結果
| 問題 |
No.177 制作進行の宮森あおいです!
|
| コンテスト | |
| ユーザー |
schwarzahl
|
| 提出日時 | 2017-12-23 15:38:44 |
| 言語 | Java (openjdk 23) |
| 結果 |
AC
|
| 実行時間 | 243 ms / 2,000 ms |
| コード長 | 6,451 bytes |
| コンパイル時間 | 2,227 ms |
| コンパイル使用メモリ | 80,860 KB |
| 実行使用メモリ | 57,660 KB |
| 最終ジャッジ日時 | 2024-12-17 16:31:29 |
| 合計ジャッジ時間 | 5,697 ms |
|
ジャッジサーバーID (参考情報) |
judge4 / judge5 |
(要ログイン)
| ファイルパターン | 結果 |
|---|---|
| sample | AC * 3 |
| other | AC * 13 |
ソースコード
package practice;
import java.util.HashSet;
import java.util.Optional;
import java.util.Scanner;
import java.util.Set;
public class Main {
public static void main(String[] args) {
Main main = new Main();
main.solveC();
}
private void solveC() {
Scanner sc = new Scanner(System.in);
int W = sc.nextInt();
int N = sc.nextInt();
int[] J = new int[N + 1];
for (int i = 1; i <= N; i++) {
J[i] = sc.nextInt();
}
int M = sc.nextInt();
int[] C = new int[M + 1];
for (int i = 1; i <= M; i++) {
C[i] = sc.nextInt();
}
final int SOURCE = 0;
final int VERTEX_NUM = N + M + 2;
final int TARGET = VERTEX_NUM - 1;
Graph graph = new ArrayGraph(VERTEX_NUM);
for (int i = 1; i <= N; i++) {
graph.link(SOURCE, i, J[i]);
}
for (int i = 1; i <= M; i++) {
graph.link(N+i, TARGET, C[i]);
}
for (int i = 1; i <= M; i++) {
int Q = sc.nextInt();
Set<Integer> set = new HashSet<>();
for (int j = 1; j <= Q; j++) {
set.add(sc.nextInt());
}
for (int j = 1; j <= N; j++) {
if (!set.contains(j)) {
graph.link(j, N+i, Integer.MAX_VALUE / 3);
}
}
}
FlowResolver fr = new BfsFlowResolver(graph);
int cut = fr.maxFlow(SOURCE, TARGET);
System.err.println(cut);
if (cut >= W) {
System.out.println("SHIROBAKO");
} else {
System.out.println("BANSAKUTSUKITA");
}
}
private void solveB() {
Scanner sc = new Scanner(System.in);
int N = sc.nextInt();
int[] B = new int[N];
int[] C = new int[N];
for (int i = 0; i < N; i++) {
B[i] = sc.nextInt();
C[i] = sc.nextInt();
}
int M = sc.nextInt();
int[] D = new int[M];
int[] E = new int[M];
for (int i = 0; i < M; i++) {
D[i] = sc.nextInt();
E[i] = sc.nextInt();
}
final int VERTEX_NUM = 2 * N + 2;
final int SOURCE = 0;
final int TARGET = VERTEX_NUM - 1;
int sum = 0;
Graph graph = new ArrayGraph(VERTEX_NUM);
for (int i = 0; i < N; i++) {
graph.link(SOURCE, i+1, B[i]);
graph.link(i+1, N+i+1, B[i] + C[i]);
graph.link(N+i+1, TARGET, C[i]);
sum += B[i] + C[i];
}
for (int i = 0; i < M; i++) {
graph.link(N+1+D[i], 1+E[i], Integer.MAX_VALUE / 3);
}
FlowResolver fr = new DfsFlowResolver(graph);
System.out.println(sum - fr.maxFlow(SOURCE, TARGET));
}
interface Graph {
void link(int from, int to, int cost);
Optional<Integer> getCost(int from, int to);
int getVertexNum();
}
interface FlowResolver {
int maxFlow(int from, int to);
}
/**
* グラフの行列による実装
* 接点数の大きいグラフで使うとMLEで死にそう
*/
class ArrayGraph implements Graph {
private Integer[][] costArray;
private int vertexNum;
public ArrayGraph(int n) {
costArray = new Integer[n][];
for (int i = 0; i < n; i++) {
costArray[i] = new Integer[n];
}
vertexNum = n;
}
@Override
