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‎virtual-env/bin/pyrsa-decrypt

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#!/cygdrive/d/Google/GAE/Python/market/virtual-env/bin/python
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# -*- coding: utf-8 -*-
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import re
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import sys
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from rsa.cli import decrypt
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if __name__ == '__main__':
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sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
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sys.exit(decrypt())

‎virtual-env/bin/pyrsa-encrypt

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#!/cygdrive/d/Google/GAE/Python/market/virtual-env/bin/python
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# -*- coding: utf-8 -*-
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import re
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import sys
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from rsa.cli import encrypt
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if __name__ == '__main__':
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sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
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sys.exit(encrypt())

‎virtual-env/bin/pyrsa-keygen

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#!/cygdrive/d/Google/GAE/Python/market/virtual-env/bin/python
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# -*- coding: utf-8 -*-
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import re
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import sys
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from rsa.cli import keygen
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if __name__ == '__main__':
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sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
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sys.exit(keygen())

‎virtual-env/bin/pyrsa-priv2pub

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#!/cygdrive/d/Google/GAE/Python/market/virtual-env/bin/python
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# -*- coding: utf-8 -*-
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import re
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import sys
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from rsa.util import private_to_public
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if __name__ == '__main__':
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sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
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sys.exit(private_to_public())

‎virtual-env/bin/pyrsa-sign

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#!/cygdrive/d/Google/GAE/Python/market/virtual-env/bin/python
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# -*- coding: utf-8 -*-
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import re
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import sys
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from rsa.cli import sign
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if __name__ == '__main__':
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sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
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sys.exit(sign())

‎virtual-env/bin/pyrsa-verify

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#!/cygdrive/d/Google/GAE/Python/market/virtual-env/bin/python
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# -*- coding: utf-8 -*-
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import re
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import sys
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from rsa.cli import verify
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if __name__ == '__main__':
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sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
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sys.exit(verify())

‎virtual-env/lib/python3.7/site-packages/cachetools-3.1.0.dist-info/DESCRIPTION.rst

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cachetools
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========================================================================
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This module provides various memoizing collections and decorators,
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including variants of the Python 3 Standard Library `@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`_. In
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general, a cache's size is the total size of its items, and an item's
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size is a property or function of its value, e.g. the result of
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``sys.getsizeof(value)``. For the trivial but common case that each
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item counts as ``1``, a cache's size is equal to the number of its
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items, or ``len(cache)``.
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Multiple cache classes based on different caching algorithms are
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implemented, and decorators for easily memoizing function and method
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calls are provided, too.
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For more information, please refer to the online documentation_.
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Installation
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------------------------------------------------------------------------
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Install cachetools using pip::
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pip install cachetools
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Project Resources
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------------------------------------------------------------------------
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.. image:: http://img.shields.io/pypi/v/cachetools.svg?style=flat
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:target: https://pypi.python.org/pypi/cachetools/
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:alt: Latest PyPI version
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.. image:: http://img.shields.io/travis/tkem/cachetools/master.svg?style=flat
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:target: https://travis-ci.org/tkem/cachetools/
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:alt: Travis CI build status
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.. image:: http://img.shields.io/coveralls/tkem/cachetools/master.svg?style=flat
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:target: https://coveralls.io/r/tkem/cachetools
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:alt: Test coverage
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.. image:: https://readthedocs.org/projects/cachetools/badge/?version=latest&style=flat
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:target: http://cachetools.readthedocs.io/en/latest/
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:alt: Documentation Status
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- `Issue Tracker`_
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- `Source Code`_
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- `Change Log`_
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License
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------------------------------------------------------------------------
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Copyright (c) 2014-2019 Thomas Kemmer.
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Licensed under the `MIT License`_.
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.. _@lru_cache: http://docs.python.org/3/library/functools.html#functools.lru_cache
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.. _mutable: http://docs.python.org/dev/glossary.html#term-mutable
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.. _mapping: http://docs.python.org/dev/glossary.html#term-mapping
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.. _cache algorithm: http://en.wikipedia.org/wiki/Cache_algorithms
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.. _Documentation: http://cachetools.readthedocs.io/en/latest/
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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/CHANGES.rst
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.. _MIT License: http://raw.github.com/tkem/cachetools/master/LICENSE
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‎virtual-env/lib/python3.7/site-packages/pip-19.0.3.dist-info/INSTALLER renamed to ‎virtual-env/lib/python3.7/site-packages/cachetools-3.1.0.dist-info/INSTALLER

File renamed without changes.

