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    "info": {
        "author": "David Kuryakin",
        "author_email": "dkuryakin@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Environment :: Console",
            "Environment :: X11 Applications :: Qt",
            "Intended Audience :: Developers",
            "Intended Audience :: Education",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Operating System :: POSIX :: Linux",
            "Programming Language :: Python :: 2",
            "Topic :: Internet :: WWW/HTTP :: Browsers",
            "Topic :: Scientific/Engineering :: Information Analysis"
        ],
        "description": "===========\nconstractor\n===========\n\nConstractor (derived from \"Content Extractor') allows one to use machine learning for web pages content extraction.\nLibrary provide following functionality:\n\n* Extendable features api.\n* Gui tools for simple train-set creation.\n* Simple training and testing process.\n* Simple usage of trained model.\n* Models dumping.\n* etc\n\nInstallation\n============\n\nNOTE: Project was developed and tested under Ubuntu 12.04. Other operation systems may require enhancements of library.\n\nUbuntu >=12.04 instructions:\n\n* Install apt dependecies: ``sudo apt-get install pip gcc g++ python-dev python-qt4``\n\n* Install constractor: ``sudo pip install constractor``\n\nUsage\n=====\n\nFollowing code will run gui train helper::\n\n    #!/usr/bin/env python\n    from constractor.train import GuiTrainer\n\n    if __name__ == '__main__':\n        GuiTrainer()\n\nAnd following code will print html of predicted element in DOM::\n\n    #!/usr/bin/env python\n    from constractor.parser import Parser\n\n    if __name__ == '__main__':\n        predicted = Parser('https://pypi.python.org', model_file='model.txt').predicted\n        for element in predicted:\n            print unicode(element.toInnerXml()).encode('utf-8')\n\nContribution\n============\n\nProject is completely open for contribution. See more on bitbucket repo: https://bitbucket.org/dkuryakin/constractor",
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