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      "description": "Distributed Task Queue.\n.. image:: http://docs.celeryproject.org/en/latest/_images/celery-banner-small.png\n\n|build-status| |coverage| |license| |wheel| |pyversion| |pyimp| |ocbackerbadge| |ocsponsorbadge|\n\n:Version: 4.4.7 (cliffs)\n:Web: http://celeryproject.org/\n:Download: https://pypi.org/project/celery/\n:Source: https://github.com/celery/celery/\n:Keywords: task, queue, job, async, rabbitmq, amqp, redis,\n  python, distributed, actors\n\nDonations\n=========\n\nThis project relies on your generous donations.\n\nIf you are using Celery to create a commercial product, please consider becoming our `backer`_ or our `sponsor`_ to ensure Celery's future.\n\n.. _`backer`: https://opencollective.com/celery#backer\n.. _`sponsor`: https://opencollective.com/celery#sponsor\n\nFor enterprise\n==============\n\nAvailable as part of the Tidelift Subscription.\n\nThe maintainers of ``celery`` and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the open source dependencies you use to build your applications. Save time, reduce risk, and improve code health, while paying the maintainers of the exact dependencies you use. `Learn more. <https://tidelift.com/subscription/pkg/pypi-celery?utm_source=pypi-celery&utm_medium=referral&utm_campaign=enterprise&utm_term=repo>`_\n\nWhat's a Task Queue?\n====================\n\nTask queues are used as a mechanism to distribute work across threads or\nmachines.\n\nA task queue's input is a unit of work, called a task, dedicated worker\nprocesses then constantly monitor the queue for new work to perform.\n\nCelery communicates via messages, usually using a broker\nto mediate between clients and workers. To initiate a task a client puts a\nmessage on the queue, the broker then delivers the message to a worker.\n\nA Celery system can consist of multiple workers and brokers, giving way\nto high availability and horizontal scaling.\n\nCelery is written in Python, but the protocol can be implemented in any\nlanguage. In addition to Python there's node-celery_ for Node.js,\na `PHP client`_, `gocelery`_ for golang, and rusty-celery_ for Rust.\n\nLanguage interoperability can also be achieved by using webhooks\nin such a way that the client enqueues an URL to be requested by a worker.\n\n.. _node-celery: https://github.com/mher/node-celery\n.. _`PHP client`: https://github.com/gjedeer/celery-php\n.. _`gocelery`: https://github.com/gocelery/gocelery\n.. _rusty-celery: https://github.com/rusty-celery/rusty-celery\n\nWhat do I need?\n===============\n\nCelery version 4.4.0 runs on,\n\n- Python (2.7, 3.5, 3.6, 3.7, 3.8)\n- PyPy2.7 (7.2)\n- PyPy3.5 (7.1)\n- PyPy3.6 (7.6)\n\n\n4.x.x is the last version to support Python 2.7,\nand from the next major version (Celery 5.x) Python 3.6 or newer is required.\n\nIf you're running an older version of Python, you need to be running\nan older version of Celery:\n\n- Python 2.6: Celery series 3.1 or earlier.\n- Python 2.5: Celery series 3.0 or earlier.\n- Python 2.4 was Celery series 2.2 or earlier.\n\nCelery is a project with minimal funding,\nso we don't support Microsoft Windows.\nPlease don't open any issues related to that platform.\n\n*Celery* is usually used with a message broker to send and receive messages.\nThe RabbitMQ, Redis transports are feature complete,\nbut there's also experimental support for a myriad of other solutions, including\nusing SQLite for local development.\n\n*Celery* can run on a single machine, on multiple machines, or even\nacross datacenters.\n\nGet Started\n===========\n\nIf this is the first time you're trying to use Celery, or you're\nnew to Celery 4.4 coming from previous versions then you should read our\ngetting started tutorials:\n\n- `First steps with Celery`_\n\n    Tutorial teaching you the bare minimum needed to get started with Celery.\n\n- `Next steps`_\n\n    A more complete overview, showing more features.\n\n.. _`First steps with Celery`:\n    http://docs.celeryproject.org/en/latest/getting-started/first-steps-with-celery.html\n\n.. _`Next steps`:\n    http://docs.celeryproject.org/en/latest/getting-started/next-steps.html\n\nCelery is...\n=============\n\n- **Simple**\n\n    Celery is easy to use and maintain, and does *not need configuration files*.\n\n    It has an active, friendly community you can talk to for support,\n    like at our `mailing-list`_, or the IRC channel.\n\n    Here's one of the simplest applications you can make::\n\n        from celery import Celery\n\n        app = Celery('hello', broker='amqp://guest@localhost//')\n\n        @app.task\n        def hello():\n            return 'hello world'\n\n- **Highly Available**\n\n    Workers and clients will automatically retry in the event\n    of connection loss or failure, and some brokers support\n    HA in way of *Primary/Primary* or *Primary/Replica* replication.\n\n- **Fast**\n\n    A single Celery process can process millions of tasks a minute,\n    with sub-millisecond round-trip latency (using RabbitMQ,\n    py-librabbitmq, and optimized settings).\n\n- **Flexible**\n\n    Almost every part of *Celery* can be extended or used on its own,\n    Custom pool implementations, serializers, compression schemes, logging,\n    schedulers, consumers, producers, broker transports, and much more.\n\nIt supports...\n================\n\n    - **Message Transports**\n\n        - RabbitMQ_, Redis_, Amazon SQS\n\n    - **Concurrency**\n\n        - Prefork, Eventlet_, gevent_, single threaded (``solo``)\n\n    - **Result Stores**\n\n        - AMQP, Redis\n        - memcached\n        - SQLAlchemy, Django ORM\n        - Apache Cassandra, IronCache, Elasticsearch\n\n    - **Serialization**\n\n        - *pickle*, *json*, *yaml*, *msgpack*.\n        - *zlib*, *bzip2* compression.\n        - Cryptographic message signing.\n\n.. _`Eventlet`: http://eventlet.net/\n.. _`gevent`: http://gevent.org/\n\n.. _RabbitMQ: https://rabbitmq.com\n.. _Redis: https://redis.io\n.. _SQLAlchemy: http://sqlalchemy.org\n\nFramework Integration\n=====================\n\nCelery is easy to integrate with web frameworks, some of which even have\nintegration packages:\n\n    +--------------------+------------------------+\n    | `Django`_          | not needed             |\n    +--------------------+------------------------+\n    | `Pyramid`_         | `pyramid_celery`_      |\n    +--------------------+------------------------+\n    | `Pylons`_          | `celery-pylons`_       |\n    +--------------------+------------------------+\n    | `Flask`_           | not needed             |\n    +--------------------+------------------------+\n    | `web2py`_          | `web2py-celery`_       |\n    +--------------------+------------------------+\n    | `Tornado`_         | `tornado-celery`_      |\n    +--------------------+------------------------+\n\nThe integration packages aren't strictly necessary, but they can make\ndevelopment easier, and sometimes they add important hooks like closing\ndatabase connections at ``fork``.\n\n.. _`Django`: https://djangoproject.com/\n.. _`Pylons`: http://pylonsproject.org/\n.. _`Flask`: http://flask.pocoo.org/\n.. _`web2py`: http://web2py.com/\n.. _`Bottle`: https://bottlepy.org/\n.. _`Pyramid`: http://docs.pylonsproject.org/en/latest/docs/pyramid.html\n.. _`pyramid_celery`: https://pypi.org/project/pyramid_celery/\n.. _`celery-pylons`: https://pypi.org/project/celery-pylons/\n.. _`web2py-celery`: https://code.google.com/p/web2py-celery/\n.. _`Tornado`: http://www.tornadoweb.org/\n.. _`tornado-celery`: https://github.com/mher/tornado-celery/\n\n.. _celery-documentation:\n\nDocumentation\n=============\n\nThe `latest documentation`_ is hosted at Read The Docs, containing user guides,\ntutorials, and an API reference.\n\n\u6700\u65b0\u7684\u4e2d\u6587\u6587\u6863\u6258\u7ba1\u5728 https://www.celerycn.io/ \u4e2d\uff0c\u5305\u542b\u7528\u6237\u6307\u5357\u3001\u6559\u7a0b\u3001API\u63a5\u53e3\u7b49\u3002\n\n.. _`latest documentation`: http://docs.celeryproject.org/en/latest/\n\n.. _celery-installation:\n\nInstallation\n============\n\nYou can install Celery either via the Python Package Index (PyPI)\nor from source.\n\nTo install using ``pip``:\n\n::\n\n\n    $ pip install -U Celery\n\n.. _bundles:\n\nBundles\n-------\n\nCelery also defines a group of bundles that can be used\nto install Celery and the dependencies for a given feature.\n\nYou can specify these in your requirements or on the ``pip``\ncommand-line by using brackets. Multiple bundles can be specified by\nseparating them by commas.\n\n::\n\n\n    $ pip install \"celery[librabbitmq]\"\n\n    $ pip install \"celery[librabbitmq,redis,auth,msgpack]\"\n\nThe following bundles are available:\n\nSerializers\n~~~~~~~~~~~\n\n:``celery[auth]``:\n    for using the ``auth`` security serializer.\n\n:``celery[msgpack]``:\n    for using the msgpack serializer.\n\n:``celery[yaml]``:\n    for using the yaml serializer.\n\nConcurrency\n~~~~~~~~~~~\n\n:``celery[eventlet]``:\n    for using the ``eventlet`` pool.\n\n:``celery[gevent]``:\n    for using the ``gevent`` pool.\n\nTransports and Backends\n~~~~~~~~~~~~~~~~~~~~~~~\n\n:``celery[librabbitmq]``:\n    for using the librabbitmq C library.\n\n:``celery[redis]``:\n    for using Redis as a message transport or as a result backend.\n\n:``celery[sqs]``:\n    for using Amazon SQS as a message transport.\n\n:``celery[tblib``]:\n    for using the ``task_remote_tracebacks`` feature.\n\n:``celery[memcache]``:\n    for using Memcached as a result backend (using ``pylibmc``)\n\n:``celery[pymemcache]``:\n    for using Memcached as a result backend (pure-Python implementation).\n\n:``celery[cassandra]``:\n    for using Apache Cassandra as a result backend with DataStax driver.\n\n:``celery[azureblockblob]``:\n    for using Azure Storage as a result backend (using ``azure-storage``)\n\n:``celery[s3]``:\n    for using S3 Storage as a result backend.\n\n:``celery[couchbase]``:\n    for using Couchbase as a result backend.\n\n:``celery[arangodb]``:\n    for using ArangoDB as a result backend.\n\n:``celery[elasticsearch]``:\n    for using Elasticsearch as a result backend.\n\n:``celery[riak]``:\n    for using Riak as a result backend.\n\n:``celery[cosmosdbsql]``:\n    for using Azure Cosmos DB as a result backend (using ``pydocumentdb``)\n\n:``celery[zookeeper]``:\n    for using Zookeeper as a message transport.\n\n:``celery[sqlalchemy]``:\n    for using SQLAlchemy as a result backend (*supported*).\n\n:``celery[pyro]``:\n    for using the Pyro4 message transport (*experimental*).\n\n:``celery[slmq]``:\n    for using the SoftLayer Message Queue transport (*experimental*).\n\n:``celery[consul]``:\n    for using the Consul.io Key/Value store as a message transport or result backend (*experimental*).\n\n:``celery[django]``:\n    specifies the lowest version possible for Django support.\n\n    You should probably not use this in your requirements, it's here\n    for informational purposes only.\n\n\n.. _celery-installing-from-source:\n\nDownloading and installing from source\n--------------------------------------\n\nDownload the latest version of Celery from PyPI:\n\nhttps://pypi.org/project/celery/\n\nYou can install it by doing the following,:\n\n::\n\n\n    $ tar xvfz celery-0.0.0.tar.gz\n    $ cd celery-0.0.0\n    $ python setup.py build\n    # python setup.py install\n\nThe last command must be executed as a privileged user if\nyou aren't currently using a virtualenv.\n\n.. _celery-installing-from-git:\n\nUsing the development version\n-----------------------------\n\nWith pip\n~~~~~~~~\n\nThe Celery development version also requires the development\nversions of ``kombu``, ``amqp``, ``billiard``, and ``vine``.\n\nYou can install the latest snapshot of these using the following\npip commands:\n\n::\n\n\n    $ pip install https://github.com/celery/celery/zipball/master#egg=celery\n    $ pip install https://github.com/celery/billiard/zipball/master#egg=billiard\n    $ pip install https://github.com/celery/py-amqp/zipball/master#egg=amqp\n    $ pip install https://github.com/celery/kombu/zipball/master#egg=kombu\n    $ pip install https://github.com/celery/vine/zipball/master#egg=vine\n\nWith git\n~~~~~~~~\n\nPlease see the Contributing section.\n\n.. _getting-help:\n\nGetting Help\n============\n\n.. _mailing-list:\n\nMailing list\n------------\n\nFor discussions about the usage, development, and future of Celery,\nplease join the `celery-users`_ mailing list.\n\n.. _`celery-users`: https://groups.google.com/group/celery-users/\n\n.. _irc-channel:\n\nIRC\n---\n\nCome chat with us on IRC. The **#celery** channel is located at the `Freenode`_\nnetwork.\n\n.. _`Freenode`: https://freenode.net\n\n.. _bug-tracker:\n\nBug tracker\n===========\n\nIf you have any suggestions, bug reports, or annoyances please report them\nto our issue tracker at https://github.com/celery/celery/issues/\n\n.. _wiki:\n\nWiki\n====\n\nhttps://github.com/celery/celery/wiki\n\nCredits\n=======\n\n.. _contributing-short:\n\nContributors\n------------\n\nThis project exists thanks to all the people who contribute. Development of\n`celery` happens at GitHub: https://github.com/celery/celery\n\nYou're highly encouraged to participate in the development\nof `celery`. If you don't like GitHub (for some reason) you're welcome\nto send regular patches.\n\nBe sure to also read the `Contributing to Celery`_ section in the\ndocumentation.\n\n.. _`Contributing to Celery`:\n    http://docs.celeryproject.org/en/master/contributing.html\n\n|oc-contributors|\n\n.. |oc-contributors| image:: https://opencollective.com/celery/contributors.svg?width=890&button=false\n    :target: https://github.com/celery/celery/graphs/contributors\n\nBackers\n-------\n\nThank you to all our backers! \ud83d\ude4f [`Become a backer`_]\n\n.. _`Become a backer`: https://opencollective.com/celery#backer\n\n|oc-backers|\n\n.. |oc-backers| image:: https://opencollective.com/celery/backers.svg?width=890\n    :target: https://opencollective.com/celery#backers\n\nSponsors\n--------\n\nSupport this project by becoming a sponsor. Your logo will show up here with a\nlink to your website. [`Become a sponsor`_]\n\n.. _`Become a sponsor`: https://opencollective.com/celery#sponsor\n\n|oc-sponsors|\n\n.. |oc-sponsors| image:: https://opencollective.com/celery/sponsor/0/avatar.svg\n    :target: https://opencollective.com/celery/sponsor/0/website\n\n.. _license:\n\nLicense\n=======\n\nThis software is licensed under the `New BSD License`. See the ``LICENSE``\nfile in the top distribution directory for the full license text.\n\n.. # vim: syntax=rst expandtab tabstop=4 shiftwidth=4 shiftround\n\n.. |build-status| image:: https://secure.travis-ci.org/celery/celery.png?branch=master\n    :alt: Build status\n    :target: https://travis-ci.org/celery/celery\n\n.. |coverage| image:: https://codecov.io/github/celery/celery/coverage.svg?branch=master\n    :target: https://codecov.io/github/celery/celery?branch=master\n\n.. |license| image:: https://img.shields.io/pypi/l/celery.svg\n    :alt: BSD License\n    :target: https://opensource.org/licenses/BSD-3-Clause\n\n.. |wheel| image:: https://img.shields.io/pypi/wheel/celery.svg\n    :alt: Celery can be installed via wheel\n    :target: https://pypi.org/project/celery/\n\n.. |pyversion| image:: https://img.shields.io/pypi/pyversions/celery.svg\n    :alt: Supported Python versions.\n    :target: https://pypi.org/project/celery/\n\n.. |pyimp| image:: https://img.shields.io/pypi/implementation/celery.svg\n    :alt: Support Python implementations.\n    :target: https://pypi.org/project/celery/\n\n.. |ocbackerbadge| image:: https://opencollective.com/celery/backers/badge.svg\n    :alt: Backers on Open Collective\n    :target: #backers\n\n.. |ocsponsorbadge| image:: https://opencollective.com/celery/sponsors/badge.svg\n    :alt: Sponsors on Open Collective\n    :target: #sponsors\n\n.. |downloads| image:: https://pepy.tech/badge/celery\n    :alt: Downloads\n    :target: https://pepy.tech/project/celery",
      "release_date": "2020-07-31T17:41:39",
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      "description": "Updated configparser from Python 3.7 for Python 2.6+.\n.. image:: https://img.shields.io/pypi/v/configparser.svg\n   :target: https://pypi.org/project/configparser\n\n.. image:: https://img.shields.io/pypi/pyversions/configparser.svg\n\n.. image:: https://img.shields.io/travis/jaraco/configparser/master.svg\n   :target: https://travis-ci.org/jaraco/configparser\n\n.. image:: https://img.shields.io/badge/code%20style-black-000000.svg\n   :target: https://github.com/ambv/black\n   :alt: Code style: Black\n\n.. .. image:: https://img.shields.io/appveyor/ci/jaraco/configparser/master.svg\n..    :target: https://ci.appveyor.com/project/jaraco/configparser/branch/master\n\n.. image:: https://readthedocs.org/projects/configparser/badge/?version=latest\n   :target: https://configparser.readthedocs.io/en/latest/?badge=latest\n\n.. image:: https://tidelift.com/badges/package/pypi/configparser\n   :target: https://tidelift.com/subscription/pkg/pypi-configparser?utm_source=pypi-configparser&utm_medium=readme\n\n\nThe ancient ``ConfigParser`` module available in the standard library 2.x has\nseen a major update in Python 3.2. This is a backport of those changes so that\nthey can be used directly in Python 2.6 - 3.5.\n\nTo use the ``configparser`` backport instead of the built-in version on both\nPython 2 and Python 3, simply import it explicitly as a backport::\n\n  from backports import configparser\n\nIf you'd like to use the backport on Python 2 and the built-in version on\nPython 3, use that invocation instead::\n\n  import configparser\n\nFor detailed documentation consult the vanilla version at\nhttp://docs.python.org/3/library/configparser.html.\n\nWhy you'll love ``configparser``\n--------------------------------\n\nWhereas almost completely compatible with its older brother, ``configparser``\nsports a bunch of interesting new features:\n\n* full mapping protocol access (`more info\n  <http://docs.python.org/3/library/configparser.html#mapping-protocol-access>`_)::\n\n    >>> parser = ConfigParser()\n    >>> parser.read_string(\"\"\"\n    [DEFAULT]\n    location = upper left\n    visible = yes\n    editable = no\n    color = blue\n\n    [main]\n    title = Main Menu\n    color = green\n\n    [options]\n    title = Options\n    \"\"\")\n    >>> parser['main']['color']\n    'green'\n    >>> parser['main']['editable']\n    'no'\n    >>> section = parser['options']\n    >>> section['title']\n    'Options'\n    >>> section['title'] = 'Options (editable: %(editable)s)'\n    >>> section['title']\n    'Options (editable: no)'\n\n* there's now one default ``ConfigParser`` class, which basically is the old\n  ``SafeConfigParser`` with a bunch of tweaks which make it more predictable for\n  users. Don't need interpolation? Simply use\n  ``ConfigParser(interpolation=None)``, no need to use a distinct\n  ``RawConfigParser`` anymore.\n\n* the parser is highly `customizable upon instantiation\n  <http://docs.python.org/3/library/configparser.html#customizing-parser-behaviour>`__\n  supporting things like changing option delimiters, comment characters, the\n  name of the DEFAULT section, the interpolation syntax, etc.\n\n* you can easily create your own interpolation syntax but there are two powerful\n  implementations built-in (`more info\n  <http://docs.python.org/3/library/configparser.html#interpolation-of-values>`__):\n\n  * the classic ``%(string-like)s`` syntax (called ``BasicInterpolation``)\n\n  * a new ``${buildout:like}`` syntax (called ``ExtendedInterpolation``)\n\n* fallback values may be specified in getters (`more info\n  <http://docs.python.org/3/library/configparser.html#fallback-values>`__)::\n\n    >>> config.get('closet', 'monster',\n    ...            fallback='No such things as monsters')\n    'No such things as monsters'\n\n* ``ConfigParser`` objects can now read data directly `from strings\n  <http://docs.python.org/3/library/configparser.html#configparser.ConfigParser.read_string>`__\n  and `from dictionaries\n  <http://docs.python.org/3/library/configparser.html#configparser.ConfigParser.read_dict>`__.\n  That means importing configuration from JSON or specifying default values for\n  the whole configuration (multiple sections) is now a single line of code. Same\n  goes for copying data from another ``ConfigParser`` instance, thanks to its\n  mapping protocol support.\n\n* many smaller tweaks, updates and fixes\n\nA few words about Unicode\n-------------------------\n\n``configparser`` comes from Python 3 and as such it works well with Unicode.\nThe library is generally cleaned up in terms of internal data storage and\nreading/writing files.  There are a couple of incompatibilities with the old\n``ConfigParser`` due to that. However, the work required to migrate is well\nworth it as it shows the issues that would likely come up during migration of\nyour project to Python 3.\n\nThe design assumes that Unicode strings are used whenever possible [1]_.  That\ngives you the certainty that what's stored in a configuration object is text.\nOnce your configuration is read, the rest of your application doesn't have to\ndeal with encoding issues. All you have is text [2]_. The only two phases when\nyou should explicitly state encoding is when you either read from an external\nsource (e.g. a file) or write back.\n\nVersioning\n----------\n\nThis project uses `semver <https://semver.org/spec/v2.0.0.html>`_ to\ncommunicate the impact of various releases while periodically syncing\nwith the upstream implementation in CPython.\n`The changelog <https://github.com/jaraco/configparser/blob/master/CHANGES.rst>`_\nserves as a reference indicating which versions incorporate\nwhich upstream functionality.\n\nPrior to the ``4.0.0`` release, `another scheme\n<https://github.com/jaraco/configparser/blob/3.8.1/README.rst#versioning>`_\nwas used to associate the CPython and backports releases.\n\nMaintenance\n-----------\n\nThis backport was originally authored by \u0141ukasz Langa, the current vanilla\n``configparser`` maintainer for CPython and is currently maintained by\nJason R. Coombs:\n\n* `configparser repository <https://github.com/jaraco/configparser>`_\n\n* `configparser issue tracker <https://github.com/jaraco/configparser/issues>`_\n\nSecurity Contact\n----------------\n\nTo report a security vulnerability, please use the\n`Tidelift security contact <https://tidelift.com/security>`_.\nTidelift will coordinate the fix and disclosure.\n\nConversion Process\n------------------\n\nThis section is technical and should bother you only if you are wondering how\nthis backport is produced. If the implementation details of this backport are\nnot important for you, feel free to ignore the following content.\n\n``configparser`` is converted using `python-future\n<http://python-future.org>`_. The project takes the following\nbranching approach:\n\n* the ``3.x`` branch holds unchanged files synchronized from the upstream\n  CPython repository. The synchronization is currently done by manually copying\n  the required files and stating from which CPython changeset they come from.\n\n* the ``master`` branch holds a version of the ``3.x`` code with some tweaks\n  that make it independent from libraries and constructions unavailable on 2.x.\n  Code on this branch still *must* work on the corresponding Python 3.x but\n  will also work on Python 2.6 and 2.7 (including PyPy).  You can check this\n  running the supplied unit tests with ``tox``.\n\nThe process works like this:\n\n1. In the ``3.x`` branch, run ``pip-run -- sync-upstream.py``, which\n   downloads the latest stable release of Python and copies the relevant\n   files from there into their new locations here and then commits those\n   changes with a nice reference to the relevant upstream commit hash.\n\n2. I check for new names in ``__all__`` and update imports in\n   ``configparser.py`` accordingly. I run the tests on Python 3. Commit.\n\n3. I merge the new commit to ``master``. I run ``tox``. Commit.\n\n4. If there are necessary changes, I do them now (on ``master``). Note that\n   the changes should be written in the syntax subset supported by Python\n   2.6.\n\n5. I run ``tox``. If it works, I update the docs and release the new version.\n   Otherwise, I go back to point 3. I might use ``pasteurize`` to suggest me\n   required changes but usually I do them manually to keep resulting code in\n   a nicer form.\n\n\nFootnotes\n---------\n\n.. [1] To somewhat ease migration, passing bytestrings is still supported but\n       they are converted to Unicode for internal storage anyway. This means\n       that for the vast majority of strings used in configuration files, it\n       won't matter if you pass them as bytestrings or Unicode. However, if you\n       pass a bytestring that cannot be converted to Unicode using the naive\n       ASCII codec, a ``UnicodeDecodeError`` will be raised. This is purposeful\n       and helps you manage proper encoding for all content you store in\n       memory, read from various sources and write back.\n\n.. [2] Life gets much easier when you understand that you basically manage\n       **text** in your application.  You don't care about bytes but about\n       letters.  In that regard the concept of content encoding is meaningless.\n       The only time when you deal with raw bytes is when you write the data to\n       a file.  Then you have to specify how your text should be encoded.  On\n       the other end, to get meaningful text from a file, the application\n       reading it has to know which encoding was used during its creation.  But\n       once the bytes are read and properly decoded, all you have is text.  This\n       is especially powerful when you start interacting with multiple data\n       sources.  Even if each of them uses a different encoding, inside your\n       application data is held in abstract text form.  You can program your\n       business logic without worrying about which data came from which source.\n       You can freely exchange the data you store between sources.  Only\n       reading/writing files requires encoding your text to bytes.",
