



'''simple docstring'''


import warnings

from ...utils import logging
from .image_processing_conditional_detr import ConditionalDetrImageProcessor


lowercase											=      logging.get_logger(__name__)







class 						UpperCAmelCase						(		__a):


 '''simple docstring'''




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



      """simple docstring"""







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







'''simple docstring'''


from dataclasses import dataclass
from typing import Callable, Optional

import datasets







@dataclass
class 						UpperCAmelCase						(		datasets.BuilderConfig):


 '''simple docstring'''




 __magic_name__       :			Optional[Callable]	=   None
 __magic_name__       :			Optional[dict]	=   None
 __magic_name__       :			Optional[datasets.Features]	=   None




 def    lowercase_	( self)			->   List[Any]:



      """simple docstring"""







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

      if self.gen_kwargs is None:
           a_									={}







class 						UpperCAmelCase						(		datasets.GeneratorBasedBuilder):


 '''simple docstring'''




 __magic_name__       :			Tuple	=   GeneratorConfig




 def    lowercase_	( self)			->   Tuple:



      """simple docstring"""







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




 def    lowercase_	( self				,	lowerCAmelCase_)			->   int:



      """simple docstring"""







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




 def    lowercase_	( self				,	**lowerCAmelCase_)			->   List[Any]:



      """simple docstring"""







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


