346. Moving Average from Data Stream
Given a stream of integers and a window size, calculate the moving average of all integers in the sliding window.
Implement the MovingAverage
class:
MovingAverage(int size)
Initializes the object with the size of the windowsize
.double next(int val)
Returns the moving average of the lastsize
values of the stream.
Example 1:
Input
["MovingAverage", "next", "next", "next", "next"]
[[3], [1], [10], [3], [5]]
Output
[null, 1.0, 5.5, 4.66667, 6.0]
Explanation
MovingAverage movingAverage = new MovingAverage(3);
movingAverage.next(1); // return 1.0 = 1 / 1
movingAverage.next(10); // return 5.5 = (1 + 10) / 2
movingAverage.next(3); // return 4.66667 = (1 + 10 + 3) / 3
movingAverage.next(5); // return 6.0 = (10 + 3 + 5) / 3
Constraints:
1 <= size <= 1000
-105 <= val <= 105
- At most
104
calls will be made tonext
.
Solution:
class MovingAverage {
Queue<Integer> queue;
int size;
int curSize;
int curSum;
public MovingAverage(int size) {
queue = new ArrayDeque<>();
this.size = size;
curSize = 0;
curSum = 0;
}
public double next(int val) {
if (curSize < size){
queue.offer(val);
curSize++;
curSum = curSum + val;
return (double) curSum/curSize;
}else {
queue.offer(val);
int delete = queue.poll();
curSum = curSum - delete + val;
return (double) curSum/curSize;
}
}
}
/**
* Your MovingAverage object will be instantiated and called as such:
* MovingAverage obj = new MovingAverage(size);
* double param_1 = obj.next(val);
*/