Write a class StockSpanner which collects daily price quotes for some stock, and returns the span of that stock's price for the current day.

The span of the stock's price today is defined as the maximum number of consecutive days (starting from today and going backwards) for which the price of the stock was less than or equal to today's price.

For example, if the price of a stock over the next 7 days were [100, 80, 60, 70, 60, 75, 85], then the stock spans would be [1, 1, 1, 2, 1, 4, 6].

Example 1:

Input: ["StockSpanner","next","next","next","next","next","next","next"], [[],[100],[80],[60],[70],[60],[75],[85]]
Output: [null,1,1,1,2,1,4,6]
Explanation:
First, S = StockSpanner() is initialized. Then:
S.next(100) is called and returns 1,
S.next(80) is called and returns 1,
S.next(60) is called and returns 1,
S.next(70) is called and returns 2,
S.next(60) is called and returns 1,
S.next(75) is called and returns 4,
S.next(85) is called and returns 6. Note that (for example) S.next(75) returned 4, because the last 4 prices
(including today's price of 75) were less than or equal to today's price.

Note:

  1. Calls to StockSpanner.next(int price) will have 1 <= price <= 10^5.
  2. There will be at most 10000 calls to StockSpanner.next per test case.
  3. There will be at most 150000 calls to StockSpanner.next across all test cases.
  4. The total time limit for this problem has been reduced by 75% for C++, and 50% for all other languages.

给一个股票价格的数组,写一个函数计算每一天的股票跨度,股票跨度是从当天股票价格开始回看连续的比当天价格低的最大连续天数。

解法1:简单但效率低的思路,对于每一天向后计算连续比当前价格低的天数。时间复杂度:O(n^2)

解法2: 栈

You can refer to the same problem 739. Daily Temperatures.

Push every pair of <price, result> to a stack.
Pop lower price from the stack and accumulate the count.

One price will be pushed once and popped once.
So 2 * N times stack operations and N times calls.
I'll say time complexity is O(1)

Java:

Stack<int[]> stack = new Stack<>();
public int next(int price) {
int res = 1;
while (!stack.isEmpty() && stack.peek()[0] <= price)
res += stack.pop()[1];
stack.push(new int[]{price, res});
return res;
}  

Python:

def __init__(self):
self.stack = [] def next(self, price):
res = 1
while self.stack and self.stack[-1][0] <= price:
res += self.stack.pop()[1]
self.stack.append([price, res])
return res

C++:

stack<pair<int, int>> s;
int next(int price) {
int res = 1;
while (!s.empty() && s.top().first <= price) {
res += s.top().second;
s.pop();
}
s.push({price, res});
return res;
}

  

类似题目:  

[LeetCode] 739. Daily Temperatures 每日温度

All LeetCode Questions List 题目汇总

[LeetCode] 901. Online Stock Span 线上股票跨度的更多相关文章

  1. [LeetCode] 901. Online Stock Span 股票价格跨度

    Write a class StockSpanner which collects daily price quotes for some stock, and returns the span of ...

  2. leetcode 901. Online Stock Span

    Write a class StockSpanner which collects daily price quotes for some stock, and returns the span of ...

  3. LC 901. Online Stock Span

    Write a class StockSpanner which collects daily price quotes for some stock, and returns the span of ...

  4. 【LeetCode】901. Online Stock Span 解题报告(Python)

    作者: 负雪明烛 id: fuxuemingzhu 个人博客: http://fuxuemingzhu.cn/ 目录 题目描述 题目大意 解题方法 单调递减栈 日期 题目地址:https://leet ...

  5. 【leetcode】901. Online Stock Span

    题目如下: 解题思路:和[leetcode]84. Largest Rectangle in Histogram的核心是一样的,都是要找出当前元素之前第一个大于自己的元素. 代码如下: class S ...

  6. 901. Online Stock Span [短于线性的时间统计单个元素的Span ]

    Span 指这个元素之前连续的小于这个元素的值有多少个 原理: 维护递减栈 这个栈内的元素是递减的序列 新到一个元素x 依次出栈比x小的(也就是这个元素的Span) 这种问题的关键在于 新来的元素如果 ...

  7. [Swift]LeetCode901. 股票价格跨度 | Online Stock Span

    Write a class StockSpanner which collects daily price quotes for some stock, and returns the span of ...

  8. httpclient+jsoup实现小说线上采集阅读

    前言 用过老版本UC看小说的同学都知道,当年版权问题比较松懈,我们可以再UC搜索不同来源的小说,并且阅读,那么它是怎么做的呢?下面让我们自己实现一个小说线上采集阅读.(说明:仅用于技术学习.研究) 看 ...

  9. 我整理的一份来自于线上的Nginx配置(Nginx.conf),希望对学习Nginx的有帮助

    我整理了一份Nginx的配置文件说明,是真正经历过正式线上考验过.如果有优化的地方,也请朋友们指点一二,整理出一份比较全而实用的配置. 主要包含配置:负载均衡配置,页面重定向,转发,HTTPS和HTT ...

随机推荐

  1. 在 iTunes Connect 中,无法找到“My Apps”选项

    Cannot find "My Apps" option in iTunes Connect, to upload my app on the app-store:stackove ...

  2. Codechef Palindromeness 和 SHOI2011 双倍回文

    Palindromeness Let us define the palindromeness of a string in the following way: If the string is n ...

  3. extern与头文件(*.h)的区别和联系

    原文网址为:http://lpy999.blog.163.com/blog/static/117372061201182051413310/ 个人认为有一些道理:所以转过来学习了. 用#include ...

  4. jQuery中判断数组

    判断数组里面是否包含某个元素可以使用 $.inArray("元素(字符串)",数组名称) 进行判断 ,当存在该元素(字符串)时,返回该元素在数组的下标,不存在时返回 -1 jQ=& ...

  5. 【转载】windbg 常用命令详解

    windbg 常用命令详解 https://blog.csdn.net/chenyujing1234/article/details/7743460 vertarget 显示当前进程的大致信息 lmv ...

  6. RookeyFrame 代码层面 常用方法

    测试代码均写在这个类里面的,因为是测试嘛,所以表名那些就将就看了.最后写完了再贴上全部代码 类的路径:Rookey.Frame.Operate.Base -> Test -> Class1 ...

  7. call JSON.parse JSON.stringify typeof 的使用及严格模式this的使用

    <!DOCTYPE html> <html> <head> <meta charset="utf-8"> <title> ...

  8. 为什么很多人坚信“富贵险中求”?

    之家哥 2017-11-15 09:12:31 微信QQ微博 下载APP 摘要 网贷之家小编根据舆情频道的相关数据,精心整理的关于<为什么很多人坚信"富贵险中求"?>的 ...

  9. 洛谷 CF1153B Serval and Toy Bricks

    目录 题目 思路 \(Code\) 题目 CF1153B Serval and Toy Bricks 思路 自己也很懵的一道题(不知道自己怎么就对了)...只要对于所给的俯视图上值为\(1\)的位置输 ...

  10. from表格

    目录 from 功能: 表单元素 表单工作原理: input 属性说明: select标签 属性说明: label标签 属性说明: from 功能: 表单用于向服务器传输数据,从而实现用户与Web服务 ...