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    "info": {
        "author": "Robert Smallshire",
        "author_email": "rob@sixty-north.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: Python Software Foundation License",
            "Programming Language :: Python :: 3 :: Only",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "Multiprocessing on Dill\n=======================\n\nThis project is a friendly fork \u2013 for Python 3 \u2013 of the Python Standard Library `multiprocessing\n<https://docs.python.org/3/library/multiprocessing.html>`_ module, which uses the third-party\n`dill <https://pypi.python.org/pypi/dill>`_ serializer instead of the standard ``pickle`` serializer.  This overcomes\nmany shortcomings of ``pickle`` which prevent multiprocessing being used with lambdas, closures and other useful Python\nobjects.\n\nThe easiest way to use ``multiprocessing_on_dill`` in place of ``multiprocessing`` is simply to replace any import\nstatements like this::\n\n    import multiprocessing\n\nwith::\n\n    import multiprocessing_on_dill as multiprocessing\n\nand import statements like this::\n\n    from multiprocessing import Pool\n\nwith::\n\n    from multiprocessing_on_dill import Pool\n\nWith such import changes in place, it will now be possible to use functions like ``Pool.map()`` with lambdas::\n\n    pool = Pool(12)\n    result = pool.map(lambda x: x*x, range(10000))\n\nEverything else should be identical to the Python version.\n\nYou can determine from which version of the Python Standard Library ``multiprocessing_on_dill`` has been forked, by\nexamining the ``multiprocessing_on_dill.__version__`` attribute.\n\n\nFuture\n======\n\nIt is our hope that one day the Python Standard Library ``pickle`` module will gain the additional capabilities of\n``dill`` and there will no longer be a need for ``multiprocessing_on_dill`` to exist.",
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        "license": "PSFL",
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        "summary": "A friendly fork of multiprocessing which uses dill instead of pickle",
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