算法leetcode剑指 Offer II 041. 滑动窗口的平均值（rust重拳出击）

Posted 2022-09-15 二当家的白帽子

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文章目录

• 剑指 Offer II 041. 滑动窗口的平均值：
• 样例 1：
• 提示：
• 分析
• 题解
• • rust
  • go
  • c++
  • java
  • python
• 原题传送门：https://leetcode.cn/problems/qIsx9U/

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剑指 Offer II 041. 滑动窗口的平均值：

给定一个整数数据流和一个窗口大小，根据该滑动窗口的大小，计算滑动窗口里所有数字的平均值。

实现 MovingAverage 类：

• MovingAverage(int size) 用窗口大小 size 初始化对象。
• double next(int val) 成员函数 next 每次调用的时候都会往滑动窗口增加一个整数，请计算并返回数据流中最后 size 个值的移动平均值，即滑动窗口里所有数字的平均值。

样例 1：

输入：
	inputs = ["MovingAverage", "next", "next", "next", "next"]
	inputs = [[3], [1], [10], [3], [5]]
	
输出：
	[null, 1.0, 5.5, 4.66667, 6.0]

解释：
	MovingAverage movingAverage = new MovingAverage(3);
	movingAverage.next(1); // 返回 1.0 = 1 / 1
	movingAverage.next(10); // 返回 5.5 = (1 + 10) / 2
	movingAverage.next(3); // 返回 4.66667 = (1 + 10 + 3) / 3
	movingAverage.next(5); // 返回 6.0 = (10 + 3 + 5) / 3

提示：

• 1 <= size <= 1000
• -10⁵ <= val <= 10⁵
• 最多调用 next 方法 10⁴ 次

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分析

• 面对这道算法题目，二当家的陷入了沉思。
• 计算平均值仅需要总值和数量，但是当数字的数量超过滑动窗口的大小时，就需要将前面的数字移除，先进先出，用队列实现最直观。

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题解

rust

struct MovingAverage 
    size: usize,
    sum: i32,
    q: std::collections::VecDeque<i32>,



/**
 * `&self` means the method takes an immutable reference.
 * If you need a mutable reference, change it to `&mut self` instead.
 */
impl MovingAverage 

    /** Initialize your data structure here. */
    fn new(size: i32) -> Self 
        MovingAverage
            size: size as usize,
            sum: 0,
            q: std::collections::VecDeque::new()
        
    
    
    fn next(&mut self, val: i32) -> f64 
        if self.q.len() == self.size 
            self.sum -= self.q.pop_front().unwrap();
        
        self.q.push_back(val);
        self.sum += val;
        self.sum as f64 / self.q.len() as f64
    


/**
 * Your MovingAverage object will be instantiated and called as such:
 * let obj = MovingAverage::new(size);
 * let ret_1: f64 = obj.next(val);
 */

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go

type MovingAverage struct 
    size int
	sum  int
	q    []int



/** Initialize your data structure here. */
func Constructor(size int) MovingAverage 
    return MovingAveragesize: size



func (this *MovingAverage) Next(val int) float64 
    if len(this.q) == this.size 
		this.sum -= this.q[0]
		this.q = this.q[1:]
	
	this.sum += val
	this.q = append(this.q, val)
	return float64(this.sum) / float64(len(this.q))



/**
 * Your MovingAverage object will be instantiated and called as such:
 * obj := Constructor(size);
 * param_1 := obj.Next(val);
 */

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c++

class MovingAverage 
private:
    int size;
    int sum;
    queue<int> q;
public:
    /** Initialize your data structure here. */
    MovingAverage(int size) 
        this->sum = 0;
        this->size = size;
    
    
    double next(int val) 
        if (this->q.size() == this->size) 
            this->sum -= this->q.front();
            this->q.pop();
        
        this->sum += val;
        this->q.emplace(val);
        return this->sum * 1.0 / this->q.size();
    
;

/**
 * Your MovingAverage object will be instantiated and called as such:
 * MovingAverage* obj = new MovingAverage(size);
 * double param_1 = obj->next(val);
 */

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java

class MovingAverage 
    private final int size;
    private int sum;
    private final Queue<Integer> q = new LinkedList<>();

    /** Initialize your data structure here. */
    public MovingAverage(int size) 
        this.size = size;
    

    public double next(int val) 
        if (q.size() == size) 
            sum -= q.poll();
        
        sum += val;
        q.offer(val);
        return sum * 1.0 / q.size();
    


/**
 * Your MovingAverage object will be instantiated and called as such:
 * MovingAverage obj = new MovingAverage(size);
 * double param_1 = obj.next(val);
 */

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python

class MovingAverage:

    def __init__(self, size: int):
        """
        Initialize your data structure here.
        """
        self.size = size
        self.sum = 0
        self.q = deque()

    def next(self, val: int) -> float:
        if len(self.q) == self.size:
            self.sum -= self.q.popleft()
        self.sum += val
        self.q.append(val)
        return self.sum / len(self.q)

# Your MovingAverage object will be instantiated and called as such:
# obj = MovingAverage(size)
# param_1 = obj.next(val)

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原题传送门：https://leetcode.cn/problems/qIsx9U/

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