Implement FreqStack, a class which simulates the operation of a stack-like data structure.

FreqStack has two functions:

  • push(int x), which pushes an integer x onto the stack.
  • pop(), which removes and returns the most frequent element in the stack.
    • If there is a tie for most frequent element, the element closest to the top of the stack is removed and returned.

Example 1:

Input:
["FreqStack","push","push","push","push","push","push","pop","pop","pop","pop"],
[[],[5],[7],[5],[7],[4],[5],[],[],[],[]]
Output: [null,null,null,null,null,null,null,5,7,5,4]
Explanation:
After making six .push operations, the stack is [5,7,5,7,4,5] from bottom to top. Then: pop() -> returns 5, as 5 is the most frequent.
The stack becomes [5,7,5,7,4]. pop() -> returns 7, as 5 and 7 is the most frequent, but 7 is closest to the top.
The stack becomes [5,7,5,4]. pop() -> returns 5.
The stack becomes [5,7,4]. pop() -> returns 4.
The stack becomes [5,7].

Note:

  • Calls to FreqStack.push(int x) will be such that 0 <= x <= 10^9.
  • It is guaranteed that FreqStack.pop() won't be called if the stack has zero elements.
  • The total number of FreqStack.push calls will not exceed 10000 in a single test case.
  • The total number of FreqStack.pop calls will not exceed 10000in a single test case.
  • The total number of FreqStack.push and FreqStack.pop calls will not exceed 150000 across all test cases.

分析:

因为pop()一定是pop out频率最高,并且位置最靠近stack顶端的,所以,我们可以创建HashMap<Integer, Stack<Integer>> 这样一个map,key是频率,值是同一频率的值。

我们每次push的时候,需要知道那个值当前的频率,所以,我们需要有一个map来保存值与频率的关系。

 class FreqStack {
HashMap<Integer, Integer> freq = new HashMap<>();
HashMap<Integer, Stack<Integer>> m = new HashMap<>();
int maxfreq = ; public void push(int x) {
int f = freq.getOrDefault(x, ) + ;
freq.put(x, f);
maxfreq = Math.max(maxfreq, f);
if (!m.containsKey(f)) m.put(f, new Stack<Integer>());
m.get(f).add(x);
} public int pop() {
int x = m.get(maxfreq).pop();
freq.put(x, maxfreq - );
if (m.get(maxfreq).size() == ) maxfreq--;
return x;
}
}

Maximum Frequency Stack的更多相关文章

  1. 【LeetCode】895. Maximum Frequency Stack 解题报告(Python)

    [LeetCode]895. Maximum Frequency Stack 解题报告(Python) 作者: 负雪明烛 id: fuxuemingzhu 个人博客: http://fuxueming ...

  2. LeetCode - Maximum Frequency Stack

    Implement FreqStack, a class which simulates the operation of a stack-like data structure. FreqStack ...

  3. [Swift]LeetCode895. 最大频率栈 | Maximum Frequency Stack

    Implement FreqStack, a class which simulates the operation of a stack-like data structure. FreqStack ...

  4. 最大频率栈 Maximum Frequency Stack

    2018-10-06 22:01:11 问题描述: 问题求解: 为每个频率创建一个栈即可. class FreqStack { Map<Integer, Integer> map; Lis ...

  5. [LeetCode] 895. Maximum Frequency Stack 最大频率栈

    Implement FreqStack, a class which simulates the operation of a stack-like data structure. FreqStack ...

  6. LeetCode 895. Maximum Frequency Stack

    题目链接:https://leetcode.com/problems/maximum-frequency-stack/ 题意:实现一种数据结构FreqStack,FreqStack需要实现两个功能: ...

  7. Uncaught RangeError: Maximum call stack size exceeded 调试日记

    异常处理汇总-前端系列 http://www.cnblogs.com/dunitian/p/4523015.html 开发道路上不是解决问题最重要,而是解决问题的过程,这个过程我们称之为~~~调试 记 ...

  8. Uncaught RangeError: Maximum call stack size exceeded 超出最大调用值(个人解释)

    写了段jq后,报这个错,度娘未解,灵光一闪,找到原因,上代码: Html 结构: <a href="javascript:;" class="item-pic&qu ...

  9. Ext.encode 抛出异常“Uncaught RangeError: Maximum call stack size exceeded”

    在用使用Ext.encode(ExtObject)过程中抛出了如下错误: Uncaught RangeError: Maximum call stack size exceeded 实际上,不能用 E ...

随机推荐

  1. 分布式hadoop 架构图

    zk:zookeeper NN:namenode DN:datanode ZF Failover Controller:简称zkfc ,是zk的客户端,只运行在主备的namenode上,主要作用是判断 ...

  2. ubuntu配置pip3以及scrapy

    .安装支持pip3 sudo apt-get install python3-pip .安装scrapy 首先需要安装scrapy依赖项,否则scrapy安装失败,执行如下命令: sudo apt-g ...

  3. 前端导出pdf

    html2canvas文档地址 http://html2canvas.hertzen.com/configuration 方式一:使用html2canvas和jspdf插件实现 该方式是通过html2 ...

  4. FatMouse's Speed

    J - FatMouse's Speed DP的题写得多了慢慢也有了思路,虽然也还只是很简单的DP. 因为需要输出所有选择的老鼠,所以刚开始的时候想利用状态压缩来储存所选择的老鼠,后面才发现n太大1& ...

  5. JavaWeb_(Spring框架)SpringAOP面向切面编程

    SpringAOP:面向切面编程(面向fifter编程) 通俗易懂术语:所有纵向重复的代码,我们提取成横向的代码 以下文章内容参考知乎:从0带你学习SpringAOP,彻底的理解AOP思想 传送门 1 ...

  6. 使用io/ioutil进行读写文件

    读文件: package main import ( "fmt" "io/ioutil" ) func main() { b, err := ioutil.Re ...

  7. linux 下安装redis并用QT写客户端程序进行连接

      1.安装redis.使用如下命令: wget http://dowload.redis.io/redis-stable.tar.gz tar xzf redis-stable.tar.gz cd ...

  8. 前端知识扫盲-VUE知识篇一(VUE核心知识)

    最近对整个前端的知识做了一次复盘,总结了一些知识点,分享给大家有助于加深印象. 想要更加理解透彻的同学,还需要大家自己去查阅资料或者翻看源码.后面会陆续的更新一些相关注知识点的文章. 文章只提出问题, ...

  9. leetcode 146. LRU Cache 、460. LFU Cache

    LRU算法是首先淘汰最长时间未被使用的页面,而LFU是先淘汰一定时间内被访问次数最少的页面,如果存在使用频度相同的多个项目,则移除最近最少使用(Least Recently Used)的项目. LFU ...

  10. Android:通过systrace进行性能分析

    一.Systrace 简介 Systrace 允许您在系统级别(如SurfaceFlinger.WindowManagerService等Framework部分关键模块.服务.View系统等)收集和检 ...