• [LeetCode] 346. Moving Average from Data Stream 从数据流中移动平均值


    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

    给一个整数流和一个窗口,计算在给定大小的窗口里的数字的平均值。

    解法:队列queue,用一个queue记录进入窗口的整数。当流进窗口的整数不足时,计算所有窗口内的数字和返回,当进入窗口的整数多于窗口大小时,移除最先进入窗口的整数,新的整数进入queue,然后计算窗口内的整数和。

    Java:

    public class MovingAverage {
        private double previousSum = 0.0;
        private int maxSize;
        private Queue<Integer> currentWindow;
        /** Initialize your data structure here. */
        public MovingAverage(int size) {
            currentWindow = new LinkedList<Integer>();
            maxSize = size;
        }
        
        public double next(int val) {
            if(currentWindow.size()==maxSize){
                previousSum -= currentWindow.remove();
            }
            currentWindow.add(val);
            previousSum += val;
            return previousSum/currentWindow.size();
        }
    }
    
    /**
     * Your MovingAverage object will be instantiated and called as such:
     * MovingAverage obj = new MovingAverage(size);
     * double param_1 = obj.next(val);
     */  

    Java:

    public class MovingAverage {
        LinkedList<Integer> queue;
        int size;
        double avg;
     
        /** Initialize your data structure here. */
        public MovingAverage(int size) {
            this.queue = new LinkedList<Integer>();
            this.size = size;
        }
     
        public double next(int val) {
            if(queue.size()<this.size){
                queue.offer(val);
                int sum=0;
                for(int i: queue){
                    sum+=i;
                }
                avg = (double)sum/queue.size();
     
                return avg;
            }else{
                int head = queue.poll();
                double minus = (double)head/this.size;
                queue.offer(val);
                double add = (double)val/this.size;
                avg = avg + add - minus;
                return avg;
            }
        }
    }  

    Python:

    # Time:  O(1)
    # Space: O(w)
    from collections import deque
    
    class MovingAverage(object):
        def __init__(self, size):
            """
            Initialize your data structure here.
            :type size: int
            """
            self.__size = size
            self.__sum = 0
            self.__q = deque([])
    
        def next(self, val):
            """
            :type val: int
            :rtype: float
            """
            if len(self.__q) == self.__size:
                self.__sum -= self.__q.popleft()
            self.__sum += val
            self.__q.append(val)
            return 1.0 * self.__sum / len(self.__q)
    
    
    # Your MovingAverage object will be instantiated and called as such:
    # obj = MovingAverage(size)
    # param_1 = obj.next(val)  

    C++:

    class MovingAverage {
    public:
        MovingAverage(int size) {
            this->size = size;
            sum = 0;
        }
        
        double next(int val) {
            if (q.size() >= size) {
                sum -= q.front(); q.pop();
            }
            q.push(val);
            sum += val;
            return sum / q.size();
        }
        
    private:
        queue<int> q;
        int size;
        double sum;
    };
    

      

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  • 原文地址:https://www.cnblogs.com/lightwindy/p/9736836.html
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