


from __future__ import annotations

_snake_case	:						Union[str, Any]         =							{
    "A": ["B", "C", "E"],
    "B": ["A", "D", "E"],
    "C": ["A", "F", "G"],
    "D": ["B"],
    "E": ["A", "B", "D"],
    "F": ["C"],
    "G": ["C"],
}

class 							a						:




							"""simple docstring"""


							def __init__(				self			:    Tuple       ,      lowerCamelCase			:    dict[str, list[str]]       ,      lowerCamelCase			:    str							)      ->       None:
														__snake_case						:     Optional[int]									=  graph
														# mapping node to its parent in resulting breadth first tree
														__snake_case						:     dict[str, str | None]									=  {}
														__snake_case						:     Optional[Any]									=  source_vertex

							def        __snake_case   (				self			:    Tuple							)      ->       None:
														__snake_case						:     Optional[int]									=  {self.source_vertex}
														__snake_case						:     Union[str, Any]									=  None
														__snake_case						:     List[str]									=  [self.source_vertex]  # first in first out queue

														while queue:
																					__snake_case						:     Union[str, Any]									=  queue.pop(0							)
																					for adjacent_vertex in self.graph[vertex]:
																												if adjacent_vertex not in visited:
																																			visited.add(lowerCamelCase							)
																																			__snake_case						:     Tuple									=  vertex
																																			queue.append(lowerCamelCase							)






							def        __snake_case   (				self			:    Optional[int]       ,      lowerCamelCase			:    str							)      ->       str:
														if target_vertex == self.source_vertex:
																					return self.source_vertex

														__snake_case						:     List[Any]									=  self.parent.get(lowerCamelCase							)
														if target_vertex_parent is None:
																					__snake_case						:     str									=  (
																					    F'No path from vertex: {self.source_vertex} to vertex: {target_vertex}'
																					)
																					raise ValueError(lowerCamelCase							)

														return self.shortest_path(lowerCamelCase							) + F'->{target_vertex}'


if __name__ == "__main__":
			_snake_case	:						Optional[int]         =							Graph(graph, "G")
			g.breath_first_search()
			print(g.shortest_path("D"))
			print(g.shortest_path("G"))
			print(g.shortest_path("Foo"))







import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


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

class 						__lowerCAmelCase      (      __magic_name__					):
							def __init__(		self		:Union[str, Any]						, *__magic_name__		:int						, **__magic_name__		:str							):







								'''simple docstring'''







								warnings.warn(
								    """The class LayoutLMv2FeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
								    """ Please use LayoutLMv2ImageProcessor instead."""						, __magic_name__						, )
								super().__init__(*__magic_name__						, **__magic_name__							)

