


'''simple docstring'''






from itertools import count






def 	_A				(lowerCAmelCase__  :int = 50		)   ->  int:




     '''simple docstring'''



     _a			      =							[1] * min_block_length

     for n in count(lowerCAmelCase__		):
          fill_count_functions.append(1		)

          for block_length in range(lowerCAmelCase__				,						n + 1		):
               for block_start in range(n - block_length		):
                    fill_count_functions[n] += fill_count_functions[
                        n - block_start - block_length - 1
                    ]

               fill_count_functions[n] += 1

          if fill_count_functions[n] > 1_00_00_00:
               break

     return n


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





'''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__						)

