




'''simple docstring'''


from math import pow, sqrt


def 						SCREAMING_SNAKE_CASE       (      *a_	:							float			):
  __a			=					len(_lowerCamelCase			) > 0 and all(value > 0.0 for value in values			)
  return result


def 						SCREAMING_SNAKE_CASE       (      a_	:							float				,					a_	:							float			):
  return (
      round(sqrt(molar_mass_a / molar_mass_a			)				,					6			)
      if validate(_lowerCamelCase				,					_lowerCamelCase			)
      else ValueError('Input Error: Molar mass values must greater than 0.'			)
  )


def 						SCREAMING_SNAKE_CASE       (      a_	:							float				,					a_	:							float				,					a_	:							float			):
  return (
      round(effusion_rate * sqrt(molar_mass_a / molar_mass_a			)				,					6			)
      if validate(_lowerCamelCase				,					_lowerCamelCase				,					_lowerCamelCase			)
      else ValueError(
          'Input Error: Molar mass and effusion rate values must greater than 0.'			)
  )


def 						SCREAMING_SNAKE_CASE       (      a_	:							float				,					a_	:							float				,					a_	:							float			):
  return (
      round(effusion_rate / sqrt(molar_mass_a / molar_mass_a			)				,					6			)
      if validate(_lowerCamelCase				,					_lowerCamelCase				,					_lowerCamelCase			)
      else ValueError(
          'Input Error: Molar mass and effusion rate values must greater than 0.'			)
  )


def 						SCREAMING_SNAKE_CASE       (      a_	:							float				,					a_	:							float				,					a_	:							float			):
  return (
      round(molar_mass / pow(effusion_rate_a / effusion_rate_a				,					2			)				,					6			)
      if validate(_lowerCamelCase				,					_lowerCamelCase				,					_lowerCamelCase			)
      else ValueError(
          'Input Error: Molar mass and effusion rate values must greater than 0.'			)
  )


def 						SCREAMING_SNAKE_CASE       (      a_	:							float				,					a_	:							float				,					a_	:							float			):
  return (
      round(pow(effusion_rate_a / effusion_rate_a				,					2			) / molar_mass				,					6			)
      if validate(_lowerCamelCase				,					_lowerCamelCase				,					_lowerCamelCase			)
      else ValueError(
          'Input Error: Molar mass and effusion rate values must greater than 0.'			)
  )






'''simple docstring'''


import torch

from diffusers import StableDiffusionPipeline


UpperCAmelCase_ 		=      "path-to-your-trained-model"
UpperCAmelCase_ 		=      StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.floataa).to("cuda")

UpperCAmelCase_ 		=      "A photo of sks dog in a bucket"
UpperCAmelCase_ 		=      pipe(prompt, num_inference_steps=50, guidance_scale=7.5).images[0]

image.save("dog-bucket.png")



