code: def record(
      fn: Callable[..., T], error_handler: Optional[ErrorHandler] = None
  ) -> Callable[..., T]:
      """
      Syntactic sugar to record errors/exceptions that happened in the decorated
      function using the provided ``error_handler``.
  
      Using this decorator is equivalent to:
  
      ::
  
       error_handler = get_error_handler()
       error_handler.initialize()
       try:
          foobar()
       except ChildFailedError as e:
          _, failure = e.get_first_failure()
          error_handler.dump_error_file(failure.error_file, failure.exitcode)
          raise
       except Exception as e:
          error_handler.record(e)
          raise
  
      .. important:: use this decorator once per process at the top level method,
                     typically this is the main method.
  
      Example
  
      ::
  
       @record
       def main():
           pass
  
       if __name__=="__main__":
          main()
  
      """
      if not error_handler:
          error_handler = get_error_handler()
  
      def wrap(f):
          @wraps(f)
          def wrapper(*args, **kwargs):
              assert (
                  error_handler is not None
              )  # assertion for mypy type checker
              error_handler.initialize()
              try:
                  return f(*args, **kwargs)
              except ChildFailedError as e:
                  rank, failure = e.get_first_failure()
                  if failure.error_file != _NOT_AVAILABLE:
                      error_handler.dump_error_file(
                          failure.error_file, failure.exitcode
                      )
                  else:
                      log.info(
                          (
                              "local_rank %s FAILED with no error file."
                              " Decorate your entrypoint fn with @record for traceback info."
                              " See: https://pytorch.org/docs/stable/elastic/errors.html",
                              rank,
                          )
                      )
                  raise
              except Exception as e:
                  error_handler.record_exception(e)
                  raise
  
          return wrapper
  
      return wrap(fn)
  
imports: import json
  import os
  import signal
  import socket
  import time
  import warnings
  from dataclasses import dataclass, field
  from datetime import datetime
  from functools import wraps
  from string import Template
  from typing import Any, Callable, Dict, List, Optional, Tuple, TypeVar
  from torch.distributed.elastic.utils.logging import get_logger
  from .error_handler import ErrorHandler
  from .handlers import get_error_handler
label_desc: Use image node_id 1 for calling a global function with example usage: record(fn, error_handler) and returns: wrap, wrapper, f