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        "author": "David Schoonover",
        "author_email": "dsc@less.ly",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.5",
            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "Topic :: Software Development",
            "Topic :: Software Development :: Libraries",
            "Topic :: Utilities"
        ],
        "description": "bunch\r\n=====\r\n\r\nBunch is a dictionary that supports attribute-style access, a la JavaScript.\r\n\r\n>>> b = Bunch()\r\n>>> b.hello = 'world'\r\n>>> b.hello\r\n'world'\r\n>>> b['hello'] += \"!\"\r\n>>> b.hello\r\n'world!'\r\n>>> b.foo = Bunch(lol=True)\r\n>>> b.foo.lol\r\nTrue\r\n>>> b.foo is b['foo']\r\nTrue\r\n\r\n\r\nDictionary Methods\r\n------------------\r\n\r\nA Bunch is a subclass of ``dict``; it supports all the methods a ``dict`` does:\r\n\r\n>>> b.keys()\r\n['foo', 'hello']\r\n\r\nIncluding ``update()``:\r\n\r\n>>> b.update({ 'ponies': 'are pretty!' }, hello=42)\r\n>>> print repr(b)\r\nBunch(foo=Bunch(lol=True), hello=42, ponies='are pretty!')\r\n\r\nAs well as iteration:\r\n\r\n>>> [ (k,b[k]) for k in b ]\r\n[('ponies', 'are pretty!'), ('foo', Bunch(lol=True)), ('hello', 42)]\r\n\r\nAnd \"splats\":\r\n\r\n>>> \"The {knights} who say {ni}!\".format(**Bunch(knights='lolcats', ni='can haz'))\r\n'The lolcats who say can haz!'\r\n\r\n\r\nSerialization\r\n-------------\r\n\r\nBunches happily and transparently serialize to JSON and YAML.\r\n\r\n>>> b = Bunch(foo=Bunch(lol=True), hello=42, ponies='are pretty!')\r\n>>> import json\r\n>>> json.dumps(b)\r\n'{\"ponies\": \"are pretty!\", \"foo\": {\"lol\": true}, \"hello\": 42}'\r\n\r\nIf JSON support is present (``json`` or ``simplejson``), ``Bunch`` will have a ``toJSON()`` method which returns the object as a JSON string.\r\n\r\nIf you have PyYAML_ installed, Bunch attempts to register itself with the various YAML Representers so that Bunches can be transparently dumped and loaded.\r\n\r\n>>> b = Bunch(foo=Bunch(lol=True), hello=42, ponies='are pretty!')\r\n>>> import yaml\r\n>>> yaml.dump(b)\r\n'!bunch.Bunch\\nfoo: !bunch.Bunch {lol: true}\\nhello: 42\\nponies: are pretty!\\n'\r\n>>> yaml.safe_dump(b)\r\n'foo: {lol: true}\\nhello: 42\\nponies: are pretty!\\n'\r\n\r\nIn addition, Bunch instances will have a ``toYAML()`` method that returns the YAML string using ``yaml.safe_dump()``. This method also replaces ``__str__`` if present, as I find it far more readable. You can revert back to Python's default use of ``__repr__`` with a simple assignment: ``Bunch.__str__ = Bunch.__repr__``. The Bunch class will also have a static method ``Bunch.fromYAML()``, which loads a Bunch out of a YAML string.\r\n\r\nFinally, Bunch converts easily and recursively to (``unbunchify()``, ``Bunch.toDict()``) and from (``bunchify()``, ``Bunch.fromDict()``) a normal ``dict``, making it easy to cleanly serialize them in other formats.\r\n\r\n\r\nMiscellaneous\r\n-------------\r\n\r\n* It is safe to ``import *`` from this module. You'll get: ``Bunch``, ``bunchify``, and ``unbunchify``.\r\n\r\n* Ample doctests::\r\n\r\n    $ python -m bunch.test -v\r\n\r\n\r\nFeedback\r\n--------\r\n\r\nOpen a ticket at http://github.com/dsc/bunch or send me an email at dsc@less.ly .\r\n\r\n.. _PyYAML: http://pyyaml.org/wiki/PyYAML",
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        "license": "MIT",
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        "name": "bunch",
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        "summary": "A dot-accessible dictionary (a la JavaScript objects)",
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