Skip to main content

Python implementation of a thread-safe LRU cache.

Project description

pyfastlru v. 1.0

Python implementation of a thread-safe LRU cache.

Features: thread safety, statistics, familiar interface.

The MIT License (MIT). Copyright © 2025 Anatoly Petrov petrov.projects@gmail.com

Description

LRU cache is a data structure that combines fast item access by the key with invalidation of least recently used items in case of size limit exhaustion.

These traits make the LRU cache useful for memoizing some computations (requests, resources, etc.) without risking memory blowup.

Our implementation uses a doubly linked list for item usage tracking and a dict for the lookup table.

Overview

The cache provides a MutableMapping interface. Thus, you may use LruCache the same way you use dict.

Unlike the standard dict (which is unbounded), the cache size is limited by the maxsize value provided to the cache __init__ method (128 by default). If the item count exceeds the limit,LruCache automatically removes the least recently used item.

Synchronization is performed internally by the cache with a reentrant lock and doesn't require any actions from the end-user.

Manual synchronization with LruCache context protocol or acquire/release methods is needed only to implement the atomic operations.

Cache collects usage statistics (hits, misses, maxsize, currsize) which may be retrieved with the cache_info() method.

Testing

pyfastlru is tested with pytest framework.

License

pyfastlru is licensed under the MIT License, see LICENSE for more information.

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

pyfastlru-1.0.0.tar.gz (6.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyfastlru-1.0.0-py3-none-any.whl (7.2 kB view details)

Uploaded Python 3

File details

Details for the file pyfastlru-1.0.0.tar.gz.

File metadata

  • Download URL: pyfastlru-1.0.0.tar.gz
  • Upload date:
  • Size: 6.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.0

File hashes

Hashes for pyfastlru-1.0.0.tar.gz
Algorithm Hash digest
SHA256 be2b0839534aa89a78d4d87d89d293c52211b9cb8190bb829749fc22c2bf270d
MD5 306d1684fd4dc4a346b35fccc062d57c
BLAKE2b-256 0245d6516d3fe811d2de55b9dcc04819653d1e762302411af66b58955917c96e

See more details on using hashes here.

File details

Details for the file pyfastlru-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: pyfastlru-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 7.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.0

File hashes

Hashes for pyfastlru-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 0666982963433bf8308eef18d3f2a8727f52c985d546729dd29488075c86d421
MD5 4077050c6b36b53b1515f43cb458ad4a
BLAKE2b-256 0d6cc4ca7e6081f29e190c4f01c6ef4681f96dbf51dda435cb8c26e155c6dc3d

See more details on using hashes here.

Supported by

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