


"""simple docstring"""







from __future__ import annotations


def 					lowercase      (    A_  ,       A_  ,       A_  ,       )->				tuple[str, float]:
  '''simple docstring'''







  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()










"""simple docstring"""







import warnings

from ...utils import logging
from .image_processing_dpt import DPTImageProcessor


__lowercase    =				logging.get_logger(__name__)






class 						_A  (  _a  ):







    """simple docstring"""




    def __init__( self    :   List[Any]    ,			*__UpperCAmelCase    :   int    ,			**__UpperCAmelCase    :   List[Any]):
      warnings.warn(
          "The class DPTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
          " use DPTImageProcessor instead."    ,			__UpperCAmelCase    ,			)
      super().__init__(*__UpperCAmelCase    ,			**__UpperCAmelCase)






