
def 		UpperCamelCase     (       _UpperCAmelCase  :   int = 3 ,			_UpperCAmelCase  :   int = 7 ,			_UpperCAmelCase  :   int = 100_0000  )   ->			int:






						'''simple docstring'''

						_lowercase       :	List[Any]           =   0
						_lowercase       :	Optional[int]           =   1

						for current_denominator in range(1 ,			limit + 1  ):
												_lowercase       :	Dict           =   current_denominator * numerator // denominator
												if current_denominator % denominator == 0:
																		current_numerator -= 1
												if current_numerator * max_denominator > current_denominator * max_numerator:
																		_lowercase       :	Optional[Any]           =   current_numerator
																		_lowercase       :	Optional[Any]           =   current_denominator
						return max_numerator


if __name__ == "__main__":
							print(solution(numerator=3, denominator=7, limit=100_0000))






import warnings

from ...utils import logging
from .image_processing_flava import FlavaImageProcessor


UpperCamelCase_						:     List[str]	       =							logging.get_logger(__name__)




class   __lowercase						(						__snake_case       ):






	def __init__(self				: int      ,	*snake_case				: Optional[Any]      ,	**snake_case				: Optional[Any]    ) ->			None:
							warnings.warn(
							    "The class FlavaFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
							    " use FlavaImageProcessor instead."      ,	snake_case      ,	)
							super().__init__(*snake_case      ,	**snake_case    )




