


"""simple docstring"""






from math import sqrt




def        A_					(					UpperCAmelCase__				)     ->     str:
   a   :	Tuple						=    [1]
   for i in range(2       ,   int(sqrt(UpperCAmelCase__				)				) + 1       ,   1				):
      if number % i == 0:
         values.append(UpperCAmelCase__				)
         if int(number // i				) != i:
            values.append(int(number // i				)				)
   return sorted(UpperCAmelCase__				)




def        A_					(					UpperCAmelCase__				)     ->     str:
   return sum(factors(UpperCAmelCase__				)				) > n




def        A_					(					UpperCAmelCase__				)     ->     int:
   a   :	List[Any]						=    factors(UpperCAmelCase__				)
   a   :	Union[str, Any]						=    len(UpperCAmelCase__				)
   a   :	Dict						=    [[0 for i in range(number + 1				)] for j in range(r + 1				)]
   for i in range(r + 1				):
      a   :	Tuple						=    True

   for i in range(1       ,   number + 1				):
      a   :	Optional[Any]						=    False

   for i in range(1       ,   r + 1				):
      for j in range(1       ,   number + 1				):
         if j < values[i - 1]:
            a   :	int						=    subset[i - 1][j]
         else:
            a   :	Optional[Any]						=    subset[i - 1][j] or subset[i - 1][j - values[i - 1]]

   return subset[r][number] != 0




def        A_					(					UpperCAmelCase__				)     ->     Tuple:
   return abundant(UpperCAmelCase__				) and not semi_perfect(UpperCAmelCase__				)


if __name__ == "__main__":
 import doctest

 doctest.testmod(verbose=True)
 for number in (69, 70, 71):
  print(F'{number} is {"" if weird(number) else "not "}weird.')










'''simple docstring'''







import warnings

from ...utils import logging
from .image_processing_maskformer import MaskFormerImageProcessor


SCREAMING_SNAKE_CASE__     : Dict				=   logging.get_logger(__name__)




class 				__lowerCAmelCase(							lowerCAmelCase__      ):






			def __init__(   self  :							List[Any]      ,       *SCREAMING_SNAKE_CASE  :							int      ,       **SCREAMING_SNAKE_CASE  :							Optional[int]	):




					"""simple docstring"""







					warnings.warn(
					    'The class MaskFormerFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
					    ' Please use MaskFormerImageProcessor instead.'      ,       SCREAMING_SNAKE_CASE      ,       )
					super().__init__(*SCREAMING_SNAKE_CASE      ,       **SCREAMING_SNAKE_CASE	)