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      "description": "Decorators for Humans\n=====================\n\nThe goal of the decorator module is to make it easy to define\nsignature-preserving function decorators and decorator factories.\nIt also includes an implementation of multiple dispatch and other niceties\n(please check the docs). It is released under a two-clauses\nBSD license, i.e. basically you can do whatever you want with it but I am not\nresponsible.\n\nInstallation\n-------------\n\nIf you are lazy, just perform\n\n ``$ pip install decorator``\n\nwhich will install just the module on your system.\n\nIf you prefer to install the full distribution from source, including\nthe documentation, clone the `GitHub repo`_ or download the tarball_, unpack it and run\n\n ``$ pip install .``\n\nin the main directory, possibly as superuser.\n\n.. _tarball: https://pypi.org/project/decorator/#files\n.. _GitHub repo: https://github.com/micheles/decorator\n\nTesting\n--------\n\nIf you have the source code installation you can run the tests with\n\n `$ python src/tests/test.py -v`\n\nor (if you have setuptools installed)\n\n `$ python setup.py test`\n\nNotice that you may run into trouble if in your system there\nis an older version of the decorator module; in such a case remove the\nold version. It is safe even to copy the module `decorator.py` over\nan existing one, since we kept backward-compatibility for a long time.\n\nRepository\n---------------\n\nThe project is hosted on GitHub. You can look at the source here:\n\n https://github.com/micheles/decorator\n\nDocumentation\n---------------\n\nThe documentation has been moved to https://github.com/micheles/decorator/blob/master/docs/documentation.md\n\nFrom there you can get a PDF version by simply using the print\nfunctionality of your browser.\n\nHere is the documentation for previous versions of the module:\n\nhttps://github.com/micheles/decorator/blob/4.3.2/docs/tests.documentation.rst\nhttps://github.com/micheles/decorator/blob/4.2.1/docs/tests.documentation.rst\nhttps://github.com/micheles/decorator/blob/4.1.2/docs/tests.documentation.rst\nhttps://github.com/micheles/decorator/blob/4.0.0/documentation.rst\nhttps://github.com/micheles/decorator/blob/3.4.2/documentation.rst\n\nFor the impatient\n-----------------\n\nHere is an example of how to define a family of decorators tracing slow\noperations:\n\n.. code-block:: python\n\n   from decorator import decorator\n\n   @decorator\n   def warn_slow(func, timelimit=60, *args, **kw):\n       t0 = time.time()\n       result = func(*args, **kw)\n       dt = time.time() - t0\n       if dt > timelimit:\n           logging.warn('%s took %d seconds', func.__name__, dt)\n       else:\n           logging.info('%s took %d seconds', func.__name__, dt)\n       return result\n\n   @warn_slow  # warn if it takes more than 1 minute\n   def preprocess_input_files(inputdir, tempdir):\n       ...\n\n   @warn_slow(timelimit=600)  # warn if it takes more than 10 minutes\n   def run_calculation(tempdir, outdir):\n       ...\n\nEnjoy!",
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      "description": "Rate limiting for flask applications\n.. |travis-ci| image:: https://img.shields.io/travis/alisaifee/flask-limiter/master.svg?style=flat-square\n    :target: https://travis-ci.org/#!/alisaifee/flask-limiter?branch=master\n.. |coveralls| image:: https://img.shields.io/coveralls/alisaifee/flask-limiter/master.svg?style=flat-square\n    :target: https://coveralls.io/r/alisaifee/flask-limiter?branch=master\n.. |pypi| image:: https://img.shields.io/pypi/v/Flask-Limiter.svg?style=flat-square\n    :target: https://pypi.python.org/pypi/Flask-Limiter\n.. |license| image:: https://img.shields.io/pypi/l/Flask-Limiter.svg?style=flat-square\n    :target: https://pypi.python.org/pypi/Flask-Limiter\n.. |hound| image:: https://img.shields.io/badge/Reviewed_by-Hound-8E64B0.svg?style=flat-square&longCache=true\n    :target: https://houndci.com\n\n*************\nFlask-Limiter\n*************\n|travis-ci| |coveralls| |pypi| |license| |hound|\n\nFlask-Limiter provides rate limiting features to flask routes.\nIt has support for a configurable backend for storage\nwith current implementations for in-memory, redis and memcache.\n\nQuickstart\n===========\n\nAdd the rate limiter to your flask app. The following example uses the default\nin memory implementation for storage.\n\n.. code-block:: python\n\n   from flask import Flask\n   from flask_limiter import Limiter\n   from flask_limiter.util import get_remote_address\n\n   app = Flask(__name__)\n   limiter = Limiter(\n       app,\n       key_func=get_remote_address,\n       default_limits=[\"2 per minute\", \"1 per second\"],\n   )\n\n   @app.route(\"/slow\")\n   @limiter.limit(\"1 per day\")\n   def slow():\n       return \"24\"\n\n   @app.route(\"/fast\")\n   def fast():\n       return \"42\"\n\n   @app.route(\"/ping\")\n   @limiter.exempt\n   def ping():\n       return 'PONG'\n\n   app.run()\n\n\n\nTest it out. The ``fast`` endpoint respects the default rate limit while the\n``slow`` endpoint uses the decorated one. ``ping`` has no rate limit associated\nwith it.\n\n.. code-block:: bash\n\n    $ curl localhost:5000/fast\n    42\n    $ curl localhost:5000/fast\n    42\n    $ curl localhost:5000/fast\n    <!DOCTYPE HTML PUBLIC \"-//W3C//DTD HTML 3.2 Final//EN\">\n    <title>429 Too Many Requests</title>\n    <h1>Too Many Requests</h1>\n    <p>2 per 1 minute</p>\n    $ curl localhost:5000/slow\n    24\n    $ curl localhost:5000/slow\n    <!DOCTYPE HTML PUBLIC \"-//W3C//DTD HTML 3.2 Final//EN\">\n    <title>429 Too Many Requests</title>\n    <h1>Too Many Requests</h1>\n    <p>1 per 1 day</p>\n    $ curl localhost:5000/ping\n    PONG\n    $ curl localhost:5000/ping\n    PONG\n    $ curl localhost:5000/ping\n    PONG\n    $ curl localhost:5000/ping\n    PONG\n\n\n\n\n`Read the docs <http://flask-limiter.readthedocs.org>`_\n\n\n\n\n\n.. :changelog:\n\nChangelog\n=========\n\n1.1.0 2019-10-02\n----------------\n* Provide Rate limit information with Exception (`Pull Request 202 <https://github.com/alisaifee/flask-limiter/pull/202>`_)\n* Respect existing Retry-After header values (`Pull Request 143 <https://github.com/alisaifee/flask-limiter/pull/143>`_)\n* Documentation improvements\n\n1.0.1 2017-12-08\n----------------\n* Bug fix\n\n  * Duplicate rate limits applied via application limits (`Issue 108 <https://github.com/alisiafee/flask-limiter/issues/108>`_)\n\n1.0.0 2017-11-06\n----------------\n* Improved documentation for handling ip addresses for applications behind proxiues (`Issue 41 <https://github.com/alisiafee/flask-limiter/issues/41>`_)\n* Execute rate limits for decorated routes in decorator instead of `before_request`  (`Issue 67 <https://github.com/alisiafee/flask-limiter/issues/67>`_)\n* Bug Fix\n\n  * Python 3.5 Errors (`Issue 82 <https://github.com/alisiafee/flask-limiter/issues/82>`_)\n  * RATELIMIT_KEY_PREFIX configuration constant not used (`Issue 88 <https://github.com/alisiafee/flask-limiter/issues/88>`_)\n  * Can't use dynamic limit in `default_limits` (`Issue 94 <https://github.com/alisiafee/flask-limiter/issues/94>`_)\n  * Retry-After header always zero when using key prefix (`Issue 99 <https://github.com/alisiafee/flask-limiter/issues/99>`_)\n\n0.9.5.1 2017-08-18\n------------------\n* Upgrade versioneer\n\n0.9.5 2017-07-26\n----------------\n* Add support for key prefixes\n\n0.9.4 2017-05-01\n----------------\n* Implemented application wide shared limits\n\n0.9.3 2016-03-14\n----------------\n* Allow `reset` of limiter storage if available\n\n0.9.2 2016-03-04\n----------------\n* Deprecation warning for default `key_func` `get_ipaddr`\n* Support for `Retry-After` header\n\n0.9.1 2015-11-21\n----------------\n* Re-expose `enabled` property on `Limiter` instance.\n\n0.9 2015-11-13\n--------------\n* In-memory fallback option for unresponsive storage\n* Rate limit exemption option per limit\n\n0.8.5 2015-10-05\n----------------\n* Bug fix for reported issues of missing (limits) dependency upon installation.\n\n0.8.4 2015-10-03\n----------------\n* Documentation tweaks.\n\n0.8.2 2015-09-17\n----------------\n* Remove outdated files from egg\n\n0.8.1 2015-08-06\n----------------\n* Fixed compatibility with latest version of **Flask-Restful**\n\n0.8 2015-06-07\n--------------\n* No functional change\n\n0.7.9 2015-04-02\n----------------\n* Bug fix for case sensitive `methods` whitelist for `limits` decorator\n\n0.7.8 2015-03-20\n----------------\n* Hotfix for dynamic limits with blueprints\n* Undocumented feature to pass storage options to underlying storage backend.\n\n0.7.6 2015-03-02\n----------------\n* `methods` keyword argument for `limits` decorator to specify specific http\n  methods to apply the rate limit to.\n\n0.7.5 2015-02-16\n----------------\n* `Custom error messages <http://flask-limiter.readthedocs.org/en/stable/#custom-error-messages>`_.\n\n0.7.4 2015-02-03\n----------------\n* Use Werkzeug TooManyRequests as the exception raised when available.\n\n0.7.3 2015-01-30\n----------------\n* Bug Fix\n\n  * Fix for version comparison when monkey patching Werkzeug\n        (`Issue 24 <https://github.com/alisaifee/flask-limiter/issues/24>`_)\n\n0.7.1 2015-01-09\n----------------\n* Refactor core storage & ratelimiting strategy out into the `limits <http://github.com/alisaifee/limits>`_ package.\n* Remove duplicate hits when stacked rate limits are in use and a rate limit is hit.\n\n0.7 2015-01-09\n--------------\n* Refactoring of RedisStorage for extensibility (`Issue 18 <https://github.com/alisaifee/flask-limiter/issues/18>`_)\n* Bug fix: Correct default setting for enabling rate limit headers. (`Issue 22 <https://github.com/alisaifee/flask-limiter/issues/22>`_)\n\n0.6.6 2014-10-21\n----------------\n* Bug fix\n\n  * Fix for responses slower than rate limiting window.\n    (`Issue 17 <https://github.com/alisaifee/flask-limiter/issues/17>`_.)\n\n0.6.5 2014-10-01\n----------------\n* Bug fix: in memory storage thread safety\n\n0.6.4 2014-08-31\n----------------\n* Support for manually triggering rate limit check\n\n0.6.3 2014-08-26\n----------------\n* Header name overrides\n\n0.6.2 2014-07-13\n----------------\n* `Rate limiting for blueprints\n  <http://flask-limiter.readthedocs.org/en/latest/#rate-limiting-all-routes-in-a-flask-blueprint>`_\n\n0.6.1 2014-07-11\n----------------\n* per http method rate limit separation (`Recipe\n  <http://flask-limiter.readthedocs.org/en/latest/index.html#using-flask-pluggable-views>`_)\n* documentation improvements\n\n0.6 2014-06-24\n--------------\n* `Shared limits between routes\n  <http://flask-limiter.readthedocs.org/en/latest/index.html#ratelimit-decorator-shared-limit>`_\n\n0.5 2014-06-13\n--------------\n* `Request Filters\n  <http://flask-limiter.readthedocs.org/en/latest/index.html#ratelimit-decorator-request-filter>`_\n\n0.4.4 2014-06-13\n----------------\n* Bug fix\n\n  * Werkzeug < 0.9 Compatibility\n    (`Issue 6 <https://github.com/alisaifee/flask-limiter/issues/6>`_.)\n\n0.4.3 2014-06-12\n----------------\n* Hotfix : use HTTPException instead of abort to play well with other\n  extensions.\n\n0.4.2 2014-06-12\n----------------\n* Allow configuration overrides via extension constructor\n\n0.4.1 2014-06-04\n----------------\n* Improved implementation of moving-window X-RateLimit-Reset value.\n\n0.4 2014-05-28\n--------------\n* `Rate limiting headers\n  <http://flask-limiter.readthedocs.org/en/latest/#rate-limiting-headers>`_\n\n0.3.2 2014-05-26\n----------------\n* Bug fix\n\n  * Memory leak when using ``Limiter.storage.MemoryStorage``\n    (`Issue 4 <https://github.com/alisaifee/flask-limiter/issues/4>`_.)\n* Improved test coverage\n\n0.3.1 2014-02-20\n----------------\n* Strict version requirement on six\n* documentation tweaks\n\n0.3.0 2014-02-19\n----------------\n* improved logging support for multiple handlers\n* allow callables to be passed to ``Limiter.limit`` decorator to dynamically\n  load rate limit strings.\n* add a global kill switch in flask config for all rate limits.\n* Bug fixes\n\n  * default key function for rate limit domain wasn't accounting for\n    X-Forwarded-For header.\n\n\n\n0.2.2 2014-02-18\n----------------\n* add new decorator to exempt routes from limiting.\n* Bug fixes\n\n  * versioneer.py wasn't included in manifest.\n  * configuration string for strategy was out of sync with docs.\n\n0.2.1 2014-02-15\n----------------\n* python 2.6 support via counter backport\n* source docs.\n\n0.2 2014-02-15\n--------------\n* Implemented configurable strategies for rate limiting.\n* Bug fixes\n\n  * better locking for in-memory storage\n  * multi threading support for memcached storage\n\n\n0.1.1 2014-02-14\n----------------\n* Bug fixes\n\n  * fix initializing the extension without an app\n  * don't rate limit static files\n\n\n0.1.0 2014-02-13\n----------------\n* first release.",
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      "description": "HTTP security headers for Flask.\nTalisman: HTTP security headers for Flask\n=========================================\n\n|PyPI Version|\n\nTalisman is a small Flask extension that handles setting HTTP headers\nthat can help protect against a few common web application security\nissues.\n\nThe default configuration:\n\n-  Forces all connects to ``https``, unless running with debug enabled.\n-  Enables `HTTP Strict Transport\n   Security <https://developer.mozilla.org/en-US/docs/Web/Security/HTTP_strict_transport_security>`_.\n-  Sets Flask's session cookie to ``secure``, so it will never be set if\n   your application is somehow accessed via a non-secure connection.\n-  Sets Flask's session cookie to ``httponly``, preventing JavaScript\n   from being able to access its content. CSRF via Ajax uses a separate\n   cookie and should be unaffected.\n-  Sets Flask's session cookie to ``Lax``, preventing the cookie to be leaked\n   in CSRF-prone request methods.\n-  Sets\n   `X-Frame-Options <https://developer.mozilla.org/en-US/docs/Web/HTTP/X-Frame-Options>`_\n   to ``SAMEORIGIN`` to avoid\n   `clickjacking <https://en.wikipedia.org/wiki/Clickjacking>`_.\n-  Sets `X-XSS-Protection\n   <https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/X-XSS-Protection>`_\n   to enable a cross site scripting filter for IE and Safari (note Chrome has\n   removed this and Firefox never supported it).\n-  Sets `X-Content-Type-Options\n   <https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/X-Content-Type-Options>`_\n   to prevent content type sniffing.\n-  Sets a strict `Content Security\n   Policy <https://developer.mozilla.org/en-US/docs/Web/Security/CSP/Introducing_Content_Security_Policy>`__\n   of ``default-src: 'self'``. This is intended to almost completely\n   prevent Cross Site Scripting (XSS) attacks. This is probably the only\n   setting that you should reasonably change. See the\n   `Content Security Policy`_ section.\n-  Sets a strict `Referrer-Policy <https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Referrer-Policy>`_\n   of ``strict-origin-when-cross-origin`` that governs which referrer information should be included with\n   requests made.\n-  Disables interest-cohort by default in the `Permissions-Policy <https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Feature-Policy>`_\n   like `Drupal <https://www.drupal.org/project/drupal/issues/3209628>`_ to enhance privacy protection.\n\n\nIn addition to Talisman, you **should always use a cross-site request\nforgery (CSRF) library**. It's highly recommended to use\n`Flask-SeaSurf <https://flask-seasurf.readthedocs.org/en/latest/>`_,\nwhich is based on Django's excellent library.\n\nInstallation & Basic Usage\n--------------------------\n\nInstall via `pip <https://pypi.python.org/pypi/pip>`_:\n\n::\n\n    pip install flask-talisman\n\nAfter installing, wrap your Flask app with a ``Talisman``:\n\n.. code:: python\n\n    from flask import Flask\n    from flask_talisman import Talisman\n\n    app = Flask(__name__)\n    Talisman(app)\n\n\nThere is also a full `Example App <https://github.com/wntrblm/flask-talisman/blob/master/example_app>`_.\n\nOptions\n-------\n\n-  ``force_https``, default ``True``, forces all non-debug connects to\n   ``https`` (`about HTTPS <https://developer.mozilla.org/en-US/docs/Glossary/https>`_).\n-  ``force_https_permanent``, default ``False``, uses ``301`` instead of\n   ``302`` for ``https`` redirects.\n\n-  ``frame_options``, default ``SAMEORIGIN``, can be ``SAMEORIGIN``,\n   ``DENY``, or ``ALLOWFROM`` (`about Frame Options <https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/X-Frame-Options>`_).\n-  ``frame_options_allow_from``, default ``None``, a string indicating\n   the domains that are allowed to embed the site via iframe.\n\n-  ``strict_transport_security``, default ``True``, whether to send HSTS\n   headers (`about HSTS <https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Strict-Transport-Security>`_).\n-  ``strict_transport_security_preload``, default ``False``, enables HSTS\n   preloading. If you register your application with\n   `Google's HSTS preload list <https://hstspreload.appspot.com/>`_,\n   Firefox and Chrome will never load your site over a non-secure\n   connection.\n-  ``strict_transport_security_max_age``, default ``ONE_YEAR_IN_SECS``,\n   length of time the browser will respect the HSTS header.\n-  ``strict_transport_security_include_subdomains``, default ``True``,\n   whether subdomains should also use HSTS.\n\n-  ``content_security_policy``, default ``default-src: 'self'``, see the\n   `Content Security Policy`_ section (`about Content Security Policy <https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Content-Security-Policy>`_).\n-  ``content_security_policy_nonce_in``, default ``[]``. Adds a per-request nonce\n   value to the flask request object and also to the specified CSP header section.\n   I.e. ``['script-src', 'style-src']``\n-  ``content_security_policy_report_only``, default ``False``, whether to set\n   the CSP header as \"report-only\" (as `Content-Security-Policy-Report-Only`)\n   to ease deployment by disabling the policy enforcement by the browser,\n   requires passing a value with the ``content_security_policy_report_uri``\n   parameter\n-  ``content_security_policy_report_uri``, default ``None``, a string\n   indicating the report URI used for `CSP violation reports\n   <https://developer.mozilla.org/en-US/docs/Web/Security/CSP/Using_CSP_violation_reports>`_\n\n-  ``referrer_policy``, default ``strict-origin-when-cross-origin``, a string\n   that sets the Referrer Policy header to send a full URL when performing a same-origin\n   request, only send the origin of the document to an equally secure destination\n   (HTTPS->HTTPS), and send no header to a less secure destination (HTTPS->HTTP) (`about Referrer Policy <https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Referrer-Policy>`_).\n\n-  ``feature_policy``, default ``{}``, see the `Feature Policy`_ section (`about Feature Policy <https://developer.mozilla.org/en-US/docs/Web/HTTP/Feature_Policy>`_).\n\n-  ``permissions_policy``, default ``{'interest-cohort': '()'}``, see the `Permissions Policy`_ section (`about Permissions Policy <https://developer.mozilla.org/en-US/docs/Web/HTTP/Feature_Policy>`_).\n-  ``document_policy``, default ``{}``, see the `Document Policy`_ section (`about Document Policy <https://wicg.github.io/document-policy/>`_).\n\n-  ``session_cookie_secure``, default ``True``, set the session cookie\n   to ``secure``, preventing it from being sent over plain ``http`` (`about cookies (https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Set-Cookie)_`).\n-  ``session_cookie_http_only``, default ``True``, set the session\n   cookie to ``httponly``, preventing it from being read by JavaScript.\n-  ``session_cookie_samesite``, default ``Lax``, set this to ``Strict`` to prevent the cookie from being sent by the browser to the target site in all cross-site browsing context, even when following a regular link.\n\n\n-  ``force_file_save``, default ``False``, whether to set the\n   `X-Download-Options <https://docs.microsoft.com/en-us/previous-versions/windows/internet-explorer/ie-developer/compatibility/jj542450(v=vs.85)?redirectedfrom=MSDN>`_\n   header to ``noopen`` to prevent IE >= 8 to from opening file downloads\n   directly and only save them instead.\n\n-  ``x_content_type_options``, default ``True``, Protects against MIME sniffing vulnerabilities (`about Content Type Options <https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/X-Content-Type-Options>`_).\n-  ``x_xss_protection``, default ``True``, Protects against cross-site scripting (XSS) attacks (`about XSS Protection <https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/X-XSS-Protection>`_).\n\nFor a full list of (security) headers, check out: https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers.\n\nPer-view options\n~~~~~~~~~~~~~~~~\n\nSometimes you want to change the policy for a specific view. The\n``force_https``, ``frame_options``, ``frame_options_allow_from``,\n`content_security_policy``, ``feature_policy``, ``permissions_policy``\nand ``document_policy`` options can be changed on a per-view basis.\n\n.. code:: python\n\n    from flask import Flask\n    from flask_talisman import Talisman, ALLOW_FROM\n\n    app = Flask(__name__)\n    talisman = Talisman(app)\n\n    @app.route('/normal')\n    def normal():\n        return 'Normal'\n\n    @app.route('/embeddable')\n    @talisman(frame_options=ALLOW_FROM, frame_options_allow_from='*')\n    def embeddable():\n        return 'Embeddable'\n\nContent Security Policy\n-----------------------\n\nThe default content security policy is extremely strict and will\nprevent loading any resources that are not in the same domain as the\napplication. Most web applications will need to change this policy.