

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()




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

