Time Limit: 10 Seconds      Memory Limit: 65536 KB


Dr. X is a biologist, who likes rabbits very much and can do everything for them. 2012 is coming, and Dr. X wants to take some rabbits to Noah's Ark, or there are no rabbits any more.

A rabbit's genes can be expressed as a string whose length is l (1 ≤ l ≤ 100) containing only 'A', 'G', 'T', 'C'. There is no doubt that Dr. X had a in-depth research on the rabbits'
genes. He found that if a rabbit gene contained a particular gene segment, we could consider it as a good rabbit, or sometimes a bad rabbit. And we use a value W to measure this index.

We can make a example, if a rabbit has gene segment "ATG", its W would plus 4; and if has gene segment "TGC", its W plus -3. So if a rabbit's gene string is "ATGC",
its W is 1 due to ATGC contains both "ATG"(+4) and "TGC"(-3). And if another rabbit's gene string is "ATGATG", its W is 4 due to one gene segment can be calculate only once.

Because there are enough rabbits on Earth before 2012, so we can assume we can get any genes with different structure. Now Dr. X want to find a rabbit whose gene has highestW value.
There are so many different genes with length l, and Dr. X is not good at programming, can you help him to figure out the W value of the best rabbit.

Input

There are multiple test cases. For each case the first line is two integers n (1 ≤ n ≤ 10),l (1 ≤ l ≤ 100), indicating the number of the particular
gene segment and the length of rabbits' genes.

The next n lines each line contains a string DNAi and an integer wi (|wi| ≤ 100), indicating this gene segment and the value it can
contribute to a rabbit's W.

Output

For each test case, output an integer indicating the W value of the best rabbit. If we found this value is negative, you should output "No Rabbit after 2012!".

Sample Input

2 4
ATG 4
TGC -3 1 6
TGC 4 4 1
A -1
T -2
G -3
C -4

Sample Output

4
4
No Rabbit after 2012!

Hint

case 1:we can find a rabbit whose gene string is ATGG(4), or ATGA(4) etc.

case 2:we can find a rabbit whose gene string is TGCTGC(4), or TGCCCC(4) etc.

case 3:any gene string whose length is 1 has a negative W.

题意:给你n个模板串,每一个模板串对应一个数值,有正也有负,然你构造一个长度为m的模板串,使得模板串的价值最大,且一种模板串如果重复出现只统计一次。

思路:考虑到n<=10,所以用状压dp的思想,设状态为dp[i][j][state]表示走了i步,当前节点为j,含有的单词状态为state的最大值。但是这个状态消耗的内存太大,有100*1000*1024,所以用滚动数组(这点是看了别人的题解才发现的,果然意识不够啊..= .=),然后构造trie图,dp就行了。

#include<iostream>
#include<stdio.h>
#include<stdlib.h>
#include<string.h>
#include<math.h>
#include<vector>
#include<map>
#include<set>
#include<queue>
#include<stack>
#include<string>
#include<algorithm>
using namespace std;
typedef long long ll;
#define inf 99999999
#define pi acos(-1.0)
#define maxnode 1100
int t0,t1,t2,t3;
char s[14],str[50];
int cas=0;
int dp[2][1005][1030],w[1030];
int n,m; struct trie{
int sz,root,val[maxnode],next[maxnode][4],fail[maxnode];
int q[1111111];
void init(){
int i;
sz=root=0;
val[0]=0;
for(i=0;i<4;i++){
next[root][i]=-1;
}
}
int idx(char c){
if(c=='A')return 0;
if(c=='C')return 1;
if(c=='T')return 2;
if(c=='G')return 3;
}
void charu(char *s,int index){
int i,j,u=0;
int len=strlen(s);
for(i=0;i<len;i++){
int c=idx(s[i]);
if(next[u][c]==-1){
sz++;
val[sz]=0;
next[u][c]=sz;
u=next[u][c];
for(j=0;j<4;j++){
next[u][j]=-1;
}
}
else{
u=next[u][c]; } }
val[u]|=(1<<index-1);
} void build(){
int i,j;
int front,rear;
front=1;rear=0;
for(i=0;i<4;i++){
if(next[root][i]==-1 ){
next[root][i]=root;
}
else{
fail[next[root][i] ]=root;
rear++;
q[rear]=next[root][i];
}
}
while(front<=rear){
int x=q[front];
val[x]|=val[fail[x] ];
front++;
for(i=0;i<4;i++){
if(next[x][i]==-1){
next[x][i]=next[fail[x] ][i]; }
else{
fail[next[x][i] ]=next[fail[x] ][i];
rear++;
q[rear]=next[x][i];
}
}
}
}
void solve(){
int i,j,state,t,state1;
for(j=0;j<=sz;j++){
for(state=0;state<(1<<n);state++){
dp[0][j][state]=dp[1][j][state]=-inf;
}
}
int tot=0;
dp[tot][0][0]=0;
for(i=0;i<m;i++){
for(j=0;j<=sz;j++){
for(state=0;state<(1<<n);state++){
if(dp[tot][j][state]==-inf)continue;
for(t=0;t<4;t++){
state1=(state|val[next[j][t] ]);
dp[1^tot ][next[j][t] ][state1]=max(dp[1^tot ][next[j][t] ][state1],w[state1] );
}
}
}
tot=1^tot;
for(j=0;j<=sz;j++){
for(state=0;state<(1<<n);state++){
dp[1^tot][j][state]=-inf;
}
}
}
int maxx=-inf;
for(j=0;j<=sz;j++){
for(state=0;state<(1<<n);state++){
maxx=max(maxx,dp[tot][j][state]);
} }
if(maxx<0){
printf("No Rabbit after 2012!\n");
}
else printf("%d\n",maxx);
}
}ac; int main()
{
int i,j;
int value[20],len,state;
while(scanf("%d%d",&n,&m)!=EOF)
{
ac.init();
for(i=1;i<=n;i++){
scanf("%s%d",&s,&value[i]);
len=strlen(s);
if(len>m)continue;
ac.charu(s,i);
}
for(state=0;state<(1<<n);state++){
w[state]=0;
for(i=1;i<=n;i++){
if(state&(1<<(i-1) )){
w[state]+=value[i];
}
}
}
ac.build();
ac.solve();
}
return 0;
}

zoj3545Rescue the Rabbit (AC自动机+状压dp+滚动数组)的更多相关文章

  1. hdu 4057--Rescue the Rabbit(AC自动机+状压DP)

