Given a stream of integers and a window size, calculate the moving average of all integers in the sliding window.
For example,
MovingAverage m = new MovingAverage(3); m.next(1) = 1 m.next(10) = (1 + 10) / 2 m.next(3) = (1 + 10 + 3) / 3 m.next(5) = (10 + 3 + 5) / 3
Solution:
Use a Queue serve as a sliding window, and also maintain the current sum inside of the window.
Code (Java):
public class MovingAverage {
Queue<Integer> queue;
int n;
int sum;
/** Initialize your data structure here. */
public MovingAverage(int size) {
queue = new LinkedList<>();
n = size;
sum = 0;
}
public double next(int val) {
queue.offer(val);
double result = 0;
sum += val;
if (queue.size() <= n) {
result = (double) sum / queue.size();
} else {
int remove = queue.poll();
sum -= remove;
result = (double) sum / n;
}
return result;
}
}
/**
* Your MovingAverage object will be instantiated and called as such:
* MovingAverage obj = new MovingAverage(size);
* double param_1 = obj.next(val);
*/
I liked the concept of implementing it through the Queue.
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