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" alt="" />
------------------------------------------------------
这道题有坑，实际上是(m+1)天，给的测试数据比测试结果少一天，加上按（m+1）天计算即可，估计出题的人自己代码写错了...
AC代码：
import java.util.Scanner;
public class Main {
public static void main(String[] args) {
Scanner sc=new Scanner(System.in);
int times=sc.nextInt();
while(times-->0){
int n=sc.nextInt();
System.out.println(solve(n));
}
}
public static int solve(int n){
int ans=1;
while(n-->0) ans=(ans+1)*2;
return ans;
}
}