



from __future__ import annotations
def 						UpperCamelCase      (  snake_case__			:       list[int]      )      ->	list[int]:  # This function is recursive
   UpperCamelCase       :    List[Any]		      =      len(snake_case__      )
   # If the array contains only one element, we return it (it's the stop condition of
   # recursion)
   if array_length <= 1:
      return array
      # Else
   UpperCamelCase       :    Tuple		      =      array[0]
   UpperCamelCase       :    str		      =      False
   UpperCamelCase       :    Tuple		      =      1
   UpperCamelCase       :    list[int]		      =      []
   while not is_found and i < array_length:
      if array[i] < pivot:
         UpperCamelCase       :    Optional[int]		      =      True
         UpperCamelCase       :    Tuple		      =      [element for element in array[i:] if element >= array[i]]
         UpperCamelCase       :    str		      =      longest_subsequence(snake_case__      )
         if len(snake_case__      ) > len(snake_case__      ):
            UpperCamelCase       :    Union[str, Any]		      =      temp_array
      else:
         i += 1

   UpperCamelCase       :    Any		      =      [element for element in array[1:] if element >= pivot]
   UpperCamelCase       :    Dict		      =      [pivot, *longest_subsequence(snake_case__      )]
   if len(snake_case__      ) > len(snake_case__      ):
      return temp_array
   else:
      return longest_subseq


if __name__ == "__main__":
    import doctest

    doctest.testmod()








"""simple docstring"""







import warnings

from ...utils import logging
from .image_processing_segformer import SegformerImageProcessor


a_							=    logging.get_logger(__name__)







class 					A_(SCREAMING_SNAKE_CASE_      ):







			"""simple docstring"""



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





