結果
問題 | No.1301 Strange Graph Shortest Path |
ユーザー | None |
提出日時 | 2021-04-18 18:30:44 |
言語 | PyPy3 (7.3.15) |
結果 |
WA
|
実行時間 | - |
コード長 | 3,840 bytes |
コンパイル時間 | 263 ms |
コンパイル使用メモリ | 82,432 KB |
実行使用メモリ | 129,404 KB |
最終ジャッジ日時 | 2024-07-04 04:44:25 |
合計ジャッジ時間 | 22,880 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 | 43 ms
53,376 KB |
testcase_01 | AC | 41 ms
53,120 KB |
testcase_02 | WA | - |
testcase_03 | AC | 500 ms
110,612 KB |
testcase_04 | AC | 672 ms
127,944 KB |
testcase_05 | AC | 450 ms
112,932 KB |
testcase_06 | AC | 616 ms
122,312 KB |
testcase_07 | AC | 627 ms
119,224 KB |
testcase_08 | AC | 521 ms
112,264 KB |
testcase_09 | AC | 621 ms
120,764 KB |
testcase_10 | WA | - |
testcase_11 | AC | 633 ms
122,460 KB |
testcase_12 | AC | 636 ms
124,364 KB |
testcase_13 | AC | 607 ms
118,864 KB |
testcase_14 | AC | 609 ms
119,004 KB |
testcase_15 | AC | 566 ms
117,364 KB |
testcase_16 | AC | 683 ms
128,568 KB |
testcase_17 | AC | 597 ms
120,592 KB |
testcase_18 | AC | 544 ms
115,404 KB |
testcase_19 | AC | 666 ms
123,324 KB |
testcase_20 | AC | 624 ms
124,364 KB |
testcase_21 | AC | 623 ms
119,880 KB |
testcase_22 | AC | 637 ms
126,428 KB |
testcase_23 | AC | 597 ms
118,600 KB |
testcase_24 | AC | 627 ms
124,756 KB |
testcase_25 | AC | 676 ms
126,092 KB |
testcase_26 | AC | 631 ms
119,888 KB |
testcase_27 | AC | 657 ms
122,860 KB |
testcase_28 | AC | 490 ms
114,612 KB |
testcase_29 | WA | - |
testcase_30 | AC | 660 ms
125,008 KB |
testcase_31 | AC | 634 ms
126,368 KB |
testcase_32 | WA | - |
testcase_33 | WA | - |
testcase_34 | AC | 559 ms
126,140 KB |
ソースコード
class Graph: def __init__(self, n, directed=False, decrement=True, edges=[]): self.n = n self.directed = directed self.decrement = decrement self.edges = [[] for _ in range(self.n)] for x, y, cost in edges: self.add_edge(x, y, cost) def add_edge(self, x, y, cost): if self.decrement: x -= 1 y -= 1 self.edges[x].append((y, cost)) if self.directed == False: self.edges[y].append((x, cost)) def dijkstra(self, start=None, INF=10**18): """ 返り値は 0-indexed !!! :param start: スタート地点 :return: スタート地点から各点への距離のリスト 備考: heqpq の比較のための key は第一引数である点に注意( = heappush(heapq, (key,value)) ) """ self.parent=parent=[-1]*N res = [INF] * self.n if start is None: start=self.decrement start=start-self.decrement res[start] = 0 next_set = [(0, start)] while next_set: dist, p = heappop(next_set) if res[p] < dist: continue """ここで頂点pまでの最短距離が確定。よって、ここを通るのはN回のみ""" for q, cost in self.edges[p]: temp_d = dist + cost if temp_d < res[q]: res[q] = temp_d parent[q] = p heappush(next_set, (temp_d, q)) return res def path_restoring(self,start,goal): start,goal=start-self.decrement,goal-self.decrement q=goal res=[] while q!=start: res.append(q+self.decrement) q=self.parent[q] if q<0: return -1 res.append(start+self.decrement) return res[::-1] def draw(self): """ :return: グラフを可視化 """ import matplotlib.pyplot as plt import networkx as nx if self.directed: G = nx.DiGraph() else: G = nx.Graph() for x in range(self.n): for y, cost in self.edges[x]: G.add_edge(x + self.decrement, y + self.decrement, weight=cost) edge_labels = {(i, j): w['weight'] for i, j, w in G.edges(data=True)} pos = nx.spring_layout(G) nx.draw_networkx(G, pos, with_labels=True, connectionstyle='arc3, rad = 0.1') nx.draw_networkx_edge_labels(G, pos, edge_labels=edge_labels) plt.axis("off") plt.show() ######################################################### def example(): global input example = iter( """ 3 3 1 2 1 1 3 1 2 3 3 """ .strip().split("\n")) input = lambda: next(example) def example2(): global input example = iter( """ 6 9 1 2 7 2 3 10 1 3 9 1 6 14 3 6 2 5 6 9 4 5 6 2 4 15 3 4 11 """ .strip().split("\n")) input = lambda: next(example) ######################################################### import sys from heapq import * input = sys.stdin.readline # example2() INF = 10**18 # 大きい数字 N, M = map(int, input().split()) graph = Graph(N, directed=False, decrement=True) data=[] for _ in range(M): x, y, cost, cost2 = map(int, input().split()) graph.add_edge(x, y, cost) data.append((x,y,cost,cost2)) dist = graph.dijkstra(start=1,INF=INF) path=graph.path_restoring(1,N) used=set() for i in range(len(path)-1): used.add((path[i],path[i+1])) used.add((path[i+1],path[i])) graph2 = Graph(N, directed=False, decrement=True) for x, y, cost, cost2 in data: if (x,y) in used: graph2.add_edge(x, y, cost2) else: graph2.add_edge(x, y, cost) dist2 = graph2.dijkstra(start=1,INF=INF) print(dist[-1]+dist2[-1])