


'''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__	(						UpperCAmelCase__				):
      __UpperCamelCase	:  Tuple     	=							{
          "sld_warmup_steps": 15,
          "sld_guidance_scale": 20,
          "sld_threshold": 0.0,
          "sld_momentum_scale": 0.0,
          "sld_mom_beta": 0.0,
      }
      __UpperCamelCase	:  Tuple     	=							{
          "sld_warmup_steps": 10,
          "sld_guidance_scale": 1000,
          "sld_threshold": 0.01,
          "sld_momentum_scale": 0.3,
          "sld_mom_beta": 0.4,
      }
      __UpperCamelCase	:  List[str]     	=							{
          "sld_warmup_steps": 7,
          "sld_guidance_scale": 2000,
          "sld_threshold": 0.025,
          "sld_momentum_scale": 0.5,
          "sld_mom_beta": 0.7,
      }
      __UpperCamelCase	:  str     	=							{
          "sld_warmup_steps": 0,
          "sld_guidance_scale": 5000,
          "sld_threshold": 1.0,
          "sld_momentum_scale": 0.5,
          "sld_mom_beta": 0.7,
      }







@dataclass
class A__	(						UpperCAmelCase__				):
      __UpperCamelCase	:  Union[List[PIL.Image.Image], np.ndarray]
      __UpperCamelCase	:  Optional[List[bool]]
      __UpperCamelCase	:  Optional[Union[List[PIL.Image.Image], np.ndarray]]
      __UpperCamelCase	:  Optional[str]


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






'''simple docstring'''







import math


def      SCREAMING_SNAKE_CASE_ (  _UpperCAmelCase     :     int  )  ->      int:
       return sum(int(_UpperCAmelCase  ) for digit in str(_UpperCAmelCase  )  )


def      SCREAMING_SNAKE_CASE_ (  _UpperCAmelCase     :     int = 30  )  ->      int:
       _a   :			List[Any]					 =[]
       for digit in range(2   ,100  ):
              for power in range(2   ,100  ):
                     _a   :			Optional[Any]					 =int(math.pow(_UpperCAmelCase   ,_UpperCAmelCase  )  )
                     if digit == digit_sum(_UpperCAmelCase  ):
                            digit_to_powers.append(_UpperCAmelCase  )

       digit_to_powers.sort()
       return digit_to_powers[n - 1]


if __name__ == "__main__":
   print(solution())