‎virtual-env/lib/python3.7/site-packages/cachetools-3.1.0.dist-info/METADATA

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Metadata-Version: 2.0
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Name: cachetools
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Version: 3.1.0
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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: [email protected]
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License: MIT
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Keywords: cache caching memoize memoizing memoization LRU LFU TTL
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Platform: UNKNOWN
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Classifier: Development Status :: 5 - Production/Stable
12+
Classifier: Environment :: Other Environment
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Classifier: Intended Audience :: Developers
14+
Classifier: License :: OSI Approved :: MIT License
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Classifier: Operating System :: OS Independent
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Classifier: Programming Language :: Python
17+
Classifier: Programming Language :: Python :: 2
18+
Classifier: Programming Language :: Python :: 2.7
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Classifier: Programming Language :: Python :: 3
20+
Classifier: Programming Language :: Python :: 3.4
21+
Classifier: Programming Language :: Python :: 3.5
22+
Classifier: Programming Language :: Python :: 3.6
23+
Classifier: Programming Language :: Python :: 3.7
24+
Classifier: Programming Language :: Python :: Implementation :: CPython
25+
Classifier: Programming Language :: Python :: Implementation :: PyPy
26+
Classifier: Topic :: Software Development :: Libraries :: Python Modules
27+
28+
cachetools
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========================================================================
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31+
This module provides various memoizing collections and decorators,
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including variants of the Python 3 Standard Library `@lru_cache`_
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function decorator.
34+
35+
.. 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
40+
@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`_. In
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general, a cache's size is the total size of its items, and an item's
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size is a property or function of its value, e.g. the result of
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``sys.getsizeof(value)``. For the trivial but common case that each
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item counts as ``1``, a cache's size is equal to the number of its
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items, or ``len(cache)``.
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Multiple cache classes based on different caching algorithms are
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implemented, and decorators for easily memoizing function and method
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calls are provided, too.
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For more information, please refer to the online documentation_.
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Installation
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------------------------------------------------------------------------
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Install cachetools using pip::
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pip install cachetools
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Project Resources
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------------------------------------------------------------------------
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.. image:: http://img.shields.io/pypi/v/cachetools.svg?style=flat
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:target: https://pypi.python.org/pypi/cachetools/
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:alt: Latest PyPI version
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.. image:: http://img.shields.io/travis/tkem/cachetools/master.svg?style=flat
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:target: https://travis-ci.org/tkem/cachetools/
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:alt: Travis CI build status
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.. image:: http://img.shields.io/coveralls/tkem/cachetools/master.svg?style=flat
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:target: https://coveralls.io/r/tkem/cachetools
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:alt: Test coverage
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.. image:: https://readthedocs.org/projects/cachetools/badge/?version=latest&style=flat
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:target: http://cachetools.readthedocs.io/en/latest/
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:alt: Documentation Status
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100+
- `Issue Tracker`_
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- `Source Code`_
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- `Change Log`_
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104+
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License
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------------------------------------------------------------------------
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Copyright (c) 2014-2019 Thomas Kemmer.
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Licensed under the `MIT License`_.
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.. _@lru_cache: http://docs.python.org/3/library/functools.html#functools.lru_cache
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.. _mutable: http://docs.python.org/dev/glossary.html#term-mutable
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.. _mapping: http://docs.python.org/dev/glossary.html#term-mapping
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.. _cache algorithm: http://en.wikipedia.org/wiki/Cache_algorithms
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.. _Documentation: http://cachetools.readthedocs.io/en/latest/
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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/CHANGES.rst
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.. _MIT License: http://raw.github.com/tkem/cachetools/master/LICENSE
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‎virtual-env/lib/python3.7/site-packages/cachetools-3.1.0.dist-info/RECORD

