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        "author": "Javier Ruere",
        "author_email": "javier@ruere.com.ar",
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        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)",
            "Operating System :: POSIX",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: Implementation :: CPython",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "# multiprocessing-logging\n\n[![Run Status](https://api.shippable.com/projects/57c8a389407d610f0052c211/badge?branch=master)](https://app.shippable.com/projects/57c8a389407d610f0052c211)\n[![Coverage Badge](https://api.shippable.com/projects/57c8a389407d610f0052c211/coverageBadge?branch=master)](https://app.shippable.com/projects/57c8a389407d610f0052c211)\n[![Supported Python versions](https://img.shields.io/pypi/pyversions/multiprocessing-logging.svg)](https://pypi.python.org/pypi/multiprocessing-logging/)\n[![License](https://img.shields.io/pypi/l/multiprocessing-logging.svg)](https://pypi.python.org/pypi/multiprocessing-logging/)\n\n\nWhen using the `multiprocessing` module, logging becomes less useful since\nsub-processes should log to individual files/streams or there's the risk of\nrecords becoming garbled.\n\nThis simple module implements a `Handler` that when set on the root\n`Logger` will handle tunneling the records to the main process so that\nthey are handled correctly.\n\nIt's currently tested in Linux and Python 2.7 & 3.5+.\n\nPypy3 hangs on the tests so I don't recommend using it.\n\nPypy appears to be working, recently.\n\nIt was tested by users and reported to work on Windows with Python 3.5 and 3.6.\n\n# Origin\n\nThis library was taken verbatim from a [StackOverflow post](http://stackoverflow.com/questions/641420/how-should-i-log-while-using-multiprocessing-in-python)\nand extracted into a module so that I wouldn't have to copy the code in every\nproject.\n\nLater, several improvements have been contributed.\n\n# Usage\n\nBefore you start logging but after you configure the logging framework (maybe with `logging.basicConfig(...)`), do the following:\n\n```py\nimport multiprocessing_logging\n\nmultiprocessing_logging.install_mp_handler()\n```\n\nand that's it.\n\n## With multiprocessing.Pool\n\nWhen using a Pool, make sure `install_mp_handler` is called before the Pool is instantiated, for example:\n\n```py\nimport logging\nfrom multiprocessing import Pool\nfrom multiprocessing_logging import install_mp_handler\n\nloggig.basicConfig(...)\ninstall_mp_handler()\npool = Pool(...)\n```\n\n\n",
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