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" alt="" />
-----------------------
水、
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 y=sc.nextInt();
int m=sc.nextInt();
int d=sc.nextInt();
int ans=solve(y,m,d);
System.out.println(ans);
} } public static int days[]={0,31,0,31,30,31,30,31,31,30,31,30,31}; public static boolean isLeafYear(int y){
return (y%4==0&&y%100!=0) || (y%400==0);
} public static int solve(int y,int m,int d){
int res=0;
for(int i=1;i<m;i++) res+=days[i];
if(m>=2) res+=isLeafYear(y)?29:28;
return res+d;
}
}