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 index0
is1 / (1 + 3) = 0.25
(i.e.,25%
), and the probability of picking index1
is3 / (1 + 3) = 0.75
(i.e.,75%
).
Example 1:
Input ["Solution","pickIndex"] [[[1]],[]] Output [null,0] Explanation Solution solution = new Solution([1]); solution.pickIndex(); // return 0. The only option is to return 0 since there is only one element in w.
Example 2:
Input ["Solution","pickIndex","pickIndex","pickIndex","pickIndex","pickIndex"] [[[1,3]],[],[],[],[],[]] Output [null,1,1,1,1,0] Explanation Solution solution = new Solution([1, 3]); solution.pickIndex(); // return 1. It is returning the second element (index = 1) that has a probability of 3/4. solution.pickIndex(); // return 1 solution.pickIndex(); // return 1 solution.pickIndex(); // return 1 solution.pickIndex(); // return 0. It is returning the first element (index = 0) that has a probability of 1/4. Since this is a randomization problem, multiple answers are allowed. All of the following outputs can be considered correct: [null,1,1,1,1,0] [null,1,1,1,1,1] [null,1,1,1,0,0] [null,1,1,1,0,1] [null,1,0,1,0,0] ...... and so on.
Constraints:
1 <= w.length <= 104
1 <= w[i] <= 105
pickIndex
will be called at most104
times.
class Solution {
private:
vector<int> sum;
public:
Solution(vector<int>& w) {
sum = w;
for (int i = 1; i < w.size(); i++) {
sum[i] = sum[i - 1] + w[i];
}
}
int pickIndex() {
int size = sum.size();
int random = rand() % sum.back() + 1; // range: 1 to sum[last]
int st = 0, end = size - 1;
while (st <= end) {
int mid = st + (end - st)/2;
if (sum[mid] == random) {
return mid;
} else if (sum[mid] < random) {
st = mid + 1;
} else {
end = mid - 1;
}
}
return st;
}
};
/**
* Your Solution object will be instantiated and called as such:
* Solution* obj = new Solution(w);
* int param_1 = obj->pickIndex();
*/