"""simple docstring"""


import warnings

from ...utils import logging
from .image_processing_maskformer import MaskFormerImageProcessor


lowerCAmelCase_:       List[str]			     =       logging.get_logger(__name__)






class  a__     ( _a						):


   def __init__(  self,					*_UpperCAmelCase,					**_UpperCAmelCase	):
        '''simple docstring'''



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





"""simple docstring"""


def        __a (		A     ,					A   ):






     '''simple docstring'''



     lowercase__								=				sorted(A     ,					key=lambda A   : value[2]     ,					reverse=A   )

     # Create a list of size equal to the maximum deadline
     # and initialize it with -1
     lowercase__								=				max(A     ,					key=lambda A   : value[1]   )[1]
     lowercase__								=				[-1] * max_deadline

     # Finding the maximum profit and the count of jobs
     lowercase__								=				0
     lowercase__								=				0
     for job in jobs:
          # Find a free time slot for this job
          # (Note that we start from the last possible slot)
          for i in range(job[1] - 1     ,					-1     ,					-1   ):
               if time_slots[i] == -1:
                    lowercase__								=				job[0]
                    count += 1
                    max_profit += job[2]
                    break
     return [count, max_profit]


if __name__ == "__main__":
 import doctest

 doctest.testmod()




