





from collections import deque



def      __lowercase     (   _SCREAMING_SNAKE_CASE			)				->     List[Any]:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE	=		len(__lowerCAmelCase			)
      SCREAMING_SNAKE_CASE	=		deque()
      SCREAMING_SNAKE_CASE	=		[False for _ in range(__lowerCAmelCase			)]
      SCREAMING_SNAKE_CASE	=		[-1 for _ in range(__lowerCAmelCase			)]
      SCREAMING_SNAKE_CASE	=		index_of[:]

      def strong_connect(_SCREAMING_SNAKE_CASE				,		_SCREAMING_SNAKE_CASE				,		_SCREAMING_SNAKE_CASE			):
            SCREAMING_SNAKE_CASE	=		index  # the number when this node is seen
            SCREAMING_SNAKE_CASE	=		index  # lowest rank node reachable from here
            index += 1
            stack.append(__lowerCAmelCase			)
            SCREAMING_SNAKE_CASE	=		True

            for w in g[v]:
                  if index_of[w] == -1:
                        SCREAMING_SNAKE_CASE	=		strong_connect(__lowerCAmelCase				,		__lowerCAmelCase				,		__lowerCAmelCase			)
                        SCREAMING_SNAKE_CASE	=		(
                            lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
                        )
                  elif on_stack[w]:
                        SCREAMING_SNAKE_CASE	=		(
                            lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
                        )

            if lowlink_of[v] == index_of[v]:
                  SCREAMING_SNAKE_CASE	=		[]
                  SCREAMING_SNAKE_CASE	=		stack.pop()
                  SCREAMING_SNAKE_CASE	=		False
                  component.append(__lowerCAmelCase			)
                  while w != v:
                        SCREAMING_SNAKE_CASE	=		stack.pop()
                        SCREAMING_SNAKE_CASE	=		False
                        component.append(__lowerCAmelCase			)
                  components.append(__lowerCAmelCase			)
            return index

      SCREAMING_SNAKE_CASE	=		[]
      for v in range(__lowerCAmelCase			):
            if index_of[v] == -1:
                  strong_connect(__lowerCAmelCase				,		0				,		__lowerCAmelCase			)

      return components



def      __lowercase     (   _SCREAMING_SNAKE_CASE				,		_SCREAMING_SNAKE_CASE			)				->     Dict:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE	=		[[] for _ in range(__lowerCAmelCase			)]
      for u, v in edges:
            g[u].append(__lowerCAmelCase			)
      return g


if __name__ == "__main__":
      # Test
      SCREAMING_SNAKE_CASE_		     = 7
      SCREAMING_SNAKE_CASE_		     = [0, 0, 1, 2, 3, 3, 4, 4, 6]
      SCREAMING_SNAKE_CASE_		     = [1, 3, 2, 0, 1, 4, 5, 6, 5]
      SCREAMING_SNAKE_CASE_		     = [(u, v) for u, v in zip(source, target)]
      SCREAMING_SNAKE_CASE_		     = create_graph(n_vertices, edges)

      assert [[5], [6], [4], [3, 2, 1, 0]] == tarjan(g)










import warnings

from ...utils import logging
from .image_processing_deformable_detr import DeformableDetrImageProcessor


SCREAMING_SNAKE_CASE_		     = logging.get_logger(__name__)

class 	UpperCamelCase__				(   lowerCAmelCase_     ):



     '''simple docstring'''

     def __init__(							self		:					int		,*lowerCamelCase__		:					int		,**lowerCamelCase__		:					List[Any] )  ->	None:




           '''simple docstring'''


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


