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        "author": "Rossen Georgiev",
        "author_email": "rossen@rgp.io",
        "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 :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: Implementation :: PyPy",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "|pypi| |license| |coverage| |scru| |master_build|\n\nPure python module for (de)serialization to and from VDF that works just like ``json``.\n\nTested and works on ``python2.7``, ``python3.3+``, ``pypy`` and ``pypy3``.\n\nVDF is Valve's KeyValue text file format\n\nhttps://developer.valvesoftware.com/wiki/KeyValues\n\n| Supported versions: ``kv1``\n| Unsupported: ``kv2`` and ``kv3``\n\nInstall\n-------\n\nYou can grab the latest release from https://pypi.org/project/vdf/ or via ``pip``\n\n.. code:: bash\n\n    pip install vdf\n\nInstall the current dev version from ``github``\n\n.. code:: bash\n\n    pip install git+https://github.com/ValvePython/vdf\n\n\nProblems & solutions\n--------------------\n\n- There are known files that contain duplicate keys. This is supported the format and\n  makes mapping to ``dict`` impossible. For this case the module provides ``vdf.VDFDict``\n  that can be used as mapper instead of ``dict``. See the example section for details.\n\n- By default de-serialization will return a ``dict``, which doesn't preserve nor guarantee\n  key order due to `hash randomization`_. If key order is important then\n  I suggest using ``collections.OrderedDict``, or ``vdf.VDFDict``.\n\nExample usage\n-------------\n\nFor text representation\n\n.. code:: python\n\n    import vdf\n\n    # parsing vdf from file or string\n    d = vdf.load(open('file.txt'))\n    d = vdf.loads(vdf_text)\n    d = vdf.parse(open('file.txt'))\n    d = vdf.parse(vdf_text)\n\n    # dumping dict as vdf to string\n    vdf_text = vdf.dumps(d)\n    indented_vdf = vdf.dumps(d, pretty=True)\n\n    # dumping dict as vdf to file\n    vdf.dump(d, open('file2.txt','w'), pretty=True)\n\n\nFor binary representation\n\n.. code:: python\n\n    d = vdf.binary_loads(vdf_bytes)\n    b = vdf.binary_dumps(d)\n\n    # alternative format - VBKV\n\n    d = vdf.binary_loads(vdf_bytes, alt_format=True)\n    b = vdf.binary_dumps(d, alt_format=True)\n\n    # VBKV with header and CRC checking\n\n    d = vdf.vbkv_loads(vbkv_bytes)\n    b = vdf.vbkv_dumps(d)\n\nUsing an alternative mapper\n\n.. code:: python\n\n  d = vdf.loads(vdf_string, mapper=collections.OrderedDict)\n  d = vdf.loads(vdf_string, mapper=vdf.VDFDict)\n\n``VDFDict`` works much like the regular ``dict``, except it handles duplicates and remembers\ninsert order. Additionally, keys can only be of type ``str``. The most important difference\nis that when trying to assigning a key that already exist it will create a duplicate instead\nof reassign the value to the existing key.\n\n.. code:: python\n\n  >>> d = vdf.VDFDict()\n  >>> d['key'] = 111\n  >>> d['key'] = 222\n  >>> d\n  VDFDict([('key', 111), ('key', 222)])\n  >>> d.items()\n  [('key', 111), ('key', 222)]\n  >>> d['key']\n  111\n  >>> d[(0, 'key')]  # get the first duplicate\n  111\n  >>> d[(1, 'key')]  # get the second duplicate\n  222\n  >>> d.get_all_for('key')\n  [111, 222]\n\n  >>> d[(1, 'key')] = 123  # reassign specific duplicate\n  >>> d.get_all_for('key')\n  [111, 123]\n\n  >>> d['key'] = 333\n  >>> d.get_all_for('key')\n  [111, 123, 333]\n  >>> del d[(1, 'key')]\n  >>> d.get_all_for('key')\n  [111, 333]\n  >>> d[(1, 'key')]\n  333\n\n  >>> print vdf.dumps(d)\n  \"key\" \"111\"\n  \"key\" \"333\"\n\n  >>> d.has_duplicates()\n  True\n  >>> d.remove_all_for('key')\n  >>> len(d)\n  0\n  >>> d.has_duplicates()\n  False\n\n\n.. |pypi| image:: https://img.shields.io/pypi/v/vdf.svg?style=flat&label=latest%20version\n    :target: https://pypi.org/project/vdf/\n    :alt: Latest version released on PyPi\n\n.. |license| image:: https://img.shields.io/pypi/l/vdf.svg?style=flat&label=license\n    :target: https://pypi.org/project/vdf/\n    :alt: MIT License\n\n.. |coverage| image:: https://img.shields.io/coveralls/ValvePython/vdf/master.svg?style=flat\n    :target: https://coveralls.io/r/ValvePython/vdf?branch=master\n    :alt: Test coverage\n\n.. |scru| image:: https://scrutinizer-ci.com/g/ValvePython/vdf/badges/quality-score.png?b=master\n    :target: https://scrutinizer-ci.com/g/ValvePython/vdf/?branch=master\n    :alt: Scrutinizer score\n\n.. |master_build| image:: https://img.shields.io/travis/ValvePython/vdf/master.svg?style=flat&label=master%20build\n    :target: http://travis-ci.org/ValvePython/vdf\n    :alt: Build status of master branch\n\n.. _DuplicateOrderedDict: https://github.com/rossengeorgiev/dota2_notebooks/blob/master/DuplicateOrderedDict_for_VDF.ipynb\n\n.. _hash randomization: https://docs.python.org/2/using/cmdline.html#envvar-PYTHONHASHSEED\n\n\n",
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        "keywords": "valve keyvalue vdf tf2 dota2 csgo",
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