• NC93 设计LRU缓存结构


    package NC;

    import java.util.ArrayList;
    import java.util.List;
    import java.util.Objects;

    /**
    * NC93 设计LRU缓存结构
    *
    * 设计LRU(最近最少使用)缓存结构,该结构在构造时确定大小,假设大小为 k,并有如下两个功能
    * 1. set(key, value):将记录(key, value)插入该结构
    * 2. get(key):返回key对应的value值
    *
    * 提示:
    * 1.某个key的set或get操作一旦发生,认为这个key的记录成了最常使用的,然后都会刷新缓存。
    * 2.当缓存的大小超过k时,移除最不经常使用的记录。
    * 3.输入一个二维数组与k,二维数组每一维有2个或者3个数字,第1个数字为opt,第2,3个数字为key,value
    * 若opt=1,接下来两个整数key, value,表示set(key, value)
    * 若opt=2,接下来一个整数key,表示get(key),若key未出现过或已被移除,则返回-1
    * 对于每个opt=2,输出一个答案
    * 4.为了方便区分缓存里key与value,下面说明的缓存里key用""号包裹
    *
    * @author Tang
    * @date 2021/9/24
    */
    public class LRU {

    public int[] LRU (int[][] operators, int k) {
    // write code here
    List<Object> result = new ArrayList<>();

    LinkedMap linkedMap = new LinkedMap(k);
    for(int i = 0; i < operators.length; i++) {
    int[] operator = operators[i];
    if(operator[0] == 2) {
    Object o = linkedMap.get(operator[1]);
    result.add(o == null ? -1 : o);
    }else {
    linkedMap.put(operator[1], operator[2]);
    }

    }
    int[] results = new int[result.size()];
    for(int i = 0; i < result.size(); i++) {
    results[i] = (int) result.get(i);
    }

    return results;
    }

    public static void main(String[] args) {

    LinkedMap linkedMap = new LinkedMap(3);

    linkedMap.put(3,3);
    linkedMap.put(1,1);
    linkedMap.put(2,2);

    linkedMap.put(3,4);

    linkedMap.put(5,5);

    linkedMap.put(6,6);

    linkedMap.put(7,7);
    System.out.println(linkedMap.size());

    System.out.println(linkedMap.get(7));

    int[][] num = {{1,1,1},{1,2,2},{1,3,2},{2,1},{1,4,4},{2,2}};
    new LRU().LRU(num, 3);

    }



    }

    class LinkedMap {

    /**
    * 首元素 不用做存储数据
    */
    Entry first = new Entry(null,null);

    Entry last;

    int size;

    int max;

    public LinkedMap(int max) {
    this.max = max;
    }

    public int size() {
    return size;
    }

    private Entry search(Object key) {
    //从头遍历找到元素
    Entry head = first;
    Entry result = null;
    while(head != null) {
    if(key.equals(head.getKey())) {
    result = head;
    break;
    }
    head = head.getNext();
    }
    return result;
    }

    public void put(Object key, Object value){
    Entry entry = new Entry(key, value);

    Entry head = first.getNext();
    while (head != null) {
    head = head.getNext();
    }

    if(first.getNext() == null) {
    first.setNext(entry);
    last = entry;
    last.setPre(first);
    size++;
    return;
    }

    //头插法加入新元素
    entry.setNext(first.getNext());
    entry.setPre(first);
    first.getNext().setPre(entry);
    first.setNext(entry);
    size++;

    //当size达到最大,删除last元素
    if(size > max) {
    last = last.getPre();
    last.setNext(null);
    size--;
    }
    }

    public Object get(Object key) {
    Entry search = search(key);
    if(search == null) {
    return null;
    }

    //找到后将元素置于头部
    Entry pre = search.getPre();
    Entry next = search.getNext();
    pre.setNext(next);
    if(next != null) {
    next.setPre(pre);
    }

    search.setNext(first.getNext());
    if(first.getNext() != null) {
    first.getNext().setPre(search);
    }
    first.setNext(search);
    return search.getValue();
    }

    }


    class Entry {

    private Object key;

    private Object value;

    private Entry pre;

    private Entry next;

    public Entry(Object key, Object value) {
    this.key = key;
    this.value = value;
    }

    public Entry getPre() {
    return pre;
    }

    public void setPre(Entry pre) {
    this.pre = pre;
    }

    public Entry getNext() {
    return next;
    }

    public void setNext(Entry next) {
    this.next = next;
    }

    public Object getKey() {
    return key;
    }

    public void setKey(Object key) {
    this.key = key;
    }

    public Object getValue() {
    return value;
    }

    public void setValue(Object value) {
    this.value = value;
    }
    }
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  • 原文地址:https://www.cnblogs.com/ttaall/p/15329949.html
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