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LeetCode LRU Cache
Design and implement a data structure for Least Recently Used (LRU) cache. It should support the following operations: get
and set
.
get(key)
- Get the value (will always be positive) of the key if the key exists in the cache, otherwise return -1.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.
public class LRUCache { private int cacheSize; private HashMap<Object, Entry> nodes;//缓存容器 private int currentSize; private Entry first;//链表头 private Entry last;//链表尾 class Entry { Entry prev;//前一节点 Entry next;//后一节点 int value;//值 int key;//键 } public LRUCache(int capacity) { currentSize = 0; cacheSize = capacity; nodes = new HashMap<Object, Entry>(capacity);//缓存容器 } /** * 获取缓存中对象,并把它放在最前面 */ public int get(int key) { Entry node = nodes.get(key); if (node != null) { moveToHead(node); return node.value; } else { return -1; } } /** * 添加 entry到hashtable, 并把entry */ public void set(int key, int value) { //先查看hashtable是否存在该entry, 如果存在,则只更新其value Entry node = nodes.get(key); if (node == null) { //缓存容器是否已经超过大小. if (currentSize >= cacheSize) { nodes.remove(last.key); removeLast(); } else { currentSize++; } node = new Entry(); } node.value = value; node.key=key; //将最新使用的节点放到链表头,表示最新使用的. moveToHead(node); nodes.put(key, node); } /** * 将entry删除, 注意:删除操作只有在cache满了才会被执行 */ public void remove(Object key) { Entry node = nodes.get(key); //在链表中删除 if (node != null) { if (node.prev != null) { node.prev.next = node.next; } if (node.next != null) { node.next.prev = node.prev; } if (last == node) last = node.prev; if (first == node) first = node.next; } //在hashtable中删除 nodes.remove(key); } /** * 删除链表尾部节点,即使用最后 使用的entry */ private void removeLast() { //链表尾不为空,则将链表尾指向null. 删除连表尾(删除最少使用的缓存对象) if (last != null) { if (last.prev != null) last.prev.next = null; else first = null; last = last.prev; } } /** * 移动到链表头,表示这个节点是最新使用过的 */ private void moveToHead(Entry node) { if (node == first) return; if (node.prev != null) node.prev.next = node.next; if (node.next != null) node.next.prev = node.prev; if (last == node) last = node.prev; if (first != null) { node.next = first; first.prev = node; } first = node; node.prev = null; if (last == null) last = first; } /* * 清空缓存 */ public void clear() { first = null; last = null; currentSize = 0; }}
LeetCode LRU Cache
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