





"""simple docstring"""






import functools

def     __A      (			a_						:str   ,       a_						:str)		->		int:
				__a :						Any			       =  len(a_)
				__a :						Any			       =  len(a_)

				@functools.cache
				def min_distance(a_						:int   ,       a_						: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
								__a :						Optional[int]			       =  int(worda[indexa] != worda[indexa])  # current letters not identical
								return min(
								    1 + min_distance(indexa + 1   ,       a_)   ,       1 + min_distance(a_   ,       indexa + 1)   ,       diff + min_distance(indexa + 1   ,       indexa + 1)   ,       )

				return min_distance(0   ,       0)


if __name__ == "__main__":
		import doctest

		doctest.testmod()






"""simple docstring"""






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

from ..features import Features, Value
from .base import TaskTemplate




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







					'''simple docstring'''




					__lowerCAmelCase  =  field(default='''language-modeling'''   ,      metadata={'''include_in_asdict_even_if_is_default''': True}							)

					__lowerCAmelCase  =  Features({'''text''': Value('''string'''							)}							)
					__lowerCAmelCase  =  Features({}							)
					__lowerCAmelCase  =  "text"







					@property
					def  _lowerCamelCase		(						self     ):
									return {self.text_column: "text"}