Another Meaning
Time Limit: 2000/1000 MS (Java/Others) Memory Limit: 65536/65536 K (Java/Others)Total Submission(s): 1266 Accepted Submission(s): 595
Problem Description
As is known to all, in many cases, a word has two meanings. Such as “hehe”, which not only means “hehe”, but also means “excuse me”.
Today, ?? is chating with MeiZi online, MeiZi sends a sentence A to ??. ?? is so smart that he knows the word B in the sentence has two meanings. He wants to know how many kinds of meanings MeiZi can express.
Today, ?? is chating with MeiZi online, MeiZi sends a sentence A to ??. ?? is so smart that he knows the word B in the sentence has two meanings. He wants to know how many kinds of meanings MeiZi can express.
Input
The first line of the input gives the number of test cases T; T test cases follow.
Each test case contains two strings A and B, A means the sentence MeiZi sends to ??, B means the word B which has two menaings. string only contains lowercase letters.
Limits
T <= 30
|A| <= 100000
|B| <= |A|
Each test case contains two strings A and B, A means the sentence MeiZi sends to ??, B means the word B which has two menaings. string only contains lowercase letters.
Limits
T <= 30
|A| <= 100000
|B| <= |A|
Output
For each test case, output one line containing “Case #x: y” (without quotes) , where x is the test case number (starting from 1) and y is the number of the different meaning of this sentence may be. Since this number may be quite
large, you should output the answer modulo 1000000007.
Sample Input
4 hehehe hehe woquxizaolehehe woquxizaole hehehehe hehe owoadiuhzgneninougur iehiehieh
Sample Output
Case #1: 3 Case #2: 2 Case #3: 5 Case #4: 1HintIn the first case, “ hehehe” can have 3 meaings: “*he”, “he*”, “hehehe”. In the third case, “hehehehe” can have 5 meaings: “*hehe”, “he*he”, “hehe*”, “**”, “hehehehe”.
题意:给一a串给一b串,问有几种匹配方式?(可匹配可不匹配)
思路:第一个字符匹配上了那后面Nb-1个字符都必须匹配,第一个字符没匹配上,后面的字符可匹配可不匹配,所以前后是有关系的,用DP,分两种情况匹配上没匹配上,两种情况又分别分为后面匹配上和后面没匹配上,列递推式,普通匹配极限数据会超时(虽然当时没超...)所以匹配加个kmp或哈希
代码:
#include <cstdio>
#include <cstring>
#include <string>
#include <iostream>
#include <cmath>
#include <map>
#define mod 1000000007
using namespace std;
const unsigned long long B = 1e8+7; /*mod*/
const int MAXN = 100000+100;
char a[MAXN],b[MAXN],tmp[MAXN];
long long dp[MAXN];
bool vis[MAXN];
void hashfind()
{
int al=strlen(a),bl=strlen(b);
if(al>bl)
{
strcpy(tmp,a);
strcpy(a,b);
strcpy(b,tmp);
}
unsigned long long t=1,ah=0,bh=0;
for(int i=0; i<al; i++)
{
t*=B;
ah=ah*B+a[i];
bh=bh*B+b[i];
}
for(int i=0; i+al<=bl; i++)
{
if(ah==bh)vis[i]=1; //匹配到的坐标
if(i+al<bl)bh=bh*B+b[i+al]-b[i]*t;
}
// return ans;
}
int main()
{
int t;
cin>>t;
int cas = t;
while(t--)
{
scanf("%s%s",b,a);
memset(vis,0,sizeof vis);
hashfind();
int m = strlen(b),n = strlen(a);
for(int i = 0; i <= m; i++)
dp[i] = 1;
for(int i = m-n; i >=0; i--)
{
if(vis[i])
dp[i] = (dp[i+n] + dp[i+1])%mod;
else
dp[i] = dp[i+1]%mod;
}
cout<<"Case #"<<cas-t<<": "<<dp[0]<<endl;
}
return 0;
}
本文介绍了一种基于哈希的字符串匹配算法,用于解决给定两个字符串时可能存在的多种匹配方式问题。通过使用动态规划和哈希函数,算法能够高效地计算出所有可能的匹配情况,并考虑了匹配过程中可能出现的不同情形。
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