关于判断闰年的代码
这样写为什么总是判断不出data:image/png;base64,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怎么写呢？ 没看见代码哈
我没看见代码,那我就把我的代码放这了，你看行不行？
p=int(input('请输入年份:'))
if p%400==0 or p%4==0 and p%100!=0:
print("是润年。")
else:
print("是平年。")
如果可以，那么别忘了设置最佳答案 // 判断是否是闰年
bool leap_year(int year) {
//using namespace std;
const int number = 2100;
bool years{};
// 定义为闰年的元素
for (int i = 0; i < number; i = i + 4) years = 1;
for (int i = 0; i < number; i = i + 100) years = 0;
for (int i = 0; i < number; i = i + 400) years = 1;
// 是闰年则返回真, 不是则否
if (years) return 1;
else return 0;
}那我也把源码放下吧
a = int(input('输入年份：'))
b = a % 4
c = a % 100
d = a % 400
if b == 0 and c != 0:
print('这个年份是闰年')
elsif d == 0:
print('这个年份是闰年')
else:
print('这个年份不是闰年')
页:
[1]