[LeetCode] Problem 146 - LRU Cache

Design and implement a data structure for Least Recently Used (LRU) cache. It should support the following operations: get and put.

get(key) - Get the value (will always be positive) of the key if the key exists in the cache, otherwise return -1.
put(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.

Follow up

Could you do both operations in O(1) time complexity?

Example

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LRUCache cache = new LRUCache( 2 /* capacity */ );

cache.put(1, 1);
cache.put(2, 2);
cache.get(1); // returns 1
cache.put(3, 3); // evicts key 2
cache.get(2); // returns -1 (not found)
cache.put(4, 4); // evicts key 1
cache.get(1); // returns -1 (not found)
cache.get(3); // returns 3
cache.get(4); // returns 4

Code

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public class LinkedNode {
private int key;
private int value;
private LinkedNode prev;
private LinkedNode next;

public LinkedNode(int key, int value) {
this.key = key;
this.value = value;
}
}

private int capacity;
private Map<Integer, LinkedNode> map;
LinkedNode head;
LinkedNode tail;

public LRUCache(int capacity) {
this.capacity = capacity;
this.map = new HashMap<>();
this.head = new LinkedNode(-1, -1);
this.tail = new LinkedNode(-1, -1);

head.next = tail;
tail.prev = head;
}

public int get(int key) {
if (!map.containsKey(key))
return -1;

LinkedNode node = map.get(key);
remove(node);
add(node);
return node.value;
}

public void put(int key, int value) {
if (map.containsKey(key)) {
LinkedNode node = map.get(key);
node.value = value;

remove(node);
add(node);
} else {
if (map.size() >= capacity) {
LinkedNode last = tail.prev;
remove(last);
map.remove(last.key);
}

LinkedNode node = new LinkedNode(key, value);
add(node);
map.put(key, node);
}
}

private void remove(LinkedNode node) {
node.prev.next = node.next;
node.next.prev = node.prev;
}

private void add(LinkedNode node) {
node.next = head.next;
head.next.prev = node;
head.next = node;
node.prev = head;
}