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        "author_email": "vmalloc@gmail.com",
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            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
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            "Topic :: Software Development",
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        "description": "[![Build Status](https://travis-ci.org/Infinidat/munch.svg?branch=master)](https://travis-ci.org/Infinidat/munch)\n[![Latest Version](https://img.shields.io/pypi/v/munch.svg)](https://pypi.python.org/pypi/munch/)\n[![Supported Python versions](https://img.shields.io/pypi/pyversions/munch.svg)](https://pypi.python.org/pypi/munch/)\n[![Downloads](https://img.shields.io/pypi/dm/munch.svg)](https://pypi.python.org/pypi/munch/)\n\nmunch\n==========\n\nmunch is a fork of David Schoonover's **Bunch** package, providing similar functionality. 99% of the work was done by him, and the fork was made mainly for lack of responsiveness for fixes and maintenance on the original code.\n\nMunch is a dictionary that supports attribute-style access, a la JavaScript:\n\n```python\n\n>>> b = Munch()\n>>> b.hello = 'world'\n>>> b.hello\n'world'\n>>> b['hello'] += \"!\"\n>>> b.hello\n'world!'\n>>> b.foo = Munch(lol=True)\n>>> b.foo.lol\nTrue\n>>> b.foo is b['foo']\nTrue\n\n```\n\n\nDictionary Methods\n------------------\n\nA Munch is a subclass of ``dict``; it supports all the methods a ``dict`` does:\n\n```python\n\n>>> list(b.keys())\n['hello', 'foo']\n\n```\n\nIncluding ``update()``:\n\n```python\n\n>>> b.update({ 'ponies': 'are pretty!' }, hello=42)\n>>> print(repr(b))\nMunch({'hello': 42, 'foo': Munch({'lol': True}), 'ponies': 'are pretty!'})\n\n```\n\nAs well as iteration:\n\n```python\n\n>>> [ (k,b[k]) for k in b ]\n[('hello', 42), ('foo', Munch({'lol': True})), ('ponies', 'are pretty!')]\n\n```\n\nAnd \"splats\":\n\n```python\n\n>>> \"The {knights} who say {ni}!\".format(**Munch(knights='lolcats', ni='can haz'))\n'The lolcats who say can haz!'\n\n```\n\n\nSerialization\n-------------\n\nMunches happily and transparently serialize to JSON and YAML.\n\n```python\n\n>>> b = Munch(foo=Munch(lol=True), hello=42, ponies='are pretty!')\n>>> import json\n>>> json.dumps(b)\n'{\"foo\": {\"lol\": true}, \"hello\": 42, \"ponies\": \"are pretty!\"}'\n\n```\n\nIf JSON support is present (``json`` or ``simplejson``), ``Munch`` will have a ``toJSON()`` method which returns the object as a JSON string.\n\nIf you have [PyYAML](http://pyyaml.org/wiki/PyYAML) installed, Munch attempts to register itself with the various YAML Representers so that Munches can be transparently dumped and loaded.\n\n```python\n\n>>> b = Munch(foo=Munch(lol=True), hello=42, ponies='are pretty!')\n>>> import yaml\n>>> yaml.dump(b)\n'!munch.Munch\\nfoo: !munch.Munch\\n  lol: true\\nhello: 42\\nponies: are pretty!\\n'\n>>> yaml.safe_dump(b)\n'foo:\\n  lol: true\\nhello: 42\\nponies: are pretty!\\n'\n\n```\n\nIn addition, Munch 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: ``Munch.__str__ = Munch.__repr__``. The Munch class will also have a static method ``Munch.fromYAML()``, which loads a Munch out of a YAML string.\n\nFinally, Munch converts easily and recursively to (``unmunchify()``, ``Munch.toDict()``) and from (``munchify()``, ``Munch.fromDict()``) a normal ``dict``, making it easy to cleanly serialize them in other formats.\n\n\nDefault Values\n--------------\n\n``DefaultMunch`` instances return a specific default value when an attribute is missing from the collection. Like ``collections.defaultdict``, the first argument is the value to use for missing keys:\n\n```python\n\n>>> undefined = object()\n>>> b = DefaultMunch(undefined, {'hello': 'world!'})\n>>> b.hello\n'world!'\n>>> b.foo is undefined\nTrue\n\n```\n\n``DefaultMunch.fromDict()`` also takes the ``default`` argument:\n\n```python\n\n>>> undefined = object()\n>>> b = DefaultMunch.fromDict({'recursively': {'nested': 'value'}}, undefined)\n>>> b.recursively.nested == 'value'\nTrue\n>>> b.recursively.foo is undefined\nTrue\n\n```\n\nOr you can use ``DefaultFactoryMunch`` to specify a factory for generating missing attributes. The first argument is the factory:\n\n```python\n\n>>> b = DefaultFactoryMunch(list, {'hello': 'world!'})\n>>> b.hello\n'world!'\n>>> b.foo\n[]\n>>> b.bar.append('hello')\n>>> b.bar\n['hello']\n\n```\n\n\nMiscellaneous\n-------------\n\n* It is safe to ``import *`` from this module. You'll get: ``Munch``, ``DefaultMunch``, ``DefaultFactoryMunch``, ``munchify`` and ``unmunchify``.\n* Ample Tests. Just run ``pip install tox && tox`` from the project root.\n\nFeedback\n--------\n\nOpen a ticket / fork the project on [GitHub](http://github.com/Infinidat/munch).\n\n\n\n",
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