Skip to content
Programming101
Programming101

Learn everything about programming

  • Home
  • CS Subjects
    • IoT – Internet of Things
    • Digital Communication
    • Human Values
  • Programming Tutorials
    • C Programming
    • Data structures and Algorithms
  • HackerRank Solutions
    • HackerRank Algorithms Solutions
    • HackerRank C problems solutions
    • HackerRank C++ problems solutions
    • HackerRank Java problems solutions
    • HackerRank Python problems solutions
Programming101
Programming101

Learn everything about programming

Leetcode LRU Cache problem solution

YASH PAL, 31 July 2024

In this Leetcode LRU Cache problem solution, we need to Design, a data structure that follows the constraints of a Least Recently Used (LRU) cache.

Implement the LRUCache class:

  1. LRUCache(int capacity) Initialize the LRU cache with positive size capacity.
  2. int get(int key) Return the value of the key if the key exists, otherwise return -1.
  3. void put(int key, int value) Update the value of the key if the key exists. Otherwise, add the key-value pair to the cache. If the number of keys exceeds the capacity of this operation, evict the least recently used key.

The functions get and put must each run in O(1) average time complexity.

Leetcode LRU Cache problem solution

Problem solution in Python.

def __init__(self, capacity):
    self.dic = collections.OrderedDict()
    self.remain = capacity

def get(self, key):
    if key not in self.dic:
        return -1
    v = self.dic.pop(key) 
    self.dic[key] = v   # set key as the newest one
    return v

def set(self, key, value):
    if key in self.dic:    
        self.dic.pop(key)
    else:
        if self.remain > 0:
            self.remain -= 1  
        else:  # self.dic is full
            self.dic.popitem(last=False) 
    self.dic[key] = value

Problem solution in Java.

class LRUCache {
  Map<Integer, Integer> linkedMap;
  public LRUCache(final int capacity) {
    linkedMap = new LinkedHashMap<>(capacity, 1, true) {
      @Override
      public boolean removeEldestEntry(Map.Entry<Integer, Integer> eldest) {
        return capacity + 1 == size();
      }
    };
  }
  public int get(int key) {
    Integer v = linkedMap.get(key);
    return v == null ? -1 : v;
  }
  public void put(int key, int value) {
    linkedMap.put(key, value);
  }
}

Problem solution in C++.

list<int>dq;
    unordered_map<int, list<int>::iterator> mp;
    int a[3001];
    int c;
    LRUCache(int capacity) {
        for(int i=0;i<=3000;i++)
            a[i]=-1;
        c=capacity;
    }
    
    int get(int key) {
        if(mp.find(key)!=mp.end())
        {
            int val=a[key];
            dq.erase(mp[key]);
            dq.push_front(key);
            mp[key]=dq.begin();
        }
        return a[key];
        
    }
    
    void put(int key, int value) {
        if(mp.find(key)==mp.end())
        {
            if(dq.size()==c)
            {
                int last=dq.back();
                dq.pop_back();
                mp.erase(last);
                a[last]=-1;
            }
            
        }
        else
        {
            dq.erase(mp[key]);
            mp.erase(key);
        }
        
        dq.push_front(key);
        mp[key]=dq.begin();
        a[key]=value;
    }

Problem solution in C.

struct hash_map
{
  int key;
  int val;
  UT_hash_handle hh
};
typedef struct hash_map map;
map* cache = NULL;
map* cacheFind(int key);
void cacheCleanup();
void cachePrint();
void cacheInvalidate();
map* cacheAging(map* lastUsed);

int totalSize, used;

void lruCacheInit(int capacity)
{
  cache = NULL;
  totalSize = capacity;
  used = 0;
}

void lruCacheFree()
{
  cacheCleanup();
  used = 0;
}

int lruCacheGet(int key)
{
  map* s = cacheFind(key);
  if(s == NULL)    return -1;
  else
  {
    s = cacheAging(s);
    return s->val;
  }
}
    
void lruCacheSet(int key, int value)
{
  map* s;
  HASH_FIND_INT(cache, &key, s);
  if (s!=NULL)
  {
    s = cacheAging(s);
  }
  else
  {
    if(used == totalSize)
      cacheInvalidate();

    s = (map*)malloc(sizeof(map));
    s->key = key;
    HASH_ADD_INT(cache, key, s);
    used++;
  }
  s->val = value;
}

map* cacheAging(map* lastUsed)
{

  int key   = lastUsed->key;
  int value = lastUsed->val;

  HASH_DEL(cache, lastUsed);  
  free(lastUsed);

  map* s = (map*)malloc(sizeof(map));
  s->key = key;
  s->val = value;
  HASH_ADD_INT(cache, key, s);

  return s;
}

void cacheInvalidate()
{
  map* s = cache;
  HASH_DEL(cache,s);
  free(s);
  used--;
}

map* cacheFind(int key)
{
    map* s;
    HASH_FIND_INT(cache, &key, s);
    return s;
}

void cacheCleanup()
{
  map* cur, *tmp;
  HASH_ITER(hh, cache, cur, tmp)
  {
    HASH_DEL(cache, cur);
    free(cur);
  }
}

void cachePrint()
{
    map* s;
    for(s=cache; s != NULL; s=(map*)(s->hh.next))
      printf("key %d:  value %dn", s->key, s->val);
}

coding problems

Post navigation

Previous post
Next post
  • How AI Is Revolutionizing Personalized Learning in Schools
  • GTA 5 is the Game of the Year for 2024 and 2025
  • Hackerrank Day 5 loops 30 days of code solution
  • Hackerrank Day 6 Lets Review 30 days of code solution
  • Hackerrank Day 14 scope 30 days of code solution
©2025 Programming101 | WordPress Theme by SuperbThemes