

"""simple docstring"""



import warnings

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


SCREAMING_SNAKE_CASE_					:	Optional[int]							  =						logging.get_logger(__name__)



class 					a						(       lowerCamelCase__				):



    """simple docstring"""



    def __init__(     self: str    ,						*UpperCamelCase: int    ,						**UpperCamelCase: Optional[Any]       ):






         """simple docstring"""


         warnings.warn(
             """The class DonutFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
             """ use DonutImageProcessor instead."""    ,						__lowerCamelCase    ,						)
         super().__init__(*__lowerCamelCase    ,						**__lowerCamelCase       )








"""simple docstring"""



import math
import sys





def  _snake_case     (    UpperCAmelCase_  :					int			):
     if number != int(UpperCAmelCase_			):
          raise ValueError("""the value of input must be a natural number"""			)
     if number < 0:
          raise ValueError("""the value of input must not be a negative number"""			)
     if number == 0:
          return 1
     A__										=  [-1] * (number + 1)
     A__										=  0
     for i in range(1					,   number + 1			):
          A__										=  sys.maxsize
          A__										=  int(math.sqrt(UpperCAmelCase_			)			)
          for j in range(1					,   root + 1			):
               A__										=  1 + answers[i - (j**2)]
               A__										=  min(UpperCAmelCase_					,   UpperCAmelCase_			)
          A__										=  answer
     return answers[number]


if __name__ == "__main__":
 import doctest

 doctest.testmod()






