import warnings

from ...utils import logging
from .image_processing_deit import DeiTImageProcessor


A_     :   List[str]      =      logging.get_logger(__name__)






class      __lowercase					(    _A    ):

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


									'''simple docstring'''

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






from __future__ import annotations

from math import pi






def        __UpperCAmelCase    (       UpperCAmelCase,		UpperCAmelCase,		UpperCAmelCase       )->       dict[str, 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()





