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Name: cachetools
Version: 2.0.0
Summary: Extensible memoizing collections and decorators
Home-page: https://github.com/tkem/cachetools
Author: Thomas Kemmer
Author-email: tkemmer@computer.org
License: MIT
Description-Content-Type: UNKNOWN
Description: cachetools
========================================================================
This module provides various memoizing collections and decorators,
including variants of the Python 3 Standard Library `@lru_cache`_
function decorator.
.. code-block:: pycon
>>> from cachetools import LRUCache
>>> cache = LRUCache(maxsize=2)
>>> cache.update([('first', 1), ('second', 2)])
>>> cache
LRUCache([('second', 2), ('first', 1)], maxsize=2, currsize=2)
>>> cache['third'] = 3
>>> cache
LRUCache([('second', 2), ('third', 3)], maxsize=2, currsize=2)
>>> cache['second']
2
>>> cache['fourth'] = 4
>>> cache
LRUCache([('second', 2), ('fourth', 4)], maxsize=2, currsize=2)
For the purpose of this module, a *cache* is a mutable_ mapping_ of a
fixed maximum size. When the cache is full, i.e. by adding another
item the cache would exceed its maximum size, the cache must choose
which item(s) to discard based on a suitable `cache algorithm`_. In
general, a cache's size is the total size of its items, and an item's
size is a property or function of its value, e.g. the result of
``sys.getsizeof(value)``. For the trivial but common case that each
item counts as ``1``, a cache's size is equal to the number of its
items, or ``len(cache)``.
Multiple cache classes based on different caching algorithms are
implemented, and decorators for easily memoizing function and method
calls are provided, too.
Installation
------------------------------------------------------------------------
Install cachetools using pip::
pip install cachetools
Project Resources
------------------------------------------------------------------------
.. image:: http://img.shields.io/pypi/v/cachetools.svg?style=flat
:target: https://pypi.python.org/pypi/cachetools/
:alt: Latest PyPI version
.. image:: http://img.shields.io/travis/tkem/cachetools/master.svg?style=flat
:target: https://travis-ci.org/tkem/cachetools/
:alt: Travis CI build status
.. image:: http://img.shields.io/coveralls/tkem/cachetools/master.svg?style=flat
:target: https://coveralls.io/r/tkem/cachetools
:alt: Test coverage
- `Documentation`_
- `Issue Tracker`_
- `Source Code`_
- `Change Log`_
License
------------------------------------------------------------------------
Copyright (c) 2014-2016 Thomas Kemmer.
Licensed under the `MIT License`_.
.. _@lru_cache: http://docs.python.org/3/library/functools.html#functools.lru_cache
.. _mutable: http://docs.python.org/dev/glossary.html#term-mutable
.. _mapping: http://docs.python.org/dev/glossary.html#term-mapping
.. _cache algorithm: http://en.wikipedia.org/wiki/Cache_algorithms
.. _Documentation: http://pythonhosted.org/cachetools/
.. _Issue Tracker: https://github.com/tkem/cachetools/issues/
.. _Source Code: https://github.com/tkem/cachetools/
.. _Change Log: https://github.com/tkem/cachetools/blob/master/CHANGES.rst
.. _MIT License: http://raw.github.com/tkem/cachetools/master/LICENSE
Keywords: cache caching memoize memoizing memoization LRU LFU TTL
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Other Environment
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Topic :: Software Development :: Libraries :: Python Modules
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