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

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



@dataclass(frozen=__UpperCamelCase							)
class     _A   (    __UpperCamelCase							):
  SCREAMING_SNAKE_CASE_	:	str						=field(default="language-modeling"	, metadata={"include_in_asdict_even_if_is_default": True}							)

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






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





       '''simple docstring'''





       return {self.text_column: "text"}




import warnings

from ...utils import logging
from .image_processing_beit import BeitImageProcessor


__magic_name__								=logging.get_logger(__name__)



class     _A   (    __UpperCamelCase							):






  def __init__(self   ,				*SCREAMING_SNAKE_CASE_   ,				**SCREAMING_SNAKE_CASE_	)		->      None:





       '''simple docstring'''





       warnings.warn(
           '''The class BeitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
           ''' use BeitImageProcessor instead.'''   ,				SCREAMING_SNAKE_CASE_   ,				)
       super().__init__(*SCREAMING_SNAKE_CASE_   ,				**SCREAMING_SNAKE_CASE_	)



