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        "description": "#####\nDumpy\n#####\n\nDumpy is a binary parser with a declarative syntax. All you need to\ndo is telling the framework what your data look like, and let Dumpy\ndo the rest.\n\nDumpy supports python versions >= 3.0.\n\n##########\nInstalling\n##########\n\nJust use pip or tools alike:\n\n.. code-block:: sh\n\n    pip install dumpy\n\n#####\nUsage\n#####\n\nTo parse a pre-defined binary structure, you need to define a class\nfor that structure. For example, a class for `pascal strings`_ :\n\n.. code-block:: python3\n\n    import dumpy.types as dt\n\n    class PString(dict, metaclass=dt.DumpyMeta):\n        __field_specs__ = (\n            dt.field('len', dt.UInt8, default=dt.count_of('data')),\n            dt.field('data', dt.UInt8, count=dt.counted_by('len')),\n        )\n\n    s = PString()\n    s['data'] = b'\\x01\\x02\\x03\\x04'\n\n    # The length field is calculated automatically.\n    assert s['len'] == 4\n\n    assert s.pack() == b'\\x04\\x01\\x02\\x03\\x04'\n\n    s2 = s.unpack(s.pack())\n    assert s2['len'] == 4\n    assert bytes(s2['data']) == b'\\x01\\x02\\x03\\x04'\n\nSee ``demo/png_packer.py`` for a real-world format parser.\n\n.. _pascal strings: http://en.wikipedia.org/wiki/String_(computer_science)#Length-prefixed\n\n############\nKnown Issues\n############\n\n1. The type checking and conversion code in Dumpy is kind of naive,\n   It does not check element types in a sequence.\n\n2. Dumpy is **very slow** at current stage. You may not want to use\n   it to parse network messages or huge data structures.",
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