
import decimal
def       UpperCAmelCase__							(    ):


					'''simple docstring'''

					lowerCAmelCase						:   Optional[int]							=       0
					lowerCAmelCase						:   Optional[int]							=       decimal.Context(prec=1_05					)
					for i in range(2							,					1_00					):
										lowerCAmelCase						:   Tuple							=       decimal.Decimal(__magic_name__					)
										lowerCAmelCase						:   Union[str, Any]							=       number.sqrt(__magic_name__					)
										if len(str(__magic_name__					)					) > 1:
															answer += int(str(__magic_name__					)[0]					)
															lowerCAmelCase						:   int							=       str(__magic_name__					)[2:1_01]
															answer += sum(int(__magic_name__					) for x in sqrt_number_str					)
					return answer


if __name__ == "__main__":
		import doctest

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


import warnings

from ...utils import logging
from .image_processing_conditional_detr import ConditionalDetrImageProcessor


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


class 						__magic_name__				(  snake_case      ):





		def __init__(							self      :		str  ,					*lowerCamelCase__      :		Dict  ,					**lowerCamelCase__      :		int			):
							warnings.warn(
							    '''The class ConditionalDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
							    ''' Please use ConditionalDetrImageProcessor instead.'''  ,					lowerCamelCase__  ,					)
							super().__init__(*lowerCamelCase__  ,					**lowerCamelCase__			)
