


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							):
		lowerCamelCase_	:			str       			=  field(default="""text-classification"""		,		metadata={"""include_in_asdict_even_if_is_default""": True}							)
		lowerCamelCase_	:			ClassVar[Features]       			=  Features({"""text""": Value("""string"""							)}							)
		lowerCamelCase_	:			ClassVar[Features]       			=  Features({"""labels""": ClassLabel}							)
		lowerCamelCase_	:			str       			=  "text"
		lowerCamelCase_	:			str       			=  "labels"






		def _snake_case		(						self				:     Optional[int]   ,  UpperCAmelCase				:     List[Any]):



				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]   ,  _lowercase):
						raise ValueError(F"Column {self.label_column} is not a ClassLabel.")
				SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						copy.deepcopy(self)
				SCREAMING_SNAKE_CASE_				:List[str]				     =						self.label_schema.copy()
				SCREAMING_SNAKE_CASE_				:List[str]				     =						features[self.label_column]
				SCREAMING_SNAKE_CASE_				:str				     =						label_schema
				return task_template







		@property
		def _snake_case		(						self				:     Union[str, Any]):
				return {
				    self.text_column: "text",
				    self.label_column: "labels",
				}








'''simple docstring'''



import warnings

from ...utils import logging
from .image_processing_donut import DonutImageProcessor


_lowercase          =						logging.get_logger(__name__)




class     UpperCAmelCase_	(						_SCREAMING_SNAKE_CASE					):






						'''simple docstring'''






						def __init__(   self       ,  *_lowercase       ,  **_lowercase ):

												"""simple docstring"""



												warnings.warn(
												    """The class DonutFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
												    """ use DonutImageProcessor instead."""       ,  _lowercase       ,  )
												super().__init__(*_lowercase       ,  **_lowercase )
