code: def set_node_tags(self, node_id: str, tags: Dict[str, str]) -> None:
      is_batching_thread = False
      with self.tag_cache_lock:
          if not self.tag_cache_pending:
              is_batching_thread = True
              # Wait for threads in the last batch to exit
              self.ready_for_new_batch.wait()
              self.ready_for_new_batch.clear()
              self.batch_update_done.clear()
          self.tag_cache_pending[node_id].update(tags)
  
      if is_batching_thread:
          time.sleep(TAG_BATCH_DELAY)
          with self.tag_cache_lock:
              self._update_node_tags()
              self.batch_update_done.set()
  
      with self.count_lock:
          self.batch_thread_count += 1
      self.batch_update_done.wait()
  
      with self.count_lock:
          self.batch_thread_count -= 1
          if self.batch_thread_count == 0:
              self.ready_for_new_batch.set()
  
imports: import logging
  import random
  import threading
  import time
  from collections import defaultdict
  from typing import Any, Dict, List, Optional
  from ray.autoscaler._private.aliyun.config import PENDING, RUNNING, STOPPED, STOPPING, bootstrap_aliyun
  from ray.autoscaler._private.aliyun.utils import AcsClient
  from ray.autoscaler._private.cli_logger import cli_logger
  from ray.autoscaler._private.constants import BOTO_MAX_RETRIES
  from ray.autoscaler._private.log_timer import LogTimer
  from ray.autoscaler.node_provider import NodeProvider
  from ray.autoscaler.tags import TAG_RAY_CLUSTER_NAME, TAG_RAY_LAUNCH_CONFIG, TAG_RAY_NODE_KIND, TAG_RAY_NODE_NAME, TAG_RAY_NODE_STATUS, TAG_RAY_USER_NODE_TYPE
label_desc: Use image node_id 8 for calling the AliyunNodeProvider obj's underlying member method code with example usage: obj.set_node_tags(node_id, tags) without return types