結果
問題 | No.1301 Strange Graph Shortest Path |
ユーザー | toyuzuko |
提出日時 | 2020-12-06 12:01:11 |
言語 | PyPy3 (7.3.15) |
結果 |
AC
|
実行時間 | 1,092 ms / 3,000 ms |
コード長 | 3,466 bytes |
コンパイル時間 | 154 ms |
コンパイル使用メモリ | 82,152 KB |
実行使用メモリ | 208,468 KB |
最終ジャッジ日時 | 2024-09-17 11:03:03 |
合計ジャッジ時間 | 30,599 ms |
ジャッジサーバーID (参考情報) |
judge2 / judge5 |
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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 |
---|---|---|
testcase_00 | AC | 40 ms
53,216 KB |
testcase_01 | AC | 42 ms
53,724 KB |
testcase_02 | AC | 855 ms
202,412 KB |
testcase_03 | AC | 740 ms
184,804 KB |
testcase_04 | AC | 970 ms
208,080 KB |
testcase_05 | AC | 818 ms
201,712 KB |
testcase_06 | AC | 977 ms
196,664 KB |
testcase_07 | AC | 896 ms
195,956 KB |
testcase_08 | AC | 798 ms
185,432 KB |
testcase_09 | AC | 738 ms
188,868 KB |
testcase_10 | AC | 768 ms
185,744 KB |
testcase_11 | AC | 883 ms
201,620 KB |
testcase_12 | AC | 875 ms
200,944 KB |
testcase_13 | AC | 748 ms
201,112 KB |
testcase_14 | AC | 951 ms
189,700 KB |
testcase_15 | AC | 771 ms
189,320 KB |
testcase_16 | AC | 898 ms
208,468 KB |
testcase_17 | AC | 926 ms
206,116 KB |
testcase_18 | AC | 883 ms
191,104 KB |
testcase_19 | AC | 762 ms
195,904 KB |
testcase_20 | AC | 803 ms
194,768 KB |
testcase_21 | AC | 814 ms
202,324 KB |
testcase_22 | AC | 914 ms
198,012 KB |
testcase_23 | AC | 775 ms
203,024 KB |
testcase_24 | AC | 934 ms
195,676 KB |
testcase_25 | AC | 879 ms
206,492 KB |
testcase_26 | AC | 841 ms
195,880 KB |
testcase_27 | AC | 775 ms
200,384 KB |
testcase_28 | AC | 793 ms
193,416 KB |
testcase_29 | AC | 1,092 ms
208,296 KB |
testcase_30 | AC | 800 ms
205,532 KB |
testcase_31 | AC | 910 ms
206,276 KB |
testcase_32 | AC | 41 ms
53,632 KB |
testcase_33 | AC | 494 ms
196,932 KB |
testcase_34 | AC | 775 ms
208,156 KB |
ソースコード
from heapq import heappop, heappush, heapify class MinCostFlow(): def __init__(self, n): self.n = n self.graph = [[] for _ in range(n)] self.pos = [] def add_edge(self, fr, to, cap, cost): #assert 0 <= fr < self.n #assert 0 <= to < self.n m = len(self.pos) self.pos.append((fr, len(self.graph[fr]))) self.graph[fr].append([to, len(self.graph[to]), cap, cost]) self.graph[to].append([fr, len(self.graph[fr]) - 1, 0, -cost]) return m def get_edge(self, idx): #assert 0 <= idx < len(self.pos) to, rev, cap, cost = self.graph[self.pos[idx][0]][self.pos[idx][1]] rev_to, rev_rev, rev_cap, rev_cost = self.graph[to][rev] return self.pos[idx][0], to, cap + rev_cap, rev_cap, cost def edges(self): for i in range(len(self.pos)): yield self.get_edge(i) def dual_ref(self, s, t): dist = [2**63 - 1] * self.n dist[s] = 0 vis = [0] * self.n self.pv = [-1] * self.n self.pe = [-1] * self.n queue = [] heappush(queue, (0, s)) while queue: k, v = heappop(queue) if vis[v]: continue vis[v] = True if v == t: break for i in range(len(self.graph[v])): to, rev, cap, cost = self.graph[v][i] if vis[to] or cap == 0: continue cost += self.dual[v] - self.dual[to] if dist[to] - dist[v] > cost: dist[to] = dist[v] + cost self.pv[to] = v self.pe[to] = i heappush(queue, (dist[to], to)) if not vis[t]: return False for v in range(self.n): if not vis[v]: continue self.dual[v] -= dist[t] - dist[v] return True def flow(self, s, t): return self.flow_with_limit(s, t, 2**63 - 1) def flow_with_limit(self, s, t, limit): return self.slope_with_limit(s, t, limit)[-1] def slope(self, s, t): return self.slope_with_limit(s, t, 2**63 - 1) def slope_with_limit(self, s, t, limit): #assert 0 <= s < self.n #assert 0 <= t < self.n #assert s != t flow = 0 cost = 0 prev_cost = -1 res = [(flow, cost)] self.dual = [0] * self.n while flow < limit: if not self.dual_ref(s, t): break c = limit - flow v = t while v != s: c = min(c, self.graph[self.pv[v]][self.pe[v]][2]) v = self.pv[v] v = t while v != s: to, rev, cap, _ = self.graph[self.pv[v]][self.pe[v]] self.graph[self.pv[v]][self.pe[v]][2] -= c self.graph[v][rev][2] += c v = self.pv[v] d = -self.dual[s] flow += c cost += c * d if prev_cost == d: res.pop() res.append((flow, cost)) prev_cost = cost return res import io, os input = io.BytesIO(os.read(0, os.fstat(0).st_size)).readline N, M = map(int, input().split()) mcf = MinCostFlow(N) for _ in range(M): u, v, c, d = map(int, input().split()) mcf.add_edge(u - 1, v - 1, 1, c) mcf.add_edge(v - 1, u - 1, 1, c) mcf.add_edge(u - 1, v - 1, 1, d) mcf.add_edge(v - 1, u - 1, 1, d) print(mcf.flow_with_limit(0, N - 1, 2)[1])