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;
}
}