
def 						UpperCAmelCase      (     a_		,       a_						)		->     str:







    """simple docstring"""



    if not (isinstance(a_		,       a_						) and isinstance(a_		,       a_						)):
        raise ValueError("longest_common_substring() takes two strings for inputs"						)

    __A             =			len(a_						)
    __A             =			len(a_						)

    __A             =			[[0] * (texta_length + 1) for _ in range(texta_length + 1						)]
    __A             =			0
    __A             =			0

    for i in range(1		,       texta_length + 1						):
        for j in range(1		,       texta_length + 1						):
            if texta[i - 1] == texta[j - 1]:
                __A             =			1 + dp[i - 1][j - 1]
                if dp[i][j] > ans_length:
                    __A             =			i
                    __A             =			dp[i][j]

    return texta[ans_index - ans_length : ans_index]


if __name__ == "__main__":
     import doctest

     doctest.testmod()


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

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





@dataclass(frozen=__SCREAMING_SNAKE_CASE  )
class 							UpperCAmelCase				(  __SCREAMING_SNAKE_CASE  ):




	'''simple docstring'''





	snake_case_    =					field(default="text-classification"      ,      metadata={"include_in_asdict_even_if_is_default": True}  )
	snake_case_    =					Features({"text": Value("string"  )}  )
	snake_case_    =					Features({"labels": ClassLabel}  )
	snake_case_    =					"text"
	snake_case_    =					"labels"






	def     UpperCamelCase_  (	self :			Optional[Any]							,A :			Dict			):
					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]							,A			):
									raise ValueError(f'''Column {self.label_column} is not a ClassLabel.'''			)
					__A             =			copy.deepcopy(self			)
					__A             =			self.label_schema.copy()
					__A             =			features[self.label_column]
					__A             =			label_schema
					return task_template







	@property
	def     UpperCamelCase_  (	self :			Dict			):
					return {
					    self.text_column: "text",
					    self.label_column: "labels",
					}
