



import warnings

from ...utils import logging
from .image_processing_chinese_clip import ChineseCLIPImageProcessor


lowerCAmelCase__		:     Optional[Any]       						=logging.get_logger(__name__)

class    UpperCAmelCase_  (   lowercase__       ):

						'''simple docstring'''




						def __init__(    self      ,							*_A      ,							**_A		):







													'''simple docstring'''

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














from __future__ import annotations

from math import pi






def 				lowerCamelCase__      (    __lowerCamelCase			:     float  ,		__lowerCamelCase			:     float  ,		__lowerCamelCase			:     float		):

  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()


