





from __future__ import annotations
def      A__       (    SCREAMING_SNAKE_CASE_   :      list[int]						)  ->  int:






   """simple docstring"""







   if not nums:
      return 0
   _UpperCAmelCase           =   nums[0]
   _UpperCAmelCase           =   0
   for num in nums[1:]:
      _UpperCAmelCase       ,      _UpperCAmelCase           =   (
          max_excluding + num,
          max(SCREAMING_SNAKE_CASE_				,	SCREAMING_SNAKE_CASE_						),
      )
   return max(SCREAMING_SNAKE_CASE_				,	SCREAMING_SNAKE_CASE_						)


if __name__ == "__main__":
   import doctest

   doctest.testmod()




import warnings

from ...utils import logging
from .image_processing_clip import CLIPImageProcessor


SCREAMING_SNAKE_CASE__   			=   logging.get_logger(__name__)


class   __lowerCAmelCase  (		UpperCAmelCase_   ):
					"""simple docstring"""






					def __init__(  self       :							Dict					,       *_snake_case       :							int					,       **_snake_case       :							Optional[int]       ):






								"""simple docstring"""


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




