NYOJ题目57 6174问题

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" alt="" />

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感觉这个OJ题目难度划分很不合理,这道理明明很简单却给了2的难度,而之前难度为0的水题有好多难死个人没做出来让我暗暗觉得自己脑子里都是屎...

把题目描述翻译成人话的意思就是多少次以后这个序列会出现aaarticlea/png;base64,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" alt="" />,想明白这一点就比较简单了。

AC代码:

 import java.util.Arrays;
import java.util.Scanner; public class Main { public static void main(String[] args) { Scanner sc=new Scanner(System.in);
int times=sc.nextInt(); while(times-->0) System.out.println(solve(sc.nextInt()));
} public static int solve(int n){
int res=0;
int last=n;
while(true){
char cs[]=Integer.toString(n).toCharArray();
Arrays.sort(cs);
int min=Integer.parseInt(new String(cs));
StringBuilder sb=new StringBuilder();
int max=Integer.parseInt(sb.append(cs).reverse().toString());
n=max-min;
res++;
if(n==last) return res;
last=n;
}
} }

题目来源: http://acm.nyist.net/JudgeOnline/problem.php?pid=57

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