



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

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

@dataclass(frozen=UpperCamelCase )
class       _SCREAMING_SNAKE_CASE	(UpperCamelCase ):
     lowerCAmelCase					=			field(default="""language-modeling"""			,    metadata={"""include_in_asdict_even_if_is_default""": True} )

     lowerCAmelCase					=			Features({"""text""": Value("""string""" )} )
     lowerCAmelCase					=			Features({} )
     lowerCAmelCase					=			"text"





     @property
     def 	__snake_case    (       self :							Dict				)->Dict[str, str]:
      return {self.text_column: "text"}











import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


_lowerCamelCase						    =  logging.get_logger(__name__)

class       _SCREAMING_SNAKE_CASE	(UpperCamelCase ):





     def __init__(       self :							int     ,  *UpperCamelCase :							Optional[int]     ,  **UpperCamelCase :							Optional[int]				)->None:
      warnings.warn(
          "The class LayoutLMv2FeatureExtractor is deprecated and will be removed in version 5 of Transformers."
          " Please use LayoutLMv2ImageProcessor instead."     ,  UpperCamelCase     ,  )
      super().__init__(*UpperCamelCase     ,  **UpperCamelCase				)