\n\nA slightly more permissive policy is available at\n``flask_talisman.GOOGLE_CSP_POLICY``, which allows loading Google-hosted JS\nlibraries, fonts, and embeding media from YouTube and Maps.\n\nYou can and should create your own policy to suit your site's needs.\nHere's a few examples adapted from\n`MDN <https://developer.mozilla.org/en-US/docs/Web/Security/CSP/Using_Content_Security_Policy>`_:\n\nExample 1\n~~~~~~~~~\n\nThis is the default policy. A web site administrator wants all content\nto come from the site's own origin (this excludes subdomains.)\n\n.. code:: python\n\n    csp = {\n        'default-src': '\\'self\\''\n    }\n    talisman = Talisman(app, content_security_policy=csp)\n\nExample 2\n~~~~~~~~~\n\nA web site administrator wants to allow content from a trusted domain\nand all its subdomains (it doesn't have to be the same domain that the\nCSP is set on.)\n\n.. code:: python\n\n    csp = {\n        'default-src': [\n            '\\'self\\'',\n            '*.trusted.com'\n        ]\n    }\n\nExample 3\n~~~~~~~~~\n\nA web site administrator wants to allow users of a web application to\ninclude images from any origin in their own content, but to restrict\naudio or video media to trusted providers, and all scripts only to a\nspecific server that hosts trusted code.\n\n.. code:: python\n\n    csp = {\n        'default-src': '\\'self\\'',\n        'img-src': '*',\n        'media-src': [\n            'media1.com',\n            'media2.com',\n        ],\n        'script-src': 'userscripts.example.com'\n    }\n\nIn this example content is only permitted from the document's origin\nwith the following exceptions:\n\n-  Images may loaded from anywhere (note the ``*`` wildcard).\n-  Media is only allowed from media1.com and media2.com (and not from\n   subdomains of those sites).\n-  Executable script is only allowed from userscripts.example.com.\n\nExample 4\n~~~~~~~~~\n\nA web site administrator for an online banking site wants to ensure that\nall its content is loaded using SSL, in order to prevent attackers from\neavesdropping on requests.\n\n.. code:: python\n\n    csp = {\n        'default-src': 'https://onlinebanking.jumbobank.com'\n    }\n\nThe server only permits access to documents being loaded specifically\nover HTTPS through the single origin onlinebanking.jumbobank.com.\n\nExample 5\n~~~~~~~~~\n\nA web site administrator of a web mail site wants to allow HTML in\nemail, as well as images loaded from anywhere, but not JavaScript or\nother potentially dangerous content.\n\n.. code:: python\n\n    csp = {\n        'default-src': [\n            '\\'self\\'',\n            '*.mailsite.com',\n        ],\n        'img-src': '*'\n    }\n\nNote that this example doesn't specify a ``script-src``; with the\nexample CSP, this site uses the setting specified by the ``default-src``\ndirective, which means that scripts can be loaded only from the\noriginating server.\n\nExample 6\n~~~~~~~~~\n\nA web site administrator wants to allow embedded scripts (which might\nbe generated dynamicially).\n\n.. code:: python\n\n    csp = {\n        'default-src': '\\'self\\'',\n        'script-src': '\\'self\\'',\n    }\n    talisman = Talisman(\n        app,\n        content_security_policy=csp,\n        content_security_policy_nonce_in=['script-src']\n    )\n\nThe nonce needs to be added to the script tag in the template:\n\n.. code:: html\n\n    <script nonce=\"{{ csp_nonce() }}\">\n        //...\n    </script>\n\nNote that the CSP directive (`script-src` in the example) to which the `nonce-...`\nsource should be added needs to be defined explicitly.\n\nExample 7\n~~~~~~~~~\n\nA web site adminstrator wants to override the CSP directives via an\nenvironment variable which doesn't support specifying the policy as\na Python dictionary, e.g.:\n\n.. code:: bash\n\n    export CSP_DIRECTIVES=\"default-src 'self'; image-src *\"\n    python app.py\n\nThen in the app code you can read the CSP directives from the environment:\n\n.. code:: python\n\n    import os\n    from flask_talisman import Talisman, DEFAULT_CSP_POLICY\n\n    talisman = Talisman(\n        app,\n        content_security_policy=os.environ.get(\"CSP_DIRECTIVES\", DEFAULT_CSP_POLICY),\n    )\n\nAs you can see above the policy can be defined simply just like the official\nspecification requires the HTTP header to be set: As a semicolon separated\nlist of individual CSP directives.\n\nFeature Policy\n--------------\n\n**Note:** Feature Policy has largely been `renamed Permissions Policy <https://github.com/w3c/webappsec-feature-policy/issues/359>`_\nin the latest draft and some features are likely to move to Document Policy.\nAt this writing, most browsers support the ``Feature-Policy`` HTTP Header name.\nSee the `Permissions Policy`_ and `Document Policy`_ sections below should you wish\nto set these.\n\nAlso note that the Feature Policy specification did not progress beyond the `draft https://wicg.github.io/feature-policy/`\nstage before being renamed, but is `supported in some form in most browsers\n<https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Feature-Policy#Browser_compatibility>`_.\n\nThe default feature policy is empty, as this is the default expected behaviour.\n\nGeolocation Example\n~~~~~~~~~~~~~~~~~~~\n\nDisable access to Geolocation interface.\n\n.. code:: python\n\n    feature_policy = {\n        'geolocation': '\\'none\\''\n    }\n    talisman = Talisman(app, feature_policy=feature_policy)\n\nPermissions Policy\n------------------\n\nFeature Policy has been split into Permissions Policy and Document Policy but\nat this writing `browser support of Permissions Policy is very limited <https://caniuse.com/permissions-policy>`_,\nand it is recommended to still set the ``Feature-Policy`` HTTP Header.\nPermission Policy support is included in Talisman for when this becomes more\nwidely supported.\n\nNote that the `Permission Policy is still an Working Draft <https://www.w3.org/TR/permissions-policy/>`_.\n\nWhen the same feature or permission is set in both Feature Policy and Permission Policy,\nthe Permission Policy setting will take precedence in browsers that support both.\n\nIt should be noted that the syntax differs between Feature Policy and Permission Policy\nas can be seen from the ``geolocation`` examples provided.\n\nThe default Permissions Policy is ``interest-cohort=()``, which opts sites out of\n`Federated Learning of Cohorts <https://wicg.github.io/floc/>`_ an interest-based advertising initiative.\n\nPermission Policy can be set either using a dictionary, or using a string.\n\nGeolocation and Microphone Example\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nDisable access to Geolocation interface and Microphone using dictionary syntax\n\n.. code:: python\n\n    permission_policy = {\n        'geolocation': '()',\n        'microphone': '()'\n    }\n    talisman = Talisman(app, permission_policy=permission_policy)\n\nDisable access to Geolocation interface and Microphone using string syntax\n\n.. code:: python\n\n    permission_policy = 'geolocation=(), microphone=()'\n    talisman = Talisman(app, permission_policy=permission_policy)\n\nDocument Policy\n---------------\n\nFeature Policy has been split into Permissions Policy and Document Policy but\nat this writing `browser support of Document Policy is very limited <https://caniuse.com/document-policy>`_,\nand it is recommended to still set the ``Feature-Policy`` HTTP Header.\nDocument Policy support is included in Talisman for when this becomes more\nwidely supported.\n\nNote that the `Document Policy is still an Unofficial Draft <https://wicg.github.io/document-policy/>`_.\n\nThe default Document Policy is empty, as this is the default expected behaviour.\n\nDocument Policy can be set either using a dictionary, or using a string.\n\nOversized-Images Example\n~~~~~~~~~~~~~~~~~~~~~~~~\n\nForbid oversized-images using dictionary syntax:\n\n.. code:: python\n\n    document_policy = {\n        'oversized-images': '?0'\n    }\n    talisman = Talisman(app, document_policy=document_policy)\n\nForbid oversized-images using string syntax:\n\n.. code:: python\n\n    document_policy = 'oversized-images=?0'\n    talisman = Talisman(app, document_policy=document_policy)\n\nDisclaimer\n----------\n\nThis code originated at Google, but is not an official Google product,\nexperimental or otherwise. It was forked on June 6th, 2021 from the\nunmaintained GoogleCloudPlatform/flask-talisman.\n\nThere is no silver bullet for web application security. Talisman can\nhelp, but security is more than just setting a few headers. Any\npublic-facing web application should have a comprehensive approach to\nsecurity.\n\n\nContributing changes\n--------------------\n\n-  See `CONTRIBUTING.md`_\n\nLicensing\n---------\n\n- Apache 2.0 - See `LICENSE`_\n\n.. _LICENSE: https://github.com/wntrblm/flask-talisman/blob/master/LICENSE\n.. _CONTRIBUTING.md: https://github.com/wntrblm/flask-talisman/blob/master/CONTRIBUTING.md\n.. |PyPI Version| image:: https://img.shields.io/pypi/v/flask-talisman.svg\n   :target: https://pypi.python.org/pypi/flask-talisman",
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      "description": "A simple framework for building complex web applications.\nFlask\n=====\n\nFlask is a lightweight `WSGI`_ web application framework. It is designed\nto make getting started quick and easy, with the ability to scale up to\ncomplex applications. It began as a simple wrapper around `Werkzeug`_\nand `Jinja`_ and has become one of the most popular Python web\napplication frameworks.\n\nFlask offers suggestions, but doesn't enforce any dependencies or\nproject layout. It is up to the developer to choose the tools and\nlibraries they want to use. There are many extensions provided by the\ncommunity that make adding new functionality easy.\n\n\nInstalling\n----------\n\nInstall and update using `pip`_:\n\n.. code-block:: text\n\n    pip install -U Flask\n\n\nA Simple Example\n----------------\n\n.. code-block:: python\n\n    from flask import Flask\n\n    app = Flask(__name__)\n\n    @app.route(\"/\")\n    def hello():\n        return \"Hello, World!\"\n\n.. code-block:: text\n\n    $ env FLASK_APP=hello.py flask run\n     * Serving Flask app \"hello\"\n     * Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)\n\n\nContributing\n------------\n\nFor guidance on setting up a development environment and how to make a\ncontribution to Flask, see the `contributing guidelines`_.\n\n.. _contributing guidelines: https://github.com/pallets/flask/blob/master/CONTRIBUTING.rst\n\n\nDonate\n------\n\nThe Pallets organization develops and supports Flask and the libraries\nit uses. In order to grow the community of contributors and users, and\nallow the maintainers to devote more time to the projects, `please\ndonate today`_.\n\n.. _please donate today: https://psfmember.org/civicrm/contribute/transact?reset=1&id=20\n\n\nLinks\n-----\n\n* Website: https://palletsprojects.com/p/flask/\n* Documentation: https://flask.palletsprojects.com/\n* Releases: https://pypi.org/project/Flask/\n* Code: https://github.com/pallets/flask\n* Issue tracker: https://github.com/pallets/flask/issues\n* Test status: https://dev.azure.com/pallets/flask/_build\n* Official chat: https://discord.gg/t6rrQZH\n\n.. _WSGI: https://wsgi.readthedocs.io\n.. _Werkzeug: https://www.palletsprojects.com/p/werkzeug/\n.. _Jinja: https://www.palletsprojects.com/p/jinja/\n.. _pip: https://pip.pypa.io/en/stable/quickstart/",
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      "description": "Python function signatures from PEP362 for Python 2.6, 2.7 and 3.2+\n.. funcsigs documentation master file, created by\n   sphinx-quickstart on Fri Apr 20 20:27:52 2012.\n   You can adapt this file completely to your liking, but it should at least\n   contain the root `toctree` directive.\n\nIntroducing funcsigs\n====================\n\nThe Funcsigs Package\n--------------------\n\n``funcsigs`` is a backport of the `PEP 362`_ function signature features from\nPython 3.3's `inspect`_ module. The backport is compatible with Python 2.6, 2.7\nas well as 3.3 and up. 3.2 was supported by version 0.4, but with setuptools and\npip no longer supporting 3.2, we cannot make any statement about 3.2\ncompatibility.\n\nCompatibility\n`````````````\n\nThe ``funcsigs`` backport has been tested against:\n\n* CPython 2.6\n* CPython 2.7\n* CPython 3.3\n* CPython 3.4\n* CPython 3.5\n* CPython nightlies\n* PyPy and PyPy3(currently failing CI)\n\nContinuous integration testing is provided by `Travis CI`_.\n\nUnder Python 2.x there is a compatibility issue when a function is assigned to\nthe ``__wrapped__`` property of a class after it has been constructed.\nSimiliarily there under PyPy directly passing the ``__call__`` method of a\nbuiltin is also a compatibility issues.  Otherwise the functionality is\nbelieved to be uniform between both Python2 and Python3.\n\nIssues\n``````\n\nSource code for ``funcsigs`` is hosted on `GitHub`_. Any bug reports or feature\nrequests can be made using GitHub's `issues system`_. |build_status| |coverage|\n\nExample\n-------\n\nTo obtain a `Signature` object, pass the target function to the\n``funcsigs.signature`` function.\n\n.. code-block:: python\n\n    >>> from funcsigs import signature\n    >>> def foo(a, b=None, *args, **kwargs):\n    ...     pass\n    ...\n    >>> sig = signature(foo)\n    >>> sig\n    <funcsigs.Signature object at 0x...>\n    >>> sig.parameters\n    OrderedDict([('a', <Parameter at 0x... 'a'>), ('b', <Parameter at 0x... 'b'>), ('args', <Parameter at 0x... 'args'>), ('kwargs', <Parameter at 0x... 'kwargs'>)])\n    >>> sig.return_annotation\n    <class 'funcsigs._empty'>\n\nIntrospecting callables with the Signature object\n-------------------------------------------------\n\n.. note::\n\n   This section of documentation is a direct reproduction of the Python\n   standard library documentation for the inspect module.\n\nThe Signature object represents the call signature of a callable object and its\nreturn annotation.  To retrieve a Signature object, use the :func:`signature`\nfunction.\n\n.. function:: signature(callable)\n\n   Return a :class:`Signature` object for the given ``callable``::\n\n      >>> from funcsigs import signature\n      >>> def foo(a, *, b:int, **kwargs):\n      ...     pass\n\n      >>> sig = signature(foo)\n\n      >>> str(sig)\n      '(a, *, b:int, **kwargs)'\n\n      >>> str(sig.parameters['b'])\n      'b:int'\n\n      >>> sig.parameters['b'].annotation\n      <class 'int'>\n\n   Accepts a wide range of python callables, from plain functions and classes to\n   :func:`functools.partial` objects.\n\n   .. note::\n\n      Some callables may not be introspectable in certain implementations of\n      Python.  For example, in CPython, built-in functions defined in C provide\n      no metadata about their arguments.\n\n\n.. class:: Signature\n\n   A Signature object represents the call signature of a function and its return\n   annotation.  For each parameter accepted by the function it stores a\n   :class:`Parameter` object in its :attr:`parameters` collection.\n\n   Signature objects are *immutable*.  Use :meth:`Signature.replace` to make a\n   modified copy.\n\n   .. attribute:: Signature.empty\n\n      A special class-level marker to specify absence of a return annotation.\n\n   .. attribute:: Signature.parameters\n\n      An ordered mapping of parameters' names to the corresponding\n      :class:`Parameter` objects.\n\n   .. attribute:: Signature.return_annotation\n\n      The \"return\" annotation for the callable.  If the callable has no \"return\"\n      annotation, this attribute is set to :attr:`Signature.empty`.\n\n   .. method:: Signature.bind(*args, **kwargs)\n\n      Create a mapping from positional and keyword arguments to parameters.\n      Returns :class:`BoundArguments` if ``*args`` and ``**kwargs`` match the\n      signature, or raises a :exc:`TypeError`.\n\n   .. method:: Signature.bind_partial(*args, **kwargs)\n\n      Works the same way as :meth:`Signature.bind`, but allows the omission of\n      some required arguments (mimics :func:`functools.partial` behavior.)\n      Returns :class:`BoundArguments`, or raises a :exc:`TypeError` if the\n      passed arguments do not match the signature.\n\n   .. method:: Signature.replace(*[, parameters][, return_annotation])\n\n      Create a new Signature instance based on the instance replace was invoked\n      on.  It is possible to pass different ``parameters`` and/or\n      ``return_annotation`` to override the corresponding properties of the base\n      signature.  To remove return_annotation from the copied Signature, pass in\n      :attr:`Signature.empty`.\n\n      ::\n\n         >>> def test(a, b):\n         ...     pass\n         >>> sig = signature(test)\n         >>> new_sig = sig.replace(return_annotation=\"new return anno\")\n         >>> str(new_sig)\n         \"(a, b) -> 'new return anno'\"\n\n\n.. class:: Parameter\n\n   Parameter objects are *immutable*.  Instead of modifying a Parameter object,\n   you can use :meth:`Parameter.replace` to create a modified copy.\n\n   .. attribute:: Parameter.empty\n\n      A special class-level marker to specify absence of default values and\n      annotations.\n\n   .. attribute:: Parameter.name\n\n      The name of the parameter as a string.  Must be a valid python identifier\n      name (with the exception of ``POSITIONAL_ONLY`` parameters, which can have\n      it set to ``None``).\n\n   .. attribute:: Parameter.default\n\n      The default value for the parameter.  If the parameter has no default\n      value, this attribute is set to :attr:`Parameter.empty`.\n\n   .. attribute:: Parameter.annotation\n\n      The annotation for the parameter.  If the parameter has no annotation,\n      this attribute is set to :attr:`Parameter.empty`.\n\n   .. attribute:: Parameter.kind\n\n      Describes how argument values are bound to the parameter.  Possible values\n      (accessible via :class:`Parameter`, like ``Parameter.KEYWORD_ONLY``):\n\n      +------------------------+----------------------------------------------+\n      |    Name                | Meaning                                      |\n      +========================+==============================================+\n      | *POSITIONAL_ONLY*      | Value must be supplied as a positional       |\n      |                        | argument.                                    |\n      |                        |                                              |\n      |                        | Python has no explicit syntax for defining   |\n      |                        | positional-only parameters, but many built-in|\n      |                        | and extension module functions (especially   |\n      |                        | those that accept only one or two parameters)|\n      |                        | accept them.                                 |\n      +------------------------+----------------------------------------------+\n      | *POSITIONAL_OR_KEYWORD*| Value may be supplied as either a keyword or |\n      |                        | positional argument (this is the standard    |\n      |                        | binding behaviour for functions implemented  |\n      |                        | in Python.)                                  |\n      +------------------------+----------------------------------------------+\n      | *VAR_POSITIONAL*       | A tuple of positional arguments that aren't  |\n      |                        | bound to any other parameter. This           |\n      |                        | corresponds to a ``*args`` parameter in a    |\n      |                        | Python function definition.                  |\n      +------------------------+----------------------------------------------+\n      | *KEYWORD_ONLY*         | Value must be supplied as a keyword argument.|\n      |                        | Keyword only parameters are those which      |\n      |                        | appear after a ``*`` or ``*args`` entry in a |\n      |                        | Python function definition.                  |\n      +------------------------+----------------------------------------------+\n      | *VAR_KEYWORD*          | A dict of keyword arguments that aren't bound|\n      |                        | to any other parameter. This corresponds to a|\n      |                        | ``**kwargs`` parameter in a Python function  |\n      |                        | definition.                                  |\n      +------------------------+----------------------------------------------+\n\n      Example: print all keyword-only arguments without default values::\n\n         >>> def foo(a, b, *, c, d=10):\n         ...     pass\n\n         >>> sig = signature(foo)\n         >>> for param in sig.parameters.values():\n         ...     if (param.kind == param.KEYWORD_ONLY and\n         ...                        param.default is param.empty):\n         ...         print('Parameter:', param)\n         Parameter: c\n\n   .. method:: Parameter.replace(*[, name][, kind][, default][, annotation])\n\n      Create a new Parameter instance based on the instance replaced was invoked\n      on.  To override a :class:`Parameter` attribute, pass the corresponding\n      argument.  To remove a default value or/and an annotation from a\n      Parameter, pass :attr:`Parameter.empty`.\n\n      ::\n\n         >>> from funcsigs import Parameter\n         >>> param = Parameter('foo', Parameter.KEYWORD_ONLY, default=42)\n         >>> str(param)\n         'foo=42'\n\n         >>> str(param.replace()) # Will create a shallow copy of 'param'\n         'foo=42'\n\n         >>> str(param.replace(default=Parameter.empty, annotation='spam'))\n         \"foo:'spam'\"\n\n\n.. class:: BoundArguments\n\n   Result of a :meth:`Signature.bind` or :meth:`Signature.bind_partial` call.\n   Holds the mapping of arguments to the function's parameters.\n\n   .. attribute:: BoundArguments.arguments\n\n      An ordered, mutable mapping (:class:`collections.OrderedDict`) of\n      parameters' names to arguments' values.  Contains only explicitly bound\n      arguments.  Changes in :attr:`arguments` will reflect in :attr:`args` and\n      :attr:`kwargs`.\n\n      Should be used in conjunction with :attr:`Signature.parameters` for any\n      argument processing purposes.\n\n      .. note::\n\n         Arguments for which :meth:`Signature.bind` or\n         :meth:`Signature.bind_partial` relied on a default value are skipped.\n         However, if needed, it is easy to include them.\n\n      ::\n\n        >>> def foo(a, b=10):\n        ...     pass\n\n        >>> sig = signature(foo)\n        >>> ba = sig.bind(5)\n\n        >>> ba.args, ba.kwargs\n        ((5,), {})\n\n        >>> for param in sig.parameters.values():\n        ...     if param.name not in ba.arguments:\n        ...         ba.arguments[param.name] = param.default\n\n        >>> ba.args, ba.kwargs\n        ((5, 10), {})\n\n\n   .. attribute:: BoundArguments.args\n\n      A tuple of positional arguments values.  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Many folks knowledgeable on authoring\nschemas can be found there.\n\nOtherwise, asking questions on Stack Overflow is another means of\ngetting help if you're stuck.\n\nContributing\n------------\n\nI'm Julian Berman.\n\n``jsonschema`` is on `GitHub <https://github.com/Julian/jsonschema>`_.\n\nGet in touch, via GitHub or otherwise, if you've got something to contribute,\nit'd be most welcome!\n\nYou can also generally find me on Libera (nick: ``Julian``) in various\nchannels, including ``#python``.\n\nIf you feel overwhelmingly grateful, you can also `sponsor me\n<https://github.com/sponsors/Julian/>`_.\n\nAnd for companies who appreciate ``jsonschema`` and its continued support\nand growth, ``jsonschema`` is also now supportable via `TideLift\n<https://tidelift.com/subscription/pkg/pypi-jsonschema?utm_source=pypi-j\nsonschema&utm_medium=referral&utm_campaign=readme>`_.",
