from __future__ import annotations

from collections import deque
from collections.abc import Iterator
from dataclasses import dataclass





@dataclass
class 					A							:
   __UpperCAmelCase			:			int
   __UpperCAmelCase			:			int





class 					A							:


   def __init__(self					:						List[str]	,  __UpperCAmelCase					:						int		)						->    int:
         """simple docstring"""



         UpperCAmelCase__								=  [[] for _ in range(__UpperCAmelCase		)]
         UpperCAmelCase__								=  size


   def __getitem__(self					:						List[str]	,  __UpperCAmelCase					:						int		)						->    Iterator[Edge]:
         """simple docstring"""



         return iter(self._graph[vertex]		)


   @property
   def       lowercase_				(self					:						Optional[int]		)						->    int:
         """simple docstring"""



         return self._size


   def       lowercase_				(self					:						Optional[Any]	,  __UpperCAmelCase					:						int	,  __UpperCAmelCase					:						int	,  __UpperCAmelCase					:						int		)						->    Dict:
         """simple docstring"""



         if weight not in (0, 1):
               raise ValueError("Edge weight must be either 0 or 1."		)

         if to_vertex < 0 or to_vertex >= self.size:
               raise ValueError("Vertex indexes must be in [0; size)."		)

         self._graph[from_vertex].append(Edge(__UpperCAmelCase	,  __UpperCAmelCase		)		)





   def       lowercase_				(self					:						List[str]	,  __UpperCAmelCase					:						int	,  __UpperCAmelCase					:						int		)						->    int | None:
         """simple docstring"""



         UpperCAmelCase__								=  deque([start_vertex]		)
         UpperCAmelCase__								=  [None] * self.size
         UpperCAmelCase__								=  0

         while queue:
               UpperCAmelCase__								=  queue.popleft()
               UpperCAmelCase__								=  distances[current_vertex]
               if current_distance is None:
                     continue

               for edge in self[current_vertex]:
                     UpperCAmelCase__								=  current_distance + edge.weight
                     UpperCAmelCase__								=  distances[edge.destination_vertex]
                     if (
                         isinstance(__UpperCAmelCase	,  __UpperCAmelCase		)
                         and new_distance >= dest_vertex_distance
                     ):
                           continue
                     UpperCAmelCase__								=  new_distance
                     if edge.weight == 0:
                           queue.appendleft(edge.destination_vertex		)
                     else:
                           queue.append(edge.destination_vertex		)

         if distances[finish_vertex] is None:
               raise ValueError("No path from start_vertex to finish_vertex."		)

         return distances[finish_vertex]


if __name__ == "__main__":
      import doctest

      doctest.testmod()




from typing import TYPE_CHECKING

from ...utils import _LazyModule


UpperCamelCase__    							= {'tokenization_bertweet': ['BertweetTokenizer']}


if TYPE_CHECKING:
      from .tokenization_bertweet import BertweetTokenizer

else:
      import sys

      UpperCamelCase__    							= _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



