

from __future__ import annotations

from math import pow, sqrt

def 		UpperCamelCase      (lowercase_:				float					,   lowercase_:				float					,   lowercase_:				float      )  ->   dict[str, float]:
	if (resistance, reactance, impedance).count(0      ) != 1:
		raise ValueError("""One and only one argument must be 0"""      )
	if resistance == 0:
		return {"resistance": sqrt(pow(lowercase_					,   2      ) - pow(lowercase_					,   2      )      )}
	elif reactance == 0:
		return {"reactance": sqrt(pow(lowercase_					,   2      ) - pow(lowercase_					,   2      )      )}
	elif impedance == 0:
		return {"impedance": sqrt(pow(lowercase_					,   2      ) + pow(lowercase_					,   2      )      )}
	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_poolformer import PoolFormerImageProcessor


A_ :				Union[str, Any]						 =    logging.get_logger(__name__)



class 					_a		(__magic_name__       ):


					'''simple docstring'''






					def __init__(				self					, *A__					, **A__    ):
						warnings.warn(
						    """The class PoolFormerFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
						    """ Please use PoolFormerImageProcessor instead."""					, A__					, )
						super().__init__(*A__					, **A__    )