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      "description": "MessagePack serializer\n# MessagePack for Python\n\n[![Build Status](https://travis-ci.org/msgpack/msgpack-python.svg?branch=master)](https://travis-ci.org/msgpack/msgpack-python)\n[![Documentation Status](https://readthedocs.org/projects/msgpack-python/badge/?version=latest)](https://msgpack-python.readthedocs.io/en/latest/?badge=latest)\n\n## What's this\n\n[MessagePack](https://msgpack.org/) is an efficient binary serialization format.\nIt lets you exchange data among multiple languages like JSON.\nBut it's faster and smaller.\nThis package provides CPython bindings for reading and writing MessagePack data.\n\n\n## Very important notes for existing users\n\n### PyPI package name\n\nPackage name on PyPI was changed from `msgpack-python` to `msgpack` from 0.5.\n\nWhen upgrading from msgpack-0.4 or earlier, do `pip uninstall msgpack-python` before\n`pip install -U msgpack`.\n\n\n### Compatibility with the old format\n\nYou can use `use_bin_type=False` option to pack `bytes`\nobject into raw type in the old msgpack spec, instead of bin type in new msgpack spec.\n\nYou can unpack old msgpack format using `raw=True` option.\nIt unpacks str (raw) type in msgpack into Python bytes.\n\nSee note below for detail.\n\n\n### Major breaking changes in msgpack 1.0\n\n* Python 2\n\n  * The extension module does not support Python 2 anymore.\n    The pure Python implementation (`msgpack.fallback`) is used for Python 2.\n\n* Packer\n\n  * `use_bin_type=True` by default.  bytes are encoded in bin type in msgpack.\n    **If you are still using Python 2, you must use unicode for all string types.**\n    You can use `use_bin_type=False` to encode into old msgpack format.\n  * `encoding` option is removed.  UTF-8 is used always.\n\n* Unpacker\n\n  * `raw=False` by default.  It assumes str types are valid UTF-8 string\n    and decode them to Python str (unicode) object.\n  * `encoding` option is removed.  You can use `raw=True` to support old format.\n  * Default value of `max_buffer_size` is changed from 0 to 100 MiB.\n  * Default value of `strict_map_key` is changed to True to avoid hashdos.\n    You need to pass `strict_map_key=False` if you have data which contain map keys\n    which type is not bytes or str.\n\n\n## Install\n\n```\n$ pip install msgpack\n```\n\n### Pure Python implementation\n\nThe extension module in msgpack (`msgpack._cmsgpack`) does not support\nPython 2 and PyPy.\n\nBut msgpack provides a pure Python implementation (`msgpack.fallback`)\nfor PyPy and Python 2.\n\n\n\n### Windows\n\nWhen you can't use a binary distribution, you need to install Visual Studio\nor Windows SDK on Windows.\nWithout extension, using pure Python implementation on CPython runs slowly.\n\n\n## How to use\n\nNOTE: In examples below, I use `raw=False` and `use_bin_type=True` for users\nusing msgpack < 1.0. These options are default from msgpack 1.0 so you can omit them.\n\n\n### One-shot pack & unpack\n\nUse `packb` for packing and `unpackb` for unpacking.\nmsgpack provides `dumps` and `loads` as an alias for compatibility with\n`json` and `pickle`.\n\n`pack` and `dump` packs to a file-like object.\n`unpack` and `load` unpacks from a file-like object.\n\n```pycon\n>>> import msgpack\n>>> msgpack.packb([1, 2, 3], use_bin_type=True)\n'\\x93\\x01\\x02\\x03'\n>>> msgpack.unpackb(_, raw=False)\n[1, 2, 3]\n```\n\n`unpack` unpacks msgpack's array to Python's list, but can also unpack to tuple:\n\n```pycon\n>>> msgpack.unpackb(b'\\x93\\x01\\x02\\x03', use_list=False, raw=False)\n(1, 2, 3)\n```\n\nYou should always specify the `use_list` keyword argument for backward compatibility.\nSee performance issues relating to `use_list option`_ below.\n\nRead the docstring for other options.\n\n\n### Streaming unpacking\n\n`Unpacker` is a \"streaming unpacker\". It unpacks multiple objects from one\nstream (or from bytes provided through its `feed` method).\n\n```py\nimport msgpack\nfrom io import BytesIO\n\nbuf = BytesIO()\nfor i in range(100):\n   buf.write(msgpack.packb(i, use_bin_type=True))\n\nbuf.seek(0)\n\nunpacker = msgpack.Unpacker(buf, raw=False)\nfor unpacked in unpacker:\n    print(unpacked)\n```\n\n\n### Packing/unpacking of custom data type\n\nIt is also possible to pack/unpack custom data types. Here is an example for\n`datetime.datetime`.\n\n```py\nimport datetime\nimport msgpack\n\nuseful_dict = {\n    \"id\": 1,\n    \"created\": datetime.datetime.now(),\n}\n\ndef decode_datetime(obj):\n    if '__datetime__' in obj:\n        obj = datetime.datetime.strptime(obj[\"as_str\"], \"%Y%m%dT%H:%M:%S.%f\")\n    return obj\n\ndef encode_datetime(obj):\n    if isinstance(obj, datetime.datetime):\n        return {'__datetime__': True, 'as_str': obj.strftime(\"%Y%m%dT%H:%M:%S.%f\")}\n    return obj\n\n\npacked_dict = msgpack.packb(useful_dict, default=encode_datetime, use_bin_type=True)\nthis_dict_again = msgpack.unpackb(packed_dict, object_hook=decode_datetime, raw=False)\n```\n\n`Unpacker`'s `object_hook` callback receives a dict; the\n`object_pairs_hook` callback may instead be used to receive a list of\nkey-value pairs.\n\n\n### Extended types\n\nIt is also possible to pack/unpack custom data types using the **ext** type.\n\n```pycon\n>>> import msgpack\n>>> import array\n>>> def default(obj):\n...     if isinstance(obj, array.array) and obj.typecode == 'd':\n...         return msgpack.ExtType(42, obj.tostring())\n...     raise TypeError(\"Unknown type: %r\" % (obj,))\n...\n>>> def ext_hook(code, data):\n...     if code == 42:\n...         a = array.array('d')\n...         a.fromstring(data)\n...         return a\n...     return ExtType(code, data)\n...\n>>> data = array.array('d', [1.2, 3.4])\n>>> packed = msgpack.packb(data, default=default, use_bin_type=True)\n>>> unpacked = msgpack.unpackb(packed, ext_hook=ext_hook, raw=False)\n>>> data == unpacked\nTrue\n```\n\n\n### Advanced unpacking control\n\nAs an alternative to iteration, `Unpacker` objects provide `unpack`,\n`skip`, `read_array_header` and `read_map_header` methods. The former two\nread an entire message from the stream, respectively de-serialising and returning\nthe result, or ignoring it. The latter two methods return the number of elements\nin the upcoming container, so that each element in an array, or key-value pair\nin a map, can be unpacked or skipped individually.\n\n\n## Notes\n\n### string and binary type\n\nEarly versions of msgpack didn't distinguish string and binary types.\nThe type for representing both string and binary types was named **raw**.\n\nYou can pack into and unpack from this old spec using `use_bin_type=False`\nand `raw=True` options.\n\n```pycon\n>>> import msgpack\n>>> msgpack.unpackb(msgpack.packb([b'spam', u'eggs'], use_bin_type=False), raw=True)\n[b'spam', b'eggs']\n>>> msgpack.unpackb(msgpack.packb([b'spam', u'eggs'], use_bin_type=True), raw=False)\n[b'spam', 'eggs']\n```\n\n### ext type\n\nTo use the **ext** type, pass `msgpack.ExtType` object to packer.\n\n```pycon\n>>> import msgpack\n>>> packed = msgpack.packb(msgpack.ExtType(42, b'xyzzy'))\n>>> msgpack.unpackb(packed)\nExtType(code=42, data='xyzzy')\n```\n\nYou can use it with `default` and `ext_hook`. 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      "description": "plugin and hook calling mechanisms for python\n====================================================\npluggy - A minimalist production ready plugin system\n====================================================\n\n|pypi| |conda-forge| |versions| |travis| |appveyor| |gitter| |black| |codecov|\n\nThis is the core framework used by the `pytest`_, `tox`_, and `devpi`_ projects.\n\nPlease `read the docs`_ to learn more!\n\nA definitive example\n====================\n.. code-block:: python\n\n    import pluggy\n\n    hookspec = pluggy.HookspecMarker(\"myproject\")\n    hookimpl = pluggy.HookimplMarker(\"myproject\")\n\n\n    class MySpec(object):\n        \"\"\"A hook specification namespace.\n        \"\"\"\n\n        @hookspec\n        def myhook(self, arg1, arg2):\n            \"\"\"My special little hook that you can customize.\n            \"\"\"\n\n\n    class Plugin_1(object):\n        \"\"\"A hook implementation namespace.\n        \"\"\"\n\n        @hookimpl\n        def myhook(self, arg1, arg2):\n            print(\"inside Plugin_1.myhook()\")\n            return arg1 + arg2\n\n\n    class Plugin_2(object):\n        \"\"\"A 2nd hook implementation namespace.\n        \"\"\"\n\n        @hookimpl\n        def myhook(self, arg1, arg2):\n            print(\"inside Plugin_2.myhook()\")\n            return arg1 - arg2\n\n\n    # create a manager and add the spec\n    pm = pluggy.PluginManager(\"myproject\")\n    pm.add_hookspecs(MySpec)\n\n    # register plugins\n    pm.register(Plugin_1())\n    pm.register(Plugin_2())\n\n    # call our ``myhook`` hook\n    results = pm.hook.myhook(arg1=1, arg2=2)\n    print(results)\n\n\nRunning this directly gets us::\n\n    $ python docs/examples/toy-example.py\n    inside Plugin_2.myhook()\n    inside Plugin_1.myhook()\n    [-1, 3]\n\n\n.. badges\n\n.. |pypi| image:: https://img.shields.io/pypi/v/pluggy.svg\n    :target: https://pypi.org/pypi/pluggy\n\n.. |versions| image:: https://img.shields.io/pypi/pyversions/pluggy.svg\n    :target: https://pypi.org/pypi/pluggy\n\n.. |travis| image:: https://img.shields.io/travis/pytest-dev/pluggy/master.svg\n    :target: https://travis-ci.org/pytest-dev/pluggy\n\n.. |appveyor| image:: https://img.shields.io/appveyor/ci/pytestbot/pluggy/master.svg\n    :target: https://ci.appveyor.com/project/pytestbot/pluggy\n\n.. |conda-forge| image:: https://img.shields.io/conda/vn/conda-forge/pluggy.svg\n    :target: https://anaconda.org/conda-forge/pytest\n\n.. |gitter| image:: https://badges.gitter.im/pytest-dev/pluggy.svg\n    :alt: Join the chat at https://gitter.im/pytest-dev/pluggy\n    :target: https://gitter.im/pytest-dev/pluggy?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge\n\n.. |black| image:: https://img.shields.io/badge/code%20style-black-000000.svg\n    :target: https://github.com/ambv/black\n\n.. |codecov| image:: https://codecov.io/gh/pytest-dev/pluggy/branch/master/graph/badge.svg\n    :target: https://codecov.io/gh/pytest-dev/pluggy\n    :alt: Code coverage Status\n\n.. links\n.. _pytest:\n    http://pytest.org\n.. _tox:\n    https://tox.readthedocs.org\n.. _devpi:\n    http://doc.devpi.net\n.. _read the docs:\n   https://pluggy.readthedocs.io/en/latest/\n\n\n=========\nChangelog\n=========\n\n.. towncrier release notes start\n\npluggy 0.13.1 (2019-11-21)\n==========================\n\nTrivial/Internal Changes\n------------------------\n\n- `#236 <https://github.com/pytest-dev/pluggy/pull/236>`_: Improved documentation, especially with regard to references.\n\n\npluggy 0.13.0 (2019-09-10)\n==========================\n\nTrivial/Internal Changes\n------------------------\n\n- `#222 <https://github.com/pytest-dev/pluggy/issues/222>`_: Replace ``importlib_metadata`` backport with ``importlib.metadata`` from the\n  standard library on Python 3.8+.\n\n\npluggy 0.12.0 (2019-05-27)\n==========================\n\nFeatures\n--------\n\n- `#215 <https://github.com/pytest-dev/pluggy/issues/215>`_: Switch from ``pkg_resources`` to ``importlib-metadata`` for entrypoint detection for improved performance and import time.  This time with ``.egg`` support.\n\n\npluggy 0.11.0 (2019-05-07)\n==========================\n\nBug Fixes\n---------\n\n- `#205 <https://github.com/pytest-dev/pluggy/issues/205>`_: Revert changes made in 0.10.0 release breaking ``.egg`` installs.\n\n\npluggy 0.10.0 (2019-05-07)\n==========================\n\nFeatures\n--------\n\n- `#199 <https://github.com/pytest-dev/pluggy/issues/199>`_: Switch from ``pkg_resources`` to ``importlib-metadata`` for entrypoint detection for improved performance and import time.\n\n\npluggy 0.9.0 (2019-02-21)\n=========================\n\nFeatures\n--------\n\n- `#189 <https://github.com/pytest-dev/pluggy/issues/189>`_: ``PluginManager.load_setuptools_entrypoints`` now accepts a ``name`` parameter that when given will\n  load only entry points with that name.\n\n  ``PluginManager.load_setuptools_entrypoints`` also now returns the number of plugins loaded by the\n  call, as opposed to the number of all plugins loaded by all calls to this method.\n\n\n\nBug Fixes\n---------\n\n- `#187 <https://github.com/pytest-dev/pluggy/issues/187>`_: Fix internal ``varnames`` function for PyPy3.\n\n\npluggy 0.8.1 (2018-11-09)\n=========================\n\nTrivial/Internal Changes\n------------------------\n\n- `#166 <https://github.com/pytest-dev/pluggy/issues/166>`_: Add ``stacklevel=2`` to implprefix warning so that the reported location of warning is the caller of PluginManager.\n\n\npluggy 0.8.0 (2018-10-15)\n=========================\n\nFeatures\n--------\n\n- `#177 <https://github.com/pytest-dev/pluggy/issues/177>`_: Add ``get_hookimpls()`` method to hook callers.\n\n\n\nTrivial/Internal Changes\n------------------------\n\n- `#165 <https://github.com/pytest-dev/pluggy/issues/165>`_: Add changelog in long package description and documentation.\n\n\n- `#172 <https://github.com/pytest-dev/pluggy/issues/172>`_: Add a test exemplifying the opt-in nature of spec defined args.\n\n\n- `#57 <https://github.com/pytest-dev/pluggy/issues/57>`_: Encapsulate hook specifications in a type for easier introspection.\n\n\npluggy 0.7.1 (2018-07-28)\n=========================\n\nDeprecations and Removals\n-------------------------\n\n- `#116 <https://github.com/pytest-dev/pluggy/issues/116>`_: Deprecate the ``implprefix`` kwarg to ``PluginManager`` and instead\n  expect users to start using explicit ``HookimplMarker`` everywhere.\n\n\n\nFeatures\n--------\n\n- `#122 <https://github.com/pytest-dev/pluggy/issues/122>`_: Add ``.plugin`` member to ``PluginValidationError`` to access failing plugin during post-mortem.\n\n\n- `#138 <https://github.com/pytest-dev/pluggy/issues/138>`_: Add per implementation warnings support for hookspecs allowing for both\n  deprecation and future warnings of legacy and (future) experimental hooks\n  respectively.\n\n\n\nBug Fixes\n---------\n\n- `#110 <https://github.com/pytest-dev/pluggy/issues/110>`_: Fix a bug where ``_HookCaller.call_historic()`` would call the ``proc``\n  arg even when the default is ``None`` resulting in a ``TypeError``.\n\n- `#160 <https://github.com/pytest-dev/pluggy/issues/160>`_: Fix problem when handling ``VersionConflict`` errors when loading setuptools plugins.\n\n\n\nImproved Documentation\n----------------------\n\n- `#123 <https://github.com/pytest-dev/pluggy/issues/123>`_: Document how exceptions are handled and how the hook call loop\n  terminates immediately on the first error which is then delivered\n  to any surrounding wrappers.\n\n\n- `#136 <https://github.com/pytest-dev/pluggy/issues/136>`_: Docs rework including a much better introduction and comprehensive example\n  set for new users. A big thanks goes out to @obestwalter for the great work!\n\n\n\nTrivial/Internal Changes\n------------------------\n\n- `#117 <https://github.com/pytest-dev/pluggy/issues/117>`_: Break up the main monolithic package modules into separate modules by concern\n\n\n- `#131 <https://github.com/pytest-dev/pluggy/issues/131>`_: Automate ``setuptools`` wheels building and PyPi upload using TravisCI.\n\n\n- `#153 <https://github.com/pytest-dev/pluggy/issues/153>`_: Reorganize tests more appropriately by modules relating to each\n  internal component/feature. This is in an effort to avoid (future)\n  duplication and better separation of concerns in the test set.\n\n\n- `#156 <https://github.com/pytest-dev/pluggy/issues/156>`_: Add ``HookImpl.__repr__()`` for better debugging.\n\n\n- `#66 <https://github.com/pytest-dev/pluggy/issues/66>`_: Start using ``towncrier`` and a custom ``tox`` environment to prepare releases!\n\n\npluggy 0.7.0 (Unreleased)\n=========================\n\n* `#160 <https://github.com/pytest-dev/pluggy/issues/160>`_: We discovered a deployment issue so this version was never released to PyPI, only the tag exists.\n\npluggy 0.6.0 (2017-11-24)\n=========================\n\n- Add CI testing for the features, release, and master\n  branches of ``pytest`` (PR `#79`_).\n- Document public API for ``_Result`` objects passed to wrappers\n  (PR `#85`_).\n- Document and test hook LIFO ordering (PR `#85`_).\n- Turn warnings into errors in test suite (PR `#89`_).\n- Deprecate ``_Result.result`` (PR `#88`_).\n- Convert ``_Multicall`` to a simple function distinguishing it from\n  the legacy version (PR `#90`_).\n- Resolve E741 errors (PR `#96`_).\n- Test and bug fix for unmarked hook collection (PRs `#97`_ and\n  `#102`_).\n- Drop support for EOL Python 2.6 and 3.3 (PR `#103`_).\n- Fix ``inspect`` based arg introspection on py3.6 (PR `#94`_).\n\n.. _#79: https://github.com/pytest-dev/pluggy/pull/79\n.. _#85: https://github.com/pytest-dev/pluggy/pull/85\n.. _#88: https://github.com/pytest-dev/pluggy/pull/88\n.. _#89: https://github.com/pytest-dev/pluggy/pull/89\n.. _#90: https://github.com/pytest-dev/pluggy/pull/90\n.. _#94: https://github.com/pytest-dev/pluggy/pull/94\n.. _#96: https://github.com/pytest-dev/pluggy/pull/96\n.. _#97: https://github.com/pytest-dev/pluggy/pull/97\n.. _#102: https://github.com/pytest-dev/pluggy/pull/102\n.. _#103: https://github.com/pytest-dev/pluggy/pull/103\n\n\npluggy 0.5.2 (2017-09-06)\n=========================\n\n- fix bug where ``firstresult`` wrappers were being sent an incorrectly configured\n  ``_Result`` (a list was set instead of a single value). Add tests to check for\n  this as well as ``_Result.force_result()`` behaviour. Thanks to `@tgoodlet`_\n  for the PR `#72`_.\n\n- fix incorrect ``getattr``  of ``DeprecationWarning`` from the ``warnings``\n  module. Thanks to `@nicoddemus`_ for the PR `#77`_.\n\n- hide ``pytest`` tracebacks in certain core routines. Thanks to\n  `@nicoddemus`_ for the PR `#80`_.\n\n.. _#72: https://github.com/pytest-dev/pluggy/pull/72\n.. _#77: https://github.com/pytest-dev/pluggy/pull/77\n.. _#80: https://github.com/pytest-dev/pluggy/pull/80\n\n\npluggy 0.5.1 (2017-08-29)\n=========================\n\n- fix a bug and add tests for case where ``firstresult`` hooks return\n  ``None`` results. Thanks to `@RonnyPfannschmidt`_ and `@tgoodlet`_\n  for the issue (`#68`_) and PR (`#69`_) respectively.\n\n.. _#69: https://github.com/pytest-dev/pluggy/pull/69\n.. _#68: https://github.com/pytest-dev/pluggy/issues/68\n\n\npluggy 0.5.0 (2017-08-28)\n=========================\n\n- fix bug where callbacks for historic hooks would not be called for\n  already registered plugins.  Thanks `@vodik`_ for the PR\n  and `@hpk42`_ for further fixes.\n\n- fix `#17`_ by considering only actual functions for hooks\n  this removes the ability to register arbitrary callable objects\n  which at first glance is a reasonable simplification,\n  thanks `@RonnyPfannschmidt`_ for report and pr.\n\n- fix `#19`_: allow registering hookspecs from instances.  The PR from\n  `@tgoodlet`_ also modernized the varnames implementation.\n\n- resolve `#32`_: split up the test set into multiple modules.\n  Thanks to `@RonnyPfannschmidt`_ for the PR and `@tgoodlet`_ for\n  the initial request.\n\n- resolve `#14`_: add full sphinx docs. Thanks to `@tgoodlet`_ for\n  PR `#39`_.\n\n- add hook call mismatch warnings. Thanks to `@tgoodlet`_ for the\n  PR `#42`_.\n\n- resolve `#44`_: move to new-style classes. Thanks to `@MichalTHEDUDE`_\n  for PR `#46`_.\n\n- add baseline benchmarking/speed tests using ``pytest-benchmark``\n  in PR `#54`_.  Thanks to `@tgoodlet`_.\n\n- update the README to showcase the API. Thanks to `@tgoodlet`_ for the\n  issue and PR `#55`_.\n\n- deprecate ``__multicall__`` and add a faster call loop implementation.\n  Thanks to `@tgoodlet`_ for PR `#58`_.\n\n- raise a comprehensible error when a ``hookimpl`` is called with positional\n  args. Thanks to `@RonnyPfannschmidt`_ for the issue and `@tgoodlet`_ for\n  PR `#60`_.\n\n- fix the ``firstresult`` test making it more complete\n  and remove a duplicate of that test. Thanks to `@tgoodlet`_\n  for PR `#62`_.\n\n.. _#62: https://github.com/pytest-dev/pluggy/pull/62\n.. _#60: https://github.com/pytest-dev/pluggy/pull/60\n.. _#58: https://github.com/pytest-dev/pluggy/pull/58\n.. _#55: https://github.com/pytest-dev/pluggy/pull/55\n.. _#54: https://github.com/pytest-dev/pluggy/pull/54\n.. _#46: https://github.com/pytest-dev/pluggy/pull/46\n.. _#44: https://github.com/pytest-dev/pluggy/issues/44\n.. _#42: https://github.com/pytest-dev/pluggy/pull/42\n.. _#39: https://github.com/pytest-dev/pluggy/pull/39\n.. _#32: https://github.com/pytest-dev/pluggy/pull/32\n.. _#19: https://github.com/pytest-dev/pluggy/issues/19\n.. _#17: https://github.com/pytest-dev/pluggy/issues/17\n.. _#14: https://github.com/pytest-dev/pluggy/issues/14\n\n\npluggy 0.4.0 (2016-09-25)\n=========================\n\n- add ``has_plugin(name)`` method to pluginmanager.  thanks `@nicoddemus`_.\n\n- fix `#11`_: make plugin parsing more resilient against exceptions\n  from ``__getattr__`` functions. 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      "description": "Library for building powerful interactive command lines in Python\nPython Prompt Toolkit\n=====================\n\n|Build Status|  |PyPI|\n\n``prompt_toolkit`` is a library for building powerful interactive command lines\nand terminal applications in Python.\n\nRead the `documentation on readthedocs\n<http://python-prompt-toolkit.readthedocs.io/en/stable/>`_.\n\n\nPtpython\n********\n\n`ptpython <http://github.com/jonathanslenders/ptpython/>`_ is an interactive\nPython Shell, build on top of prompt_toolkit.\n\n.. image :: https://github.com/jonathanslenders/python-prompt-toolkit/raw/master/docs/images/ptpython.png\n\n\nprompt_toolkit features\n***********************\n\n``prompt_toolkit`` could be a replacement for `GNU readline\n<http://cnswww.cns.cwru.edu/php/chet/readline/rltop.html>`_, but it can be much\nmore than that.\n\nSome features:\n\n- Pure Python.\n- Syntax highlighting of the input while typing. (For instance, with a Pygments lexer.)\n- Multi-line input editing.\n- Advanced code completion.\n- Both Emacs and Vi key bindings. (Similar to readline.)\n- Even some advanced Vi functionality, like named registers and digraphs.\n- Reverse and forward incremental search.\n- Runs on all Python versions from 2.6 up to 3.5.\n- Works well with Unicode double width characters. (Chinese input.)\n- Selecting text for copy/paste. (Both Emacs and Vi style.)\n- Support for `bracketed paste <https://cirw.in/blog/bracketed-paste>`_.\n- Mouse support for cursor positioning and scrolling.\n- Auto suggestions. (Like `fish shell <http://fishshell.com/>`_.)\n- Multiple input buffers.\n- No global state.\n- Lightweight, the only dependencies are Pygments, six and wcwidth.\n- Runs on Linux, OS X, FreeBSD, OpenBSD and Windows systems.\n- And much more...\n\nFeel free to create tickets for bugs and feature requests, and create pull\nrequests if you have nice patches that you would like to share with others.\n\n\nAbout Windows support\n*********************\n\n``prompt_toolkit`` is cross platform, and everything that you build on top\nshould run fine on both Unix and Windows systems. On Windows, it uses a\ndifferent event loop (``WaitForMultipleObjects`` instead of ``select``), and\nanother input and output system. (Win32 APIs instead of pseudo-terminals and\nVT100.)