Skip to main content

a simple implementation for the least recently used caching algorithm (LRU)

Project description

A simple python implementation for the least recently used caching algorithm.

Hello, world

A simple use for LRU:

from lru_py import LRU

lru_cache = LRU(max_size = 2)
lru_cache['hello'] = 'world'
lru_cache['world'] = 'hello'
lru_cache['hello'] = 'world'
print "The first item now is: " + lru_cache.top()
print "The value of the key 'world' now is: " + lru_cache['world']
print "The first item now after retrieving the key 'world' is: " +lru_cache.top()

How To:

Initializing an object:

lru_cache = LRU(max_size = 2)

Setting a value, regular assigningment with the square bracket operator [ ]:

lru_cache[‘hello’] = ‘world’

Retrieving a value, using square bracket operator [ ]:

lru_cache[‘hello’]

Deletin, using the del and using square bracket operators:

del lru_cache[‘hello’]

Retrieving the most recently used item:

lru_cache.top()

Installation

Automatic installation:

pip install lru_py

Manual installation: Download the latest source from GitHub.

tar xvzf lru_py-[VERSION].tar.gz
cd lru_py-[VERSION]
python setup.py build
sudo python setup.py install

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lru_py-0.2.tar.gz (2.4 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page