結果

問題 No.1983 [Cherry 4th Tune C] 南の島のマーメイド
ユーザー lam6er
提出日時 2025-04-15 21:09:17
言語 PyPy3
(7.3.15)
結果
MLE  
実行時間 -
コード長 5,810 bytes
コンパイル時間 300 ms
コンパイル使用メモリ 82,536 KB
実行使用メモリ 706,524 KB
最終ジャッジ日時 2025-04-15 21:15:33
合計ジャッジ時間 51,808 ms
ジャッジサーバーID
(参考情報)
judge5 / judge4
このコードへのチャレンジ
(要ログイン)
ファイルパターン 結果
other AC * 39 MLE * 1 -- * 1
権限があれば一括ダウンロードができます

ソースコード

diff #

import sys
from sys import stdin
from sys import setrecursionlimit
from collections import defaultdict, deque

setrecursionlimit(1 << 25)

def main():
    sys.setrecursionlimit(1 << 25)
    input = sys.stdin.read
    data = input().split()
    idx = 0
    N = int(data[idx]); idx +=1
    M = int(data[idx]); idx +=1
    Q = int(data[idx]); idx +=1

    edges = []
    adj = [[] for _ in range(N+1)]
    for _ in range(M):
        u = int(data[idx]); idx +=1
        v = int(data[idx]); idx +=1
        edges.append((u, v))
        adj[u].append(v)
        adj[v].append(u)

    # Find bridges using Tarjan's algorithm
    bridges = set()
    visited = [False] * (N + 1)
    disc = [0] * (N + 1)
    low = [0] * (N + 1)
    time_counter = [1]
    parent = [-1] * (N + 1)

    def tarjan(u):
        disc[u] = low[u] = time_counter[0]
        time_counter[0] += 1
        visited[u] = True
        for v in adj[u]:
            if not visited[v]:
                parent[v] = u
                tarjan(v)
                low[u] = min(low[u], low[v])
                if low[v] > disc[u]:
                    bridges.add((u, v))
                    bridges.add((v, u))
            elif v != parent[u]:
                low[u] = min(low[u], disc[v])

    for u in range(1, N+1):
        if not visited[u]:
            tarjan(u)

    # Build the bridge forest
    bridge_adj = [[] for _ in range(N+1)]
    for u, v in edges:
        if (u, v) in bridges:
            bridge_adj[u].append(v)
            bridge_adj[v].append(u)

    # Assign component IDs in the bridge forest
    comp_id = [0] * (N + 1)
    current_comp = 0
    visited = [False] * (N + 1)
    for u in range(1, N+1):
        if not visited[u]:
            current_comp += 1
            q = deque()
            q.append(u)
            visited[u] = True
            comp_id[u] = current_comp
            while q:
                node = q.popleft()
                for v in bridge_adj[node]:
                    if not visited[v]:
                        visited[v] = True
                        comp_id[v] = current_comp
                        q.append(v)

    # Check connectivity in the original graph using BFS (or DSU would be better, but for brevity)
    original_comp = [0] * (N + 1)
    current_original_comp = 0
    visited = [False] * (N + 1)
    for u in range(1, N+1):
        if not visited[u]:
            current_original_comp += 1
            q = deque()
            q.append(u)
            visited[u] = True
            original_comp[u] = current_original_comp
            while q:
                node = q.popleft()
                for v in adj[node]:
                    if not visited[v]:
                        visited[v] = True
                        original_comp[v] = current_original_comp
                        q.append(v)

    # Preprocess parent and depth for LCA in bridge forest
    parent_lca = [ [-1]*(20) for _ in range(N+1) ]
    depth = [0]*(N+1)
    visited = [False]*(N+1)

    for u in range(1, N+1):
        if not visited[u] and comp_id[u] != 0:
            q = deque()
            q.append(u)
            visited[u] = True
            parent_lca[u][0] = -1
            while q:
                node = q.popleft()
                for v in bridge_adj[node]:
                    if not visited[v]:
                        visited[v] = True
                        depth[v] = depth[node] + 1
                        parent_lca[v][0] = node
                        q.append(v)

    # Preprocess binary lifting table
    for k in range(1, 20):
        for u in range(1, N+1):
            if parent_lca[u][k-1] != -1:
                parent_lca[u][k] = parent_lca[parent_lca[u][k-1]][k-1]
            else:
                parent_lca[u][k] = -1

    def lca(u, v):
        if depth[u] < depth[v]:
            u, v = v, u
        for k in range(19, -1, -1):
            if depth[u] - (1 << k) >= depth[v]:
                u = parent_lca[u][k]
        if u == v:
            return u
        for k in range(19, -1, -1):
            if parent_lca[u][k] != -1 and parent_lca[u][k] != parent_lca[v][k]:
                u = parent_lca[u][k]
                v = parent_lca[v][k]
        return parent_lca[u][0]

    def get_path(u, ancestor):
        path = []
        while u != ancestor:
            path.append(u)
            u = parent_lca[u][0]
        path.append(ancestor)
        return path

    # Collect non-bridge edges
    non_bridge_edges = []
    for u, v in edges:
        if (u, v) not in bridges and (v, u) not in bridges:
            non_bridge_edges.append((u, v))

    # Build adjacency list for non-bridge edges
    non_bridge_adj = defaultdict(set)
    for u, v in non_bridge_edges:
        non_bridge_adj[u].add(v)
        non_bridge_adj[v].add(u)

    # Process queries
    output = []
    for _ in range(Q):
        x = int(data[idx]); idx +=1
        y = int(data[idx]); idx +=1

        if original_comp[x] != original_comp[y]:
            output.append("No")
            continue

        if comp_id[x] != comp_id[y]:
            output.append("No")
            continue

        # Find LCA in bridge forest
        ancestor = lca(x, y)
        path_x = get_path(x, ancestor)
        path_y = get_path(y, ancestor)
        path = path_x[:-1] + path_y[::-1]

        # Check if any non-bridge edge exists between nodes in path
        found = False
        path_set = set(path)
        for u in path:
            for v in non_bridge_adj[u]:
                if v in path_set and v != parent_lca[u][0] and u != parent_lca[v][0]:
                    found = True
                    break
            if found:
                break
        if found:
            output.append("No")
        else:
            output.append("Yes")

    print('\n'.join(output))

if __name__ == "__main__":
    main()
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