lru

Especially when using recursive code there are massive improvements with lru_cache . I do understand that a cache is a space that stores data that has to be served fast and saves the computer from recomputing. How does the Python lru_cache from functools work internally? I'm Looking for a specific answer, does it use dictionaries like the rest of Python? Does it only store the return value? I know that Python is heavily built on top of dictionaries, however, I couldn't find a specific answer to this question. Hopefully, someone can simplify this answer for all the users on StackOverflow .

I was trying to implement a LRU cache using LinkedHashMap. In the documentation of LinkedHashMap ( http://docs.oracle.com/javase/7/docs/api/java/util/LinkedHashMap.html ), it says: Note that insertion order is not affected if a key is re-inserted into the map. But when I do the following puts public class LRUCache<K, V> extends LinkedHashMap<K, V> { private int size; public static void main(String[] args) { LRUCache<Integer, Integer> cache = LRUCache.newInstance(2); cache.put(1, 1); cache.put(2, 2); cache.put(1, 1); cache.put(3, 3); System.out.println(cache); } private LRUCache(int size) {

I'd like to work with a dict in python, but limit the number of key/value pairs to X. In other words, if the dict is currently storing X key/value pairs and I perform an insertion, I would like one of the existing pairs to be dropped. It would be nice if it was the least recently inserted/accesses key but that's not completely necessary. If this exists in the standard library please save me some time and point it out! Python 2.7 and 3.1 have OrderedDict and there are pure-Python implementations for earlier Pythons. from collections import OrderedDict class LimitedSizeDict(OrderedDict): def _

(First of all, my English is not very good, please) As we know, memcached provides lazy expiration, and "replaces" LRU data in its slabs, however I'm not very clear how it does this. For example, if a slab is full, but some data in this slab are expired, what will happen when data are added to the slab? Does memcached find some expired data and replace them with the added data, or does it replace the LRU data, or does it do something else? As far as I know, the lazy expiration is such that memcached is not actively removing expired data from each slab, but instead only removing expired entries

I am trying to implement LRU Cache using C++ . I would like to know what is the best design for implementing them. I know LRU should provide find(), add an element and remove an element. The remove should remove the LRU element. what is the best ADTs to implement this For ex: If I use a map with element as value and time counter as key I can search in O(logn) time, Inserting is O(n), deleting is O(logn). One major issue with LRU caches is that there is little "const" operations, most will change the underlying representation (if only because they bump the element accessed). This is of course

What is the difference between LRU and LFU cache implementations? I know that LRU can be implemented using LinkedHashMap . But how to implement LFU cache? Zorayr Let's consider a constant stream of cache requests with a cache capacity of 3, see below: A, B, C, A, A, A, A, A, A, A, A, A, A, A, B, C, D If we just consider a Least Recently Used (LRU) cache with a HashMap + doubly linked list implementation with O(1) eviction time and O(1) load time, we would have the following elements cached while processing the caching requests as mentioned above. [A] [A, B] [A, B, C] [B, C, A] <- a stream of