code: def _set_up_config_for_head_node(
      config: Dict[str, Any], provider: NodeProvider, no_restart: bool
  ) -> Tuple[Dict[str, Any], Any]:
      """Prepares autoscaling config and, if needed, ssh key, to be mounted onto
      the Ray head node for use by the autoscaler.
  
      Returns the modified config and the temporary config file that will be
      mounted onto the head node.
      """
      # Rewrite the auth config so that the head
      # node can update the workers
      remote_config = copy.deepcopy(config)
  
      # drop proxy options if they exist, otherwise
      # head node won't be able to connect to workers
      remote_config["auth"].pop("ssh_proxy_command", None)
  
      # Drop the head_node field if it was introduced. It is technically not a
      # valid field in the config, but it may have been introduced after
      # validation (see _bootstrap_config() call to
      # provider_cls.bootstrap_config(config)). The head node will never try to
      # launch a head node so it doesn't need these defaults.
      remote_config.pop("head_node", None)
  
      if "ssh_private_key" in config["auth"]:
          remote_key_path = "~/ray_bootstrap_key.pem"
          remote_config["auth"]["ssh_private_key"] = remote_key_path
  
      # Adjust for new file locations
      new_mounts = {}
      for remote_path in config["file_mounts"]:
          new_mounts[remote_path] = remote_path
      remote_config["file_mounts"] = new_mounts
      remote_config["no_restart"] = no_restart
  
      remote_config = provider.prepare_for_head_node(remote_config)
  
      # Now inject the rewritten config and SSH key into the head node
      remote_config_file = tempfile.NamedTemporaryFile(
          "w", prefix="ray-bootstrap-"
      )
      remote_config_file.write(json.dumps(remote_config))
      remote_config_file.flush()
      config["file_mounts"].update(
          {"~/ray_bootstrap_config.yaml": remote_config_file.name}
      )
  
      if "ssh_private_key" in config["auth"]:
          config["file_mounts"].update(
              {
                  remote_key_path: config["auth"]["ssh_private_key"],
              }
          )
  
      return config, remote_config_file
  
imports: import copy
  import datetime
  import hashlib
  import json
  import logging
  import os
  import random
  import shutil
  import subprocess
  import sys
  import tempfile
  import time
  from concurrent.futures import ThreadPoolExecutor
  from types import ModuleType
  from typing import Any, Dict, List, Optional, Tuple, Union
  import click
  import yaml
  import ray
  from ray._private.usage import usage_lib
  from ray.autoscaler._private import subprocess_output_util
  from ray.autoscaler._private.autoscaler import AutoscalerSummary
  from ray.autoscaler._private.cli_logger import cf, cli_logger
  from ray.autoscaler._private.cluster_dump import Archive, GetParameters, Node, _info_from_params, create_archive_for_local_and_remote_nodes, create_archive_for_remote_nodes, get_all_local_data
  from ray.autoscaler._private.command_runner import set_rsync_silent, set_using_login_shells
  from ray.autoscaler._private.constants import AUTOSCALER_RESOURCE_REQUEST_CHANNEL, MAX_PARALLEL_SHUTDOWN_WORKERS
  from ray.autoscaler._private.event_system import CreateClusterEvent, global_event_system
  from ray.autoscaler._private.log_timer import LogTimer
  from ray.autoscaler._private.node_provider_availability_tracker import NodeAvailabilitySummary
  from ray.autoscaler._private.providers import _NODE_PROVIDERS, _PROVIDER_PRETTY_NAMES, _get_node_provider
  from ray.autoscaler._private.updater import NodeUpdaterThread
  from ray.autoscaler._private.util import LoadMetricsSummary, format_info_string, hash_launch_conf, hash_runtime_conf, prepare_config, validate_config
  from ray.autoscaler.node_provider import NodeProvider
  from ray.autoscaler.tags import NODE_KIND_HEAD, NODE_KIND_WORKER, STATUS_UNINITIALIZED, STATUS_UP_TO_DATE, TAG_RAY_LAUNCH_CONFIG, TAG_RAY_NODE_KIND, TAG_RAY_NODE_NAME, TAG_RAY_NODE_STATUS, TAG_RAY_USER_NODE_TYPE
  from ray.experimental.internal_kv import _internal_kv_put, internal_kv_get_gcs_client
  from ray.util.debug import log_once
label_desc: Use image node_id 14 for calling a global function with example usage: _set_up_config_for_head_node(config, provider, no_restart) and returns: config,  remote_config_file