
"""simple docstring"""




a		:					Any    	=					float('inf')







class 						lowercase:



     def __init__(       self    ,							__SCREAMING_SNAKE_CASE      )		->    Union[str, Any]:







         """simple docstring"""



         a__    = [0] * n
         a__    = [0] * n
         a__    = [0] * n
         a__    = [[] for _ in range(__SCREAMING_SNAKE_CASE      )]



     def  lowercase__     (       self    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE=0      )		->    Optional[int]:







         """simple docstring"""



         self.adj[a].append([b, len(self.adj[b]      ), c, 0]      )
         self.adj[b].append([a, len(self.adj[a]      ) - 1, rcap, 0]      )



     def  lowercase__     (       self    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE      )		->    Dict:







         """simple docstring"""



         if vertex == sink or not flow:
             return flow

         for i in range(self.ptr[vertex]    ,							len(self.adj[vertex]      )      ):
             a__    = self.adj[vertex][i]
             if self.lvl[e[0]] == self.lvl[vertex] + 1:
                 a__    = self.depth_first_search(e[0]    ,							__SCREAMING_SNAKE_CASE    ,							min(__SCREAMING_SNAKE_CASE    ,							e[2] - e[3]      )      )
                 if p:
                     self.adj[vertex][i][3] += p
                     self.adj[e[0]][e[1]][3] -= p
                     return p
             a__    = self.ptr[vertex] + 1
         return 0




     def  lowercase__     (       self    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE      )		->    Optional[int]:







         """simple docstring"""



         a__  ,    a__    = 0, source
         for l in range(3_1      ):  # noqa: E741  l = 30 maybe faster for random data
             while True:
                 a__  ,    a__    = [0] * len(self.q      ), [0] * len(self.q      )
                 a__  ,    a__  ,    a__    = 0, 1, 1
                 while qi < qe and not self.lvl[sink]:
                     a__    = self.q[qi]
                     qi += 1
                     for e in self.adj[v]:
                         if not self.lvl[e[0]] and (e[2] - e[3]) >> (3_0 - l):
                             a__    = e[0]
                             qe += 1
                             a__    = self.lvl[v] + 1

                 a__    = self.depth_first_search(__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE      )
                 while p:
                     flow += p
                     a__    = self.depth_first_search(__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE      )

                 if not self.lvl[sink]:
                     break

         return flow
a		:					Tuple    	=					Dinic(10)
a		:					Tuple    	=					0
a		:					Dict    	=					9
for vertex in range(1, 5):
    graph.add_edge(source, vertex, 1)
for vertex in range(5, 9):
    graph.add_edge(vertex, sink, 1)
for vertex in range(1, 5):
    graph.add_edge(vertex, vertex + 4, 1)

# Now we can know that is the maximum flow(source -> sink)
print(graph.max_flow(source, sink))




"""simple docstring"""




import shutil

import requests



def 						__magic_name__		(				UpperCamelCase    :		str       ,		UpperCamelCase    :		bool = False       ,		UpperCamelCase    :		str = "."    )    ->	dict:
    a__    = 'https://api.nasa.gov/planetary/apod'
    return requests.get(UpperCamelCase       ,		params={'api_key': api_key}    ).json()



def 						__magic_name__		(				UpperCamelCase    :		str       ,		UpperCamelCase    :		str = "."    )    ->	dict:
    a__    = get_apod_data(UpperCamelCase    )
    a__    = apod_data['url']
    a__    = img_url.split('/'    )[-1]
    a__    = requests.get(UpperCamelCase       ,		stream=UpperCamelCase    )

    with open(f'{path}/{img_name}'       ,		'wb+'    ) as img_file:
        shutil.copyfileobj(response.raw       ,		UpperCamelCase    )
    del response
    return apod_data



def 						__magic_name__		(				UpperCamelCase    :		str    )    ->	dict:
    a__    = 'https://images-api.nasa.gov/search'
    return requests.get(UpperCamelCase       ,		params={'q': query}    ).json()


if __name__ == "__main__":
    print(save_apod('YOUR API KEY'))
    a		:					List[Any]    	=					get_archive_data('apollo 2011')['collection']['items']
    print(apollo_aaaa_items[0]['data'][0]['description'])


