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Metadata-Version: 1.1
Name: cachetools
Version: 1.1.5
Summary: Extensible memoizing collections and decorators
Home-page: https://github.com/tkem/cachetools
Author: Thomas Kemmer
Author-email: tkemmer@computer.org
License: MIT
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/pypi/dm/cachetools.svg?style=flat
           :target: https://pypi.python.org/pypi/cachetools/
           :alt: Number of PyPI downloads
        
        .. 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, 2015 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 :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Topic :: Software Development :: Libraries :: Python Modules