


'''simple docstring'''




import shutil

import requests





def 				a_							(    lowercase				,    lowercase = False				,    lowercase = "."     )      ->dict:






				'''simple docstring'''

				__lowerCamelCase		:   Dict           =       "https://api.nasa.gov/planetary/apod"
				return requests.get(lowercase				,    params={"api_key": api_key}     ).json()





def 				a_							(    lowercase				,    lowercase = "."     )      ->dict:






				'''simple docstring'''

				__lowerCamelCase		:   Union[str, Any]           =       get_apod_data(lowercase     )
				__lowerCamelCase		:   List[Any]           =       apod_data["url"]
				__lowerCamelCase		:   List[Any]           =       img_url.split("/"     )[-1]
				__lowerCamelCase		:   str           =       requests.get(lowercase				,    stream=lowercase     )

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





def 				a_							(    lowercase     )      ->dict:






				'''simple docstring'''

				__lowerCamelCase		:   int           =       "https://images-api.nasa.gov/search"
				return requests.get(lowercase				,    params={"q": query}     ).json()


if __name__ == "__main__":
				print(save_apod("""YOUR API KEY"""))
				__lowercase	:   Optional[int]   		=					get_archive_data("""apollo 2011""")["""collection"""]["""items"""]
				print(apollo_aaaa_items[0]["""data"""][0]["""description"""])









'''simple docstring'''




import math
import sys





class _snake_case :
							"""simple docstring"""





							def __init__( self						)  ->int:



											"""simple docstring"""







											__lowerCamelCase		:   int           =       0
											__lowerCamelCase		:   str           =       []
											__lowerCamelCase		:   int           =       {}  # To store the pos of node in array







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



											"""simple docstring"""







											return self.cur_size == 0







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



											"""simple docstring"""







											__lowerCamelCase		:   Any           =       self.left(__A						)
											__lowerCamelCase		:   Any           =       self.right(__A						)
											if lc < self.cur_size and self.array(__A						)[0] < self.array(__A						)[0]:
															__lowerCamelCase		:   Dict           =       lc
											else:
															__lowerCamelCase		:   List[Any]           =       idx
											if rc < self.cur_size and self.array(__A						)[0] < self.array(__A						)[0]:
															__lowerCamelCase		:   List[str]           =       rc
											if smallest != idx:
															self.swap(__A      ,					__A						)
															self.min_heapify(__A						)







							def 		__SCREAMING_SNAKE_CASE( self      ,					__A						)  ->str:



											"""simple docstring"""







											__lowerCamelCase		:   Optional[Any]           =       self.cur_size
											self.cur_size += 1
											self.array.append((sys.maxsize, tup[1])						)
											self.decrease_key((sys.maxsize, tup[1])      ,					tup[0]						)







							def 		__SCREAMING_SNAKE_CASE( self						)  ->int:



											"""simple docstring"""







											__lowerCamelCase		:   Tuple           =       self.array[0][1]
											__lowerCamelCase		:   str           =       self.array[self.cur_size - 1]
											self.cur_size -= 1
											self.min_heapify(1						)
											del self.pos[min_node]
											return min_node







							def 		__SCREAMING_SNAKE_CASE( self      ,					__A						)  ->int:



											"""simple docstring"""







											return 2 * i + 1







							def 		__SCREAMING_SNAKE_CASE( self      ,					__A						)  ->Optional[Any]:



											"""simple docstring"""







											return 2 * i + 2







							def 		__SCREAMING_SNAKE_CASE( self      ,					__A						)  ->Tuple:



											"""simple docstring"""







											return math.floor(i / 2						)







							def 		__SCREAMING_SNAKE_CASE( self      ,					__A      ,					__A						)  ->List[Any]:



											"""simple docstring"""







											__lowerCamelCase		:   Union[str, Any]           =       j
											__lowerCamelCase		:   str           =       i
											__lowerCamelCase		:   Dict           =       self.array[i]
											__lowerCamelCase		:   Union[str, Any]           =       self.array[j]
											__lowerCamelCase		:   str           =       temp







							def 		__SCREAMING_SNAKE_CASE( self      ,					__A      ,					__A						)  ->Optional[Any]:



											"""simple docstring"""







											__lowerCamelCase		:   str           =       self.pos[tup[1]]
											# assuming the new_d is atmost old_d
											__lowerCamelCase		:   Union[str, Any]           =       (new_d, tup[1])
											while idx > 0 and self.array[self.par(__A						)][0] > self.array[idx][0]:
															self.swap(__A      ,					self.par(__A						)						)
															__lowerCamelCase		:   List[Any]           =       self.par(__A						)





class _snake_case :
							"""simple docstring"""





							def __init__( self      ,					__A						)  ->Any:



											"""simple docstring"""







											__lowerCamelCase		:   Dict           =       {}  # To store graph: u -> (v,w)
											__lowerCamelCase		:   Optional[Any]           =       num  # Number of nodes in graph
											# To store the distance from source vertex
											__lowerCamelCase		:   Dict           =       [0] * self.num_nodes
											__lowerCamelCase		:   List[str]           =       [-1] * self.num_nodes  # To store the path







							def 		__SCREAMING_SNAKE_CASE( self      ,					__A      ,					__A      ,					__A						)  ->Optional[Any]:



