code: def is_flaky(
      max_attempts: int = 5,
      wait_before_retry: Optional[float] = None,
      description: Optional[str] = None,
  ):
      """
      To decorate flaky tests. They will be retried on failures.
  
      Args:
          max_attempts (`int`, *optional*, defaults to 5):
              The maximum number of attempts to retry the flaky test.
          wait_before_retry (`float`, *optional*):
              If provided, will wait that number of seconds before retrying the test.
          description (`str`, *optional*):
              A string to describe the situation (what / where / why is flaky, link to GH issue/PR comments, errors,
              etc.)
      """
  
      def decorator(test_func_ref):
          @functools.wraps(test_func_ref)
          def wrapper(*args, **kwargs):
              retry_count = 1
  
              while retry_count < max_attempts:
                  try:
                      return test_func_ref(*args, **kwargs)
  
                  except Exception as err:
                      print(
                          f"Test failed with {err} at try {retry_count}/{max_attempts}.",
                          file=sys.stderr,
                      )
                      if wait_before_retry is not None:
                          time.sleep(wait_before_retry)
                      retry_count += 1
  
              return test_func_ref(*args, **kwargs)
  
          return wrapper
  
      return decorator
  
imports: import functools
  import importlib
  import inspect
  import io
  import logging
  import multiprocessing
  import os
  import random
  import re
  import struct
  import sys
  import tempfile
  import time
  import unittest
  import urllib.parse
  from contextlib import contextmanager
  from distutils.util import strtobool
  from io import BytesIO, StringIO
  from pathlib import Path
  from typing import List, Optional, Union
  import numpy
  import PIL.Image
  import PIL.ImageOps
  import requests
  from numpy.linalg import norm
  from packaging import version
  from .import_utils import BACKENDS_MAPPING, is_compel_available, is_flax_available, is_note_seq_available, is_onnx_available, is_opencv_available, is_peft_available, is_torch_available, is_torch_version, is_torchsde_available, is_transformers_available
  from .logging import get_logger
label_desc: Use image node_id 33 for calling a global function with example usage: is_flaky(max_attempts, wait_before_retry, description) and returns: decorator, wrapper, test_func_ref, test_func_ref