


'''simple docstring'''






import warnings

from ...utils import logging
from .image_processing_imagegpt import ImageGPTImageProcessor


__UpperCAmelCase       							=				logging.get_logger(__name__)




class 						a__							(				a__    ):





							'''simple docstring'''






							def __init__(						self   ,       *lowerCamelCase_   ,       **lowerCamelCase_  )			->				None:
														warnings.warn(
														    '''The class ImageGPTFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
														    ''' Please use ImageGPTImageProcessor instead.'''   ,       lowerCamelCase_   ,       )
														super().__init__(*lowerCamelCase_   ,       **lowerCamelCase_  )


'''simple docstring'''







from bisect import bisect
from itertools import accumulate
def    UpperCAmelCase__     (   UpperCAmelCase__,							UpperCAmelCase__,							UpperCAmelCase__,							UpperCAmelCase__					)      ->      Dict:
       A_						       =   sorted(zip(UpperCAmelCase__,							UpperCAmelCase__					),							key=lambda UpperCAmelCase__					: x[0] / x[1],							reverse=UpperCAmelCase__					)
       A_       ,      A_						       =   [i[0] for i in r], [i[1] for i in r]
       A_						       =   list(accumulate(UpperCAmelCase__					)					)
       A_						       =   bisect(UpperCAmelCase__,							UpperCAmelCase__					)
       return (
           0
           if k == 0
           else sum(vl[:k]					) + (w - acc[k - 1]) * (vl[k]) / (wt[k])
           if k != n
           else sum(vl[:k]					)
       )


if __name__ == "__main__":
      import doctest

      doctest.testmod()
