




lowerCAmelCase_					    = {
    """A""": ["""B""", """C""", """E"""],
    """B""": ["""A""", """D""", """E"""],
    """C""": ["""A""", """F""", """G"""],
    """D""": ["""B"""],
    """E""": ["""A""", """B""", """D"""],
    """F""": ["""C"""],
    """G""": ["""C"""],
}



def      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase	,      UpperCamelCase      )     ->	list[str]:
  lowerCAmelCase__				:  List[str]		       =     set()
  # keep track of all the paths to be checked
  lowerCAmelCase__				:  str		       =     [[start]]

  # return path if start is goal
  if start == goal:
    return [start]

  # keeps looping until all possible paths have been checked
  while queue:
    # pop the first path from the queue
    lowerCAmelCase__				:  Optional[int]		       =     queue.pop(0      )
    # get the last node from the path
    lowerCAmelCase__				:  Dict		       =     path[-1]
    if node not in explored:
      lowerCAmelCase__				:  Any		       =     graph[node]
      # go through all neighbour nodes, construct a new path and
      # push it into the queue
      for neighbour in neighbours:
        lowerCAmelCase__				:  Optional[Any]		       =     list(UpperCamelCase      )
        new_path.append(UpperCamelCase      )
        queue.append(UpperCamelCase      )
        # return path if neighbour is goal
        if neighbour == goal:
          return new_path

            # mark node as explored
      explored.add(UpperCamelCase      )

    # in case there's no path between the 2 nodes
  return []



def      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase	,      UpperCamelCase      )     ->	int:
  if not graph or start not in graph or target not in graph:
    return -1
  if start == target:
    return 0
  lowerCAmelCase__				:  List[str]		       =     [start]
  lowerCAmelCase__				:  List[str]		       =     set(UpperCamelCase      )
  # Keep tab on distances from `start` node.
  lowerCAmelCase__				:  int		       =     {start: 0, target: -1}
  while queue:
    lowerCAmelCase__				:  Dict		       =     queue.pop(0      )
    if node == target:
      lowerCAmelCase__				:  List[Any]		       =     (
          dist[node] if dist[target] == -1 else min(dist[target]	,      dist[node]      )
      )
    for adjacent in graph[node]:
      if adjacent not in visited:
        visited.add(UpperCamelCase      )
        queue.append(UpperCamelCase      )
        lowerCAmelCase__				:  List[str]		       =     dist[node] + 1
  return dist[target]


if __name__ == "__main__":
     print(bfs_shortest_path(demo_graph, """G""", """D"""))  # returns ['G', 'C', 'A', 'B', 'D']
     print(bfs_shortest_path_distance(demo_graph, """G""", """D"""))  # returns 4







import warnings

from ...utils import logging
from .image_processing_owlvit import OwlViTImageProcessor


lowerCAmelCase_					    = logging.get_logger(__name__)






class  _lowerCAmelCase     (  _lowercase	):

      def __init__(   self      ,				*__UpperCAmelCase      ,				**__UpperCAmelCase		):
        warnings.warn(
            '''The class OwlViTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
            ''' use OwlViTImageProcessor instead.'''      ,				__UpperCAmelCase      ,				)
        super().__init__(*__UpperCAmelCase      ,				**__UpperCAmelCase		)