\n\nIt's worth noting that the implementation is a \"best effort of what is\npossible\". Both Unix and Windows terminals have their limitations. But in\ngeneral, the Unix experience will still be a little better.\n\nFor Windows, it's recommended to use either `cmder\n<http://cmder.net/>`_ or `conemu <https://conemu.github.io/>`_.\n\n\nInstallation\n************\n\n::\n\n    pip install prompt_toolkit\n\nFor Conda, do:\n\n::\n\n    conda install -c https://conda.anaconda.org/conda-forge prompt_toolkit\n\n\nGetting started\n***************\n\nThe most simple example of the library would look like this:\n\n.. code:: python\n\n    from prompt_toolkit import prompt\n\n    if __name__ == '__main__':\n        answer = prompt('Give me some input: ')\n        print('You said: %s' % answer)\n\nFor more complex examples, have a look in the ``examples`` directory. All\nexamples are chosen to demonstrate only one thing. Also, don't be afraid to\nlook at the source code. The implementation of the ``prompt`` function could be\na good start.\n\nNote for Python 2: all strings are expected to be unicode strings. So, either\nput a small ``u`` in front of every string or put ``from __future__ import\nunicode_literals`` at the start of the above example.\n\n\nProjects using prompt_toolkit\n*****************************\n\nShells:\n\n- `ptpython <http://github.com/jonathanslenders/ptpython/>`_: Python REPL\n- `ptpdb <http://github.com/jonathanslenders/ptpdb/>`_: Python debugger (pdb replacement)\n- `pgcli <http://pgcli.com/>`_: Postgres client.\n- `mycli <http://mycli.net>`_: MySql client.\n- `wharfee <http://wharfee.com/>`_: A Docker command line.\n- `xonsh <http://xon.sh/>`_: A Python-ish, BASHwards-compatible shell.\n- `saws <https://github.com/donnemartin/saws>`_: A Supercharged AWS Command Line Interface.\n- `cycli <https://github.com/nicolewhite/cycli>`_:  A Command Line Interface for Cypher.\n- `crash <https://github.com/crate/crash>`_:  Crate command line client.\n- `vcli <https://github.com/dbcli/vcli>`_: Vertica client.\n- `aws-shell <https://github.com/awslabs/aws-shell>`_: An integrated shell for working with the AWS CLI.\n- `softlayer-python <https://github.com/softlayer/softlayer-python>`_: A command-line interface to manage various SoftLayer products and services.\n- `ipython <http://github.com/ipython/ipython/>`_: The IPython REPL\n- `click-repl <https://github.com/click-contrib/click-repl>`_: Subcommand REPL for click apps.\n- `haxor-news <https://github.com/donnemartin/haxor-news>`_: A Hacker News CLI.\n- `gitsome <https://github.com/donnemartin/gitsome>`_: A Git/Shell Autocompleter with GitHub Integration.\n- `http-prompt <https://github.com/eliangcs/http-prompt>`_: An interactive command-line HTTP client.\n- `coconut <http://coconut-lang.org/>`_: Functional programming in Python.\n- `Ergonomica <https://ergonomica.github.io/>`_: A Bash alternative written in Python.\n- `Kube-shell <https://github.com/cloudnativelabs/kube-shell>`_: Kubernetes shell: An integrated shell for working with the Kubernetes CLI\n\nFull screen applications:\n\n- `pymux <http://github.com/jonathanslenders/pymux/>`_: A terminal multiplexer (like tmux) in pure Python.\n- `pyvim <http://github.com/jonathanslenders/pyvim/>`_: A Vim clone in pure Python.\n\n(Want your own project to be listed here? Please create a GitHub issue.)\n\n\nPhilosophy\n**********\n\nThe source code of ``prompt_toolkit`` should be readable, concise and\nefficient. We prefer short functions focussing each on one task and for which\nthe input and output types are clearly specified. We mostly prefer composition\nover inheritance, because inheritance can result in too much functionality in\nthe same object. We prefer immutable objects where possible (objects don't\nchange after initialisation). Reusability is important. We absolutely refrain\nfrom having a changing global state, it should be possible to have multiple\nindependent instances of the same code in the same process. The architecture\nshould be layered: the lower levels operate on primitive operations and data\nstructures giving -- when correctly combined -- all the possible flexibility;\nwhile at the higher level, there should be a simpler API, ready-to-use and\nsufficient for most use cases. 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      "description": "World timezone definitions, modern and historical\npytz - World Timezone Definitions for Python\n============================================\n\n:Author: Stuart Bishop <stuart@stuartbishop.net>\n\nIntroduction\n~~~~~~~~~~~~\n\npytz brings the Olson tz database into Python. This library allows\naccurate and cross platform timezone calculations using Python 2.4\nor higher. It also solves the issue of ambiguous times at the end\nof daylight saving time, which you can read more about in the Python\nLibrary Reference (``datetime.tzinfo``).\n\nAlmost all of the Olson timezones are supported.\n\n.. note::\n\n    Projects using Python 3.9 or later should be using the support\n    now included as part of the standard library, and third party\n    packages work with it such as `tzdata <https://pypi.org/project/tzdata/>`_.\n    pytz offers no advantages beyond backwards compatibility with\n    code written for earlier versions of Python.\n\n.. note::\n\n    This library differs from the documented Python API for\n    tzinfo implementations; if you want to create local wallclock\n    times you need to use the ``localize()`` method documented in this\n    document. In addition, if you perform date arithmetic on local\n    times that cross DST boundaries, the result may be in an incorrect\n    timezone (ie. subtract 1 minute from 2002-10-27 1:00 EST and you get\n    2002-10-27 0:59 EST instead of the correct 2002-10-27 1:59 EDT). A\n    ``normalize()`` method is provided to correct this. Unfortunately these\n    issues cannot be resolved without modifying the Python datetime\n    implementation (see PEP-431).\n\n\nInstallation\n~~~~~~~~~~~~\n\nThis package can either be installed using ``pip`` or from a tarball using the\nstandard Python distutils.\n\nIf you are installing using ``pip``, you don't need to download anything as the\nlatest version will be downloaded for you from PyPI::\n\n    pip install pytz\n\nIf you are installing from a tarball, run the following command as an\nadministrative user::\n\n    python setup.py install\n\n\npytz for Enterprise\n~~~~~~~~~~~~~~~~~~~\n\nAvailable as part of the Tidelift Subscription.\n\nThe maintainers of pytz and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the open source dependencies you use to build your applications. Save time, reduce risk, and improve code health, while paying the maintainers of the exact dependencies you use. `Learn more. <https://tidelift.com/subscription/pkg/pypi-pytz?utm_source=pypi-pytz&utm_medium=referral&utm_campaign=enterprise&utm_term=repo>`_.\n\n\nExample & Usage\n~~~~~~~~~~~~~~~\n\nLocalized times and date arithmetic\n-----------------------------------\n\n>>> from datetime import datetime, timedelta\n>>> from pytz import timezone\n>>> import pytz\n>>> utc = pytz.utc\n>>> utc.zone\n'UTC'\n>>> eastern = timezone('US/Eastern')\n>>> eastern.zone\n'US/Eastern'\n>>> amsterdam = timezone('Europe/Amsterdam')\n>>> fmt = '%Y-%m-%d %H:%M:%S %Z%z'\n\nThis library only supports two ways of building a localized time. The\nfirst is to use the ``localize()`` method provided by the pytz library.\nThis is used to localize a naive datetime (datetime with no timezone\ninformation):\n\n>>> loc_dt = eastern.localize(datetime(2002, 10, 27, 6, 0, 0))\n>>> print(loc_dt.strftime(fmt))\n2002-10-27 06:00:00 EST-0500\n\nThe second way of building a localized time is by converting an existing\nlocalized time using the standard ``astimezone()`` method:\n\n>>> ams_dt = loc_dt.astimezone(amsterdam)\n>>> ams_dt.strftime(fmt)\n'2002-10-27 12:00:00 CET+0100'\n\nUnfortunately using the tzinfo argument of the standard datetime\nconstructors ''does not work'' with pytz for many timezones.\n\n>>> datetime(2002, 10, 27, 12, 0, 0, tzinfo=amsterdam).strftime(fmt)  # /!\\ Does not work this way!\n'2002-10-27 12:00:00 LMT+0018'\n\nIt is safe for timezones without daylight saving transitions though, such\nas UTC:\n\n>>> datetime(2002, 10, 27, 12, 0, 0, tzinfo=pytz.utc).strftime(fmt)  # /!\\ Not recommended except for UTC\n'2002-10-27 12:00:00 UTC+0000'\n\nThe preferred way of dealing with times is to always work in UTC,\nconverting to localtime only when generating output to be read\nby humans.\n\n>>> utc_dt = datetime(2002, 10, 27, 6, 0, 0, tzinfo=utc)\n>>> loc_dt = utc_dt.astimezone(eastern)\n>>> loc_dt.strftime(fmt)\n'2002-10-27 01:00:00 EST-0500'\n\nThis library also allows you to do date arithmetic using local\ntimes, although it is more complicated than working in UTC as you\nneed to use the ``normalize()`` method to handle daylight saving time\nand other timezone transitions. In this example, ``loc_dt`` is set\nto the instant when daylight saving time ends in the US/Eastern\ntimezone.\n\n>>> before = loc_dt - timedelta(minutes=10)\n>>> before.strftime(fmt)\n'2002-10-27 00:50:00 EST-0500'\n>>> eastern.normalize(before).strftime(fmt)\n'2002-10-27 01:50:00 EDT-0400'\n>>> after = eastern.normalize(before + timedelta(minutes=20))\n>>> after.strftime(fmt)\n'2002-10-27 01:10:00 EST-0500'\n\nCreating local times is also tricky, and the reason why working with\nlocal times is not recommended. Unfortunately, you cannot just pass\na ``tzinfo`` argument when constructing a datetime (see the next\nsection for more details)\n\n>>> dt = datetime(2002, 10, 27, 1, 30, 0)\n>>> dt1 = eastern.localize(dt, is_dst=True)\n>>> dt1.strftime(fmt)\n'2002-10-27 01:30:00 EDT-0400'\n>>> dt2 = eastern.localize(dt, is_dst=False)\n>>> dt2.strftime(fmt)\n'2002-10-27 01:30:00 EST-0500'\n\nConverting between timezones is more easily done, using the\nstandard astimezone method.\n\n>>> utc_dt = datetime.fromtimestamp(1143408899, tz=utc)\n>>> utc_dt.strftime(fmt)\n'2006-03-26 21:34:59 UTC+0000'\n>>> au_tz = timezone('Australia/Sydney')\n>>> au_dt = utc_dt.astimezone(au_tz)\n>>> au_dt.strftime(fmt)\n'2006-03-27 08:34:59 AEDT+1100'\n>>> utc_dt2 = au_dt.astimezone(utc)\n>>> utc_dt2.strftime(fmt)\n'2006-03-26 21:34:59 UTC+0000'\n>>> utc_dt == utc_dt2\nTrue\n\nYou can take shortcuts when dealing with the UTC side of timezone\nconversions. ``normalize()`` and ``localize()`` are not really\nnecessary when there are no daylight saving time transitions to\ndeal with.\n\n>>> utc_dt = datetime.fromtimestamp(1143408899, tz=utc)\n>>> utc_dt.strftime(fmt)\n'2006-03-26 21:34:59 UTC+0000'\n>>> au_tz = timezone('Australia/Sydney')\n>>> au_dt = au_tz.normalize(utc_dt.astimezone(au_tz))\n>>> au_dt.strftime(fmt)\n'2006-03-27 08:34:59 AEDT+1100'\n>>> utc_dt2 = au_dt.astimezone(utc)\n>>> utc_dt2.strftime(fmt)\n'2006-03-26 21:34:59 UTC+0000'\n\n\n``tzinfo`` API\n--------------\n\nThe ``tzinfo`` instances returned by the ``timezone()`` function have\nbeen extended to cope with ambiguous times by adding an ``is_dst``\nparameter to the ``utcoffset()``, ``dst()`` && ``tzname()`` methods.\n\n>>> tz = timezone('America/St_Johns')\n\n>>> normal = datetime(2009, 9, 1)\n>>> ambiguous = datetime(2009, 10, 31, 23, 30)\n\nThe ``is_dst`` parameter is ignored for most timestamps. It is only used\nduring DST transition ambiguous periods to resolve that ambiguity.\n\n>>> print(tz.utcoffset(normal, is_dst=True))\n-1 day, 21:30:00\n>>> print(tz.dst(normal, is_dst=True))\n1:00:00\n>>> tz.tzname(normal, is_dst=True)\n'NDT'\n\n>>> print(tz.utcoffset(ambiguous, is_dst=True))\n-1 day, 21:30:00\n>>> print(tz.dst(ambiguous, is_dst=True))\n1:00:00\n>>> tz.tzname(ambiguous, is_dst=True)\n'NDT'\n\n>>> print(tz.utcoffset(normal, is_dst=False))\n-1 day, 21:30:00\n>>> tz.dst(normal, is_dst=False).seconds\n3600\n>>> tz.tzname(normal, is_dst=False)\n'NDT'\n\n>>> print(tz.utcoffset(ambiguous, is_dst=False))\n-1 day, 20:30:00\n>>> tz.dst(ambiguous, is_dst=False)\ndatetime.timedelta(0)\n>>> tz.tzname(ambiguous, is_dst=False)\n'NST'\n\nIf ``is_dst`` is not specified, ambiguous timestamps will raise\nan ``pytz.exceptions.AmbiguousTimeError`` exception.\n\n>>> print(tz.utcoffset(normal))\n-1 day, 21:30:00\n>>> print(tz.dst(normal))\n1:00:00\n>>> tz.tzname(normal)\n'NDT'\n\n>>> import pytz.exceptions\n>>> try:\n...     tz.utcoffset(ambiguous)\n... except pytz.exceptions.AmbiguousTimeError:\n...     print('pytz.exceptions.AmbiguousTimeError: %s' % ambiguous)\npytz.exceptions.AmbiguousTimeError: 2009-10-31 23:30:00\n>>> try:\n...     tz.dst(ambiguous)\n... except pytz.exceptions.AmbiguousTimeError:\n...     print('pytz.exceptions.AmbiguousTimeError: %s' % ambiguous)\npytz.exceptions.AmbiguousTimeError: 2009-10-31 23:30:00\n>>> try:\n...     tz.tzname(ambiguous)\n... except pytz.exceptions.AmbiguousTimeError:\n...     print('pytz.exceptions.AmbiguousTimeError: %s' % ambiguous)\npytz.exceptions.AmbiguousTimeError: 2009-10-31 23:30:00\n\n\nProblems with Localtime\n~~~~~~~~~~~~~~~~~~~~~~~\n\nThe major problem we have to deal with is that certain datetimes\nmay occur twice in a year. For example, in the US/Eastern timezone\non the last Sunday morning in October, the following sequence\nhappens:\n\n    - 01:00 EDT occurs\n    - 1 hour later, instead of 2:00am the clock is turned back 1 hour\n      and 01:00 happens again (this time 01:00 EST)\n\nIn fact, every instant between 01:00 and 02:00 occurs twice. This means\nthat if you try and create a time in the 'US/Eastern' timezone\nthe standard datetime syntax, there is no way to specify if you meant\nbefore of after the end-of-daylight-saving-time transition. Using the\npytz custom syntax, the best you can do is make an educated guess:\n\n>>> loc_dt = eastern.localize(datetime(2002, 10, 27, 1, 30, 00))\n>>> loc_dt.strftime(fmt)\n'2002-10-27 01:30:00 EST-0500'\n\nAs you can see, the system has chosen one for you and there is a 50%\nchance of it being out by one hour. For some applications, this does\nnot matter. However, if you are trying to schedule meetings with people\nin different timezones or analyze log files it is not acceptable.\n\nThe best and simplest solution is to stick with using UTC.  The pytz\npackage encourages using UTC for internal timezone representation by\nincluding a special UTC implementation based on the standard Python\nreference implementation in the Python documentation.\n\nThe UTC timezone unpickles to be the same instance, and pickles to a\nsmaller size than other pytz tzinfo instances.  The UTC implementation\ncan be obtained as pytz.utc, pytz.UTC, or pytz.timezone('UTC').\n\n>>> import pickle, pytz\n>>> dt = datetime(2005, 3, 1, 14, 13, 21, tzinfo=utc)\n>>> naive = dt.replace(tzinfo=None)\n>>> p = pickle.dumps(dt, 1)\n>>> naive_p = pickle.dumps(naive, 1)\n>>> len(p) - len(naive_p)\n17\n>>> new = pickle.loads(p)\n>>> new == dt\nTrue\n>>> new is dt\nFalse\n>>> new.tzinfo is dt.tzinfo\nTrue\n>>> pytz.utc is pytz.UTC is pytz.timezone('UTC')\nTrue\n\nNote that some other timezones are commonly thought of as the same (GMT,\nGreenwich, Universal, etc.). The definition of UTC is distinct from these\nother timezones, and they are not equivalent. For this reason, they will\nnot compare the same in Python.\n\n>>> utc == pytz.timezone('GMT')\nFalse\n\nSee the section `What is UTC`_, below.\n\nIf you insist on working with local times, this library provides a\nfacility for constructing them unambiguously:\n\n>>> loc_dt = datetime(2002, 10, 27, 1, 30, 00)\n>>> est_dt = eastern.localize(loc_dt, is_dst=True)\n>>> edt_dt = eastern.localize(loc_dt, is_dst=False)\n>>> print(est_dt.strftime(fmt) + ' / ' + edt_dt.strftime(fmt))\n2002-10-27 01:30:00 EDT-0400 / 2002-10-27 01:30:00 EST-0500\n\nIf you pass None as the is_dst flag to localize(), pytz will refuse to\nguess and raise exceptions if you try to build ambiguous or non-existent\ntimes.\n\nFor example, 1:30am on 27th Oct 2002 happened twice in the US/Eastern\ntimezone when the clocks where put back at the end of Daylight Saving\nTime:\n\n>>> dt = datetime(2002, 10, 27, 1, 30, 00)\n>>> try:\n...     eastern.localize(dt, is_dst=None)\n... except pytz.exceptions.AmbiguousTimeError:\n...     print('pytz.exceptions.AmbiguousTimeError: %s' % dt)\npytz.exceptions.AmbiguousTimeError: 2002-10-27 01:30:00\n\nSimilarly, 2:30am on 7th April 2002 never happened at all in the\nUS/Eastern timezone, as the clocks where put forward at 2:00am skipping\nthe entire hour:\n\n>>> dt = datetime(2002, 4, 7, 2, 30, 00)\n>>> try:\n...     eastern.localize(dt, is_dst=None)\n... except pytz.exceptions.NonExistentTimeError:\n...     print('pytz.exceptions.NonExistentTimeError: %s' % dt)\npytz.exceptions.NonExistentTimeError: 2002-04-07 02:30:00\n\nBoth of these exceptions share a common base class to make error handling\neasier:\n\n>>> isinstance(pytz.AmbiguousTimeError(), pytz.InvalidTimeError)\nTrue\n>>> isinstance(pytz.NonExistentTimeError(), pytz.InvalidTimeError)\nTrue\n\n\nA special case is where countries change their timezone definitions\nwith no daylight savings time switch. For example, in 1915 Warsaw\nswitched from Warsaw time to Central European time with no daylight savings\ntransition. So at the stroke of midnight on August 5th 1915 the clocks\nwere wound back 24 minutes creating an ambiguous time period that cannot\nbe specified without referring to the timezone abbreviation or the\nactual UTC offset. In this case midnight happened twice, neither time\nduring a daylight saving time period. pytz handles this transition by\ntreating the ambiguous period before the switch as daylight savings\ntime, and the ambiguous period after as standard time.\n\n\n>>> warsaw = pytz.timezone('Europe/Warsaw')\n>>> amb_dt1 = warsaw.localize(datetime(1915, 8, 4, 23, 59, 59), is_dst=True)\n>>> amb_dt1.strftime(fmt)\n'1915-08-04 23:59:59 WMT+0124'\n>>> amb_dt2 = warsaw.localize(datetime(1915, 8, 4, 23, 59, 59), is_dst=False)\n>>> amb_dt2.strftime(fmt)\n'1915-08-04 23:59:59 CET+0100'\n>>> switch_dt = warsaw.localize(datetime(1915, 8, 5, 00, 00, 00), is_dst=False)\n>>> switch_dt.strftime(fmt)\n'1915-08-05 00:00:00 CET+0100'\n>>> str(switch_dt - amb_dt1)\n'0:24:01'\n>>> str(switch_dt - amb_dt2)\n'0:00:01'\n\nThe best way of creating a time during an ambiguous time period is\nby converting from another timezone such as UTC:\n\n>>> utc_dt = datetime(1915, 8, 4, 22, 36, tzinfo=pytz.utc)\n>>> utc_dt.astimezone(warsaw).strftime(fmt)\n'1915-08-04 23:36:00 CET+0100'\n\nThe standard Python way of handling all these ambiguities is not to\nhandle them, such as demonstrated in this example using the US/Eastern\ntimezone definition from the Python documentation (Note that this\nimplementation only works for dates between 1987 and 2006 - it is\nincluded for tests only!):\n\n>>> from pytz.reference import Eastern # pytz.reference only for tests\n>>> dt = datetime(2002, 10, 27, 0, 30, tzinfo=Eastern)\n>>> str(dt)\n'2002-10-27 00:30:00-04:00'\n>>> str(dt + timedelta(hours=1))\n'2002-10-27 01:30:00-05:00'\n>>> str(dt + timedelta(hours=2))\n'2002-10-27 02:30:00-05:00'\n>>> str(dt + timedelta(hours=3))\n'2002-10-27 03:30:00-05:00'\n\nNotice the first two results? At first glance you might think they are\ncorrect, but taking the UTC offset into account you find that they are\nactually two hours appart instead of the 1 hour we asked for.\n\n>>> from pytz.reference import UTC # pytz.reference only for tests\n>>> str(dt.astimezone(UTC))\n'2002-10-27 04:30:00+00:00'\n>>> str((dt + timedelta(hours=1)).astimezone(UTC))\n'2002-10-27 06:30:00+00:00'\n\n\nCountry Information\n~~~~~~~~~~~~~~~~~~~\n\nA mechanism is provided to access the timezones commonly in use\nfor a particular country, looked up using the ISO 3166 country code.\nIt returns a list of strings that can be used to retrieve the relevant\ntzinfo instance using ``pytz.timezone()``:\n\n>>> print(' '.join(pytz.country_timezones['nz']))\nPacific/Auckland Pacific/Chatham\n\nThe Olson database comes with a ISO 3166 country code to English country\nname mapping that pytz exposes as a dictionary:\n\n>>> print(pytz.country_names['nz'])\nNew Zealand\n\n\nWhat is UTC\n~~~~~~~~~~~\n\n'UTC' is `Coordinated Universal Time`_. It is a successor to, but distinct\nfrom, Greenwich Mean Time (GMT) and the various definitions of Universal\nTime. UTC is now the worldwide standard for regulating clocks and time\nmeasurement.\n\nAll other timezones are defined relative to UTC, and include offsets like\nUTC+0800 - hours to add or subtract from UTC to derive the local time. No\ndaylight saving time occurs in UTC, making it a useful timezone to perform\ndate arithmetic without worrying about the confusion and ambiguities caused\nby daylight saving time transitions, your country changing its timezone, or\nmobile computers that roam through multiple timezones.\n\n..  _Coordinated Universal Time: https://en.wikipedia.org/wiki/Coordinated_Universal_Time\n\n\nHelpers\n~~~~~~~\n\nThere are two lists of timezones provided.\n\n``all_timezones`` is the exhaustive list of the timezone names that can\nbe used.\n\n>>> from pytz import all_timezones\n>>> len(all_timezones) >= 500\nTrue\n>>> 'Etc/Greenwich' in all_timezones\nTrue\n\n``common_timezones`` is a list of useful, current timezones. It doesn't\ncontain deprecated zones or historical zones, except for a few I've\ndeemed in common usage, such as US/Eastern (open a bug report if you\nthink other timezones are deserving of being included here). It is also\na sequence of strings.\n\n>>> from pytz import common_timezones\n>>> len(common_timezones) < len(all_timezones)\nTrue\n>>> 'Etc/Greenwich' in common_timezones\nFalse\n>>> 'Australia/Melbourne' in common_timezones\nTrue\n>>> 'US/Eastern' in common_timezones\nTrue\n>>> 'Canada/Eastern' in common_timezones\nTrue\n>>> 'Australia/Yancowinna' in all_timezones\nTrue\n>>> 'Australia/Yancowinna' in common_timezones\nFalse\n\nBoth ``common_timezones`` and ``all_timezones`` are alphabetically\nsorted:\n\n>>> common_timezones_dupe = common_timezones[:]\n>>> common_timezones_dupe.sort()\n>>> common_timezones == common_timezones_dupe\nTrue\n>>> all_timezones_dupe = all_timezones[:]\n>>> all_timezones_dupe.sort()\n>>> all_timezones == all_timezones_dupe\nTrue\n\n``all_timezones`` and ``common_timezones`` are also available as sets.\n\n>>> from pytz import all_timezones_set, common_timezones_set\n>>> 'US/Eastern' in all_timezones_set\nTrue\n>>> 'US/Eastern' in common_timezones_set\nTrue\n>>> 'Australia/Victoria' in common_timezones_set\nFalse\n\nYou can also retrieve lists of timezones used by particular countries\nusing the ``country_timezones()`` function. It requires an ISO-3166\ntwo letter country code.\n\n>>> from pytz import country_timezones\n>>> print(' '.join(country_timezones('ch')))\nEurope/Zurich\n>>> print(' '.join(country_timezones('CH')))\nEurope/Zurich\n\n\nInternationalization - i18n/l10n\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nPytz is an interface to the IANA database, which uses ASCII names. The `Unicode  Consortium's Unicode Locales (CLDR) <http://cldr.unicode.org>`_\nproject provides translations. Python packages such as\n`Babel <https://babel.pocoo.org/en/latest/api/dates.html#timezone-functionality>`_\nand Thomas Khyn's `l18n <https://pypi.org/project/l18n/>`_ package can be used\nto access these translations from Python.\n\n\nLicense\n~~~~~~~\n\nMIT license.\n\nThis code is also available as part of Zope 3 under the Zope Public\nLicense,  Version 2.1 (ZPL).\n\nI'm happy to relicense this code if necessary for inclusion in other\nopen source projects.\n\n\nLatest Versions\n~~~~~~~~~~~~~~~\n\nThis package will be updated after releases of the Olson timezone\ndatabase.  The latest version can be downloaded from the `Python Package\nIndex <https://pypi.org/project/pytz/>`_.  The code that is used\nto generate this distribution is hosted on Github and available\nusing git::\n\n    git clone https://github.com/stub42/pytz.git\n\nAnnouncements of new releases are made on\n`Launchpad <https://launchpad.net/pytz>`_, and the\n`Atom feed <http://feeds.launchpad.net/pytz/announcements.atom>`_\nhosted there.\n\n\nBugs, Feature Requests & Patches\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nBugs should be reported on `Github <https://github.com/stub42/pytz/issues>`_.\nFeature requests are unlikely to be considered, and efforts instead directed\nto timezone support now built into Python or packages that work with it.\n\n\nSecurity Issues\n~~~~~~~~~~~~~~~\n\nReports about security issues can be made via `Tidelift <https://tidelift.com/security>`_.\n\n\nIssues & Limitations\n~~~~~~~~~~~~~~~~~~~~\n\n- This project is in maintenance mode. Projects using Python 3.9 or later\n  are best served by using the timezone functionaly now included in core\n  Python and packages that work with it such as `tzdata <https://pypi.org/project/tzdata/>`_.\n\n- Offsets from UTC are rounded to the nearest whole minute, so timezones\n  such as Europe/Amsterdam pre 1937 will be up to 30 seconds out. This\n  was a limitation of the Python datetime library.\n\n- If you think a timezone definition is incorrect, I probably can't fix\n  it. pytz is a direct translation of the Olson timezone database, and\n  changes to the timezone definitions need to be made to this source.\n  If you find errors they should be reported to the time zone mailing\n  list, linked from http://www.iana.org/time-zones.\n\n\nFurther Reading\n~~~~~~~~~~~~~~~\n\nMore info than you want to know about timezones:\nhttps://data.iana.org/time-zones/tz-link.html\n\n\nContact\n~~~~~~~\n\nStuart Bishop <stuart@stuartbishop.net>",
