


"""simple docstring"""







from __future__ import annotations

from math import pi
def 					a__			(				SCREAMING_SNAKE_CASE    :    float				,      SCREAMING_SNAKE_CASE    :    float				,      SCREAMING_SNAKE_CASE    :    float				):


  '''simple docstring'''







  if (inductance, frequency, reactance).count(0				) != 1:
    raise ValueError("One and only one argument must be 0"				)
  if inductance < 0:
    raise ValueError("Inductance cannot be negative"				)
  if frequency < 0:
    raise ValueError("Frequency cannot be negative"				)
  if reactance < 0:
    raise ValueError("Inductive reactance cannot be negative"				)
  if inductance == 0:
    return {"inductance": reactance / (2 * pi * frequency)}
  elif frequency == 0:
    return {"frequency": reactance / (2 * pi * inductance)}
  elif reactance == 0:
    return {"reactance": 2 * pi * frequency * inductance}
  else:
    raise ValueError("Exactly one argument must be 0"				)


if __name__ == "__main__":
     import doctest

     doctest.testmod()











import warnings

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


__lowerCAmelCase		:				List[Any]       			=		logging.get_logger(__name__)




class     snake_case__							(_UpperCamelCase   ):
				"""simple docstring"""



				def __init__(      self				:     Union[str, Any]					,      *__lowerCamelCase				:     Optional[Any]					,      **__lowerCamelCase				:     Dict							)					->     None:
							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							)






