"""simple docstring"""


def 					UpperCAmelCase    (		UpperCAmelCase						,					UpperCAmelCase						,					UpperCAmelCase						,					UpperCAmelCase					)				->      bool:

     # 1. Validate that path exists between current and next vertices
     if graph[path[curr_ind - 1]][next_ver] == 0:
          return False

     # 2. Validate that next vertex is not already in path
     return not any(vertex == next_ver for vertex in path					)







def 					UpperCAmelCase    (		UpperCAmelCase						,					UpperCAmelCase						,					UpperCAmelCase					)				->      bool:

     # Base Case
     if curr_ind == len(UpperCAmelCase					):
          # return whether path exists between current and starting vertices
          return graph[path[curr_ind - 1]][path[0]] == 1

     # Recursive Step
     for next_ver in range(0						,					len(UpperCAmelCase					)					):
          if valid_connection(UpperCAmelCase						,					UpperCAmelCase						,					UpperCAmelCase						,					UpperCAmelCase					):
               # Insert current vertex  into path as next transition
               snake_case_					       =					next_ver
               # Validate created path
               if util_hamilton_cycle(UpperCAmelCase						,					UpperCAmelCase						,					curr_ind + 1					):
                    return True
               # Backtrack
               snake_case_					       =					-1
     return False







def 					UpperCAmelCase    (		UpperCAmelCase						,					UpperCAmelCase = 0					)				->      list[int]:
     snake_case_					       =					[-1] * (len(UpperCAmelCase					) + 1)
     # initialize start and end of path with starting index
     snake_case_					       =					snake_case_					       =					start_index
     # evaluate and if we find answer return path either return empty array
     return path if util_hamilton_cycle(UpperCAmelCase						,					UpperCAmelCase						,					1					) else []








import warnings

from ...utils import logging
from .image_processing_perceiver import PerceiverImageProcessor


__UpperCAmelCase       :   Tuple				       =							logging.get_logger(__name__)







class     __snake_case       (							__lowerCamelCase			):





       '''simple docstring'''







       def __init__(  self :    Union[str, Any]							,				*A :    Union[str, Any]							,				**A :    Optional[int]		):
         warnings.warn(
             """The class PerceiverFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
             """ Please use PerceiverImageProcessor instead."""							,				A							,				)
         super().__init__(*A							,				**A		)






