

import warnings

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


_a									=  logging.get_logger(__name__)






class 				A_					(						snake_case__   ):


     def __init__(				self     :						Tuple     ,    *UpperCAmelCase     :						Tuple     ,    **UpperCAmelCase     :						Optional[int]   )				->      str:
      warnings.warn(
          'The class ConditionalDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
          ' Please use ConditionalDetrImageProcessor instead.'     ,    UpperCAmelCase     ,    )
      super().__init__(*UpperCAmelCase     ,    **UpperCAmelCase   )






"""simple docstring"""
def  lowerCAmelCase__     (      _UpperCamelCase							:					list       )       ->					list:





						"""simple docstring"""






						if len(_UpperCamelCase       ) <= 1:
												return data
						else:
												return [
												    *quick_sort([e for e in data[1:] if e <= data[0]]       ),
												    data[0],
												    *quick_sort([e for e in data[1:] if e > data[0]]       ),
												]


if __name__ == "__main__":
					import doctest

					doctest.testmod()


