





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

from ..features import Features, Sequence, Value
from .base import TaskTemplate
@dataclass(frozen=snake_case_					)
class SCREAMING_SNAKE_CASE_						(					snake_case_					):
      # `task` is not a ClassVar since we want it to be part of the `asdict` output for JSON serialization
      __magic_name__:			str       =       field(default="question-answering-extractive"       ,				metadata={"include_in_asdict_even_if_is_default": True}					)
      __magic_name__:			ClassVar[Features]       =       Features({"question": Value("string"					), "context": Value("string"					)}					)
      __magic_name__:			ClassVar[Features]       =       Features(
          {
              "answers": Sequence(
                  {
                      "text": Value("string"					),
                      "answer_start": Value("int32"					),
                  }					)
          }					)
      __magic_name__:			str       =       "question"
      __magic_name__:			str       =       "context"
      __magic_name__:			str       =       "answers"






      @property
      def UpperCAmelCase_				(      self      :      int	)							->    Dict[str, str]:







       """simple docstring"""


       return {self.question_column: "question", self.context_column: "context", self.answers_column: "answers"}








import numpy as np


def 							SCREAMING_SNAKE_CASE__						(    __a   ):
	return (2 / (1 + np.exp(-2 * vector   ))) - 1


if __name__ == "__main__":
						import doctest

						doctest.testmod()