    题目链接 Problem Description Dr. X is a biologist, who likes rabbits very much and can do everything for ...

  2. hdu 2825 aC自动机+状压dp

    Wireless Password Time Limit: 2000/1000 MS (Java/Others)    Memory Limit: 32768/32768 K (Java/Others ...

  3. BZOJ1559 [JSOI2009]密码 【AC自动机 + 状压dp】

    题目链接 BZOJ1559 题解 考虑到这是一个包含子串的问题,而且子串非常少,我们考虑\(AC\)自动机上的状压\(dp\) 设\(f[i][j][s]\)表示长度为\(i\)的串,匹配到了\(AC ...

  4. HDU 3247 Resource Archiver(AC自动机 + 状压DP + bfs预处理)题解

    题意:目标串n( <= 10)个,病毒串m( < 1000)个,问包含所有目标串无病毒串的最小长度 思路:貌似是个简单的状压DP + AC自动机,但是发现dp[1 << n][ ...

  5. hdu2825 Wireless Password(AC自动机+状压dp)

    Time Limit: 2000/1000 MS (Java/Others)    Memory Limit: 32768/32768 K (Java/Others) Total Submission ...

  6. HDU 4057:Rescue the Rabbit(AC自动机+状压DP)***

    http://acm.hdu.edu.cn/showproblem.php?pid=4057 题意:给出n个子串,串只包含‘A’,'C','G','T'四种字符,你现在需要构造出一个长度为l的串,如果 ...

  7. HDU4057 Rescue the Rabbit(AC自动机+状压DP)

    题目大概是给几个DNA片段以及它们各自的权值,如果一个DNA包含某个片段那么它的价值就加上这个片段的权值,同时包含多个相同DNA片段也只加一次,问长度l的DNA可能的最大价值. 与HDU2825大同小 ...

  8. hdu 6086 -- Rikka with String(AC自动机 + 状压DP)

    题目链接 Problem Description As we know, Rikka is poor at math. Yuta is worrying about this situation, s ...

  9. UVALive - 4126 Password Suspects (AC自动机+状压dp)

    给你m个字符串,让你构造一个字符串,包含所有的m个子串,问有多少种构造方法.如果答案不超过42,则按字典序输出所有可行解. 由于m很小,所以可以考虑状压. 首先对全部m个子串构造出AC自动机,每个节点 ...

随机推荐

  1. 【JavaWeb】EL 表达式

    EL 表达式 简介 EL(Expression Language),即表达式语言. EL 表达式主要是代替 jsp 页面中 表达式脚本 在 jsp 页面中进行数据的输出,因为 EL 表达式在输出数据的 ...

  2. Ubuntu_Gedit配置

    Ubuntu_Gedit配置 为了换Ubuntu的时候能够更加方便,不用再用手重新打一遍代码,丢几个Gedit配置-- External Tools gdb compile (F2) #!/bin/s ...

  3. 【RAC】通过命令查看当前数据库是不是rac

    SQL> show parameter  cluster_database 如果参数中显示的是 NAME                                 TYPE        ...

  4. Log4j日志记录

    1.导入log4j的jar包 2.写log4j.properties文件,配置日志记录参数,一般参数如下所示: 第二行指定了输出日志的目录,此处用的相对路径,也可换成绝对路径: 第三行指定了输出的记录 ...

  5. SQL -去重Group by 和Distinct的效率

    经实际测试,同等条件下,5千万条数据,Distinct比Group by效率高,但是,这是有条件的,这五千万条数据中不重复的仅仅有三十多万条,这意味着,五千万条中基本都是重复数据. 为了验证,重复数据 ...

  6. 24V降压5V芯片,5A,4.5V-30V输入,同步降压调节器

    PW2205开发了一种高效率的同步降压DC-DC转换器5A输出电流.PW2205在4.5V到30V的宽输入电压范围内工作集成主开关和同步开关,具有非常低的RDS(ON)以最小化传导损失.PW2205采 ...

  7. 02_Python基础

    2.1 第一条编程语句 print("Hello, Python!") print("To be, or not to be, it's a question." ...

  8. 01. struts2介绍

    struts2优点 与Servlet API 耦合性低.无侵入式设计 提供了拦截器,利用拦截器可以进行AOP编程,实现如权限拦截等功能 支持多种表现层技术,如:JSP.freeMarker.veloc ...

  9. kafka项目经验之如何进行Kafka压力测试、如何计算Kafka分区数、如何确定Kaftka集群机器数量

    @ 目录 Kafka压测 Kafka Producer(生产)压力测试 Kafka Consumer(消费)压力测试 计算Kafka分区数 Kafka机器数量计算 Kafka压测 用Kafka官方自带 ...

  10. Docker 中的网络功能介绍 外部访问容器 容器互联 配置 DNS

    Docker 中的网络功能介绍 | Docker 从入门到实践 https://vuepress.mirror.docker-practice.com/network/ Docker 允许通过外部访问 ...