[Google] LeetCode 528 Random Pick with Weight
You are given a 0
-indexed array of positive integers w where w[i]
describes the weight of the ith index.
You need to implement the function pickIndex()
, which randomly picks an index in the range [0, w.length - 1]
(inclusive) and returns it. The probability of picking an index i
is w[i] / sum(w)
.
For example, if w = [1, 3]
, the probability of picking index 0
is 1 / (1 + 3) = 0.25
(i.e., 25%
), and the probability of picking index 1
is 3 / (1 + 3) = 0.75
(i.e., 75%
).
Solution
既然是加权重, 那么不妨直接利用前缀和将其展开到坐标轴上面,这样每一段的长度就是权重的大小,然后利用 \(upper\_bound\) 即可
点击查看代码
class Solution {
private:
vector<int> seg;
public:
Solution(vector<int>& w) {
int n = w.size();
for(int i=0;i<n;i++){
if(!i)seg.push_back(w[i]);
else{
seg.push_back(w[i]+seg.back());
}
}
}
int pickIndex() {
int res = rand()%seg.back();
auto it = upper_bound(seg.begin(), seg.end(), res);
return it-seg.begin();
}
};
/**
* Your Solution object will be instantiated and called as such:
* Solution* obj = new Solution(w);
* int param_1 = obj->pickIndex();
*/