





import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


__A							   =							logging.get_logger(__name__)



class   _SCREAMING_SNAKE_CASE		(      __SCREAMING_SNAKE_CASE       ):







 '''simple docstring'''

 def __init__(self							:  Optional[int]			,					*UpperCAmelCase_							:  List[str]			,					**UpperCAmelCase_							:  Tuple)			->None:



   '''simple docstring'''



   warnings.warn(
       "The class LayoutLMv2FeatureExtractor is deprecated and will be removed in version 5 of Transformers."
       " Please use LayoutLMv2ImageProcessor instead."			,					UpperCAmelCase_			,					)
   super().__init__(*UpperCAmelCase_			,					**UpperCAmelCase_)


def 	__A		(      _A				,					_A       ):



 """simple docstring"""


 return x if y == 0 else greatest_common_divisor(_A				,					x % y       )



def 	__A		(      _A				,					_A       ):



 """simple docstring"""


 return (x * y) // greatest_common_divisor(_A				,					_A       )



def 	__A		(      _A = 20       ):



 """simple docstring"""


 __a							=	1
 for i in range(1				,					n + 1       ):
  __a							=	lcm(_A				,					_A       )
 return g


if __name__ == "__main__":
  print(f'''{solution() = }''')


