package design;
import java.util.HashMap;
import java.util.Map;
/**
* Created by gouthamvidyapradhan on 18/03/2017. 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:
*
*
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
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*/
public class LRUCache {
public static class DLinkList {
int key, value;
DLinkList left;
DLinkList right;
DLinkList(int key, int value) {
this.key = key;
this.value = value;
left = null;
right = null;
}
}
private Map cache;
private DLinkList head, tail;
private int capacity, currentSize;
/**
* Pop head node
*
* @return
*/
private DLinkList popHead() {
if (!head.right.equals(tail)) {
DLinkList node = head.right;
head.right = node.right;
node.right.left = head;
node.right = null;
node.left = null;
return node;
}
return null;
}
/**
* Push to tail
*
* @param node
*/
private void offer(DLinkList node) {
tail.left.right = node;
node.left = tail.left;
node.right = tail;
tail.left = node;
}
/**
* Move node to tail
*
* @param node
*/
private void moveToTail(DLinkList node) {
node.left.right = node.right;
node.right.left = node.left;
offer(node);
}
/**
* Main method
*
* @param args
* @throws Exception
*/
public static void main(String[] args) throws Exception {
LRUCache cache = new LRUCache(2);
cache.put(1, 1);
cache.put(2, 2);
System.out.println(cache.get(1));
cache.put(3, 3);
System.out.println(cache.get(2));
cache.put(4, 4);
System.out.println(cache.get(1));
System.out.println(cache.get(3));
System.out.println(cache.get(4));
}
public LRUCache(int capacity) {
this.capacity = capacity;
this.currentSize = 0;
cache = new HashMap<>();
head = new DLinkList(-1, -1);
tail = new DLinkList(-1, -1);
head.right = tail;
tail.left = head;
}
public int get(int key) {
if (cache.get(key) == null) return -1;
DLinkList node = cache.get(key);
moveToTail(node);
return node.value;
}
public void put(int key, int value) {
if (cache.containsKey(key)) {
DLinkList node = cache.get(key);
node.value = value;
moveToTail(node);
} else {
if (capacity == currentSize) {
DLinkList head = popHead();
if (head != null) {
cache.remove(head.key);
DLinkList node = new DLinkList(key, value);
offer(node);
cache.put(key, node);
}
} else {
DLinkList node = new DLinkList(key, value);
offer(node);
cache.put(key, node);
++currentSize;
}
}
}
}