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        "author": "Bogdan Kulynych",
        "author_email": "hello@bogdankulynych.me",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: Implementation :: CPython",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "**************\ndefaultcontext\n**************\n\n.. image:: https://badge.fury.io/py/defaultcontext.svg\n   :target: https://badge.fury.io/py/defaultcontext\n.. image:: https://travis-ci.org/bogdan-kulynych/defaultcontext.svg?branch=master\n   :target: https://travis-ci.org/bogdan-kulynych/defaultcontext\n\n------------\n\n*Tiny util for creating `tensorflow`_-like context managers for default instances of classes.*\n\n\nInstallation\n============\n\nYou can install ``defaultcontext`` using pip::\n\n    pip install defaultcontext\n\n\nUsage\n=====\n\nThe library provides the ``with_default_context`` class decorator which simply does two things:\n\n- Adds static method ``Class.get_default()`` which returns the default object in the current context block.\n- Adds method ``instance.as_default()`` to the class, which manages a context within which the ``instance``\n  becomes default\n\nThis is useful for creating psuedo-global objects that can be accessed from any code executed within a\ngiven context block without passing such objects around.\n\nThis idea is inspired by ``Graph`` and ``Session`` classes from Google's `tensorflow`_.\n\nBasic usage:\n\n.. code-block::  python\n\n    from defaultcontext import with_default_context\n\n\n    @with_default_context\n    class Environment:\n        def __init__(self, name):\n            self.name = name\n\n        def __str__(self):\n            return 'Environment %s' % self.name\n\n\n    with Environment(name='A').as_default():\n        print(Environment.get_default())      # A\n\n    with Environment(name='B').as_default():\n        print(Environment.get_default())      # B\n\n    print(Environment.get_default())          # None\n\nIf ``with_default_context`` was called without parameters the global default value of a class will be ``None``.\nThe global default can be added using ``global_default_factory``:\n\n.. code-block::  python\n\n    def make_default_env():\n        return Environment(name='default')\n\n    @with_default_context(global_default_factory=make_default_env)\n    class Environment:\n        def __init__(self, name):\n            self.name = name\n\n        def __str__(self):\n            return self.name\n\n    Environment.get_default()                      # default\n\n    with Environment(name='custom').as_default():\n        print(Environment.get_default())           # custom\n\n    Environment.get_default()                      # default\n\nAlternatively, if the class can be constructed without arguments, global default can be set to ``Class()`` by\nsetting ``use_empty_init`` to ``True``:\n\n.. code-block::  python\n\n    @with_default_context(use_empty_init=True)\n    class Environment:\n        def __init__(self, name='default'):\n            self.name = name\n\n        def __str__(self):\n            return self.name\n\n    Environment.get_default()                      # default\n\n    with Environment(name='custom').as_default():\n        print(Environment.get_default())           # custom\n\n    Environment.get_default()                      # default\n\n\n.. _tensorflow: https://www.tensorflow.org/\n\n\n\n",
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