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        "author": "Picatureanu Nicusor",
        "author_email": "nicolaepicatureanu@gmail.com",
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            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3.5",
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            "Topic :: Software Development :: Libraries :: Python Modules",
            "Topic :: Text Processing :: General"
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        "description": "Weka - Python wrapper for Weka Graphics\n==========================================\n\nOverview\n--------\n\nProvides a convenient wrapper for calling Weka from Python to generate a graph with the data from an arff file.\n\nInstallation\n------------\n\nFirst install the Weka and LibSVM Java libraries. On Debian/Ubuntu this is simply:\n\n    sudo apt-get install weka libsvm-java\n\nThen install the Python package with pip:\n\n    sudo pip install QtWekaWrapper\n\nYou can find the module on the [PyPi](https://pypi.org/project/QtWekaWrapper/).\n\nUsage\n-----\n\nCreate a Python 3 environment with the 'virtualenv' module and after activate it. Install the module with `pip install QtWekaWrapper` command and you can instantiate the qt window where the arff file will be loaded:\n\n    from QtWekaWrapper import qtwekawrapper\n    window = qtwekawrapper.run_qt_window()\n\nDevelopment\n-----------\n\nTests require the Python development headers to be installed, which you can install on Ubuntu with:\n\n    sudo apt-get install python-dev python3-dev python3.4-dev\n\nTo run unittests across multiple Python versions, install:\n\n    sudo apt-get install python3.4-minimal python3.4-dev python3.5-minimal python3.5-dev\n\nTo run all [tests](http://tox.readthedocs.org/en/latest/):\n\n    export TESTNAME=; tox\n\n\n\n",
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        "keywords": "",
        "license": "MIT License",
        "maintainer": "",
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        "name": "QtWekaWrapper",
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        "summary": "A Python wrapper for the Weka graphics .",
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