


"""simple docstring"""






def        A_					(					UpperCAmelCase__ = 400_0000				)     ->     Tuple:






   if n <= 1:
      return 0
   a   :	int						=    0
   a   :	Any						=    2
   a   :	Optional[int]						=    0
   while 4 * b + a <= n:
      a	, a   :	Any						=    b, 4 * b + a
      count += a
   return count + b


if __name__ == "__main__":
 print(F'{solution() = }')













"""simple docstring"""

import warnings

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


lowercase           =							logging.get_logger(__name__)

class     A_				(   snake_case_	):







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



