





'''simple docstring'''



def 				_lowerCAmelCase  (			lowerCamelCase_     :					int			):

			if not isinstance(lowerCamelCase_						,    lowerCamelCase_			):
						raise TypeError('''only integers accepted as input'''			)
			else:
						__lowercase			  =							str(abs(lowerCamelCase_			)			)
						__lowercase			  =							[list(lowerCamelCase_			) for char in range(len(lowerCamelCase_			)			)]
						for index in range(len(lowerCamelCase_			)			):
									num_transpositions[index].pop(lowerCamelCase_			)
						return max(
						    int(''''''.join(list(lowerCamelCase_			)			)			) for transposition in num_transpositions			)


if __name__ == "__main__":
	__import__('''doctest''').testmod()












'''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 							__lowercase    ( lowerCAmelCase__  ):







	'''simple docstring'''

	a      :			Union[List[PIL.Image.Image], np.ndarray]
	a      :			Optional[List[bool]]


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





