
UpperCAmelCase__	:  Any      =   {
    0: 'underwear',
    1: 'pants',
    2: 'belt',
    3: 'suit',
    4: 'shoe',
    5: 'socks',
    6: 'shirt',
    7: 'tie',
    8: 'watch',
}

UpperCAmelCase__	:  Tuple      =   [[1, 4], [2, 4], [3], [], [], [4], [2, 7], [3], []]

UpperCAmelCase__	:  List[str]      =   [0 for x in range(len(graph))]
UpperCAmelCase__	:  Optional[Any]      =   []






def 						lowerCamelCase__							(      a	,	a   )   ->     List[str]:
   _A:						Optional[Any]	    = 1
   while stack:
      _A:						Tuple	    = stack.pop()
      print(a	,	clothes[current_clothing]   )
      order += 1






def 						lowerCamelCase__							(      a	,	a	,	a   )   ->     Tuple:
   _A:						List[Any]	    = 1
   for v in graph[u]:
      if not visited[v]:
         depth_first_search(a	,	a	,	a   )

   stack.append(a   )






def 						lowerCamelCase__							(      a	,	a   )   ->     str:
   for v in range(len(a   )   ):
      if not visited[v]:
         depth_first_search(a	,	a	,	a   )


if __name__ == "__main__":
   topological_sort(graph, visited)
   print(stack)
   print_stack(stack, clothes)





import warnings

from ...utils import logging
from .image_processing_convnext import ConvNextImageProcessor


UpperCAmelCase__	:  Optional[int]      =   logging.get_logger(__name__)






class UpperCAmelCase     (		SCREAMING_SNAKE_CASE__     ):





   '''simple docstring'''


   def __init__(      self  :							str    ,    *lowerCAmelCase_  :							Union[str, Any]    ,    **lowerCAmelCase_  :							Union[str, Any]  ):

      """simple docstring"""
      warnings.warn(
          '''The class ConvNextFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
          ''' Please use ConvNextImageProcessor instead.'''    ,    lowerCAmelCase_    ,    )
      super().__init__(*lowerCAmelCase_    ,    **lowerCAmelCase_  )



