package com.freetymekiyan.algorithms.level.hard; import java.util.LinkedHashMap; import java.util.Map; /** * Design and implement a data structure for Least Recently Used (LRU) cache. * It should support the following operations: get and set. * <p> * get(key) - Get the value (will always be positive) of the key if the key * exists in the cache, otherwise return -1. * (get means use, so we need to update) * <p> * set(key, value) - Set or insert the value if the key is not already present. * When the cache reached its capacity, it should invalidate the least recently * used item before inserting a new item. * <p> * Tags: Data Structure */ class LRUCacheLinkedHashMap extends LinkedHashMap { private final int capacity; public LRUCacheLinkedHashMap(int capacity, float loadFactor) { super(capacity, loadFactor, true); this.capacity = capacity; } public static void main(String arg[]) { LRUCacheLinkedHashMap lruCache = new LRUCacheLinkedHashMap(4, 0.75f); lruCache.put(1, "Object1"); lruCache.put(2, "Object2"); lruCache.put(3, "Object3"); lruCache.get(1); lruCache.put(4, "Object4"); System.out.println(lruCache); lruCache.put(5, "Object5"); lruCache.get(3); lruCache.put(6, "Object6"); System.out.println(lruCache); lruCache.get(4); lruCache.put(7, "Object7"); lruCache.put(8, "Object8"); System.out.println(lruCache); } @Override protected boolean removeEldestEntry(Map.Entry eldest) { return size() > capacity; } }