



def     __a					(		__UpperCAmelCase							,  __UpperCAmelCase							,  __UpperCAmelCase							,  __UpperCAmelCase       ):
 # Return True if there is node that has not iterated.
 a__												= [False] * len(__UpperCAmelCase       )
 a__												= []
 queue.append(__UpperCAmelCase       )
 a__												= True

 while queue:
  a__												= queue.pop(0       )
  for ind in range(len(graph[u]       )       ):
   if visited[ind] is False and graph[u][ind] > 0:
    queue.append(__UpperCAmelCase       )
    a__												= True
    a__												= u

 return visited[t]






def     __a					(		__UpperCAmelCase							,  __UpperCAmelCase							,  __UpperCAmelCase       ):
 # This array is filled by BFS and to store path
 a__												= [-1] * (len(__UpperCAmelCase       ))
 a__												= 0
 while bfs(__UpperCAmelCase							,  __UpperCAmelCase							,  __UpperCAmelCase							,  __UpperCAmelCase       ):
  a__												= float('''Inf'''       )
  a__												= sink

  while s != source:
   # Find the minimum value in select path
   a__												= min(__UpperCAmelCase							,  graph[parent[s]][s]       )
   a__												= parent[s]

  max_flow += path_flow
  a__												= sink

  while v != source:
   a__												= parent[v]
   graph[u][v] -= path_flow
   graph[v][u] += path_flow
   a__												= parent[v]
 return max_flow


a_      :      Dict    =     [
    [0, 16, 13, 0, 0, 0],
    [0, 0, 10, 12, 0, 0],
    [0, 4, 0, 0, 14, 0],
    [0, 0, 9, 0, 0, 20],
    [0, 0, 0, 7, 0, 4],
    [0, 0, 0, 0, 0, 0],
]

a_ ,     a_      :      Union[str, Any]    =     0, 5

print(ford_fulkerson(graph, source, sink))










import requests
from bsa import BeautifulSoup






def     __a					(		__UpperCAmelCase							,  __UpperCAmelCase       ):
 a__												= BeautifulSoup(requests.get(__UpperCAmelCase							,  params=__UpperCAmelCase       ).content							,  '''html.parser'''       )
 a__												= soup.find('''div'''							,  attrs={'''class''': '''gs_ri'''}       )
 a__												= div.find('''div'''							,  attrs={'''class''': '''gs_fl'''}       ).find_all('''a'''       )
 return anchors[2].get_text()


if __name__ == "__main__":
     a_      :      Optional[Any]    =     {
         'title': (
             'Precisely geometry controlled microsupercapacitors for ultrahigh areal '
             'capacitance, volumetric capacitance, and energy density'
         ),
         'journal': 'Chem. Mater.',
         'volume': 30,
         'pages': '3979-3990',
         'year': 20_18,
         'hl': 'en',
     }
     print(get_citation('https://scholar.google.com/scholar_lookup', params=params))





