





from math import sqrt




def 			lowerCAmelCase_			(				UpperCamelCase_	)  ->		list[int]:
       UpperCamelCase_ 							=	[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 			lowerCAmelCase_			(				UpperCamelCase_	)  ->		bool:
       return sum(factors(UpperCamelCase_	)	) > n




def 			lowerCAmelCase_			(				UpperCamelCase_	)  ->		bool:
       UpperCamelCase_ 							=	factors(UpperCamelCase_	)
       UpperCamelCase_ 							=	len(UpperCamelCase_	)
       UpperCamelCase_ 							=	[[0 for i in range(number + 1	)] for j in range(r + 1	)]
       for i in range(r + 1	):
              UpperCamelCase_ 							=	True

       for i in range(1       ,		number + 1	):
              UpperCamelCase_ 							=	False

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

       return subset[r][number] != 0




def 			lowerCAmelCase_			(				UpperCamelCase_	)  ->		bool:
       return abundant(UpperCamelCase_	) and not semi_perfect(UpperCamelCase_	)


if __name__ == "__main__":
     import doctest

     doctest.testmod(verbose=True)
     for number in (6_9, 7_0, 7_1):
          print(f'''{number} is {'' if weird(number) else 'not '}weird.''')








import warnings

from ...utils import logging
from .image_processing_detr import DetrImageProcessor


_UpperCamelCase       :				Tuple           =			logging.get_logger(__name__)







class 		_lowerCAmelCase(		_a):

  """simple docstring"""







  def __init__(   self    ,							*UpperCAmelCase    ,							**UpperCAmelCase      )->   None:
     warnings.warn(
         '''The class DetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
         ''' Please use DetrImageProcessor instead.'''    ,							UpperCAmelCase    ,							)
     super().__init__(*UpperCAmelCase    ,							**UpperCAmelCase      )

