我们对
0
到255
之间的整数进行采样,并将结果存储在数组count
中:count[k]
就是整数k
的采样个数。我们以 浮点数 数组的形式,分别返回样本的最小值、最大值、平均值、中位数和众数。其中,众数是保证唯一的。
我们先来回顾一下中位数的知识:
- 如果样本中的元素有序,并且元素数量为奇数时,中位数为最中间的那个元素;
- 如果样本中的元素有序,并且元素数量为偶数时,中位数为中间的两个元素的平均值。
示例 1:
输入:count = [0,1,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] 输出:[1.00000,3.00000,2.37500,2.50000,3.00000]示例 2:
输入:count = [0,4,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] 输出:[1.00000,4.00000,2.18182,2.00000,1.00000]
提示:
count.length == 256
1 <= sum(count) <= 10^9
- 计数表示的众数是唯一的
- 答案与真实值误差在
10^-5
以内就会被视为正确答案
class Solution {
public:
vector sampleStats(vector& count) {
int size= count.size();
double mina = 256.0;
double maxa = 0.0;
vector>res;
for(int i=0;i=0; i--)
{
if(count[i]!=0)
{
maxa = double(i);
break;
}
}
double sum = 0.0;
long long c = 0;
for(int i=0;i c/2)
{
zhongweishu = double(v.first);
break;
}
else
{
if(c%2==1)
{
flag1 = true;
}
else
{
flag1=true;
k1 = v.first;
}
}
}
double zhongshu = 0.0;
int maxv = -1;
for(int i=0;im;
m.push_back(mina);
m.push_back(maxa);
m.push_back(pinjun);
m.push_back(zhongweishu);
m.push_back(zhongshu);
return m;
}
};