結果
問題 | No.2604 Initial Motion |
ユーザー |
![]() |
提出日時 | 2024-12-03 23:27:07 |
言語 | PyPy3 (7.3.15) |
結果 |
MLE
|
実行時間 | - |
コード長 | 2,760 bytes |
コンパイル時間 | 546 ms |
コンパイル使用メモリ | 82,300 KB |
実行使用メモリ | 1,575,084 KB |
最終ジャッジ日時 | 2024-12-03 23:29:19 |
合計ジャッジ時間 | 127,862 ms |
ジャッジサーバーID (参考情報) |
judge2 / judge3 |
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ファイルパターン | 結果 |
---|---|
sample | AC * 1 MLE * 2 |
other | AC * 8 TLE * 8 MLE * 23 |
ソースコード
from heapq import heappush, heappopclass Edge:def __init__(self, to, cap, cost, rev):self.to = toself.cap = capself.cost = costself.rev = revclass MinCostFlow:def __init__(self, N):self.N = Nself.G = [[] for i in range(N)]def add_edge(self, fr, to, cap, cost):forward = [to, cap, cost, None]backward = forward[3] = [fr, 0, -cost, forward]self.G[fr].append(Edge(to, cap, cost, len(self.G[to])))self.G[to].append(Edge(fr, 0, -cost, len(self.G[fr])-1))def flow(self, s, t, f):ans = 0H = [0]*self.Nprv_v = [0]*self.Nprv_e = [None]*self.Ndist = [INF]*self.Nwhile f:dist = [INF]*self.Ndist[s] = 0que = [(0, s)]while que:d, now = heappop(que)if dist[now] < d:continuer0 = dist[now] + H[now]for e in self.G[now]:if e.cap > 0 and r0 + e.cost - H[e.to] < dist[e.to]:dist[e.to] = r0 + e.cost - H[e.to]prv_v[e.to] = now; prv_e[e.to] = eheappush(que, (dist[e.to], e.to))if dist[t] == INF:return -1for i in range(self.N):H[i] += dist[i]d = fv = twhile v != s:d = min(d, prv_e[v].cap)v = prv_v[v]f -= dans += d * H[t]v = twhile v != s:e = prv_e[v]e.cap -= dself.G[e.to][e.rev].cap += dv = prv_v[v]return ansINF = 10**18def dijkstra(start):dist = [INF]*Ndist[start] = 0visited = [False]*Nque = [(0, start)]while que:d, now = heappop(que)if visited[now]:continuevisited[now] = Truefor next, weight in G[now]:if dist[now]+weight < dist[next]:dist[next] = dist[now]+weightheappush(que, (dist[next], next))return distK, N, M = map(int, input().split())A = list(map(int, input().split()))B = list(map(int, input().split()))G = [[] for _ in range(N)]for _ in range(M):U, V, D = map(int, input().split())G[U-1].append((V-1, D))G[V-1].append((U-1, D))dist = []for i in range(N):dist.append(dijkstra(i))MCF = MinCostFlow(K+N+2)for i in range(K):MCF.add_edge(K+N, i, 1, 0)for i in range(N):MCF.add_edge(K+i, K+N+1, B[i], 0)for i in range(K):for j in range(N):MCF.add_edge(i, K+j, 1, dist[A[i]-1][j])print(MCF.flow(K+N, K+N+1, K))