from dataclasses import dataclass
from typing import Callable, Optional

import datasets







@dataclass
class __snake_case							(		datasets.BuilderConfig						):
   lowerCAmelCase_								=				None
   lowerCAmelCase_								=				None
   lowerCAmelCase_								=				None




   def       __a		(       self     :							Union[str, Any] ):



     """simple docstring"""






     assert self.generator is not None, "generator must be specified"

     if self.gen_kwargs is None:
       SCREAMING_SNAKE_CASE__     				= {}







class __snake_case							(		datasets.GeneratorBasedBuilder						):
   lowerCAmelCase_								=				GeneratorConfig




   def       __a		(       self     :							int ):



     """simple docstring"""






     return datasets.DatasetInfo(features=self.config.features )




   def       __a		(       self     :							int			,      _lowercase     :							Optional[Any] ):



     """simple docstring"""






     return [datasets.SplitGenerator(name=datasets.Split.TRAIN			,      gen_kwargs=self.config.gen_kwargs )]




   def       __a		(       self     :							Any			,      **_lowercase     :							Optional[Any] ):



     """simple docstring"""






     for idx, ex in enumerate(self.config.generator(**_lowercase ) ):
       yield idx, ex

import warnings

from ...utils import logging
from .image_processing_vit import ViTImageProcessor


__lowerCamelCase     :					Union[str, Any]				  =						logging.get_logger(__name__)







class __snake_case							(		lowerCamelCase_						):




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



     """simple docstring"""






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