





import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import ClassLabel, Features, Image
from .base import TaskTemplate


@dataclass(frozen=a_     )
class 			lowercase				(							a_     ):



						"""simple docstring"""

						_UpperCamelCase  :	str								=	field(default="image-classification"		,			metadata={"include_in_asdict_even_if_is_default": True}     )
						_UpperCamelCase  :	ClassVar[Features]								=	Features({"image": Image()}     )
						_UpperCamelCase  :	ClassVar[Features]								=	Features({"labels": ClassLabel}     )
						_UpperCamelCase  :	str								=	"image"
						_UpperCamelCase  :	str								=	"labels"







						def 		__UpperCAmelCase       (    self			:		Tuple ,				lowerCamelCase_			:		Dict					):





										'''simple docstring'''







										if self.label_column not in features:
														raise ValueError(f'''Column {self.label_column} is not present in features.'''					)
										if not isinstance(features[self.label_column] ,				lowerCamelCase_					):
														raise ValueError(f'''Column {self.label_column} is not a ClassLabel.'''					)
										_snake_case :			str  						=   copy.deepcopy(self					)
										_snake_case :			Tuple  						=   self.label_schema.copy()
										_snake_case :			Any  						=   features[self.label_column]
										_snake_case :			Optional[Any]  						=   label_schema
										return task_template







						@property
						def 		__UpperCAmelCase       (    self			:		List[Any]					):





										'''simple docstring'''







										return {
										    self.image_column: "image",
										    self.label_column: "labels",
										}













def       A__(		__lowerCAmelCase ):

				if not isinstance(__lowerCAmelCase	,			__lowerCAmelCase ):
								raise TypeError('only integers accepted as input' )
				else:
								_snake_case :			Any  						=   str(abs(__lowerCAmelCase ) )
								_snake_case :			List[str]  						=   [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()






