





import warnings

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


A   : List[Any]			=				logging.get_logger(__name__)


class   A      (SCREAMING_SNAKE_CASE   ):
			'''simple docstring'''




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







					"""simple docstring"""






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










def        __lowerCamelCase (							__a       :int = 3   ,					__a       :int = 7   ,					__a       :int = 1_0_0_0_0_0_0   )		->    int:






		"""simple docstring"""

		A__  				=       0
		A__  				=       1

		for current_denominator in range(1   ,					limit + 1   ):
				A__  				=       current_denominator * numerator // denominator
				if current_denominator % denominator == 0:
						current_numerator -= 1
				if current_numerator * max_denominator > current_denominator * max_numerator:
						A__  				=       current_numerator
						A__  				=       current_denominator
		return max_numerator


if __name__ == "__main__":
					print(solution(numerator=3, denominator=7, limit=1_0_0_0_0_0_0))



