"""simple docstring"""




from __future__ import annotations





def 							SCREAMING_SNAKE_CASE  (    _lowerCamelCase		: float    ,_lowerCamelCase		: float    ,_lowerCamelCase		: float			) ->   dict[str, float]:
  if (voltage, current, resistance).count(0			) != 1:
    raise ValueError("""One and only one argument must be 0"""			)
  if resistance < 0:
    raise ValueError("""Resistance cannot be negative"""			)
  if voltage == 0:
    return {"voltage": float(current * resistance			)}
  elif current == 0:
    return {"current": voltage / resistance}
  elif resistance == 0:
    return {"resistance": voltage / current}
  else:
    raise ValueError("""Exactly one argument must be 0"""			)


if __name__ == "__main__":
     import doctest

     doctest.testmod()





"""simple docstring"""




import warnings

from ...utils import logging
from .image_processing_segformer import SegformerImageProcessor


_a   :	Tuple 					=     logging.get_logger(__name__)
class 		__A							(				SCREAMING_SNAKE_CASE_	):






     def __init__(	self       ,  *a__       ,  **a__						):
       warnings.warn(
           """The class SegformerFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
           """ Please use SegformerImageProcessor instead."""       ,  a__       ,  )
       super().__init__(*a__       ,  **a__						)