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      "description": "Python client for Redis key-value store\nredis-py\n========\n\nThe Python interface to the Redis key-value store.\n\n.. image:: https://secure.travis-ci.org/andymccurdy/redis-py.svg?branch=master\n        :target: https://travis-ci.org/andymccurdy/redis-py\n.. image:: https://readthedocs.org/projects/redis-py/badge/?version=stable&style=flat\n        :target: https://redis-py.readthedocs.io/en/stable/\n.. image:: https://badge.fury.io/py/redis.svg\n        :target: https://pypi.org/project/redis/\n.. image:: https://codecov.io/gh/andymccurdy/redis-py/branch/master/graph/badge.svg\n  :target: https://codecov.io/gh/andymccurdy/redis-py\n\n\nPython 2 Compatibility Note\n---------------------------\n\nredis-py 3.5.x will be the last version of redis-py that supports Python 2.\nThe 3.5.x line will continue to get bug fixes and security patches that\nsupport Python 2 until August 1, 2020. redis-py 4.0 will be the next major\nversion and will require Python 3.5+.\n\n\nInstallation\n------------\n\nredis-py requires a running Redis server. See `Redis's quickstart\n<https://redis.io/topics/quickstart>`_ for installation instructions.\n\nredis-py can be installed using `pip` similar to other Python packages. Do not use `sudo`\nwith `pip`. It is usually good to work in a\n`virtualenv <https://virtualenv.pypa.io/en/latest/>`_ or\n`venv <https://docs.python.org/3/library/venv.html>`_ to avoid conflicts with other package\nmanagers and Python projects. For a quick introduction see\n`Python Virtual Environments in Five Minutes <https://bit.ly/py-env>`_.\n\nTo install redis-py, simply:\n\n.. code-block:: bash\n\n    $ pip install redis\n\nor from source:\n\n.. code-block:: bash\n\n    $ python setup.py install\n\n\nGetting Started\n---------------\n\n.. code-block:: pycon\n\n    >>> import redis\n    >>> r = redis.Redis(host='localhost', port=6379, db=0)\n    >>> r.set('foo', 'bar')\n    True\n    >>> r.get('foo')\n    b'bar'\n\nBy default, all responses are returned as `bytes` in Python 3 and `str` in\nPython 2. The user is responsible for decoding to Python 3 strings or Python 2\nunicode objects.\n\nIf **all** string responses from a client should be decoded, the user can\nspecify `decode_responses=True` to `Redis.__init__`. In this case, any\nRedis command that returns a string type will be decoded with the `encoding`\nspecified.\n\n\nUpgrading from redis-py 2.X to 3.0\n----------------------------------\n\nredis-py 3.0 introduces many new features but required a number of backwards\nincompatible changes to be made in the process. This section attempts to\nprovide an upgrade path for users migrating from 2.X to 3.0.\n\n\nPython Version Support\n^^^^^^^^^^^^^^^^^^^^^^\n\nredis-py 3.0 supports Python 2.7 and Python 3.5+.\n\n\nClient Classes: Redis and StrictRedis\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\nredis-py 3.0 drops support for the legacy \"Redis\" client class. \"StrictRedis\"\nhas been renamed to \"Redis\" and an alias named \"StrictRedis\" is provided so\nthat users previously using \"StrictRedis\" can continue to run unchanged.\n\nThe 2.X \"Redis\" class provided alternative implementations of a few commands.\nThis confused users (rightfully so) and caused a number of support issues. To\nmake things easier going forward, it was decided to drop support for these\nalternate implementations and instead focus on a single client class.\n\n2.X users that are already using StrictRedis don't have to change the class\nname. StrictRedis will continue to work for the foreseeable future.\n\n2.X users that are using the Redis class will have to make changes if they\nuse any of the following commands:\n\n* SETEX: The argument order has changed. The new order is (name, time, value).\n* LREM: The argument order has changed. The new order is (name, num, value).\n* TTL and PTTL: The return value is now always an int and matches the\n  official Redis command (>0 indicates the timeout, -1 indicates that the key\n  exists but that it has no expire time set, -2 indicates that the key does\n  not exist)\n\n\nSSL Connections\n^^^^^^^^^^^^^^^\n\nredis-py 3.0 changes the default value of the `ssl_cert_reqs` option from\n`None` to `'required'`. See\n`Issue 1016 <https://github.com/andymccurdy/redis-py/issues/1016>`_. This\nchange enforces hostname validation when accepting a cert from a remote SSL\nterminator. If the terminator doesn't properly set the hostname on the cert\nthis will cause redis-py 3.0 to raise a ConnectionError.\n\nThis check can be disabled by setting `ssl_cert_reqs` to `None`. Note that\ndoing so removes the security check. Do so at your own risk.\n\nIt has been reported that SSL certs received from AWS ElastiCache do not have\nproper hostnames and turning off hostname verification is currently required.\n\n\nMSET, MSETNX and ZADD\n^^^^^^^^^^^^^^^^^^^^^\n\nThese commands all accept a mapping of key/value pairs. In redis-py 2.X\nthis mapping could be specified as ``*args`` or as ``**kwargs``. Both of these\nstyles caused issues when Redis introduced optional flags to ZADD. Relying on\n``*args`` caused issues with the optional argument order, especially in Python\n2.7. Relying on ``**kwargs`` caused potential collision issues of user keys with\nthe argument names in the method signature.\n\nTo resolve this, redis-py 3.0 has changed these three commands to all accept\na single positional argument named mapping that is expected to be a dict. For\nMSET and MSETNX, the dict is a mapping of key-names -> values. For ZADD, the\ndict is a mapping of element-names -> score.\n\nMSET, MSETNX and ZADD now look like:\n\n.. code-block:: python\n\n    def mset(self, mapping):\n    def msetnx(self, mapping):\n    def zadd(self, name, mapping, nx=False, xx=False, ch=False, incr=False):\n\nAll 2.X users that use these commands must modify their code to supply\nkeys and values as a dict to these commands.\n\n\nZINCRBY\n^^^^^^^\n\nredis-py 2.X accidentally modified the argument order of ZINCRBY, swapping the\norder of value and amount. ZINCRBY now looks like:\n\n.. code-block:: python\n\n    def zincrby(self, name, amount, value):\n\nAll 2.X users that rely on ZINCRBY must swap the order of amount and value\nfor the command to continue to work as intended.\n\n\nEncoding of User Input\n^^^^^^^^^^^^^^^^^^^^^^\n\nredis-py 3.0 only accepts user data as bytes, strings or numbers (ints, longs\nand floats). Attempting to specify a key or a value as any other type will\nraise a DataError exception.\n\nredis-py 2.X attempted to coerce any type of input into a string. While\noccasionally convenient, this caused all sorts of hidden errors when users\npassed boolean values (which were coerced to 'True' or 'False'), a None\nvalue (which was coerced to 'None') or other values, such as user defined\ntypes.\n\nAll 2.X users should make sure that the keys and values they pass into\nredis-py are either bytes, strings or numbers.\n\n\nLocks\n^^^^^\n\nredis-py 3.0 drops support for the pipeline-based Lock and now only supports\nthe Lua-based lock. In doing so, LuaLock has been renamed to Lock. This also\nmeans that redis-py Lock objects require Redis server 2.6 or greater.\n\n2.X users that were explicitly referring to \"LuaLock\" will have to now refer\nto \"Lock\" instead.\n\n\nLocks as Context Managers\n^^^^^^^^^^^^^^^^^^^^^^^^^\n\nredis-py 3.0 now raises a LockError when using a lock as a context manager and\nthe lock cannot be acquired within the specified timeout. This is more of a\nbug fix than a backwards incompatible change. However, given an error is now\nraised where none was before, this might alarm some users.\n\n2.X users should make sure they're wrapping their lock code in a try/catch\nlike this:\n\n.. code-block:: python\n\n    try:\n        with r.lock('my-lock-key', blocking_timeout=5) as lock:\n            # code you want executed only after the lock has been acquired\n    except LockError:\n        # the lock wasn't acquired\n\n\nAPI Reference\n-------------\n\nThe `official Redis command documentation <https://redis.io/commands>`_ does a\ngreat job of explaining each command in detail. redis-py attempts to adhere\nto the official command syntax. There are a few exceptions:\n\n* **SELECT**: Not implemented. See the explanation in the Thread Safety section\n  below.\n* **DEL**: 'del' is a reserved keyword in the Python syntax. Therefore redis-py\n  uses 'delete' instead.\n* **MULTI/EXEC**: These are implemented as part of the Pipeline class. The\n  pipeline is wrapped with the MULTI and EXEC statements by default when it\n  is executed, which can be disabled by specifying transaction=False.\n  See more about Pipelines below.\n* **SUBSCRIBE/LISTEN**: Similar to pipelines, PubSub is implemented as a separate\n  class as it places the underlying connection in a state where it can't\n  execute non-pubsub commands. Calling the pubsub method from the Redis client\n  will return a PubSub instance where you can subscribe to channels and listen\n  for messages. You can only call PUBLISH from the Redis client (see\n  `this comment on issue #151\n  <https://github.com/andymccurdy/redis-py/issues/151#issuecomment-1545015>`_\n  for details).\n* **SCAN/SSCAN/HSCAN/ZSCAN**: The \\*SCAN commands are implemented as they\n  exist in the Redis documentation. In addition, each command has an equivalent\n  iterator method. These are purely for convenience so the user doesn't have\n  to keep track of the cursor while iterating. Use the\n  scan_iter/sscan_iter/hscan_iter/zscan_iter methods for this behavior.\n\n\nMore Detail\n-----------\n\nConnection Pools\n^^^^^^^^^^^^^^^^\n\nBehind the scenes, redis-py uses a connection pool to manage connections to\na Redis server. By default, each Redis instance you create will in turn create\nits own connection pool. You can override this behavior and use an existing\nconnection pool by passing an already created connection pool instance to the\nconnection_pool argument of the Redis class. You may choose to do this in order\nto implement client side sharding or have fine-grain control of how\nconnections are managed.\n\n.. code-block:: pycon\n\n    >>> pool = redis.ConnectionPool(host='localhost', port=6379, db=0)\n    >>> r = redis.Redis(connection_pool=pool)\n\nConnections\n^^^^^^^^^^^\n\nConnectionPools manage a set of Connection instances. redis-py ships with two\ntypes of Connections. The default, Connection, is a normal TCP socket based\nconnection. The UnixDomainSocketConnection allows for clients running on the\nsame device as the server to connect via a unix domain socket. To use a\nUnixDomainSocketConnection connection, simply pass the unix_socket_path\nargument, which is a string to the unix domain socket file. Additionally, make\nsure the unixsocket parameter is defined in your redis.conf file. It's\ncommented out by default.\n\n.. code-block:: pycon\n\n    >>> r = redis.Redis(unix_socket_path='/tmp/redis.sock')\n\nYou can create your own Connection subclasses as well. This may be useful if\nyou want to control the socket behavior within an async framework. To\ninstantiate a client class using your own connection, you need to create\na connection pool, passing your class to the connection_class argument.\nOther keyword parameters you pass to the pool will be passed to the class\nspecified during initialization.\n\n.. code-block:: pycon\n\n    >>> pool = redis.ConnectionPool(connection_class=YourConnectionClass,\n                                    your_arg='...', ...)\n\nConnections maintain an open socket to the Redis server. Sometimes these\nsockets are interrupted or disconnected for a variety of reasons. For example,\nnetwork appliances, load balancers and other services that sit between clients\nand servers are often configured to kill connections that remain idle for a\ngiven threshold.\n\nWhen a connection becomes disconnected, the next command issued on that\nconnection will fail and redis-py will raise a ConnectionError to the caller.\nThis allows each application that uses redis-py to handle errors in a way\nthat's fitting for that specific application. However, constant error\nhandling can be verbose and cumbersome, especially when socket disconnections\nhappen frequently in many production environments.\n\nTo combat this, redis-py can issue regular health checks to assess the\nliveliness of a connection just before issuing a command. Users can pass\n``health_check_interval=N`` to the Redis or ConnectionPool classes or\nas a query argument within a Redis URL. The value of ``health_check_interval``\nmust be an integer. A value of ``0``, the default, disables health checks.\nAny positive integer will enable health checks. Health checks are performed\njust before a command is executed if the underlying connection has been idle\nfor more than ``health_check_interval`` seconds. For example,\n``health_check_interval=30`` will ensure that a health check is run on any\nconnection that has been idle for 30 or more seconds just before a command\nis executed on that connection.\n\nIf your application is running in an environment that disconnects idle\nconnections after 30 seconds you should set the ``health_check_interval``\noption to a value less than 30.\n\nThis option also works on any PubSub connection that is created from a\nclient with ``health_check_interval`` enabled. PubSub users need to ensure\nthat ``get_message()`` or ``listen()`` are called more frequently than\n``health_check_interval`` seconds. It is assumed that most workloads already\ndo this.\n\nIf your PubSub use case doesn't call ``get_message()`` or ``listen()``\nfrequently, you should call ``pubsub.check_health()`` explicitly on a\nregularly basis.\n\nParsers\n^^^^^^^\n\nParser classes provide a way to control how responses from the Redis server\nare parsed. redis-py ships with two parser classes, the PythonParser and the\nHiredisParser. By default, redis-py will attempt to use the HiredisParser if\nyou have the hiredis module installed and will fallback to the PythonParser\notherwise.\n\nHiredis is a C library maintained by the core Redis team. Pieter Noordhuis was\nkind enough to create Python bindings. Using Hiredis can provide up to a\n10x speed improvement in parsing responses from the Redis server. The\nperformance increase is most noticeable when retrieving many pieces of data,\nsuch as from LRANGE or SMEMBERS operations.\n\nHiredis is available on PyPI, and can be installed via pip just like redis-py.\n\n.. code-block:: bash\n\n    $ pip install hiredis\n\nResponse Callbacks\n^^^^^^^^^^^^^^^^^^\n\nThe client class uses a set of callbacks to cast Redis responses to the\nappropriate Python type. There are a number of these callbacks defined on\nthe Redis client class in a dictionary called RESPONSE_CALLBACKS.\n\nCustom callbacks can be added on a per-instance basis using the\nset_response_callback method. This method accepts two arguments: a command\nname and the callback. Callbacks added in this manner are only valid on the\ninstance the callback is added to. If you want to define or override a callback\nglobally, you should make a subclass of the Redis client and add your callback\nto its RESPONSE_CALLBACKS class dictionary.\n\nResponse callbacks take at least one parameter: the response from the Redis\nserver. Keyword arguments may also be accepted in order to further control\nhow to interpret the response. These keyword arguments are specified during the\ncommand's call to execute_command. The ZRANGE implementation demonstrates the\nuse of response callback keyword arguments with its \"withscores\" argument.\n\nThread Safety\n^^^^^^^^^^^^^\n\nRedis client instances can safely be shared between threads. Internally,\nconnection instances are only retrieved from the connection pool during\ncommand execution, and returned to the pool directly after. Command execution\nnever modifies state on the client instance.\n\nHowever, there is one caveat: the Redis SELECT command. The SELECT command\nallows you to switch the database currently in use by the connection. That\ndatabase remains selected until another is selected or until the connection is\nclosed. This creates an issue in that connections could be returned to the pool\nthat are connected to a different database.\n\nAs a result, redis-py does not implement the SELECT command on client\ninstances. If you use multiple Redis databases within the same application, you\nshould create a separate client instance (and possibly a separate connection\npool) for each database.\n\nIt is not safe to pass PubSub or Pipeline objects between threads.\n\nPipelines\n^^^^^^^^^\n\nPipelines are a subclass of the base Redis class that provide support for\nbuffering multiple commands to the server in a single request. They can be used\nto dramatically increase the performance of groups of commands by reducing the\nnumber of back-and-forth TCP packets between the client and server.\n\nPipelines are quite simple to use:\n\n.. code-block:: pycon\n\n    >>> r = redis.Redis(...)\n    >>> r.set('bing', 'baz')\n    >>> # Use the pipeline() method to create a pipeline instance\n    >>> pipe = r.pipeline()\n    >>> # The following SET commands are buffered\n    >>> pipe.set('foo', 'bar')\n    >>> pipe.get('bing')\n    >>> # the EXECUTE call sends all buffered commands to the server, returning\n    >>> # a list of responses, one for each command.\n    >>> pipe.execute()\n    [True, b'baz']\n\nFor ease of use, all commands being buffered into the pipeline return the\npipeline object itself. Therefore calls can be chained like:\n\n.. code-block:: pycon\n\n    >>> pipe.set('foo', 'bar').sadd('faz', 'baz').incr('auto_number').execute()\n    [True, True, 6]\n\nIn addition, pipelines can also ensure the buffered commands are executed\natomically as a group. This happens by default. If you want to disable the\natomic nature of a pipeline but still want to buffer commands, you can turn\noff transactions.\n\n.. code-block:: pycon\n\n    >>> pipe = r.pipeline(transaction=False)\n\nA common issue occurs when requiring atomic transactions but needing to\nretrieve values in Redis prior for use within the transaction. For instance,\nlet's assume that the INCR command didn't exist and we need to build an atomic\nversion of INCR in Python.\n\nThe completely naive implementation could GET the value, increment it in\nPython, and SET the new value back. However, this is not atomic because\nmultiple clients could be doing this at the same time, each getting the same\nvalue from GET.\n\nEnter the WATCH command. WATCH provides the ability to monitor one or more keys\nprior to starting a transaction. If any of those keys change prior the\nexecution of that transaction, the entire transaction will be canceled and a\nWatchError will be raised. To implement our own client-side INCR command, we\ncould do something like this:\n\n.. code-block:: pycon\n\n    >>> with r.pipeline() as pipe:\n    ...     while True:\n    ...         try:\n    ...             # put a WATCH on the key that holds our sequence value\n    ...             pipe.watch('OUR-SEQUENCE-KEY')\n    ...             # after WATCHing, the pipeline is put into immediate execution\n    ...             # mode until we tell it to start buffering commands again.\n    ...             # this allows us to get the current value of our sequence\n    ...             current_value = pipe.get('OUR-SEQUENCE-KEY')\n    ...             next_value = int(current_value) + 1\n    ...             # now we can put the pipeline back into buffered mode with MULTI\n    ...             pipe.multi()\n    ...             pipe.set('OUR-SEQUENCE-KEY', next_value)\n    ...             # and finally, execute the pipeline (the set command)\n    ...             pipe.execute()\n    ...             # if a WatchError wasn't raised during execution, everything\n    ...             # we just did happened atomically.\n    ...             break\n    ...        except WatchError:\n    ...             # another client must have changed 'OUR-SEQUENCE-KEY' between\n    ...             # the time we started WATCHing it and the pipeline's execution.\n    ...             # our best bet is to just retry.\n    ...             continue\n\nNote that, because the Pipeline must bind to a single connection for the\nduration of a WATCH, care must be taken to ensure that the connection is\nreturned to the connection pool by calling the reset() method. If the\nPipeline is used as a context manager (as in the example above) reset()\nwill be called automatically. Of course you can do this the manual way by\nexplicitly calling reset():\n\n.. code-block:: pycon\n\n    >>> pipe = r.pipeline()\n    >>> while True:\n    ...     try:\n    ...         pipe.watch('OUR-SEQUENCE-KEY')\n    ...         ...\n    ...         pipe.execute()\n    ...         break\n    ...     except WatchError:\n    ...         continue\n    ...     finally:\n    ...         pipe.reset()\n\nA convenience method named \"transaction\" exists for handling all the\nboilerplate of handling and retrying watch errors. It takes a callable that\nshould expect a single parameter, a pipeline object, and any number of keys to\nbe WATCHed. Our client-side INCR command above can be written like this,\nwhich is much easier to read:\n\n.. code-block:: pycon\n\n    >>> def client_side_incr(pipe):\n    ...     current_value = pipe.get('OUR-SEQUENCE-KEY')\n    ...     next_value = int(current_value) + 1\n    ...     pipe.multi()\n    ...     pipe.set('OUR-SEQUENCE-KEY', next_value)\n    >>>\n    >>> r.transaction(client_side_incr, 'OUR-SEQUENCE-KEY')\n    [True]\n\nBe sure to call `pipe.multi()` in the callable passed to `Redis.transaction`\nprior to any write commands.\n\nPublish / Subscribe\n^^^^^^^^^^^^^^^^^^^\n\nredis-py includes a `PubSub` object that subscribes to channels and listens\nfor new messages. Creating a `PubSub` object is easy.\n\n.. code-block:: pycon\n\n    >>> r = redis.Redis(...)\n    >>> p = r.pubsub()\n\nOnce a `PubSub` instance is created, channels and patterns can be subscribed\nto.\n\n.. code-block:: pycon\n\n    >>> p.subscribe('my-first-channel', 'my-second-channel', ...)\n    >>> p.psubscribe('my-*', ...)