
from __future__ import annotations







def        A__					(						lowerCamelCase     ,    lowerCamelCase     ,    lowerCamelCase						)  ->	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()








import warnings

from ..trainer import Trainer
from ..utils import logging


lowerCamelCase_						: Dict         =  logging.get_logger(__name__)

class        _UpperCamelCase				(					_A  ):






			'''simple docstring'''

			def __init__(       self :       List[str]						,	snake_case_ :       Tuple=None						,	**snake_case_ :       List[str]      ):
							warnings.warn(
							    """`SageMakerTrainer` is deprecated and will be removed in v5 of Transformers. You can use `Trainer` """
							    """instead."""						,	snake_case_						,	)
							super().__init__(args=snake_case_						,	**snake_case_      )






