chore: 添加虚拟环境到仓库
- 添加 backend_service/venv 虚拟环境 - 包含所有Python依赖包 - 注意:虚拟环境约393MB,包含12655个文件
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Metadata-Version: 2.4
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Name: cachetools
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Version: 6.2.2
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Summary: Extensible memoizing collections and decorators
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Home-page: https://github.com/tkem/cachetools/
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Author: Thomas Kemmer
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Author-email: tkemmer@computer.org
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License: MIT
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Classifier: Development Status :: 5 - Production/Stable
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Classifier: Environment :: Other Environment
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Classifier: Intended Audience :: Developers
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Classifier: License :: OSI Approved :: MIT License
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Classifier: Operating System :: OS Independent
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Classifier: Programming Language :: Python
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3.9
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Classifier: Programming Language :: Python :: 3.10
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Classifier: Programming Language :: Python :: 3.11
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Classifier: Programming Language :: Python :: 3.12
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Classifier: Programming Language :: Python :: 3.13
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Classifier: Programming Language :: Python :: 3.14
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Classifier: Topic :: Software Development :: Libraries :: Python Modules
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Requires-Python: >=3.9
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License-File: LICENSE
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Dynamic: license-file
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cachetools
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========================================================================
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.. image:: https://img.shields.io/pypi/v/cachetools
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:target: https://pypi.org/project/cachetools/
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:alt: Latest PyPI version
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.. image:: https://img.shields.io/github/actions/workflow/status/tkem/cachetools/ci.yml
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:target: https://github.com/tkem/cachetools/actions/workflows/ci.yml
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:alt: CI build status
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.. image:: https://img.shields.io/readthedocs/cachetools
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:target: https://cachetools.readthedocs.io/
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:alt: Documentation build status
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.. image:: https://img.shields.io/codecov/c/github/tkem/cachetools/master.svg
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:target: https://codecov.io/gh/tkem/cachetools
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:alt: Test coverage
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.. image:: https://img.shields.io/librariesio/sourcerank/pypi/cachetools
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:target: https://libraries.io/pypi/cachetools
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:alt: Libraries.io SourceRank
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.. image:: https://img.shields.io/github/license/tkem/cachetools
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:target: https://raw.github.com/tkem/cachetools/master/LICENSE
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:alt: License
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.. image:: https://img.shields.io/badge/code%20style-black-000000.svg
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:target: https://github.com/psf/black
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:alt: Code style: black
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This module provides various memoizing collections and decorators,
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including variants of the Python Standard Library's `@lru_cache`_
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function decorator.
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.. code-block:: python
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from cachetools import cached, LRUCache, TTLCache
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# speed up calculating Fibonacci numbers with dynamic programming
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@cached(cache={})
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def fib(n):
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return n if n < 2 else fib(n - 1) + fib(n - 2)
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# cache least recently used Python Enhancement Proposals
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@cached(cache=LRUCache(maxsize=32))
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def get_pep(num):
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url = 'http://www.python.org/dev/peps/pep-%04d/' % num
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with urllib.request.urlopen(url) as s:
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return s.read()
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# cache weather data for no longer than ten minutes
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@cached(cache=TTLCache(maxsize=1024, ttl=600))
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def get_weather(place):
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return owm.weather_at_place(place).get_weather()
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For the purpose of this module, a *cache* is a mutable_ mapping_ of a
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fixed maximum size. When the cache is full, i.e. by adding another
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item the cache would exceed its maximum size, the cache must choose
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which item(s) to discard based on a suitable `cache algorithm`_.
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This module provides multiple cache classes based on different cache
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algorithms, as well as decorators for easily memoizing function and
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method calls.
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Installation
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------------------------------------------------------------------------
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cachetools is available from PyPI_ and can be installed by running::
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pip install cachetools
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Typing stubs for this package are provided by typeshed_ and can be
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installed by running::
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pip install types-cachetools
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Project Resources
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------------------------------------------------------------------------
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- `Documentation`_
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- `Issue tracker`_
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- `Source code`_
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- `Change log`_
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Related Projects
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------------------------------------------------------------------------
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- asyncache_: Helpers to use cachetools_ with asyncio.
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- cachetools-async_: Helpers to use cachetools_ with asyncio.
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- cacheing_: Pure Python Cacheing Library.
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- CacheToolsUtils_: Stackable cache classes for sharing, encryption,
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statistics *and more* on top of cachetools_, redis_ and memcached_.
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- shelved-cache_: Persistent cache implementation for Python
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cachetools_.
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License
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------------------------------------------------------------------------
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Copyright (c) 2014-2025 Thomas Kemmer.
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Licensed under the `MIT License`_.
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.. _@lru_cache: https://docs.python.org/3/library/functools.html#functools.lru_cache
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.. _mutable: https://docs.python.org/dev/glossary.html#term-mutable
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.. _mapping: https://docs.python.org/dev/glossary.html#term-mapping
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.. _cache algorithm: https://en.wikipedia.org/wiki/Cache_algorithms
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.. _PyPI: https://pypi.org/project/cachetools/
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.. _typeshed: https://github.com/python/typeshed/
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.. _Documentation: https://cachetools.readthedocs.io/
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.. _Issue tracker: https://github.com/tkem/cachetools/issues/
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.. _Source code: https://github.com/tkem/cachetools/
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.. _Change log: https://github.com/tkem/cachetools/blob/master/CHANGELOG.rst
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.. _MIT License: https://raw.github.com/tkem/cachetools/master/LICENSE
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.. _asyncache: https://pypi.org/project/asyncache/
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.. _cachetools-async: https://pypi.org/project/cachetools-async/
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.. _cacheing: https://pypi.org/project/cacheing/
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.. _CacheToolsUtils: https://pypi.org/project/CacheToolsUtils/
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.. _shelved-cache: https://pypi.org/project/shelved-cache/
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.. _cachetools: https://pypi.org/project/cachetools/
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.. _redis: https://redis.io/
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.. _memcached: https://memcached.org/
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