											"""simple docstring"""







											if u in self.adjList:
															self.adjList[u].append((v, w)						)
											else:
															__lowerCamelCase		:   Dict           =       [(v, w)]

											# Assuming undirected graph
											if v in self.adjList:
															self.adjList[v].append((u, w)						)
											else:
															__lowerCamelCase		:   List[Any]           =       [(u, w)]







							def 		__SCREAMING_SNAKE_CASE( self						)  ->Tuple:



											"""simple docstring"""







											for u in self.adjList:
															print(__A      ,					"->"      ,					" -> ".join(str(f'{v}({w})'						) for v, w in self.adjList[u]						)						)







							def 		__SCREAMING_SNAKE_CASE( self      ,					__A						)  ->int:



											"""simple docstring"""







											__lowerCamelCase		:   List[str]           =       [-1] * self.num_nodes
											# src is the source node
											__lowerCamelCase		:   str           =       0
											__lowerCamelCase		:   int           =       PriorityQueue()
											q.insert((0, src)						)  # (dist from src, node)
											for u in self.adjList:
															if u != src:
																			__lowerCamelCase		:   List[Any]           =       sys.maxsize  # Infinity
																			__lowerCamelCase		:   Dict           =       -1

											while not q.is_empty():
															__lowerCamelCase		:   int           =       q.extract_min()  # Returns node with the min dist from source
															# Update the distance of all the neighbours of u and
															# if their prev dist was INFINITY then push them in Q
															for v, w in self.adjList[u]:
																			__lowerCamelCase		:   str           =       self.dist[u] + w
																			if self.dist[v] > new_dist:
																							if self.dist[v] == sys.maxsize:
																											q.insert((new_dist, v)						)
																							else:
																											q.decrease_key((self.dist[v], v)      ,					__A						)
																							__lowerCamelCase		:   str           =       new_dist
																							__lowerCamelCase		:   Tuple           =       u

        # Show the shortest distances from src
											self.show_distances(__A						)







							def 		__SCREAMING_SNAKE_CASE( self      ,					__A						)  ->int:



											"""simple docstring"""







											print(f'Distance from node: {src}'						)
											for u in range(self.num_nodes						):
															print(f'Node {u} has distance: {self.dist[u]}'						)







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



											"""simple docstring"""







											__lowerCamelCase		:   List[Any]           =       []
											__lowerCamelCase		:   Tuple           =       0
											__lowerCamelCase		:   List[str]           =       dest
											# Backtracking from dest to src
											while self.par[temp] != -1:
															path.append(__A						)
															if temp != src:
																			for v, w in self.adjList[temp]:
																							if v == self.par[temp]:
																											cost += w
																											break
															__lowerCamelCase		:   int           =       self.par[temp]
											path.append(__A						)
											path.reverse()

											print(f'----Path to reach {dest} from {src}----'						)
											for u in path:
															print(f'{u}'      ,					end=" "						)
															if u != dest:
																			print("-> "      ,					end=""						)

											print("\nTotal cost of path: "      ,					__A						)


if __name__ == "__main__":
				__lowercase	:   Optional[Any]   		=					Graph(9)
				graph.add_edge(0, 1, 4)
				graph.add_edge(0, 7, 8)
				graph.add_edge(1, 2, 8)
				graph.add_edge(1, 7, 11)
				graph.add_edge(2, 3, 7)
				graph.add_edge(2, 8, 2)
				graph.add_edge(2, 5, 4)
				graph.add_edge(3, 4, 9)
				graph.add_edge(3, 5, 14)
				graph.add_edge(4, 5, 10)
				graph.add_edge(5, 6, 2)
				graph.add_edge(6, 7, 1)
				graph.add_edge(6, 8, 6)
				graph.add_edge(7, 8, 7)
				graph.show_graph()
				graph.dijkstra(0)
				graph.show_path(0, 4)

# OUTPUT
# 0 -> 1(4) -> 7(8)
# 1 -> 0(4) -> 2(8) -> 7(11)
# 7 -> 0(8) -> 1(11) -> 6(1) -> 8(7)
# 2 -> 1(8) -> 3(7) -> 8(2) -> 5(4)
# 3 -> 2(7) -> 4(9) -> 5(14)
# 8 -> 2(2) -> 6(6) -> 7(7)
# 5 -> 2(4) -> 3(14) -> 4(10) -> 6(2)
# 4 -> 3(9) -> 5(10)
# 6 -> 5(2) -> 7(1) -> 8(6)
# Distance from node: 0
# Node 0 has distance: 0
# Node 1 has distance: 4
# Node 2 has distance: 12
# Node 3 has distance: 19
# Node 4 has distance: 21
# Node 5 has distance: 11
# Node 6 has distance: 9
# Node 7 has distance: 8
# Node 8 has distance: 14
# ----Path to reach 4 from 0----
# 0 -> 7 -> 6 -> 5 -> 4
# Total cost of path:  21





