



"""simple docstring"""
import math


def 	_SCREAMING_SNAKE_CASE  (__lowerCAmelCase       ,     __lowerCAmelCase							)       ->  str:







  '''simple docstring'''


  if (
      not isinstance(__lowerCamelCase       ,     (int, float)							)
      or power_factor < -1
      or power_factor > 1
  ):
    raise ValueError("""power_factor must be a valid float value between -1 and 1."""							)
  return apparent_power * power_factor


def 	_SCREAMING_SNAKE_CASE  (__lowerCAmelCase       ,     __lowerCAmelCase							)       ->  int:







  '''simple docstring'''


  if (
      not isinstance(__lowerCamelCase       ,     (int, float)							)
      or power_factor < -1
      or power_factor > 1
  ):
    raise ValueError("""power_factor must be a valid float value between -1 and 1."""							)
  return apparent_power * math.sqrt(1 - power_factor**2							)


if __name__ == "__main__":
       import doctest

       doctest.testmod()



"""simple docstring"""





from ...utils import is_torch_available, is_transformers_available


if is_transformers_available() and is_torch_available():
    from .pipeline_vq_diffusion import LearnedClassifierFreeSamplingEmbeddings, VQDiffusionPipeline


