code: 
  
  def 			snake_case__    (					SCREAMING_SNAKE_CASE_	:					int = 100			,  SCREAMING_SNAKE_CASE_	:					int = 100    ):
  
  
  
       '''simple docstring'''
  
  
  
  
  
       return max(
           sum(int(SCREAMING_SNAKE_CASE_    ) for x in str(base**power    )    )
           for base in range(SCREAMING_SNAKE_CASE_    )
           for power in range(SCREAMING_SNAKE_CASE_    )    )
  
  
  # Tests
  if __name__ == "__main__":
         import doctest
  
         doctest.testmod()
  
  
style_context: 
  
  from dataclasses import dataclass
  from typing import List, Optional, Union
  
  import numpy as np
  import PIL
  
  from ...utils import BaseOutput, is_invisible_watermark_available, is_torch_available, is_transformers_available
  
  
  @dataclass
  class    SCREAMING_SNAKE_CASE__      (__snake_case  ):
      __lowerCamelCase		: Union[List[PIL.Image.Image], np.ndarray]
  
  
  if is_transformers_available() and is_torch_available() and is_invisible_watermark_available():
         from .pipeline_stable_diffusion_xl import StableDiffusionXLPipeline
         from .pipeline_stable_diffusion_xl_imgaimg import StableDiffusionXLImgaImgPipeline
  
  