

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    list[int]	,     SCREAMING_SNAKE_CASE_		:    list[int]			):



     '''simple docstring'''





     lowercase__    :   List[Any]      =       len(SCREAMING_SNAKE_CASE_			)
     print('The following activities are selected:'			)

     # The first activity is always selected
     lowercase__    :   Union[str, Any]      =       0
     print(SCREAMING_SNAKE_CASE_	,     end=','			)

     # Consider rest of the activities
     for j in range(SCREAMING_SNAKE_CASE_			):
          # If this activity has start time greater than
          # or equal to the finish time of previously
          # selected activity, then select it
          if start[j] >= finish[i]:
               print(SCREAMING_SNAKE_CASE_	,     end=','			)
               lowercase__    :   Optional[int]      =       j


if __name__ == "__main__":
       import doctest

       doctest.testmod()

       snake_case_			  = [1, 3, 0, 5, 8, 5]
       snake_case_			  = [2, 4, 6, 7, 9, 9]
       print_max_activities(start, finish)




import warnings

from ...utils import logging
from .image_processing_flava import FlavaImageProcessor


snake_case_			  = logging.get_logger(__name__)


class       SCREAMING_SNAKE_CASE__					(__snake_case     ):





    def __init__(      self						,   *a						,   **a):
         warnings.warn(
             'The class FlavaFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
             ' use FlavaImageProcessor instead.'						,   a						,   )
         super().__init__(*a						,   **a)