\n\nThe `PubSub` instance is now subscribed to those channels/patterns. The\nsubscription confirmations can be seen by reading messages from the `PubSub`\ninstance.\n\n.. code-block:: pycon\n\n    >>> p.get_message()\n    {'pattern': None, 'type': 'subscribe', 'channel': b'my-second-channel', 'data': 1}\n    >>> p.get_message()\n    {'pattern': None, 'type': 'subscribe', 'channel': b'my-first-channel', 'data': 2}\n    >>> p.get_message()\n    {'pattern': None, 'type': 'psubscribe', 'channel': b'my-*', 'data': 3}\n\nEvery message read from a `PubSub` instance will be a dictionary with the\nfollowing keys.\n\n* **type**: One of the following: 'subscribe', 'unsubscribe', 'psubscribe',\n  'punsubscribe', 'message', 'pmessage'\n* **channel**: The channel [un]subscribed to or the channel a message was\n  published to\n* **pattern**: The pattern that matched a published message's channel. Will be\n  `None` in all cases except for 'pmessage' types.\n* **data**: The message data. With [un]subscribe messages, this value will be\n  the number of channels and patterns the connection is currently subscribed\n  to. With [p]message messages, this value will be the actual published\n  message.\n\nLet's send a message now.\n\n.. code-block:: pycon\n\n    # the publish method returns the number matching channel and pattern\n    # subscriptions. 'my-first-channel' matches both the 'my-first-channel'\n    # subscription and the 'my-*' pattern subscription, so this message will\n    # be delivered to 2 channels/patterns\n    >>> r.publish('my-first-channel', 'some data')\n    2\n    >>> p.get_message()\n    {'channel': b'my-first-channel', 'data': b'some data', 'pattern': None, 'type': 'message'}\n    >>> p.get_message()\n    {'channel': b'my-first-channel', 'data': b'some data', 'pattern': b'my-*', 'type': 'pmessage'}\n\nUnsubscribing works just like subscribing. If no arguments are passed to\n[p]unsubscribe, all channels or patterns will be unsubscribed from.\n\n.. code-block:: pycon\n\n    >>> p.unsubscribe()\n    >>> p.punsubscribe('my-*')\n    >>> p.get_message()\n    {'channel': b'my-second-channel', 'data': 2, 'pattern': None, 'type': 'unsubscribe'}\n    >>> p.get_message()\n    {'channel': b'my-first-channel', 'data': 1, 'pattern': None, 'type': 'unsubscribe'}\n    >>> p.get_message()\n    {'channel': b'my-*', 'data': 0, 'pattern': None, 'type': 'punsubscribe'}\n\nredis-py also allows you to register callback functions to handle published\nmessages. Message handlers take a single argument, the message, which is a\ndictionary just like the examples above. To subscribe to a channel or pattern\nwith a message handler, pass the channel or pattern name as a keyword argument\nwith its value being the callback function.\n\nWhen a message is read on a channel or pattern with a message handler, the\nmessage dictionary is created and passed to the message handler. In this case,\na `None` value is returned from get_message() since the message was already\nhandled.\n\n.. code-block:: pycon\n\n    >>> def my_handler(message):\n    ...     print('MY HANDLER: ', message['data'])\n    >>> p.subscribe(**{'my-channel': my_handler})\n    # read the subscribe confirmation message\n    >>> p.get_message()\n    {'pattern': None, 'type': 'subscribe', 'channel': b'my-channel', 'data': 1}\n    >>> r.publish('my-channel', 'awesome data')\n    1\n    # for the message handler to work, we need tell the instance to read data.\n    # this can be done in several ways (read more below). we'll just use\n    # the familiar get_message() function for now\n    >>> message = p.get_message()\n    MY HANDLER:  awesome data\n    # note here that the my_handler callback printed the string above.\n    # `message` is None because the message was handled by our handler.\n    >>> print(message)\n    None\n\nIf your application is not interested in the (sometimes noisy)\nsubscribe/unsubscribe confirmation messages, you can ignore them by passing\n`ignore_subscribe_messages=True` to `r.pubsub()`. This will cause all\nsubscribe/unsubscribe messages to be read, but they won't bubble up to your\napplication.\n\n.. code-block:: pycon\n\n    >>> p = r.pubsub(ignore_subscribe_messages=True)\n    >>> p.subscribe('my-channel')\n    >>> p.get_message()  # hides the subscribe message and returns None\n    >>> r.publish('my-channel', 'my data')\n    1\n    >>> p.get_message()\n    {'channel': b'my-channel', 'data': b'my data', 'pattern': None, 'type': 'message'}\n\nThere are three different strategies for reading messages.\n\nThe examples above have been using `pubsub.get_message()`. Behind the scenes,\n`get_message()` uses the system's 'select' module to quickly poll the\nconnection's socket. If there's data available to be read, `get_message()` will\nread it, format the message and return it or pass it to a message handler. If\nthere's no data to be read, `get_message()` will immediately return None. This\nmakes it trivial to integrate into an existing event loop inside your\napplication.\n\n.. code-block:: pycon\n\n    >>> while True:\n    >>>     message = p.get_message()\n    >>>     if message:\n    >>>         # do something with the message\n    >>>     time.sleep(0.001)  # be nice to the system :)\n\nOlder versions of redis-py only read messages with `pubsub.listen()`. listen()\nis a generator that blocks until a message is available. If your application\ndoesn't need to do anything else but receive and act on messages received from\nredis, listen() is an easy way to get up an running.\n\n.. code-block:: pycon\n\n    >>> for message in p.listen():\n    ...     # do something with the message\n\nThe third option runs an event loop in a separate thread.\n`pubsub.run_in_thread()` creates a new thread and starts the event loop. The\nthread object is returned to the caller of `run_in_thread()`. The caller can\nuse the `thread.stop()` method to shut down the event loop and thread. Behind\nthe scenes, this is simply a wrapper around `get_message()` that runs in a\nseparate thread, essentially creating a tiny non-blocking event loop for you.\n`run_in_thread()` takes an optional `sleep_time` argument. If specified, the\nevent loop will call `time.sleep()` with the value in each iteration of the\nloop.\n\nNote: Since we're running in a separate thread, there's no way to handle\nmessages that aren't automatically handled with registered message handlers.\nTherefore, redis-py prevents you from calling `run_in_thread()` if you're\nsubscribed to patterns or channels that don't have message handlers attached.\n\n.. code-block:: pycon\n\n    >>> p.subscribe(**{'my-channel': my_handler})\n    >>> thread = p.run_in_thread(sleep_time=0.001)\n    # the event loop is now running in the background processing messages\n    # when it's time to shut it down...\n    >>> thread.stop()\n\nA PubSub object adheres to the same encoding semantics as the client instance\nit was created from. Any channel or pattern that's unicode will be encoded\nusing the `charset` specified on the client before being sent to Redis. If the\nclient's `decode_responses` flag is set the False (the default), the\n'channel', 'pattern' and 'data' values in message dictionaries will be byte\nstrings (str on Python 2, bytes on Python 3). If the client's\n`decode_responses` is True, then the 'channel', 'pattern' and 'data' values\nwill be automatically decoded to unicode strings using the client's `charset`.\n\nPubSub objects remember what channels and patterns they are subscribed to. In\nthe event of a disconnection such as a network error or timeout, the\nPubSub object will re-subscribe to all prior channels and patterns when\nreconnecting. Messages that were published while the client was disconnected\ncannot be delivered. When you're finished with a PubSub object, call its\n`.close()` method to shutdown the connection.\n\n.. code-block:: pycon\n\n    >>> p = r.pubsub()\n    >>> ...\n    >>> p.close()\n\n\nThe PUBSUB set of subcommands CHANNELS, NUMSUB and NUMPAT are also\nsupported:\n\n.. code-block:: pycon\n\n    >>> r.pubsub_channels()\n    [b'foo', b'bar']\n    >>> r.pubsub_numsub('foo', 'bar')\n    [(b'foo', 9001), (b'bar', 42)]\n    >>> r.pubsub_numsub('baz')\n    [(b'baz', 0)]\n    >>> r.pubsub_numpat()\n    1204\n\nMonitor\n^^^^^^^\nredis-py includes a `Monitor` object that streams every command processed\nby the Redis server. Use `listen()` on the `Monitor` object to block\nuntil a command is received.\n\n.. code-block:: pycon\n\n    >>> r = redis.Redis(...)\n    >>> with r.monitor() as m:\n    >>>     for command in m.listen():\n    >>>         print(command)\n\nLua Scripting\n^^^^^^^^^^^^^\n\nredis-py supports the EVAL, EVALSHA, and SCRIPT commands. However, there are\na number of edge cases that make these commands tedious to use in real world\nscenarios. Therefore, redis-py exposes a Script object that makes scripting\nmuch easier to use.\n\nTo create a Script instance, use the `register_script` function on a client\ninstance passing the Lua code as the first argument. `register_script` returns\na Script instance that you can use throughout your code.\n\nThe following trivial Lua script accepts two parameters: the name of a key and\na multiplier value. The script fetches the value stored in the key, multiplies\nit with the multiplier value and returns the result.\n\n.. code-block:: pycon\n\n    >>> r = redis.Redis()\n    >>> lua = \"\"\"\n    ... local value = redis.call('GET', KEYS[1])\n    ... value = tonumber(value)\n    ... return value * ARGV[1]\"\"\"\n    >>> multiply = r.register_script(lua)\n\n`multiply` is now a Script instance that is invoked by calling it like a\nfunction. Script instances accept the following optional arguments:\n\n* **keys**: A list of key names that the script will access. This becomes the\n  KEYS list in Lua.\n* **args**: A list of argument values. This becomes the ARGV list in Lua.\n* **client**: A redis-py Client or Pipeline instance that will invoke the\n  script. If client isn't specified, the client that initially\n  created the Script instance (the one that `register_script` was\n  invoked from) will be used.\n\nContinuing the example from above:\n\n.. code-block:: pycon\n\n    >>> r.set('foo', 2)\n    >>> multiply(keys=['foo'], args=[5])\n    10\n\nThe value of key 'foo' is set to 2. When multiply is invoked, the 'foo' key is\npassed to the script along with the multiplier value of 5. Lua executes the\nscript and returns the result, 10.\n\nScript instances can be executed using a different client instance, even one\nthat points to a completely different Redis server.\n\n.. code-block:: pycon\n\n    >>> r2 = redis.Redis('redis2.example.com')\n    >>> r2.set('foo', 3)\n    >>> multiply(keys=['foo'], args=[5], client=r2)\n    15\n\nThe Script object ensures that the Lua script is loaded into Redis's script\ncache. In the event of a NOSCRIPT error, it will load the script and retry\nexecuting it.\n\nScript objects can also be used in pipelines. The pipeline instance should be\npassed as the client argument when calling the script. Care is taken to ensure\nthat the script is registered in Redis's script cache just prior to pipeline\nexecution.\n\n.. code-block:: pycon\n\n    >>> pipe = r.pipeline()\n    >>> pipe.set('foo', 5)\n    >>> multiply(keys=['foo'], args=[5], client=pipe)\n    >>> pipe.execute()\n    [True, 25]\n\nSentinel support\n^^^^^^^^^^^^^^^^\n\nredis-py can be used together with `Redis Sentinel <https://redis.io/topics/sentinel>`_\nto discover Redis nodes. You need to have at least one Sentinel daemon running\nin order to use redis-py's Sentinel support.\n\nConnecting redis-py to the Sentinel instance(s) is easy. You can use a\nSentinel connection to discover the master and slaves network addresses:\n\n.. code-block:: pycon\n\n    >>> from redis.sentinel import Sentinel\n    >>> sentinel = Sentinel([('localhost', 26379)], socket_timeout=0.1)\n    >>> sentinel.discover_master('mymaster')\n    ('127.0.0.1', 6379)\n    >>> sentinel.discover_slaves('mymaster')\n    [('127.0.0.1', 6380)]\n\nYou can also create Redis client connections from a Sentinel instance. You can\nconnect to either the master (for write operations) or a slave (for read-only\noperations).\n\n.. code-block:: pycon\n\n    >>> master = sentinel.master_for('mymaster', socket_timeout=0.1)\n    >>> slave = sentinel.slave_for('mymaster', socket_timeout=0.1)\n    >>> master.set('foo', 'bar')\n    >>> slave.get('foo')\n    b'bar'\n\nThe master and slave objects are normal Redis instances with their\nconnection pool bound to the Sentinel instance. When a Sentinel backed client\nattempts to establish a connection, it first queries the Sentinel servers to\ndetermine an appropriate host to connect to. If no server is found,\na MasterNotFoundError or SlaveNotFoundError is raised. Both exceptions are\nsubclasses of ConnectionError.\n\nWhen trying to connect to a slave client, the Sentinel connection pool will\niterate over the list of slaves until it finds one that can be connected to.\nIf no slaves can be connected to, a connection will be established with the\nmaster.\n\nSee `Guidelines for Redis clients with support for Redis Sentinel\n<https://redis.io/topics/sentinel-clients>`_ to learn more about Redis Sentinel.\n\nScan Iterators\n^^^^^^^^^^^^^^\n\nThe \\*SCAN commands introduced in Redis 2.8 can be cumbersome to use. While\nthese commands are fully supported, redis-py also exposes the following methods\nthat return Python iterators for convenience: `scan_iter`, `hscan_iter`,\n`sscan_iter` and `zscan_iter`.\n\n.. code-block:: pycon\n\n    >>> for key, value in (('A', '1'), ('B', '2'), ('C', '3')):\n    ...     r.set(key, value)\n    >>> for key in r.scan_iter():\n    ...     print(key, r.get(key))\n    A 1\n    B 2\n    C 3\n\nAuthor\n^^^^^^\n\nredis-py is developed and maintained by Andy McCurdy (sedrik@gmail.com).\nIt can be found here: https://github.com/andymccurdy/redis-py\n\nSpecial thanks to:\n\n* Ludovico Magnocavallo, author of the original Python Redis client, from\n  which some of the socket code is still used.\n* Alexander Solovyov for ideas on the generic response callback system.\n* Paul Hubbard for initial packaging support.",
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      "description": "scandir, a better directory iterator and faster os.walk()\r\n=========================================================\r\n\r\n.. image:: https://img.shields.io/pypi/v/scandir.svg\r\n   :target: https://pypi.python.org/pypi/scandir\r\n   :alt: scandir on PyPI (Python Package Index)\r\n\r\n.. image:: https://travis-ci.org/benhoyt/scandir.svg?branch=master\r\n   :target: https://travis-ci.org/benhoyt/scandir\r\n   :alt: Travis CI tests (Linux)\r\n\r\n.. image:: https://ci.appveyor.com/api/projects/status/github/benhoyt/scandir?branch=master&svg=true\r\n   :target: https://ci.appveyor.com/project/benhoyt/scandir\r\n   :alt: Appveyor tests (Windows)\r\n\r\n\r\n``scandir()`` is a directory iteration function like ``os.listdir()``,\r\nexcept that instead of returning a list of bare filenames, it yields\r\n``DirEntry`` objects that include file type and stat information along\r\nwith the name. Using ``scandir()`` increases the speed of ``os.walk()``\r\nby 2-20 times (depending on the platform and file system) by avoiding\r\nunnecessary calls to ``os.stat()`` in most cases.\r\n\r\n\r\nNow included in a Python near you!\r\n----------------------------------\r\n\r\n``scandir`` has been included in the Python 3.5 standard library as\r\n``os.scandir()``, and the related performance improvements to\r\n``os.walk()`` have also been included. So if you're lucky enough to be\r\nusing Python 3.5 (release date September 13, 2015) you get the benefit\r\nimmediately, otherwise just\r\n`download this module from PyPI <https://pypi.python.org/pypi/scandir>`_,\r\ninstall it with ``pip install scandir``, and then do something like\r\nthis in your code:\r\n\r\n.. code-block:: python\r\n\r\n    # Use the built-in version of scandir/walk if possible, otherwise\r\n    # use the scandir module version\r\n    try:\r\n        from os import scandir, walk\r\n    except ImportError:\r\n        from scandir import scandir, walk\r\n\r\n`PEP 471 <https://www.python.org/dev/peps/pep-0471/>`_, which is the\r\nPEP that proposes including ``scandir`` in the Python standard library,\r\nwas `accepted <https://mail.python.org/pipermail/python-dev/2014-July/135561.html>`_\r\nin July 2014 by Victor Stinner, the BDFL-delegate for the PEP.\r\n\r\nThis ``scandir`` module is intended to work on Python 2.7+ and Python\r\n3.4+ (and it has been tested on those versions).\r\n\r\n\r\nBackground\r\n----------\r\n\r\nPython's built-in ``os.walk()`` is significantly slower than it needs to be,\r\nbecause -- in addition to calling ``listdir()`` on each directory -- it calls\r\n``stat()`` on each file to determine whether the filename is a directory or not.\r\nBut both ``FindFirstFile`` / ``FindNextFile`` on Windows and ``readdir`` on Linux/OS\r\nX already tell you whether the files returned are directories or not, so\r\nno further ``stat`` system calls are needed. In short, you can reduce the number\r\nof system calls from about 2N to N, where N is the total number of files and\r\ndirectories in the tree.\r\n\r\nIn practice, removing all those extra system calls makes ``os.walk()`` about\r\n**7-50 times as fast on Windows, and about 3-10 times as fast on Linux and Mac OS\r\nX.** So we're not talking about micro-optimizations. See more benchmarks\r\nin the \"Benchmarks\" section below.\r\n\r\nSomewhat relatedly, many people have also asked for a version of\r\n``os.listdir()`` that yields filenames as it iterates instead of returning them\r\nas one big list. This improves memory efficiency for iterating very large\r\ndirectories.\r\n\r\nSo as well as a faster ``walk()``, scandir adds a new ``scandir()`` function.\r\nThey're pretty easy to use, but see \"The API\" below for the full docs.\r\n\r\n\r\nBenchmarks\r\n----------\r\n\r\nBelow are results showing how many times as fast ``scandir.walk()`` is than\r\n``os.walk()`` on various systems, found by running ``benchmark.py`` with no\r\narguments:\r\n\r\n====================   ==============   =============\r\nSystem version         Python version   Times as fast\r\n====================   ==============   =============\r\nWindows 7 64-bit       2.7.7 64-bit     10.4\r\nWindows 7 64-bit SSD   2.7.7 64-bit     10.3\r\nWindows 7 64-bit NFS   2.7.6 64-bit     36.8\r\nWindows 7 64-bit SSD   3.4.1 64-bit     9.9\r\nWindows 7 64-bit SSD   3.5.0 64-bit     9.5\r\nUbuntu 14.04 64-bit    2.7.6 64-bit     5.8\r\nMac OS X 10.9.3        2.7.5 64-bit     3.8\r\n====================   ==============   =============\r\n\r\nAll of the above tests were done using the fast C version of scandir\r\n(source code in ``_scandir.c``).\r\n\r\nNote that the gains are less than the above on smaller directories and greater\r\non larger directories. This is why ``benchmark.py`` creates a test directory\r\ntree with a standardized size.\r\n\r\n\r\nThe API\r\n-------\r\n\r\nwalk()\r\n~~~~~~\r\n\r\nThe API for ``scandir.walk()`` is exactly the same as ``os.walk()``, so just\r\n`read the Python docs <https://docs.python.org/3.5/library/os.html#os.walk>`_.\r\n\r\nscandir()\r\n~~~~~~~~~\r\n\r\nThe full docs for ``scandir()`` and the ``DirEntry`` objects it yields are\r\navailable in the `Python documentation here <https://docs.python.org/3.5/library/os.html#os.scandir>`_. \r\nBut below is a brief summary as well.\r\n\r\n    scandir(path='.') -> iterator of DirEntry objects for given path\r\n\r\nLike ``listdir``, ``scandir`` calls the operating system's directory\r\niteration system calls to get the names of the files in the given\r\n``path``, but it's different from ``listdir`` in two ways:\r\n\r\n* Instead of returning bare filename strings, it returns lightweight\r\n  ``DirEntry`` objects that hold the filename string and provide\r\n  simple methods that allow access to the additional data the\r\n  operating system may have returned.\r\n\r\n* It returns a generator instead of a list, so that ``scandir`` acts\r\n  as a true iterator instead of returning the full list immediately.\r\n\r\n``scandir()`` yields a ``DirEntry`` object for each file and\r\nsub-directory in ``path``. Just like ``listdir``, the ``'.'``\r\nand ``'..'`` pseudo-directories are skipped, and the entries are\r\nyielded in system-dependent order. Each ``DirEntry`` object has the\r\nfollowing attributes and methods:\r\n\r\n* ``name``: the entry's filename, relative to the scandir ``path``\r\n  argument (corresponds to the return values of ``os.listdir``)\r\n\r\n* ``path``: the entry's full path name (not necessarily an absolute\r\n  path) -- the equivalent of ``os.path.join(scandir_path, entry.name)``\r\n\r\n* ``is_dir(*, follow_symlinks=True)``: similar to\r\n  ``pathlib.Path.is_dir()``, but the return value is cached on the\r\n  ``DirEntry`` object; doesn't require a system call in most cases;\r\n  don't follow symbolic links if ``follow_symlinks`` is False\r\n\r\n* ``is_file(*, follow_symlinks=True)``: similar to\r\n  ``pathlib.Path.is_file()``, but the return value is cached on the\r\n  ``DirEntry`` object; doesn't require a system call in most cases; \r\n  don't follow symbolic links if ``follow_symlinks`` is False\r\n\r\n* ``is_symlink()``: similar to ``pathlib.Path.is_symlink()``, but the\r\n  return value is cached on the ``DirEntry`` object; doesn't require a\r\n  system call in most cases\r\n\r\n* ``stat(*, follow_symlinks=True)``: like ``os.stat()``, but the\r\n  return value is cached on the ``DirEntry`` object; does not require a\r\n  system call on Windows (except for symlinks); don't follow symbolic links\r\n  (like ``os.lstat()``) if ``follow_symlinks`` is False\r\n\r\n* ``inode()``: return the inode number of the entry; the return value\r\n  is cached on the ``DirEntry`` object\r\n\r\nHere's a very simple example of ``scandir()`` showing use of the\r\n``DirEntry.name`` attribute and the ``DirEntry.is_dir()`` method:\r\n\r\n.. code-block:: python\r\n\r\n    def subdirs(path):\r\n        \"\"\"Yield directory names not starting with '.' under given path.\"\"\"\r\n        for entry in os.scandir(path):\r\n            if not entry.name.startswith('.') and entry.is_dir():\r\n                yield entry.name\r\n\r\nThis ``subdirs()`` function will be significantly faster with scandir\r\nthan ``os.listdir()`` and ``os.path.isdir()`` on both Windows and POSIX\r\nsystems, especially on medium-sized or large directories.\r\n\r\n\r\nFurther reading\r\n---------------\r\n\r\n* `The Python docs for scandir <https://docs.python.org/3.5/library/os.html#os.scandir>`_\r\n* `PEP 471 <https://www.python.org/dev/peps/pep-0471/>`_, the\r\n  (now-accepted) Python Enhancement Proposal that proposed adding\r\n  ``scandir`` to the standard library -- a lot of details here,\r\n  including rejected ideas and previous discussion\r\n\r\n\r\nFlames, comments, bug reports\r\n-----------------------------\r\n\r\nPlease send flames, comments, and questions about scandir to Ben Hoyt:\r\n\r\nhttp://benhoyt.com/\r\n\r\nFile bug reports for the version in the Python 3.5 standard library\r\n`here <https://docs.python.org/3.5/bugs.html>`_, or file bug reports\r\nor feature requests for this module at the GitHub project page:\r\n\r\nhttps://github.com/benhoyt/scandir",
