



import warnings

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


__lowerCamelCase  				=					logging.get_logger(__name__)



class 		_snake_case      (			lowerCamelCase				):





 """simple docstring"""



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




   """simple docstring"""







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




def     UpperCAmelCase__ (							__snake_case						,				__snake_case						,				__snake_case						,				__snake_case						,				__snake_case							)   -> None:
  if target == 0:
    answer.append(path.copy()							)
  else:
    for index in range(__snake_case						,				len(__snake_case							)							):
      if target >= candidates[index]:
        path.append(candidates[index]							)
        backtrack(__snake_case						,				__snake_case						,				__snake_case						,				target - candidates[index]						,				__snake_case							)
        path.pop(len(__snake_case							) - 1							)




def     UpperCAmelCase__ (							__snake_case						,				__snake_case							)   -> list:
  _A           =    []  # type: list[int]
  _A           =    []  # type: list[int]
  backtrack(__snake_case						,				__snake_case						,				__snake_case						,				__snake_case						,				0							)
  return answer




def     UpperCAmelCase__ (							)   -> None:
  print(combination_sum([-8, 2.3, 0]						,				1							)							)


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    main()