





from __future__ import annotations

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



@dataclass
class 					__lowerCAmelCase       :
			lowerCamelCase_     :     Any       			=      42
			lowerCamelCase_     :     Union[str, Any]       			=      42




class 					__lowerCAmelCase       :






			def __init__(self					,							__magic_name__    )     ->   Any:


							'''simple docstring'''



							snake_case_						:    int				=  [[] for _ in range(A_    )]
							snake_case_						:    Optional[Any]				=  size






			def __getitem__(self					,							__magic_name__    )     ->   Iterator[Edge]:


							'''simple docstring'''



							return iter(self._graph[vertex]    )






			@property
			def 			lowerCamelCase  (self    )     ->   str:


							'''simple docstring'''



							return self._size






			def 			lowerCamelCase  (self					,							__magic_name__					,							__magic_name__					,							__magic_name__    )     ->   Any:


							'''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(A_					,							A_    )    )






			def 			lowerCamelCase  (self					,							__magic_name__					,							__magic_name__    )     ->   int | None:


							'''simple docstring'''



							snake_case_						:    Optional[Any]				=  deque([start_vertex]    )
							snake_case_						:    str				=  [None] * self.size
							snake_case_						:    int				=  0

							while queue:
											snake_case_						:    Dict				=  queue.popleft()
											snake_case_						:    List[str]				=  distances[current_vertex]
											if current_distance is None:
															continue

											for edge in self[current_vertex]:
															snake_case_						:    List[Any]				=  current_distance + edge.weight
															snake_case_						:    Union[str, Any]				=  distances[edge.destination_vertex]
															if (
															    isinstance(A_					,							A_    )
															    and new_distance >= dest_vertex_distance
															):
																			continue
															snake_case_						:    Union[str, Any]				=  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 datetime import datetime

import requests
from bsa import BeautifulSoup

if __name__ == "__main__":
 lowerCamelCase				:		int     =   input("Enter image url: ").strip()
 print(F"""Downloading image from {url} ...""")
 lowerCamelCase				:		Tuple     =   BeautifulSoup(requests.get(url).content, "html.parser")
 # The image URL is in the content field of the first meta tag with property og:image
 lowerCamelCase				:		int     =   soup.find("meta", {"property": "og:image"})["content"]
 lowerCamelCase				:		Dict     =   requests.get(image_url).content
 lowerCamelCase				:		Optional[int]     =   F"""{datetime.now():%Y-%m-%d_%H:%M:%S}.jpg"""
 with open(file_name, "wb") as fp:
  fp.write(image_data)
 print(F"""Done. Image saved to disk as {file_name}.""")



