

import warnings

from ...utils import logging
from .image_processing_levit import LevitImageProcessor


a_         =      logging.get_logger(__name__)






class _UpperCamelCase							(							__A				):
			'''simple docstring'''







			def __init__(     self							:	List[str] , *a							:	List[str] , **a							:	List[str]		)							->    None:

				"""simple docstring"""

				warnings.warn(
				    "The class LevitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
				    " use LevitImageProcessor instead." , a , )
				super().__init__(*a , **a		)


import re

def 	lowerCamelCase__	(   _a):
	def docstring_decorator(_a):
		SCREAMING_SNAKE_CASE				: List[Any]			       =    fn.__doc__
		SCREAMING_SNAKE_CASE				: List[str]			       =    func_doc.split("\n")
		SCREAMING_SNAKE_CASE				: Dict			       =    0
		while i < len(_a) and re.search(r"^\s*Examples?:\s*$"							,     lines[i]) is None:
			i += 1
		if i < len(_a):
			SCREAMING_SNAKE_CASE				: Tuple			       =    example_docstring
			SCREAMING_SNAKE_CASE				: List[Any]			       =    "\n".join(_a)
		else:
			raise ValueError(
			    f"The function {fn} should have an empty 'Examples:' in its docstring as placeholder, "
			    f"current docstring is:\n{func_doc}")
		SCREAMING_SNAKE_CASE				: Optional[int]			       =    func_doc
		return fn

	return docstring_decorator