



def 				SCREAMING_SNAKE_CASE__							(       UpperCamelCase__:							str = 1					,   UpperCamelCase__:							Optional[Any] = 1_000    ):
		SCREAMING_SNAKE_CASE__			=      1
		SCREAMING_SNAKE_CASE__			=      0

		for divide_by_number in range(lowerCAmelCase_					,   digit + 1    ):
				SCREAMING_SNAKE_CASE__			=      []
				SCREAMING_SNAKE_CASE__			=      numerator
				for _ in range(1					,   digit + 1    ):
						if now_divide in has_been_divided:
								if longest_list_length < len(lowerCAmelCase_    ):
										SCREAMING_SNAKE_CASE__			=      len(lowerCAmelCase_    )
										SCREAMING_SNAKE_CASE__			=      divide_by_number
						else:
								has_been_divided.append(lowerCAmelCase_    )
								SCREAMING_SNAKE_CASE__			=      now_divide * 10 % divide_by_number

		return the_digit


# Tests
if __name__ == "__main__":
	import doctest

	doctest.testmod()






import warnings

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


_lowerCamelCase   				=			logging.get_logger(__name__)




class   UpperCamelCase_       (     UpperCamelCase__    ):


							def __init__(							self    :List[Any]							,				*__A    :Tuple							,				**__A    :Dict		)   ->   None:



									"""simple docstring"""



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