



from __future__ import annotations

from math import pi
def     _a							(     __lowercase				, __lowercase				, __lowercase		)     ->						str:

							"""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()






from ...utils import logging
from ..ta.modeling_tf_ta import TFTaEncoderModel, TFTaForConditionalGeneration, TFTaModel
from .configuration_mta import MTaConfig


A									=  logging.get_logger(__name__)

A									=  'T5Config'


class SCREAMING_SNAKE_CASE	(		__snake_case				):






			"""simple docstring"""




			__A    	=	"""mt5"""
			__A    	=	MTaConfig







class SCREAMING_SNAKE_CASE	(		__snake_case				):






			"""simple docstring"""




			__A    	=	"""mt5"""
			__A    	=	MTaConfig







class SCREAMING_SNAKE_CASE	(		__snake_case				):






			"""simple docstring"""




			__A    	=	"""mt5"""
			__A    	=	MTaConfig
