

"""simple docstring"""






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       _UpperCAmelCase     (						__a):
			__a	:    Any			   =							{
			    """sld_warmup_steps""": 1_5,
			    """sld_guidance_scale""": 2_0,
			    """sld_threshold""": 0.0,
			    """sld_momentum_scale""": 0.0,
			    """sld_mom_beta""": 0.0,
			}
			__a	:    Optional[Any]			   =							{
			    """sld_warmup_steps""": 1_0,
			    """sld_guidance_scale""": 1_0_0_0,
			    """sld_threshold""": 0.01,
			    """sld_momentum_scale""": 0.3,
			    """sld_mom_beta""": 0.4,
			}
			__a	:    int			   =							{
			    """sld_warmup_steps""": 7,
			    """sld_guidance_scale""": 2_0_0_0,
			    """sld_threshold""": 0.0_25,
			    """sld_momentum_scale""": 0.5,
			    """sld_mom_beta""": 0.7,
			}
			__a	:    Any			   =							{
			    """sld_warmup_steps""": 0,
			    """sld_guidance_scale""": 5_0_0_0,
			    """sld_threshold""": 1.0,
			    """sld_momentum_scale""": 0.5,
			    """sld_mom_beta""": 0.7,
			}






@dataclass
class       _UpperCAmelCase     (						__a):
			__a	:    Union[List[PIL.Image.Image], np.ndarray]
			__a	:    Optional[List[bool]]
			__a	:    Optional[Union[List[PIL.Image.Image], np.ndarray]]
			__a	:    Optional[str]


if is_transformers_available() and is_torch_available():
					from .pipeline_stable_diffusion_safe import StableDiffusionPipelineSafe
					from .safety_checker import SafeStableDiffusionSafetyChecker








"""simple docstring"""






def  UpperCamelCase   (     _lowerCAmelCase       :  float,					_lowerCAmelCase       :  float,					_lowerCAmelCase       :  float	)			->     float:
	if mass < 0:
		raise ValueError("""The mass of the body cannot be negative"""	)
	if radius <= 0:
		raise ValueError("""The radius is always a positive non zero integer"""	)
	return (mass * (velocity) ** 2) / radius


if __name__ == "__main__":
						import doctest

						doctest.testmod(verbose=True)