public void link(int from, int to, int cost) {
costArray[from][to] = new Integer(cost);
}
@Override
public Optional<Integer> getCost(int from, int to) {
return Optional.ofNullable(costArray[from][to]);
}
@Override
public int getVertexNum() {
return vertexNum;
}
}
class BfsFlowResolver implements FlowResolver {
private Graph graph;
public BfsFlowResolver(Graph graph) {
this.graph = graph;
}
public int maxFlow(int from, int to) {
boolean finish = false;
while (!finish) {
Integer[] flows = new Integer[graph.getVertexNum()];
flows[from] = Integer.MAX_VALUE / 3;
Integer[] froms = new Integer[graph.getVertexNum()];
boolean[] isPassed = new boolean[graph.getVertexNum()];
finish = false;
while (!finish) {
finish = true;
for (int id = 0; id < graph.getVertexNum(); id++) {
if (flows[id] != null) {
if (flow(id, flows, froms)) {
finish = false;
}
}
}
if (flows[to] != null) {
int to_i = to;
while (froms[to_i] != null) {
graph.link(froms[to_i], to_i, graph.getCost(froms[to_i], to_i).get() - flows[to]);
graph.link(to_i, froms[to_i], graph.getCost(to_i, froms[to_i]).orElse(0) + flows[to]);
to_i = froms[to_i];
}
finish = false;
break;
}
}
}
int sum = 0;
for (int id = 0; id < graph.getVertexNum(); id++) {
sum += graph.getCost(to, id).orElse(0);
}
return sum;
}
public boolean flow(int from, Integer[] flows, Integer[] froms) {
boolean change = false;
for (int next = 0; next < graph.getVertexNum(); next++) {
Optional<Integer> cost = graph.getCost(from, next);
if (cost.orElse(0) > 0 && flows[next] == null) {
int nextFlow = flows[from] < cost.get() ? flows[from] : cost.get();
flows[next] = nextFlow;
froms[next] = from;
change = true;
}
}
return change;
}
}
/**
* DFS(深さ優先探索)による実装
* 計算量はO(E*MaxFlow)のはず (E:辺の数, MaxFlow:最大フロー)
*/
class DfsFlowResolver implements FlowResolver {
private Graph graph;
public DfsFlowResolver(Graph graph) {
this.graph = graph;
}
/**
* 最大フロー(最小カット)を求める
* @param from 始点(source)のID
* @param to 終点(target)のID
* @return 最大フロー(最小カット)
*/
public int maxFlow(int from, int to) {
int sum = 0;
int currentFlow;
do {
currentFlow = flow(from, to,Integer.MAX_VALUE / 3, new boolean[graph.getVertexNum()]);
sum += currentFlow;
} while (currentFlow > 0);
return sum;
}
/**
* フローの実行 グラフの更新も行う
* @param from 現在いる節点のID
* @param to 終点(target)のID
* @param current_flow ここまでの流量
* @param passed 既に通った節点か否かを格納した配列
* @return 終点(target)に流した流量/戻りのグラフの流量
*/
private int flow(int from, int to, int current_flow, boolean[] passed) {
passed[from] = true;
if (from == to) {
return current_flow;
}
for (int id = 0; id < graph.getVertexNum(); id++) {
if (passed[id]) {
continue;
}
Optional<Integer> cost = graph.getCost(from, id);
if (cost.orElse(0) > 0) {
int nextFlow = current_flow < cost.get() ? current_flow : cost.get();
int returnFlow = flow(id, to, nextFlow, passed);
if (returnFlow > 0) {
graph.link(from, id, cost.get() - returnFlow);
graph.link(id, from, graph.getCost(id, from).orElse(0) + returnFlow);
return returnFlow;
}
}
}
return 0;
}
}
}
schwarzahl