




import functools





def 				A__ (snake_case   :		str		,	snake_case   :		str				)     ->						int:
					__UpperCamelCase					:	Optional[Any]             =      len(snake_case				)
					__UpperCamelCase					:	Optional[int]             =      len(snake_case				)

					@functools.cache
					def min_distance(snake_case   :		int		,	snake_case   :		int				) -> int:
										# if first word index is overflow - delete all from the second word
										if indexa >= len_worda:
															return len_worda - indexa
										# if second word index is overflow - delete all from the first word
										if indexa >= len_worda:
															return len_worda - indexa
										__UpperCamelCase					:	str             =      int(worda[indexa] != worda[indexa]				)  # current letters not identical
										return min(
										    1 + min_distance(indexa + 1		,	snake_case				)		,	1 + min_distance(snake_case		,	indexa + 1				)		,	diff + min_distance(indexa + 1		,	indexa + 1				)		,	)

					return min_distance(0		,	0				)


if __name__ == "__main__":
	import doctest

	doctest.testmod()












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

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


@dataclass(frozen=_UpperCamelCase   )
class    SCREAMING_SNAKE_CASE_				(       _UpperCamelCase   ):



	"""simple docstring"""


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






	def 					lowerCamelCase__     (					self		:						Any					,     lowerCAmelCase		:						Optional[Any]	)	->       Union[str, Any]:







						"""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.'''	)
						__UpperCamelCase					:	List[str]             =      copy.deepcopy(self	)
						__UpperCamelCase					:	List[Any]             =      self.label_schema.copy()
						__UpperCamelCase					:	List[str]             =      features[self.label_column]
						__UpperCamelCase					:	List[str]             =      label_schema
						return task_template






	@property
	def 					lowerCamelCase__     (					self		:						List[Any]	)	->       Dict[str, str]:







						"""simple docstring"""







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






