





import warnings

from ...utils import logging
from .image_processing_imagegpt import ImageGPTImageProcessor


snake_case__					:							Tuple													=     logging.get_logger(__name__)





class A_					(			_lowerCamelCase   ):




   def __init__(self	:Any    ,   *_UpperCamelCase	:str    ,   **_UpperCamelCase	:Union[str, Any] )->					None:
         warnings.warn(
             '''The class ImageGPTFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
             ''' Please use ImageGPTImageProcessor instead.'''    ,   _UpperCamelCase    ,   )
         super().__init__(*_UpperCamelCase    ,   **_UpperCamelCase )












def _a				(	lowerCamelCase:   dict )	->						bool:







      '''simple docstring'''






      __A          =				set()
      # To detect a back edge, keep track of vertices currently in the recursion stack
      __A          =				set()
      return any(
          node not in visited and depth_first_search(lowerCamelCase					,				lowerCamelCase					,				lowerCamelCase					,				lowerCamelCase )
          for node in graph )



def _a				(	lowerCamelCase:   dict					,				lowerCamelCase:   int					,				lowerCamelCase:   set					,				lowerCamelCase:   set )	->						bool:







      '''simple docstring'''






      visited.add(lowerCamelCase )
      rec_stk.add(lowerCamelCase )

      for node in graph[vertex]:
            if node not in visited:
                  if depth_first_search(lowerCamelCase					,				lowerCamelCase					,				lowerCamelCase					,				lowerCamelCase ):
                        return True
            elif node in rec_stk:
                  return True

    # The node needs to be removed from recursion stack before function ends
      rec_stk.remove(lowerCamelCase )
      return False


if __name__ == "__main__":
       from doctest import testmod

       testmod()





