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Introducing the Socket Python SDK
The initial version of the Socket Python SDK is now on PyPI, enabling developers to more easily interact with the Socket REST API in Python projects.
.. image:: https://img.shields.io/pypi/v/cachetools :target: https://pypi.org/project/cachetools/ :alt: Latest PyPI version
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This module provides various memoizing collections and decorators,
including variants of the Python Standard Library's @lru_cache
_
function decorator.
.. code-block:: python
from cachetools import cached, LRUCache, TTLCache
@cached(cache={}) def fib(n): return n if n < 2 else fib(n - 1) + fib(n - 2)
@cached(cache=LRUCache(maxsize=32)) def get_pep(num): url = 'http://www.python.org/dev/peps/pep-%04d/' % num with urllib.request.urlopen(url) as s: return s.read()
@cached(cache=TTLCache(maxsize=1024, ttl=600)) def get_weather(place): return owm.weather_at_place(place).get_weather()
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
_.
This module provides multiple cache classes based on different cache algorithms, as well as decorators for easily memoizing function and method calls.
cachetools is available from PyPI_ and can be installed by running::
pip install cachetools
Typing stubs for this package are provided by typeshed_ and can be installed by running::
pip install types-cachetools
Documentation
_Issue tracker
_Source code
_Change log
_Copyright (c) 2014-2024 Thomas Kemmer.
Licensed under the MIT License
_.
.. _@lru_cache: https://docs.python.org/3/library/functools.html#functools.lru_cache .. _mutable: https://docs.python.org/dev/glossary.html#term-mutable .. _mapping: https://docs.python.org/dev/glossary.html#term-mapping .. _cache algorithm: https://en.wikipedia.org/wiki/Cache_algorithms
.. _PyPI: https://pypi.org/project/cachetools/ .. _typeshed: https://github.com/python/typeshed/ .. _Documentation: https://cachetools.readthedocs.io/ .. _Issue tracker: https://github.com/tkem/cachetools/issues/ .. _Source code: https://github.com/tkem/cachetools/ .. _Change log: https://github.com/tkem/cachetools/blob/master/CHANGELOG.rst .. _MIT License: https://raw.github.com/tkem/cachetools/master/LICENSE
.. _asyncache: https://pypi.org/project/asyncache/ .. _cacheing: https://github.com/breid48/cacheing .. _CacheToolsUtils: https://pypi.org/project/CacheToolsUtils/ .. _kids.cache: https://pypi.org/project/kids.cache/ .. _shelved-cache: https://pypi.org/project/shelved-cache/
FAQs
Extensible memoizing collections and decorators
We found that cachetools demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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