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" alt="" />
----------------------------------------
题目评论中有说使用KMP反倒超时的。。。
外加看到匹配串长度不超过10,最大也不过是10000^10,这点计算量cpu表示没问题。
所以,就是用傻傻的模拟。。。。不愧是水题,竟然AC了。。。。
AC代码:
import java.util.Scanner; public class Main { public static void main(String[] args) { Scanner sc=new Scanner(System.in); int times=Integer.parseInt(sc.nextLine());
while(times-->0){ String s1=sc.nextLine();
String s2=sc.nextLine(); int ans=matches(s1,s2);
System.out.println(ans); }
} public static int matches(String s1, String s2){
int res=0;
for(int i=0,end=s1.length()-s2.length();i<=end;i++){
boolean isMatch=true;
for(int j=0;j<s2.length() && isMatch;j++){
if(!(s1.charAt(i+j)==s2.charAt(j))) isMatch=false;
}
if(isMatch) res++;
}
return res;
} }