






"""simple docstring"""




from __future__ import annotations







def 		SCREAMING_SNAKE_CASE							( __lowerCAmelCase ,   __lowerCAmelCase ,   __lowerCAmelCase      )			->     Any:
     if len(lowercase__      ) == 0:
          raise ValueError("find_max() arg is an empty sequence"      )
     if (
         left >= len(lowercase__      )
         or left < -len(lowercase__      )
         or right >= len(lowercase__      )
         or right < -len(lowercase__      )
     ):
          raise IndexError("list index out of range"      )
     if left == right:
          return nums[left]
     UpperCamelCase__      :       int	    =  (left + right) >> 1  # the middle
     UpperCamelCase__      :       Tuple	    =  find_max(lowercase__ ,   lowercase__ ,   lowercase__      )  # find max in range[left, mid]
     UpperCamelCase__      :       str	    =  find_max(lowercase__ ,   mid + 1 ,   lowercase__      )  # find max in range[mid + 1, right]

     return left_max if left_max >= right_max else right_max


if __name__ == "__main__":
 import doctest

 doctest.testmod(verbose=True)







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

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





@dataclass(frozen=A__	)
class       __a  (   A__	):
 _lowerCAmelCase	:	str				=			field(default='''language-modeling'''	,       metadata={'''include_in_asdict_even_if_is_default''': True}	)

 _lowerCAmelCase	:	ClassVar[Features]				=			Features({'''text''': Value('''string'''	)}	)
 _lowerCAmelCase	:	ClassVar[Features]				=			Features({}	)
 _lowerCAmelCase	:	str				=			"text"







 @property
 def  __lowercase (		self :       str						):


      '''simple docstring'''






      return {self.text_column: "text"}