Skip to main content
LeetCode 146, Medium. Topics: Hash Table, Linked List, Design, Doubly-Linked List. View on LeetCode. Generate this problem as a practice environment: tested reference solution, 12 parametrized pytest cases, and a playground notebook:

Problem

Design a data structure that follows the constraints of a Least Recently Used (LRU) cache. Implement the LRUCache class:
  • LRUCache(int capacity) Initialize the LRU cache with positive size capacity
  • int get(int key) Return the value of the key if the key exists, otherwise return -1
  • 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 from this operation, evict the least recently used key
The functions get and put must each run in O(1) average time complexity.

Examples

Constraints

  • 1 <= capacity <= 3000
  • 0 <= key <= 10^4
  • 0 <= value <= 10^5
  • At most 2 * 10^5 calls will be made to get and put

Solution

Reference implementation from solution.py on GitHub, full suite in test_solution.py:

Complexity

Tags

Grind 75, Grind, NeetCode 150, NeetCode 250, NeetCode All, AlgoMaster 75.
Last modified on August 25, 2026