



"""simple docstring"""
from __future__ import annotations

from math import pi



def        lowerCAmelCase_(   lowercase_     :							float						,   lowercase_     :							float						,   lowercase_     :							float							)	->       dict[str, 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()





"""simple docstring"""
from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
			if not (is_transformers_available() and is_torch_available()):
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			from ...utils.dummy_torch_and_transformers_objects import KandinskyPipeline, KandinskyPriorPipeline
else:
			from .pipeline_kandinsky import KandinskyPipeline
			from .pipeline_kandinsky_imgaimg import KandinskyImgaImgPipeline
			from .pipeline_kandinsky_inpaint import KandinskyInpaintPipeline
			from .pipeline_kandinsky_prior import KandinskyPriorPipeline, KandinskyPriorPipelineOutput
			from .text_encoder import MultilingualCLIP
