結果
問題 |
No.1745 Selfish Spies 2 (à la Princess' Perfectionism)
|
ユーザー |
![]() |
提出日時 | 2025-04-24 12:22:23 |
言語 | PyPy3 (7.3.15) |
結果 |
WA
|
実行時間 | - |
コード長 | 3,849 bytes |
コンパイル時間 | 250 ms |
コンパイル使用メモリ | 82,096 KB |
実行使用メモリ | 160,124 KB |
最終ジャッジ日時 | 2025-04-24 12:24:35 |
合計ジャッジ時間 | 17,376 ms |
ジャッジサーバーID (参考情報) |
judge4 / judge5 |
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ファイルパターン | 結果 |
---|---|
other | AC * 27 WA * 32 |
ソースコード
import sys from collections import deque def main(): input = sys.stdin.read().split() ptr = 0 N = int(input[ptr]); ptr += 1 M = int(input[ptr]); ptr += 1 L = int(input[ptr]); ptr += 1 edges = [] adj = [[] for _ in range(N)] for _ in range(L): S = int(input[ptr]) - 1; ptr += 1 T = int(input[ptr]) - 1; ptr += 1 edges.append((S, T)) adj[S].append(T) # Hopcroft-Karp algorithm to find maximum matching pair_u = [-1] * N pair_v = [-1] * M dist = [0] * N def bfs(): queue = deque() for u in range(N): if pair_u[u] == -1: dist[u] = 0 queue.append(u) else: dist[u] = float('inf') dist_null = float('inf') while queue: u = queue.popleft() if dist[u] < dist_null: for v in adj[u]: if pair_v[v] == -1: dist_null = dist[u] + 1 elif dist[pair_v[v]] == float('inf'): dist[pair_v[v]] = dist[u] + 1 queue.append(pair_v[v]) return dist_null != float('inf') def dfs(u): for v in adj[u]: if pair_v[v] == -1 or (dist[pair_v[v]] == dist[u] + 1 and dfs(pair_v[v])): pair_u[u] = v pair_v[v] = u return True dist[u] = float('inf') return False result = 0 while bfs(): for u in range(N): if pair_u[u] == -1: if dfs(u): result += 1 # Build residual graph residual = [[] for _ in range(N + M)] for s, t in edges: if pair_u[s] == t: task_node = N + t residual[task_node].append(s) else: task_node = N + t residual[s].append(task_node) # Kosaraju's algorithm to find SCCs def kosaraju(graph, num_nodes): visited = [False] * num_nodes order = [] for i in range(num_nodes): if not visited[i]: stack = [(i, False)] while stack: node, processed = stack.pop() if processed: order.append(node) continue if visited[node]: continue visited[node] = True stack.append((node, True)) for neighbor in reversed(graph[node]): if not visited[neighbor]: stack.append((neighbor, False)) reversed_graph = [[] for _ in range(num_nodes)] for u in range(num_nodes): for v in graph[u]: reversed_graph[v].append(u) visited = [False] * num_nodes component = [0] * num_nodes current = 0 while order: node = order.pop() if not visited[node]: stack = [node] visited[node] = True comp = [] while stack: u = stack.pop() comp.append(u) for v in reversed_graph[u]: if not visited[v]: visited[v] = True stack.append(v) for u in comp: component[u] = current current += 1 return component component = kosaraju(residual, N + M) # Process each query for s, t in edges: if pair_u[s] == t: print("Yes") else: task_node = N + t if component[s] == component[task_node]: print("Yes") else: print("No") if __name__ == "__main__": main()