code: 
  
  
  
  
  """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 			lowerCamelCase__    (  UpperCamelCase__			):
  			a__ :      Any								=     {
  			    """sld_warmup_steps""": 15,
  			    """sld_guidance_scale""": 20,
  			    """sld_threshold""": 0.0,
  			    """sld_momentum_scale""": 0.0,
  			    """sld_mom_beta""": 0.0,
  			}
  			a__ :      Dict								=     {
  			    """sld_warmup_steps""": 10,
  			    """sld_guidance_scale""": 10_00,
  			    """sld_threshold""": 0.01,
  			    """sld_momentum_scale""": 0.3,
  			    """sld_mom_beta""": 0.4,
  			}
  			a__ :      Dict								=     {
  			    """sld_warmup_steps""": 7,
  			    """sld_guidance_scale""": 20_00,
  			    """sld_threshold""": 0.025,
  			    """sld_momentum_scale""": 0.5,
  			    """sld_mom_beta""": 0.7,
  			}
  			a__ :      Union[str, Any]								=     {
  			    """sld_warmup_steps""": 0,
  			    """sld_guidance_scale""": 50_00,
  			    """sld_threshold""": 1.0,
  			    """sld_momentum_scale""": 0.5,
  			    """sld_mom_beta""": 0.7,
  			}
  
  
  
  
  
  
  
  @dataclass
  class 			lowerCamelCase__    (  UpperCamelCase__			):
  			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
  
  
style_context: 
  
  
  
  
  """simple docstring"""
  
  def   UpperCamelCase__     (		lowercase__  :     int   ):
  		if not isinstance(lowercase__       ,     lowercase__   ):
  				snake_case		:						Optional[Any]								=				F'''Input value of [number={number}] must be an integer'''
  				raise TypeError(lowercase__   )
  		if number < 0 or number % 2 == 1:
  				return False
  		snake_case		:						str								=				int(number**0.5   )
  		return number == number_sqrt * (number_sqrt + 1)
  
  
  if __name__ == "__main__":
  							import doctest
  
  							doctest.testmod()
  
  