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      "description": "Simple generic functions (similar to Python's own len(), pickle.dump(), etc.)\n* New in 0.8: Source and tests are compatible with Python 3 (w/o ``setup.py``)\r\n\r\n  * 0.8.1: setup.py is now compatible with Python 3 as well\r\n\r\n* New in 0.7: `Multiple Types or Objects`_\r\n\r\n* New in 0.6: `Inspection and Extension`_, and thread-safe method registration\r\n\r\nThe ``simplegeneric`` module lets you define simple single-dispatch\r\ngeneric functions, akin to Python's built-in generic functions like\r\n``len()``, ``iter()`` and so on.  However, instead of using\r\nspecially-named methods, these generic functions use simple lookup\r\ntables, akin to those used by e.g. ``pickle.dump()`` and other\r\ngeneric functions found in the Python standard library.\r\n\r\nAs you can see from the above examples, generic functions are actually\r\nquite common in Python already, but there is no standard way to create\r\nsimple ones.  This library attempts to fill that gap, as generic\r\nfunctions are an `excellent alternative to the Visitor pattern`_, as\r\nwell as being a great substitute for most common uses of adaptation.\r\n\r\nThis library tries to be the simplest possible implementation of generic\r\nfunctions, and it therefore eschews the use of multiple or predicate\r\ndispatch, as well as avoiding speedup techniques such as C dispatching\r\nor code generation.  But it has absolutely no dependencies, other than\r\nPython 2.4, and the implementation is just a single Python module of\r\nless than 100 lines.\r\n\r\n\r\nUsage\r\n-----\r\n\r\nDefining and using a generic function is straightforward::\r\n\r\n    >>> from simplegeneric import generic\r\n    >>> @generic\r\n    ... def move(item, target):\r\n    ...     \"\"\"Default implementation goes here\"\"\"\r\n    ...     print(\"what you say?!\")\r\n\r\n    >>> @move.when_type(int)\r\n    ... def move_int(item, target):\r\n    ...     print(\"In AD %d, %s was beginning.\" % (item, target))\r\n\r\n    >>> @move.when_type(str)\r\n    ... def move_str(item, target):\r\n    ...     print(\"How are you %s!!\" % item)\r\n    ...     print(\"All your %s are belong to us.\" % (target,))\r\n\r\n    >>> zig = object()\r\n    >>> @move.when_object(zig)\r\n    ... def move_zig(item, target):\r\n    ...     print(\"You know what you %s.\" % (target,))\r\n    ...     print(\"For great justice!\")\r\n\r\n    >>> move(2101, \"war\")\r\n    In AD 2101, war was beginning.\r\n\r\n    >>> move(\"gentlemen\", \"base\")\r\n    How are you gentlemen!!\r\n    All your base are belong to us.\r\n\r\n    >>> move(zig, \"doing\")\r\n    You know what you doing.\r\n    For great justice!\r\n\r\n    >>> move(27.0, 56.2)\r\n    what you say?!\r\n\r\n\r\nInheritance and Allowed Types\r\n-----------------------------\r\n\r\nDefining multiple methods for the same type or object is an error::\r\n\r\n    >>> @move.when_type(str)\r\n    ... def this_is_wrong(item, target):\r\n    ...     pass\r\n    Traceback (most recent call last):\r\n    ...\r\n    TypeError: <function move...> already has method for type <...'str'>\r\n\r\n    >>> @move.when_object(zig)\r\n    ... def this_is_wrong(item, target): pass\r\n    Traceback (most recent call last):\r\n      ...\r\n    TypeError: <function move...> already has method for object <object ...>\r\n\r\nAnd the ``when_type()`` decorator only accepts classes or types::\r\n\r\n    >>> @move.when_type(23)\r\n    ... def move_23(item, target):\r\n    ...     print(\"You have no chance to survive!\")\r\n    Traceback (most recent call last):\r\n      ...\r\n    TypeError: 23 is not a type or class\r\n\r\nMethods defined for supertypes are inherited following MRO order::\r\n\r\n    >>> class MyString(str):\r\n    ...     \"\"\"String subclass\"\"\"\r\n\r\n    >>> move(MyString(\"ladies\"), \"drinks\")\r\n    How are you ladies!!\r\n    All your drinks are belong to us.\r\n\r\nClassic class instances are also supported (although the lookup process\r\nis slower than for new-style instances)::\r\n\r\n    >>> class X: pass\r\n    >>> class Y(X): pass\r\n\r\n    >>> @move.when_type(X)\r\n    ... def move_x(item, target):\r\n    ...     print(\"Someone set us up the %s!!!\" % (target,))\r\n\r\n    >>> move(X(), \"bomb\")\r\n    Someone set us up the bomb!!!\r\n\r\n    >>> move(Y(), \"dance\")\r\n    Someone set us up the dance!!!\r\n\r\n\r\nMultiple Types or Objects\r\n-------------------------\r\n\r\nAs a convenience, you can now pass more than one type or object to the\r\nregistration methods::\r\n\r\n    >>> @generic\r\n    ... def isbuiltin(ob):\r\n    ...     return False\r\n    >>> @isbuiltin.when_type(int, str, float, complex, type)\r\n    ... @isbuiltin.when_object(None, Ellipsis)\r\n    ... def yes(ob):\r\n    ...     return True\r\n    \r\n    >>> isbuiltin(1)\r\n    True\r\n    >>> isbuiltin(object)\r\n    True\r\n    >>> isbuiltin(object())\r\n    False\r\n    >>> isbuiltin(X())\r\n    False\r\n    >>> isbuiltin(None)\r\n    True\r\n    >>> isbuiltin(Ellipsis)\r\n    True\r\n\r\n\r\nDefaults and Docs\r\n-----------------\r\n\r\nYou can obtain a function's default implementation using its ``default``\r\nattribute::\r\n\r\n    >>> @move.when_type(Y)\r\n    ... def move_y(item, target):\r\n    ...     print(\"Someone set us up the %s!!!\" % (target,))\r\n    ...     move.default(item, target)\r\n\r\n    >>> move(Y(), \"dance\")\r\n    Someone set us up the dance!!!\r\n    what you say?!\r\n\r\n\r\n``help()`` and other documentation tools see generic functions as normal\r\nfunction objects, with the same name, attributes, docstring, and module as\r\nthe prototype/default function::\r\n\r\n    >>> help(move)\r\n    Help on function move:\r\n    ...\r\n    move(*args, **kw)\r\n        Default implementation goes here\r\n    ...\r\n\r\n\r\nInspection and Extension\r\n------------------------\r\n\r\nYou can find out if a generic function has a method for a type or object using\r\nthe ``has_object()`` and ``has_type()`` methods::\r\n\r\n    >>> move.has_object(zig)\r\n    True\r\n    >>> move.has_object(42)\r\n    False\r\n\r\n    >>> move.has_type(X)\r\n    True\r\n    >>> move.has_type(float)\r\n    False\r\n\r\nNote that ``has_type()`` only queries whether there is a method registered for\r\nthe *exact* type, not subtypes or supertypes::\r\n\r\n    >>> class Z(X): pass\r\n    >>> move.has_type(Z)\r\n    False\r\n\r\nYou can create a generic function that \"inherits\" from an existing generic\r\nfunction by calling ``generic()`` on the existing function::\r\n\r\n    >>> move2 = generic(move)\r\n    >>> move(2101, \"war\")\r\n    In AD 2101, war was beginning.\r\n\r\nAny methods added to the new generic function override *all* methods in the\r\n\"base\" function::\r\n\r\n    >>> @move2.when_type(X)\r\n    ... def move2_X(item, target):\r\n    ...     print(\"You have no chance to survive make your %s!\" % (target,))\r\n\r\n    >>> move2(X(), \"time\")\r\n    You have no chance to survive make your time!\r\n\r\n    >>> move2(Y(), \"time\")\r\n    You have no chance to survive make your time!\r\n\r\nNotice that even though ``move()`` has a method for type ``Y``, the method\r\ndefined for ``X`` in ``move2()`` takes precedence.  This is because the\r\n``move`` function is used as the ``default`` method of ``move2``, and ``move2``\r\nhas no method for type ``Y``::\r\n\r\n    >>> move2.default is move\r\n    True\r\n    >>> move.has_type(Y)\r\n    True\r\n    >>> move2.has_type(Y)\r\n    False\r\n\r\n\r\nLimitations\r\n-----------\r\n\r\n* The first argument is always used for dispatching, and it must always be\r\n  passed *positionally* when the function is called.\r\n\r\n* Documentation tools don't see the function's original argument signature, so\r\n  you have to describe it in the docstring.\r\n\r\n* If you have optional arguments, you must duplicate them on every method in\r\n  order for them to work correctly.  (On the plus side, it means you can have\r\n  different defaults or required arguments for each method, although relying on\r\n  that quirk probably isn't a good idea.)\r\n\r\nThese restrictions may be lifted in later releases, if I feel the need.  They\r\nwould require runtime code generation the way I do it in ``RuleDispatch``,\r\nhowever, which is somewhat of a pain.  (Alternately I could use the\r\n``BytecodeAssembler`` package to do the code generation, as that's a lot easier\r\nto use than string-based code generation, but that would introduce more\r\ndependencies, and I'm trying to keep this simple so I can just\r\ntoss it into Chandler without a big footprint increase.)\r\n\r\n.. _excellent alternative to the Visitor pattern: http://peak.telecommunity.com/DevCenter/VisitorRevisited",
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      "description": "Promises, promises, promises.\n=====================================================================\n vine - Python Promises\n=====================================================================\n\n|build-status| |coverage| |license| |wheel| |pyversion| |pyimp|\n\n:Version: 1.3.0\n:Web: https://vine.readthedocs.io/\n:Download: https://pypi.org/project/vine/\n:Source: http://github.com/celery/vine/\n:Keywords: promise, async, future\n\nAbout\n=====\n\n\n.. |build-status| image:: https://secure.travis-ci.org/celery/vine.png?branch=master\n    :alt: Build status\n    :target: https://travis-ci.org/celery/vine\n\n.. |coverage| image:: https://codecov.io/github/celery/vine/coverage.svg?branch=master\n    :target: https://codecov.io/github/celery/vine?branch=master\n\n.. |license| image:: https://img.shields.io/pypi/l/vine.svg\n    :alt: BSD License\n    :target: https://opensource.org/licenses/BSD-3-Clause\n\n.. |wheel| image:: https://img.shields.io/pypi/wheel/vine.svg\n    :alt: Vine can be installed via wheel\n    :target: https://pypi.org/project/vine/\n\n.. |pyversion| image:: https://img.shields.io/pypi/pyversions/vine.svg\n    :alt: Supported Python versions.\n    :target: https://pypi.org/project/vine/\n\n.. |pyimp| image:: https://img.shields.io/pypi/implementation/vine.svg\n    :alt: Support Python implementations.\n    :target: https://pypi.org/project/vine/",
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      "description": "Measures the displayed width of unicode strings in a terminal\n|pypi_downloads| |codecov| |license|\n\n============\nIntroduction\n============\n\nThis library is mainly for CLI programs that carefully produce output for\nTerminals, or make pretend to be an emulator.\n\n**Problem Statement**: The printable length of *most* strings are equal to the\nnumber of cells they occupy on the screen ``1 character : 1 cell``.  However,\nthere are categories of characters that *occupy 2 cells* (full-wide), and\nothers that *occupy 0* cells (zero-width).\n\n**Solution**: POSIX.1-2001 and POSIX.1-2008 conforming systems provide\n`wcwidth(3)`_ and `wcswidth(3)`_ C functions of which this python module's\nfunctions precisely copy.  *These functions return the number of cells a\nunicode string is expected to occupy.*\n\nInstallation\n------------\n\nThe stable version of this package is maintained on pypi, install using pip::\n\n    pip install wcwidth\n\nExample\n-------\n\n**Problem**: given the following phrase (Japanese),\n\n   >>>  text = u'\u30b3\u30f3\u30cb\u30c1\u30cf'\n\nPython **incorrectly** uses the *string length* of 5 codepoints rather than the\n*printable length* of 10 cells, so that when using the `rjust` function, the\noutput length is wrong::\n\n    >>> print(len('\u30b3\u30f3\u30cb\u30c1\u30cf'))\n    5\n\n    >>> print('\u30b3\u30f3\u30cb\u30c1\u30cf'.rjust(20, '_'))\n    _______________\u30b3\u30f3\u30cb\u30c1\u30cf\n\nBy defining our own \"rjust\" function that uses wcwidth, we can correct this::\n\n   >>> def wc_rjust(text, length, padding=' '):\n   ...    from wcwidth import wcswidth\n   ...    return padding * max(0, (length - wcswidth(text))) + text\n   ...\n\nOur **Solution** uses wcswidth to determine the string length correctly::\n\n   >>> from wcwidth import wcswidth\n   >>> print(wcswidth('\u30b3\u30f3\u30cb\u30c1\u30cf'))\n   10\n\n   >>> print(wc_rjust('\u30b3\u30f3\u30cb\u30c1\u30cf', 20, '_'))\n   __________\u30b3\u30f3\u30cb\u30c1\u30cf\n\n\nChoosing a Version\n------------------\n\nExport an environment variable, ``UNICODE_VERSION``. This should be done by\n*terminal emulators* or those developers experimenting with authoring one of\ntheir own, from shell::\n\n   $ export UNICODE_VERSION=13.0\n\nIf unspecified, the latest version is used. If your Terminal Emulator does not\nexport this variable, you can use the `jquast/ucs-detect`_ utility to\nautomatically detect and export it to your shell.\n\nwcwidth, wcswidth\n-----------------\nUse function ``wcwidth()`` to determine the length of a *single unicode\ncharacter*, and ``wcswidth()`` to determine the length of many, a *string\nof unicode characters*.\n\nBriefly, return values of function ``wcwidth()`` are:\n\n``-1``\n  Indeterminate (not printable).\n\n``0``\n  Does not advance the cursor, such as NULL or Combining.\n\n``2``\n  Characters of category East Asian Wide (W) or East Asian\n  Full-width (F) which are displayed using two terminal cells.\n\n``1``\n  All others.\n\nFunction ``wcswidth()`` simply returns the sum of all values for each character\nalong a string, or ``-1`` when it occurs anywhere along a string.\n\nFull API Documentation at https://wcwidth.readthedocs.org\n\n==========\nDeveloping\n==========\n\nInstall wcwidth in editable mode::\n\n   pip install -e .\n\nExecute unit tests using tox_::\n\n   tox -e py27,py35,py36,py37,py38,py39,py310,py311,py312\n\nUpdating Unicode Version\n------------------------\n\nRegenerate python code tables from latest Unicode Specification data files::\n\n   tox -e update\n\nThe script is located at ``bin/update-tables.py``, requires Python 3.9 or\nlater. It is recommended but not necessary to run this script with the newest\nPython, because the newest Python has the latest ``unicodedata`` for generating\ncomments.\n\nBuilding Documentation\n----------------------\n\nThis project is using `sphinx`_ 4.5 to build documentation::\n\n   tox -e sphinx\n\nThe output will be in ``docs/_build/html/``.\n\nUpdating Requirements\n---------------------\n\nThis project is using `pip-tools`_ to manage requirements.\n\nTo upgrade requirements for updating unicode version, run::\n\n   tox -e update_requirements_update\n\nTo upgrade requirements for testing, run::\n\n   tox -e update_requirements37,update_requirements39\n\nTo upgrade requirements for building documentation, run::\n\n   tox -e update_requirements_docs\n\nUtilities\n---------\n\nSupplementary tools for browsing and testing terminals for wide unicode\ncharacters are found in the `bin/`_ of this project's source code.  Just ensure\nto first ``pip install -r requirements-develop.txt`` from this projects main\nfolder. For example, an interactive browser for testing::\n\n  python ./bin/wcwidth-browser.py\n\n====\nUses\n====\n\nThis library is used in:\n\n- `jquast/blessed`_: a thin, practical wrapper around terminal capabilities in\n  Python.\n\n- `prompt-toolkit/python-prompt-toolkit`_: a Library for building powerful\n  interactive command lines in Python.\n\n- `dbcli/pgcli`_: Postgres CLI with autocompletion and syntax highlighting.\n\n- `thomasballinger/curtsies`_: a Curses-like terminal wrapper with a display\n  based on compositing 2d arrays of text.\n\n- `selectel/pyte`_: Simple VTXXX-compatible linux terminal emulator.\n\n- `astanin/python-tabulate`_: Pretty-print tabular data in Python, a library\n  and a command-line utility.\n\n- `rspeer/python-ftfy`_: Fixes mojibake and other glitches in Unicode\n  text.\n\n- `nbedos/termtosvg`_: Terminal recorder that renders sessions as SVG\n  animations.\n\n- `peterbrittain/asciimatics`_: Package to help people create full-screen text\n  UIs.\n\n- `python-cmd2/cmd2`_: A tool for building interactive command line apps\n\n- `stratis-storage/stratis-cli`_: CLI for the Stratis project\n\n- `ihabunek/toot`_: A Mastodon CLI/TUI client\n\n- `saulpw/visidata`_: Terminal spreadsheet multitool for discovering and\n  arranging data\n\n===============\nOther Languages\n===============\n\n- `timoxley/wcwidth`_: JavaScript\n- `janlelis/unicode-display_width`_: Ruby\n- `alecrabbit/php-wcwidth`_: PHP\n- `Text::CharWidth`_: Perl\n- `bluebear94/Terminal-WCWidth`_: Perl 6\n- `mattn/go-runewidth`_: Go\n- `grepsuzette/wcwidth`_: Haxe\n- `aperezdc/lua-wcwidth`_: Lua\n- `joachimschmidt557/zig-wcwidth`_: Zig\n- `fumiyas/wcwidth-cjk`_: `LD_PRELOAD` override\n- `joshuarubin/wcwidth9`_: Unicode version 9 in C\n\n=======\nHistory\n=======\n\n0.2.13 *2024-01-06*\n  * **Bugfix** zero-width support for Hangul Jamo (Korean)\n\n0.2.12 *2023-11-21*\n  * re-release to remove .pyi file misplaced in wheel files `Issue #101`_.\n\n0.2.11 *2023-11-20*\n  * Include tests files in the source distribution (`PR #98`_, `PR #100`_).\n\n0.2.10 *2023-11-13*\n  * **Bugfix** accounting of some kinds of emoji sequences using U+FE0F\n    Variation Selector 16 (`PR #97`_).\n  * **Updated** `Specification <Specification_from_pypi_>`_.\n\n0.2.9 *2023-10-30*\n  * **Bugfix** zero-width characters used in Emoji ZWJ sequences, Balinese,\n    Jamo, Devanagari, Tamil, Kannada and others (`PR #91`_).\n  * **Updated** to include `Specification <Specification_from_pypi_>`_ of\n    character measurements.\n\n0.2.8 *2023-09-30*\n  * Include requirements files in the source distribution (`PR #82`_).\n\n0.2.7 *2023-09-28*\n  * **Updated** tables to include Unicode Specification 15.1.0.\n  * Include ``bin``, ``docs``, and ``tox.ini`` in the source distribution\n\n0.2.6 *2023-01-14*\n  * **Updated** tables to include Unicode Specification 14.0.0 and 15.0.0.\n  * **Changed** developer tools to use pip-compile, and to use jinja2 templates\n    for code generation in `bin/update-tables.py` to prepare for possible\n    compiler optimization release.\n\n0.2.1 .. 0.2.5 *2020-06-23*\n  * **Repository** changes to update tests and packaging issues, and\n    begin tagging repository with matching release versions.\n\n0.2.0 *2020-06-01*\n  * **Enhancement**: Unicode version may be selected by exporting the\n    Environment variable ``UNICODE_VERSION``, such as ``13.0``, or ``6.3.0``.\n    See the `jquast/ucs-detect`_ CLI utility for automatic detection.\n  * **Enhancement**:\n    API Documentation is published to readthedocs.org.\n  * **Updated** tables for *all* Unicode Specifications with files\n    published in a programmatically consumable format, versions 4.1.0\n    through 13.0\n\n0.1.9 *2020-03-22*\n  * **Performance** optimization by `Avram Lubkin`_, `PR #35`_.\n  * **Updated** tables to Unicode Specification 13.0.0.\n\n0.1.8 *2020-01-01*\n  * **Updated** tables to Unicode Specification 12.0.0. (`PR #30`_).\n\n0.1.7 *2016-07-01*\n  * **Updated** tables to Unicode Specification 9.0.0. (`PR #18`_).\n\n0.1.6 *2016-01-08 Production/Stable*\n  * ``LICENSE`` file now included with distribution.\n\n0.1.5 *2015-09-13 Alpha*\n  * **Bugfix**:\n    Resolution of \"combining_ character width\" issue, most especially\n    those that previously returned -1 now often (correctly) return 0.\n    resolved by `Philip Craig`_ via `PR #11`_.\n  * **Deprecated**:\n    The module path ``wcwidth.table_comb`` is no longer available,\n    it has been superseded by module path ``wcwidth.table_zero``.\n\n0.1.4 *2014-11-20 Pre-Alpha*\n  * **Feature**: ``wcswidth()`` now determines printable length\n    for (most) combining_ characters.  The developer's tool\n    `bin/wcwidth-browser.py`_ is improved to display combining_\n    characters when provided the ``--combining`` option\n    (`Thomas Ballinger`_ and `Leta Montopoli`_ `PR #5`_).\n  * **Feature**: added static analysis (prospector_) to testing\n    framework.\n\n0.1.3 *2014-10-29 Pre-Alpha*\n  * **Bugfix**: 2nd parameter of wcswidth was not honored.\n    (`Thomas Ballinger`_, `PR #4`_).\n\n0.1.2 *2014-10-28 Pre-Alpha*\n  * **Updated** tables to Unicode Specification 7.0.0.\n    (`Thomas Ballinger`_, `PR #3`_).\n\n0.1.1 *2014-05-14 Pre-Alpha*\n  * Initial release to pypi, Based on Unicode Specification 6.3.0\n\nThis code was originally derived directly from C code of the same name,\nwhose latest version is available at\nhttps://www.cl.cam.ac.uk/~mgk25/ucs/wcwidth.c::\n\n * Markus Kuhn -- 2007-05-26 (Unicode 5.0)\n *\n * Permission to use, copy, modify, and distribute this software\n * for any purpose and without fee is hereby granted. The author\n * disclaims all warranties with regard to this software.\n\n.. _`Specification_from_pypi`: https://wcwidth.readthedocs.io/en/latest/specs.html\n.. _`tox`: https://tox.wiki/en/latest/\n.. _`prospector`: https://github.com/landscapeio/prospector\n.. _`combining`: https://en.wikipedia.org/wiki/Combining_character\n.. _`bin/`: https://github.com/jquast/wcwidth/tree/master/bin\n.. _`bin/wcwidth-browser.py`: https://github.com/jquast/wcwidth/blob/master/bin/wcwidth-browser.py\n.. _`Thomas Ballinger`: https://github.com/thomasballinger\n.. _`Leta Montopoli`: https://github.com/lmontopo\n.. _`Philip Craig`: https://github.com/philipc\n.. _`PR #3`: https://github.com/jquast/wcwidth/pull/3\n.. _`PR #4`: https://github.com/jquast/wcwidth/pull/4\n.. _`PR #5`: https://github.com/jquast/wcwidth/pull/5\n.. _`PR #11`: https://github.com/jquast/wcwidth/pull/11\n.. _`PR #18`: https://github.com/jquast/wcwidth/pull/18\n.. _`PR #30`: https://github.com/jquast/wcwidth/pull/30\n.. _`PR #35`: https://github.com/jquast/wcwidth/pull/35\n.. _`PR #82`: https://github.com/jquast/wcwidth/pull/82\n.. _`PR #91`: https://github.com/jquast/wcwidth/pull/91\n.. _`PR #97`: https://github.com/jquast/wcwidth/pull/97\n.. _`PR #98`: https://github.com/jquast/wcwidth/pull/98\n.. _`PR #100`: https://github.com/jquast/wcwidth/pull/100\n.. _`Issue #101`: https://github.com/jquast/wcwidth/issues/101\n.. _`jquast/blessed`: https://github.com/jquast/blessed\n.. _`selectel/pyte`: https://github.com/selectel/pyte\n.. _`thomasballinger/curtsies`: https://github.com/thomasballinger/curtsies\n.. _`dbcli/pgcli`: https://github.com/dbcli/pgcli\n.. _`prompt-toolkit/python-prompt-toolkit`: https://github.com/prompt-toolkit/python-prompt-toolkit\n.. _`timoxley/wcwidth`: https://github.com/timoxley/wcwidth\n.. _`wcwidth(3)`:  https://man7.org/linux/man-pages/man3/wcwidth.3.html\n.. _`wcswidth(3)`: https://man7.org/linux/man-pages/man3/wcswidth.3.html\n.. _`astanin/python-tabulate`: https://github.com/astanin/python-tabulate\n.. _`janlelis/unicode-display_width`: https://github.com/janlelis/unicode-display_width\n.. _`rspeer/python-ftfy`: https://github.com/rspeer/python-ftfy\n.. _`alecrabbit/php-wcwidth`: https://github.com/alecrabbit/php-wcwidth\n.. _`Text::CharWidth`: https://metacpan.org/pod/Text::CharWidth\n.. _`bluebear94/Terminal-WCWidth`: https://github.com/bluebear94/Terminal-WCWidth\n.. _`mattn/go-runewidth`: https://github.com/mattn/go-runewidth\n.. _`grepsuzette/wcwidth`: https://github.com/grepsuzette/wcwidth\n.. _`jquast/ucs-detect`: https://github.com/jquast/ucs-detect\n.. _`Avram Lubkin`: https://github.com/avylove\n.. _`nbedos/termtosvg`: https://github.com/nbedos/termtosvg\n.. _`peterbrittain/asciimatics`: https://github.com/peterbrittain/asciimatics\n.. _`aperezdc/lua-wcwidth`: https://github.com/aperezdc/lua-wcwidth\n.. _`joachimschmidt557/zig-wcwidth`: https://github.com/joachimschmidt557/zig-wcwidth\n.. _`fumiyas/wcwidth-cjk`: https://github.com/fumiyas/wcwidth-cjk\n.. _`joshuarubin/wcwidth9`: https://github.com/joshuarubin/wcwidth9\n.. _`python-cmd2/cmd2`: https://github.com/python-cmd2/cmd2\n.. _`stratis-storage/stratis-cli`: https://github.com/stratis-storage/stratis-cli\n.. _`ihabunek/toot`: https://github.com/ihabunek/toot\n.. _`saulpw/visidata`: https://github.com/saulpw/visidata\n.. _`pip-tools`: https://pip-tools.readthedocs.io/\n.. _`sphinx`: https://www.sphinx-doc.org/\n.. |pypi_downloads| image:: https://img.shields.io/pypi/dm/wcwidth.svg?logo=pypi\n    :alt: Downloads\n    :target: https://pypi.org/project/wcwidth/\n.. |codecov| image:: https://codecov.io/gh/jquast/wcwidth/branch/master/graph/badge.svg\n    :alt: codecov.io Code Coverage\n    :target: https://app.codecov.io/gh/jquast/wcwidth/\n.. |license| image:: https://img.shields.io/pypi/l/wcwidth.svg\n    :target: https://pypi.org/project/wcwidth/\n    :alt: MIT License",
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