結果
問題 | No.1069 電柱 / Pole (Hard) |
ユーザー | vwxyz |
提出日時 | 2021-12-27 08:51:43 |
言語 | Python3 (3.12.2 + numpy 1.26.4 + scipy 1.12.0) |
結果 |
TLE
|
実行時間 | - |
コード長 | 7,409 bytes |
コンパイル時間 | 220 ms |
コンパイル使用メモリ | 13,696 KB |
実行使用メモリ | 58,652 KB |
最終ジャッジ日時 | 2024-09-25 02:35:39 |
合計ジャッジ時間 | 4,303 ms |
ジャッジサーバーID (参考情報) |
judge3 / judge4 |
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テストケース
テストケース表示入力 | 結果 | 実行時間 実行使用メモリ |
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testcase_00 | AC | 32 ms
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testcase_01 | AC | 34 ms
11,904 KB |
testcase_02 | AC | 34 ms
11,776 KB |
testcase_03 | AC | 34 ms
11,776 KB |
testcase_04 | TLE | - |
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ソースコード
import heapq import math import sys readline=sys.stdin.readline class Graph: def __init__(self,V,edges=False,graph=False,directed=False,weighted=False,inf=float("inf")): self.V=V self.directed=directed self.weighted=weighted self.inf=inf if not graph: self.edges=edges self.graph=[[] for i in range(self.V)] if weighted: for i,j,d in self.edges: self.graph[i].append((j,d)) if not self.directed: self.graph[j].append((i,d)) else: for i,j in self.edges: self.graph[i].append(j) if not self.directed: self.graph[j].append(i) else: self.graph=graph self.edges=[] for i in range(self.V): if self.weighted: for j,d in self.graph[i]: if self.directed or not self.directed and i<=j: self.edges.append((i,j,d)) else: for j in self.graph[i]: if self.directed or not self.directed and i<=j: self.edges.append((i,j)) def Dijkstra(self,s,route_restoration=False): dist=[self.inf]*self.V dist[s]=0 hq=[(0,s)] if route_restoration: parents=[None]*self.V while hq: dx,x=heapq.heappop(hq) if dist[x]<dx: continue for y,dy in self.graph[x]: if dist[y]>dx+dy: dist[y]=dx+dy if route_restoration: parents[y]=x heapq.heappush(hq,(dist[y],y)) if route_restoration: return dist,parents else: return dist def Route_Restoration(self,s,g,parents,reverse=False): route=[g] while s!=g: if parents[g]==None: route=[] break g=parents[g] route.append(g) if not reverse: route=route[::-1] return route def K_Shortest_Path_Routing(self,s,t,K,edge_unicursal=False,point_unicursal=False): if point_unicursal: dist,parents=self.Dijkstra(s,route_restoration=True) route=tuple(self.Route_Restoration(s,t,parents)) queue=[(dist[t],route,[dist[x] for x in route])] set_queue=set() set_queue.add(route) retu=[] while queue and K: d,route,route_dist=heapq.heappop(queue) retu.append((d,route,route_dist)) K-=1 set_route=set() for i in range(len(route)-1): x=route[i] set_route.add(x) edges=[(v,u,d) for u,v,d in self.edges if not u in set_route and not v in set_route] G_rev=Graph(self.V,edges=edges,directed=self.directed,weighted=self.weighted,inf=self.inf) dist_rev,parents_rev=G_rev.Dijkstra(t,route_restoration=True) for y,d in self.graph[x]: if y==route[i+1]: continue if dist_rev[y]==self.inf: continue tpl=route[:i+1]+tuple(self.Route_Restoration(t,y,parents_rev,reverse=True)) if not tpl in set_queue: heapq.heappush(queue,(route_dist[i]+d+dist_rev[y],tpl,route_dist[:i+1]+[route_dist[i]+d+dist_rev[y]-dist_rev[z] for z in tpl[i+1:]])) set_queue.add(tpl) elif edge_unicursal: dist,parents=self.Dijkstra(s,route_restoration=True) route=tuple(self.Route_Restoration(s,t,parents)) queue=[(dist[t],route,[dist[x] for x in route])] set_queue=set() set_queue.add(route) retu=[] while queue and K: d,route,route_dist=heapq.heappop(queue) retu.append((d,route,route_dist)) K-=1 set_route=set() for i in range(len(route)-1): x=route[i] y=route[i+1] set_route.add((x,y,route_dist[i+1]-route_dist[i])) if not self.directed: set_route.add((y,x,route_dist[i+1]-route_dist[i])) edges=[(v,u,d) for u,v,d in self.edges if not (u,v,d) in set_route] G_rev=Graph(self.V,edges=edges,directed=self.directed,weighted=self.weighted,inf=self.inf) dist_rev,parents_rev=G_rev.Dijkstra(t,route_restoration=True) for y,d in self.graph[x]: if y==route[i+1]: continue if dist_rev[y]==self.inf: continue tpl=route[:i+1]+tuple(self.Route_Restoration(t,y,parents_rev,reverse=True)) if not tpl in set_queue: heapq.heappush(queue,(route_dist[i]+d+dist_rev[y],tpl,route_dist[:i+1]+[route_dist[i]+d+dist_rev[y]-dist_rev[z] for z in tpl[i+1:]])) set_queue.add(tpl) else: dist,parents=self.Dijkstra(s,route_restoration=True) if dist[t]==self.inf: return False route_lst=[tuple(self.Route_Restoration(s,x,parents)) for x in range(self.V)] edges_rev=[(j,i,d) for i,j,d in self.edges] G_rev=Graph(self.V,edges=edges_rev,weighted=self.weighted,directed=self.directed,inf=self.inf) dist_rev,parents_rev=G_rev.Dijkstra(t,route_restoration=True) route_rev_lst=[] for x in range(self.V): route_rev_lst.append(tuple(self.Route_Restoration(t,x,parents_rev,reverse=True))) route=route_lst[t] queue=[(dist[t],route,[dist[x] for x in route])] set_queue=set() set_queue.add(route) retu=[] while queue and K: d,route,route_dist=heapq.heappop(queue) retu.append((d,route,route_dist)) K-=1 for i in range(len(route)-1): x=route[i] for y,d in self.graph[x]: if y==route[i+1]: continue tpl=route[:i+1]+route_rev_lst[y] if not tpl in set_queue: heapq.heappush(queue,(route_dist[i]+d+dist_rev[y],tpl,route_dist[:i+1]+[route_dist[i]+d+dist_rev[y]-dist_rev[z] for z in route_rev_lst[y]])) set_queue.add(tpl) return retu N,M,K=map(int,readline().split()) S,T=map(int,readline().split()) S-=1;T-=1 X,Y=[],[] for _ in range(N): x,y=map(int,readline().split()) X.append(x) Y.append(y) edges=[] for _ in range(M): P,Q=map(int,readline().split()) P-=1;Q-=1 edges.append((P,Q,math.sqrt((X[P]-X[Q])**2+(Y[P]-Y[Q])**2))) G=Graph(N,edges=edges,weighted=True) ans_lst=[-1]*K for i,(d,route,dist) in enumerate(G.K_Shortest_Path_Routing(S,T,K,edge_unicursal=True)): ans_lst[i]=d print(*ans_lst,sep="\n")