【LeetCode OJ】LRU Cache
Problem Link:
http://oj.leetcode.com/problems/lru-cache/
Long long ago, I had a post for implementing the LRU Cache in C++ in my homepage:
http://www.cs.uml.edu/~jlu1/doc/codes/lruCache.html
So this time, I am trying to use Python to implement a LRU Cache.
However, the result is Time Limit Exceeded.....
My previous post is of C++ template version, but for this problem, the key and value are both integer, so I had a simpler version in C++ here.
I will keep trying to pass the test using python... damn efficiency...
#include <iostream>
#include <vector>
#include <map> using namespace std; struct LRUCacheEntry
{
int key;
int data;
LRUCacheEntry* prev;
LRUCacheEntry* next;
}; class LRUCache{
private:
map<int, LRUCacheEntry*> _mapping;
vector<LRUCacheEntry*> _freeEntries;
LRUCacheEntry * head;
LRUCacheEntry * tail;
LRUCacheEntry * entries; public:
LRUCache(int capacity) {
entries = new LRUCacheEntry[capacity];
for (int i=0; i<capacity; i++)
_freeEntries.push_back(entries+i);
head = new LRUCacheEntry;
tail = new LRUCacheEntry;
head->prev = NULL;
head->next = tail;
tail->next = NULL;
tail->prev = head;
} ~LRUCache()
{
delete head;
delete tail;
delete [] entries;
} int get(int key) {
LRUCacheEntry* node = _mapping[key];
if(node)
{
detach(node);
attach(node);
return node->data;
}
else return -1;
} void set(int key, int value) {
LRUCacheEntry* node = _mapping[key];
if(node)
{
// Move the node to the head and update the value
detach(node);
node->data = value;
attach(node);
}
else{
if ( _freeEntries.empty() )
{
// Get the last node
node = tail->prev;
// Move it to the head and update (key, value)
// Update the map
detach(node);
_mapping.erase(node->key);
node->data = value;
node->key = key;
_mapping[key] = node;
attach(node);
}
else{
node = _freeEntries.back();
_freeEntries.pop_back();
node->key = key;
node->data = value;
_mapping[key] = node;
attach(node);
}
}
} private:
void detach(LRUCacheEntry* node)
{
node->prev->next = node->next;
node->next->prev = node->prev;
}
void attach(LRUCacheEntry* node)
{
node->next = head->next;
node->prev = head;
head->next = node;
node->next->prev = node;
}
};
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