




from __future__ import annotations




def 		lowerCAmelCase_ (						lowerCamelCase						,  lowerCamelCase = None						,  lowerCamelCase = None ):
				if start is None:
								__magic_name__						:						Tuple										=0

				if end is None:
								__magic_name__						:						Tuple										=len(lowerCamelCase ) - 1

				if start >= end:
								return

				__magic_name__						:						str										=(start + end) // 2

				slowsort(lowerCamelCase						,  lowerCamelCase						,  lowerCamelCase )
				slowsort(lowerCamelCase						,  mid + 1						,  lowerCamelCase )

				if sequence[end] < sequence[mid]:
								__magic_name__					,			__magic_name__						:						Tuple										=sequence[mid], sequence[end]

				slowsort(lowerCamelCase						,  lowerCamelCase						,  end - 1 )


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

							testmod()






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       _lowerCAmelCase   (      __a			):
				_lowercase     						=42
				_lowercase     						=42


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



