





"""simple docstring"""


def 					lowercase__    (					lowercase_		,lowercase_		,lowercase_		,lowercase_			)					->		bool:




      """simple docstring"""

      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 					lowercase__    (					lowercase_		,lowercase_		,lowercase_			)					->		bool:




      """simple docstring"""

      if curr_ind == len(lowercase_			):
            # 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(lowercase_			)			):
            if valid_connection(lowercase_		,lowercase_		,lowercase_		,lowercase_			):
                  # Insert current vertex  into path as next transition
                  _UpperCamelCase      :	Any						=       next_ver
                  # Validate created path
                  if util_hamilton_cycle(lowercase_		,lowercase_		,curr_ind + 1			):
                        return True
                  # Backtrack
                  _UpperCamelCase      :	str						=       -1
      return False




def 					lowercase__    (					lowercase_		,lowercase_ = 0			)					->		list[int]:




      """simple docstring"""

      _UpperCamelCase      :	Dict						=       [-1] * (len(lowercase_			) + 1)
      # initialize start and end of path with starting index
      _UpperCamelCase      :	Union[str, Any]						=       start_index
      # evaluate and if we find answer return path either return empty array
      return path if util_hamilton_cycle(lowercase_		,lowercase_		,1			) else []







"""simple docstring"""


from datetime import datetime

import requests
from bsa import BeautifulSoup

if __name__ == "__main__":
  lowerCamelCase__				  =   input("Enter image url: ").strip()
  print(f"""Downloading image from {url} ...""")
  lowerCamelCase__				  =   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__				  =   soup.find("meta", {"property": "og:image"})["content"]
  lowerCamelCase__				  =   requests.get(image_url).content
  lowerCamelCase__				  =   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}.""")
