVE_DEFAULT_APP_NAME
  from ray.serve._private.deployment_executor_node import DeploymentExecutorNode
  from ray.serve._private.deployment_function_executor_node import DeploymentFunctionExecutorNode
  from ray.serve._private.deployment_function_node import DeploymentFunctionNode
  from ray.serve._private.deployment_node import DeploymentNode
  from ray.serve.deployment import Deployment, schema_to_deployment
  from ray.serve.handle import DeploymentHandle, RayServeHandle
  from ray.serve.schema import DeploymentSchema
label_desc: Use image node_id 6 for calling a global function with example usage: generate_executor_dag_driver_deployment(serve_executor_dag_root_node, original_driver_deployment) and returns: original_driver_deployment, node, node