import warnings

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


UpperCAmelCase_			    =							logging.get_logger(__name__)




class  __magic_name__  (		lowerCamelCase__    ):





   """simple docstring"""




   def __init__(	self					:  str		,  *_lowercase					:  List[str]		,  **_lowercase					:  List[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							)
def       lowerCAmelCase_     (		lowercase:							int = 600_851_475_143		)    ->				int:







 '''simple docstring'''

 try:
  _UpperCamelCase:     Optional[int]							= int(lowercase		)
 except (TypeError, ValueError):
  raise TypeError('''Parameter n must be int or castable to int.'''		)
 if n <= 0:
  raise ValueError('''Parameter n must be greater than or equal to one.'''		)
 _UpperCamelCase:     Dict							= 1
 _UpperCamelCase:     Tuple							= 2
 while i * i <= n:
  while n % i == 0:
   _UpperCamelCase:     List[Any]							= i
   n //= i
  i += 1
 if n > 1:
  _UpperCamelCase:     Any							= n
 return int(lowercase		)


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