code: def _retry(method, max_tries=5, backoff_s=1):
      """Retry decorator for methods of GCPNodeProvider.
  
      Upon catching BrokenPipeError, API clients are rebuilt and
      decorated methods are retried.
  
      Work-around for https://github.com/ray-project/ray/issues/16072.
      Based on https://github.com/kubeflow/pipelines/pull/5250/files.
      """
  
      @wraps(method)
      def method_with_retries(self, *args, **kwargs):
          try_count = 0
          while try_count < max_tries:
              try:
                  return method(self, *args, **kwargs)
              except BrokenPipeError:
                  logger.warning("Caught a BrokenPipeError. Retrying.")
                  try_count += 1
                  if try_count < max_tries:
                      self._construct_clients()
                      time.sleep(backoff_s)
                  else:
                      raise
  
      return method_with_retries
  
imports: import copy
  import logging
  import time
  from functools import wraps
  from threading import RLock
  from types import ModuleType
  from typing import Any, Dict, List, Optional, Tuple
  import googleapiclient
  from ray.autoscaler._private.gcp.config import bootstrap_gcp, construct_clients_from_provider_config, get_node_type, tpu_accelerator_config_to_type
  from ray.autoscaler._private.gcp.node import GCPTPU
  from ray.autoscaler._private.gcp.node import GCPCompute, GCPNode, GCPNodeType, GCPResource
  from ray.autoscaler._private.gcp.tpu_command_runner import TPUCommandRunner
  from ray.autoscaler.command_runner import CommandRunnerInterface
  from ray.autoscaler.node_provider import NodeProvider
label_desc: Use image node_id 1 for calling a global function with example usage: _retry(method, max_tries, backoff_s) and returns: method_with_retries, method