code: def _should_create_new_head(
      head_node_id: Optional[str],
      new_launch_hash: str,
      new_head_node_type: str,
      provider: NodeProvider,
  ) -> bool:
      """Decides whether a new head node needs to be created.
  
      We need a new head if at least one of the following holds:
      (a) There isn't an existing head node
      (b) The user-submitted head node_config differs from the existing head
          node's node_config.
      (c) The user-submitted head node_type key differs from the existing head
          node's node_type.
  
      Args:
          head_node_id (Optional[str]): head node id if a head exists, else None
          new_launch_hash: hash of current user-submitted head config
          new_head_node_type: current user-submitted head node-type key
  
      Returns:
          bool: True if a new Ray head node should be launched, False otherwise
      """
      if not head_node_id:
          # No head node exists, need to create it.
          return True
  
      # Pull existing head's data.
      head_tags = provider.node_tags(head_node_id)
      current_launch_hash = head_tags.get(TAG_RAY_LAUNCH_CONFIG)
      current_head_type = head_tags.get(TAG_RAY_USER_NODE_TYPE)
  
      # Compare to current head
      hashes_mismatch = new_launch_hash != current_launch_hash
      types_mismatch = new_head_node_type != current_head_type
  
      new_head_required = hashes_mismatch or types_mismatch
  
      # Warn user
      if new_head_required:
          with cli_logger.group(
              "Currently running head node is out-of-date with cluster configuration"
          ):
              if hashes_mismatch:
                  cli_logger.print(
                      "Current hash is {}, expected {}",
                      cf.bold(current_launch_hash),
                      cf.bold(new_launch_hash),
                  )
  
              if types_mismatch:
                  cli_logger.print(
                      "Current head node type is {}, expected {}",
                      cf.bold(current_head_type),
                      cf.bold(new_head_node_type),
                  )
  
      return new_head_required
  
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 13 for calling a global function with example usage: _should_create_new_head(head_node_id, new_launch_hash, new_head_node_type, provider) and returns: new_head_required, True