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cachetools-3.1.0.dist-info/DESCRIPTION.rst,sha256=xp_EY25BvA7Uky-oKsFahO0Z8Hi1Gf8Cw-0vlzo_nRQ,3427
2+
cachetools-3.1.0.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4
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cachetools-3.1.0.dist-info/METADATA,sha256=7NOOybXolChpvHqTEjneMZJLzh13B0Y96_xX3DDdUT4,4585
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cachetools-3.1.0.dist-info/RECORD,,
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cachetools-3.1.0.dist-info/WHEEL,sha256=kdsN-5OJAZIiHN-iO4Rhl82KyS0bDWf4uBwMbkNafr8,110
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cachetools-3.1.0.dist-info/metadata.json,sha256=4RS2n_rAzR8-Q-Ifxn3lnPECibZL0z5edCHLgviMreE,1245
7+
cachetools-3.1.0.dist-info/top_level.txt,sha256=ai2FH78TGwoBcCgVfoqbzk5IQCtnDukdSs4zKuVPvDs,11
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cachetools/__init__.py,sha256=BxMHSdtBSf2tRk1ss6N04_xlCpI9-THDupR477cyZtg,3453
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cachetools/__pycache__/__init__.cpython-37.pyc,,
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cachetools/__pycache__/abc.cpython-37.pyc,,
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cachetools/__pycache__/cache.cpython-37.pyc,,
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cachetools/__pycache__/func.cpython-37.pyc,,
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cachetools/__pycache__/keys.cpython-37.pyc,,
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cachetools/__pycache__/lfu.cpython-37.pyc,,
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cachetools/__pycache__/lru.cpython-37.pyc,,
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cachetools/__pycache__/rr.cpython-37.pyc,,
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cachetools/__pycache__/ttl.cpython-37.pyc,,
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cachetools/abc.py,sha256=jvdeK7B6dgGvZ8CAoH7gbFve8wAjFkF3XtyC0knxg3o,1189
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cachetools/cache.py,sha256=8_E_WOll4FszonLSKZc8JI8aDA_Nm2r3szEiv669uoQ,2312
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cachetools/func.py,sha256=L3jGuWGipdcMIZE8bskTbpPKx5FIYQ_lW2Vm_h-LtS8,3761
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cachetools/keys.py,sha256=f459jDZ5NP3lex4s9T7WKfBNnlfmQ9dr8c4VYoJ7hZk,1073
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cachetools/lfu.py,sha256=Jyfap_yoNxrTbTetestcdfPXcrDn8xB8-MVXIJg3CoI,1073
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cachetools/lru.py,sha256=whvmU7CLpJtrWu1l2queu1uxpzlW51gMYflSUuotm-c,1460
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cachetools/rr.py,sha256=MW2Xy0T8EVj2TYdvuejrVnWvbQeiiPKverU6pD2-Tys,982
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cachetools/ttl.py,sha256=RZttzrtB2dYUjDwKmvLI2wI2uWJcNP4hojgEO0rdHYs,6159

‎virtual-env/lib/python3.7/site-packages/cachetools-3.1.0.dist-info/WHEEL

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Wheel-Version: 1.0
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Generator: bdist_wheel (0.30.0)
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Root-Is-Purelib: true
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Tag: py2-none-any
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Tag: py3-none-any
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‎virtual-env/lib/python3.7/site-packages/cachetools-3.1.0.dist-info/metadata.json

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{"classifiers": ["Development Status :: 5 - Production/Stable", "Environment :: Other Environment", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: Implementation :: CPython", "Programming Language :: Python :: Implementation :: PyPy", "Topic :: Software Development :: Libraries :: Python Modules"], "extensions": {"python.details": {"contacts": [{"email": "[email protected]", "name": "Thomas Kemmer", "role": "author"}], "document_names": {"description": "DESCRIPTION.rst"}, "project_urls": {"Home": "https://github.com/tkem/cachetools"}}}, "generator": "bdist_wheel (0.30.0)", "keywords": ["cache", "caching", "memoize", "memoizing", "memoization", "LRU", "LFU", "TTL"], "license": "MIT", "metadata_version": "2.0", "name": "cachetools", "summary": "Extensible memoizing collections and decorators", "version": "3.1.0"}

‎virtual-env/lib/python3.7/site-packages/cachetools-3.1.0.dist-info/top_level.txt

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cachetools

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