'''simple docstring'''

def  _lowerCAmelCase				(				__a			,      __a			,      __a			,      __a			,      __a      )  ->      None:
     '''simple docstring'''







     if target == 0:
          answer.append(path.copy()      )
     else:
          for index in range(lowerCAmelCase__			,      len(lowerCAmelCase__      )      ):
               if target >= candidates[index]:
                    path.append(candidates[index]      )
                    backtrack(lowerCAmelCase__			,      lowerCAmelCase__			,      lowerCAmelCase__			,      target - candidates[index]			,      lowerCAmelCase__      )
                    path.pop(len(lowerCAmelCase__      ) - 1      )



def  _lowerCAmelCase				(				__a			,      __a      )  ->      list:
     '''simple docstring'''







     _UpperCamelCase  :Any       =[]  # type: list[int]
     _UpperCamelCase  :Optional[int]       =[]  # type: list[int]
     backtrack(lowerCAmelCase__			,      lowerCAmelCase__			,      lowerCAmelCase__			,      lowerCAmelCase__			,      0      )
     return answer



def  _lowerCAmelCase				(				)  ->      None:
     '''simple docstring'''







     print(combination_sum([-8, 2.3, 0]			,      1      )      )


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      main()



'''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 			a  (  _SCREAMING_SNAKE_CASE							):
 _lowerCAmelCase			       =						{
     """sld_warmup_steps""": 1_5,
     """sld_guidance_scale""": 2_0,
     """sld_threshold""": 0.0,
     """sld_momentum_scale""": 0.0,
     """sld_mom_beta""": 0.0,
 }
 _lowerCAmelCase			       =						{
     """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,
 }
 _lowerCAmelCase			       =						{
     """sld_warmup_steps""": 7,
     """sld_guidance_scale""": 2_0_0_0,
     """sld_threshold""": 0.025,
     """sld_momentum_scale""": 0.5,
     """sld_mom_beta""": 0.7,
 }
 _lowerCAmelCase			       =						{
     """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 			a  (  _SCREAMING_SNAKE_CASE							):
 _lowerCAmelCase			       =						42
 _lowerCAmelCase			       =						42
 _lowerCAmelCase			       =						42
 _lowerCAmelCase			       =						42


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

