


'''simple docstring'''






def 	_A				(lowerCAmelCase__  :Any				,						lowerCAmelCase__  :Dict		)   ->  Optional[int]:




     '''simple docstring'''



     _a			      =							[1]
     for i in range(2				,						lowerCAmelCase__		):
          factorials.append(factorials[-1] * i		)
     assert 0 <= k < factorials[-1] * n, "k out of bounds"

     _a			      =							[]
     _a			      =							list(range(lowerCAmelCase__		)		)

     # Find permutation
     while factorials:
          _a			      =							factorials.pop()
          _a      ,   _a			      =							divmod(lowerCAmelCase__				,						lowerCAmelCase__		)
          permutation.append(elements[number]		)
          elements.remove(elements[number]		)
     permutation.append(elements[0]		)

     return permutation


if __name__ == "__main__":
 import doctest

 doctest.testmod()





'''simple docstring'''






import warnings

from ...utils import logging
from .image_processing_donut import DonutImageProcessor


a_					:    Optional[Any]          =    logging.get_logger(__name__)




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

