LRU Cache — LeetCode 146 Python Solution
- Problem
- #146
- Pattern
- Linked List
- Reading time
- 10 min
- Source
- leetcode.com
The 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.
Example
- Input
- ["LRUCache", "put", "put", "get", "put", "get", "put", "get", "get", "get"]
- Output
- [null, null, null, 1, null, -1, null, -1, 3, 4]
- Explanation
- LRUCache lRUCache = new LRUCache(2);
Python solution
class Node:
def __init__(self, key: int = 0, val: int = 0):
self.key = key
self.val = val
self.prev = None
self.next = None
class LRUCache:
def __init__(self, capacity: int):
self.size = 0
self.capacity = capacity
self.cache = {}
self.head = Node()
self.tail = Node()
self.head.next = self.tail
self.tail.prev = self.head
def get(self, key: int) -> int:
if key not in self.cache:
return -1
node = self.cache[key]
self.remove_node(node)
self.add_to_head(node)
return node.val
def put(self, key: int, value: int) -> None:
if key in self.cache:
node = self.cache[key]
self.remove_node(node)
node.val = value
self.add_to_head(node)
else:
node = Node(key, value)
self.cache[key] = node
self.add_to_head(node)
self.size += 1
if self.size > self.capacity:
node = self.tail.prev
self.cache.pop(node.key)
self.remove_node(node)
self.size -= 1
def remove_node(self, node):
node.prev.next = node.next
node.next.prev = node.prev
def add_to_head(self, node):
node.next = self.head.next
node.prev = self.head
self.head.next = node
node.next.prev = node
# Your LRUCache object will be instantiated and called as such:
# obj = LRUCache(capacity)
# param_1 = obj.get(key)
# obj.put(key,value)Complexity
| Measure | Complexity |
|---|---|
| Time | O(1) |
| Space | O(\textit{capacity}) auxiliary |
Pattern: Linked List
Rewire pointers in place, with a dummy head and a saved next to keep it safe. LeetCode 146. LRU Cache is filed here because LeetCode tags it Linked List and Doubly-Linked List, which is the vocabulary this hub collects.
The linked list guide has the Python template for the pattern and the 75 LeetCode problems that use it.
Related problems
On study lists
This problem is on NeetCode 150, Grind 75 and Top Interview 150.
Frequently asked questions
- How hard is LeetCode 146. LRU Cache?
- LeetCode 146. LRU Cache is rated Medium on LeetCode.
- What is the time complexity of LeetCode 146. LRU Cache?
- The Python solution on this page runs in O(1).
- What is the space complexity of LeetCode 146. LRU Cache?
- The Python solution on this page uses O(\textit{capacity}) auxiliary space.
- What topics does LeetCode 146. LRU Cache cover?
- LeetCode 146. LRU Cache is tagged Design, Hash Table, Linked List and Doubly-Linked List on LeetCode.