

import warnings

from ...utils import logging
from .image_processing_yolos import YolosImageProcessor


lowercase_             = logging.get_logger(__name__)





class 				__lowerCAmelCase  (      _UpperCAmelCase							):




  def __init__(       self							,     *lowerCAmelCase							,     **lowerCAmelCase      )						->				Optional[int]:
        '''simple docstring'''






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





def   a   (    A__			:     Optional[int]  )					->   Tuple:





      """simple docstring"""



      _lowercase			 =[0] * len(A__  )
      _lowercase			 =[]
      _lowercase			 =[]
      _lowercase			 =0

      for values in graph.values():
            for i in values:
                  indegree[i] += 1

      for i in range(len(A__  )  ):
            if indegree[i] == 0:
                  queue.append(A__  )

      while queue:
            _lowercase			 =queue.pop(0  )
            cnt += 1
            topo.append(A__  )
            for x in graph[vertex]:
                  indegree[x] -= 1
                  if indegree[x] == 0:
                        queue.append(A__  )

      if cnt != len(A__  ):
            print('Cycle exists'  )
      else:
            print(A__  )


# Adjacency List of Graph
lowercase_             =     {0: [1, 2], 1: [3], 2: [3], 3: [4, 5], 4: [], 5: []}







topological_sort(graph)


