






from __future__ import annotations

from math import pi





def 					snake_case	(  lowerCamelCase					,	lowerCamelCase					,	lowerCamelCase       ):




	'''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 dataclasses import dataclass
from enum import Enum
from typing import List, Optional, Union

import numpy as np
import PIL
from PIL import Image

from ...utils import BaseOutput, is_torch_available, is_transformers_available





@dataclass
class 					__lowerCAmelCase	(   SCREAMING_SNAKE_CASE				):
  _a		     =    42
  _a		     =    42


if is_transformers_available() and is_torch_available():
  from .pipeline_semantic_stable_diffusion import SemanticStableDiffusionPipeline


