> For the complete documentation index, see [llms.txt](https://mayanktyagi3111.gitbook.io/interview-prep/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://mayanktyagi3111.gitbook.io/interview-prep/binary-searching-and-sorting/random-pick-with-weight.md).

# Random Pick with Weight

Given an array `w` of positive integers, where `w[i]` describes the weight of index `i`(0-indexed), write a function `pickIndex` which **randomly** picks an index in proportion to its weight.

*For example, given an input list of values w = \[2, 8], when we pick up a number out of it, the chance is that 8 times out of 10 we should pick the number 1 as the answer since it's the second element of the array (w\[1] = 8).*

**Example 1:**

```
Input
["Solution","pickIndex"]
[[[1]],[]]
Output
[null,0]

Explanation
Solution solution = new Solution([1]);
solution.pickIndex(); // return 0. Since there is only one single element on the array the only option is to return the first element.
```

**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's returning the second element (index = 1) that has probability of 3/4.
solution.pickIndex(); // return 1
solution.pickIndex(); // return 1
solution.pickIndex(); // return 1
solution.pickIndex(); // return 0. It's returning the first element (index = 0) that has probability of 1/4.

Since this is a randomization problem, multiple answers are allowed so 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 <= 10000`
* `1 <= w[i] <= 10^5`
* `pickIndex` will be called at most `10000` times.

```java
class Solution {

    Random random;
    int[] wSums;

    public Solution(int[] w) {
        this.random = new Random();
        for (int i = 1; i < w.length; ++i)
            w[i] += w[i - 1];
        this.wSums = w;
    }

    public int pickIndex() {
        int len = wSums.length;
        int randomSum = random.nextInt(wSums[len - 1]) + 1;
        int left = 0, right = len - 1;
        // search position
        while (left < right) {
            int mid = left + (right - left) / 2;
            if (wSums[mid] == randomSum)
                return mid;
            else if (wSums[mid] < randomSum)
                left = mid + 1;
            else
                right = mid;
        }
        return left;
    }
}
```
