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        "author": "Ryan Kelly",
        "author_email": "ryan@rfk.id.au",
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        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Topic :: Software Development :: Libraries"
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        "description": "extprot:  compact, efficient, extensible binary serialization format\n\nThis is a python implementation of the 'extprot' serialization scheme, the\ndetails of which are described at:\n\n    http://eigenclass.org/R2/writings/extprot-extensible-protocols-intro\n\nSimilar to Google's Protocol Buffers and Apache Thrift, extprot allows the\ndefinition of structured data \"messages\".  Messages are essentially a set\nof typed key-value pairs that can be efficiently serialized to/from a\ncompact binary format, and are defined in a language-neutral \"protocol\" file.\nHere's a simple example of an extprot message:\n\n    message person = {\n        id:   int;\n        name: string;\n        emails: [ string ]\n    }\n\nHere the 'person' message contains three fields: 'id' is an integer, 'name'\nis a string, and 'emails' is a list of strings. Such protocol descriptions\nare compiled into a set of Python classes that can be manipulated using \nstandard syntax and idioms.  If the above protocol is recorded in the file\n\"person.proto\", here's a simple example of how it might be used:\n\n    >>> extprot.import_protocol(\"person.proto\",globals())\n    >>> p1 = person(1,\"Guido\")\n    >>> print p1.emails   # fields use a sensible default if possible\n    []\n    >>> p1.emails.append(\"guido@python.org\")\n    >>> p1.emails.append(7)   # all fields are dynamically typechecked\n    Traceback (mosts recent call last):\n        ...\n    ValueError: not a valid String: 7\n    >>> print repr(p1.to_string())\n    '\\x01\\x1f\\x03\\x00\\x02\\x03\\x05Guido\\x05\\x13\\x01\\x03\\x10guido@python.org'\n    >>> print person.from_string(p1.to_string()).name\n    'Guido'\n    >>>\n    \nExtprot compares favourably to related serialization technologies:\n\n   * powerful type system;  strongly-typed tuples and lists, tagged disjoint\n                            unions, parametric polymorphism.\n   * self-delimiting data;  all serialized messages indicate their length,\n                            allowing easy streaming and skipping of messages.\n   * self-describing data;  the 'skeleton' of a message can be reconstructed\n                            without having the protocol definition.\n   * compact binary format; comparable to protocol-buffers/thrift, but with\n                            some overhead due to self-delimiting nature.\n\nThese features combine to make extprot strongly extensible, often allowing\nmessages to maintain backward *and* forward compatibility across protocol \nextensions that include: adding fields to a message, adding elements to a\ntuple, adding cases to a disjoint union, and promoting a primitive type into\na tuple, list or union.\n\nThe function extprot.import_protocol() will dynamically load a protocol file\nand convert it into the corresponding python class structure. This is quite\nconvenient while developing a protocol since it avoids an extra compilation\nstep, but it does add some startup overhead and requires the pyparsing module.\n\nTo compile a protocol definition into python sourcecode for the corresponding\nclass definitions, use the function extprot.compile_protocol() or pipe the file\nthrough extprot/compiler.py like so:\n\n  $ cat mydefs.proto | python extprot/compiler.py > mydefs.py",
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        "keywords": "serialization protocol",
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