
from __future__ import annotations


def 			UpperCamelCase					(    __lowerCamelCase     : float				,					__lowerCamelCase     : float				,					__lowerCamelCase     : float				,					):



       if (stress, tangential_force, area).count(0    ) != 1:
              raise ValueError("You cannot supply more or less than 2 values"    )
       elif stress < 0:
              raise ValueError("Stress cannot be negative"    )
       elif tangential_force < 0:
              raise ValueError("Tangential Force cannot be negative"    )
       elif area < 0:
              raise ValueError("Area cannot be negative"    )
       elif stress == 0:
              return (
                  "stress",
                  tangential_force / area,
              )
       elif tangential_force == 0:
              return (
                  "tangential_force",
                  stress * area,
              )
       else:
              return (
                  "area",
                  tangential_force / stress,
              )


if __name__ == "__main__":
   import doctest

   doctest.testmod()











import warnings

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


lowerCamelCase				:		Any     =   logging.get_logger(__name__)







class   A(						UpperCamelCase   ):



 '''simple docstring'''


 def __init__(				self					:  Dict						,							*A_					:  Optional[int]						,							**A_					:  int  )   ->	None:

       """simple docstring"""






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



