






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        _SCREAMING_SNAKE_CASE						(  __snake_case							):





							"""simple docstring"""





							_SCREAMING_SNAKE_CASE    =42
							_SCREAMING_SNAKE_CASE    =42


if is_transformers_available() and is_torch_available():
	from .pipeline_semantic_stable_diffusion import SemanticStableDiffusionPipeline










"""simple docstring"""







def        SCREAMING_SNAKE_CASE       (      lowerCamelCase_):
					assert column_title.isupper()
					a__          =  0
					a__          =  len(lowerCamelCase_) - 1
					a__          =  0

					while index >= 0:
										a__          =  (ord(column_title[index]) - 64) * pow(26 ,     lowerCamelCase_)
										answer += value
										power += 1
										index -= 1

					return answer


if __name__ == "__main__":
	from doctest import testmod

	testmod()


