

import warnings

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


_lowerCamelCase								=logging.get_logger(__name__)



class 		a_	(							lowerCamelCase_					):



      """simple docstring"""







      def __init__(				self					:							Dict      ,*snake_case					:							Dict      ,**snake_case					:							Optional[Any]    ):
           warnings.warn(
               'The class LayoutLMv3FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
               ' Please use LayoutLMv3ImageProcessor instead.'      ,snake_case      ,)
           super().__init__(*snake_case      ,**snake_case    )




import decimal







def       snake_case__    (       ):





     """simple docstring"""







     SCREAMING_SNAKE_CASE										=0
     SCREAMING_SNAKE_CASE										=decimal.Context(prec=105      )
     for i in range(2,   100      ):
          SCREAMING_SNAKE_CASE										=decimal.Decimal(lowerCAmelCase_      )
          SCREAMING_SNAKE_CASE										=number.sqrt(lowerCAmelCase_      )
          if len(str(lowerCAmelCase_      )      ) > 1:
               answer += int(str(lowerCAmelCase_      )[0]      )
               SCREAMING_SNAKE_CASE										=str(lowerCAmelCase_      )[2:101]
               answer += sum(int(lowerCAmelCase_      ) for x in sqrt_number_str      )
     return answer


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 print(f'{solution() = }')

