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    "info": {
        "author": "Renato Alves",
        "author_email": "alves.rjc@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Environment :: Console",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Operating System :: POSIX",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering",
            "Topic :: Software Development",
            "Topic :: System :: Distributed Computing"
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        "description": "About\n=====\n\n| **jug_schedule** is a `jug <https://github.com/luispedro/jug>`_ subcommand that provides automatic deployment to queueing systems.\n| Currently supports **SGE/GE** (Grid Engine), **LSF** (IBM LSF), and **SLURM**.\n\nThis project is currently experimental so bug reports are welcome.\n\nRequirements\n------------\n\nThis project depends on `drmaa <https://github.com/pygridtools/drmaa-python>`_ and obviously `jug <https://github.com/luispedro/jug>`_.\n\nInstallation\n------------\n\nInstall **jug_schedule** with::\n\n    pip install jug-schedule\n\nor from Anaconda with::\n\n    conda install -c unode jug-schedule\n\nand then simply add the following to your ``~/.config/jug/jug_user_commands.py``::\n\n    try:\n        from jug_schedule.schedule import ScheduleCommand\n        schedule = ScheduleCommand()\n    except Exception as e:\n        import sys\n        sys.stderr.write(\"Couldn't import schedule, error was {0}\\n\".format(e))\n\nIf you are running directly from git you can instead use::\n\n    import sys\n\n    sys.path.insert(0, \"/path/to/clone/of/jug_schedule/\")\n\n    try:\n        from jug_schedule.schedule import ScheduleCommand\n        schedule = ScheduleCommand()\n    except Exception as e:\n        sys.stderr.write(\"Couldn't import schedule, error was {0}\\n\".format(e))\n\n.. note::\n    If you have never setup **DRMAA** on your environment, check the *Configuration* section below.\n\nUsage\n-----\n\nIf installed properly, running ``jug`` should now include a ``schedule`` subcommand.\n\nRunning it will try to detect a queueing system and submit jobs to it.\n``jug schedule`` will only produce warning and errors. Use ``--verbose debug`` for detailed messages.\n\n``jug status`` will behave as usual and is the recommended way to check progress of execution.\n\nScript\n^^^^^^\n\nIf your system requires additional setup for jug to run on remote servers you will need to use the `--script` option.\nThe script should call `jug` with all given arguments. As an example::\n\n    #!/usr/bin/env bash\n\n    # Enabling modules (http://modules.sourceforge.net/) in the current shell\n    if [ -f /etc/profile.d/modules.sh ]; then\n        source /etc/profile.d/modules.sh\n    fi\n\n    # Loading (ana)conda\n    module add conda\n    # and an environment called py3 where jug was installed\n    source activate py3\n\n    # Then calling jug with all given arguments. Make sure to keep the quotes on $@\n    jug \"$@\"\n\nAssuming the above content is saved in a file `script.helper` you can then call::\n\n    jug schedule --script script.helper\n\nif instead you give it the same name as your jugfile it will be automatically loaded::\n\n    $ ls\n    myjugfile.helper myjugfile.py\n    $ jug schedule myjugfile.py  # <- will use myjugfile.helper\n\n\nConfiguration\n-------------\n\n**jug_schedule** relies on **DRMAA** for interaction with the queueing system.\n\n| **DRMAA** support is limited and its quality varies considerably across platforms.\n| Currently supported platforms include **LSF**, **SGE** and **SLURM**.\n\nIn order to use ``jug_schedule`` your environment needs to define ``DRMAA_LIBRARY_PATH``.\nIf running ``env | grep DRMAA_LIBRARY_PATH`` returns no match, ask your system administrators for the location of this library.\n\nThen use::\n\n    export DRMAA_LIBRARY_PATH=/path/to/libdrmaa.so\n\nYou only need to set this option on the environment that runs ``jug schedule``.\n\n.. note::\n    You can also use ``contrib/find_libdrmaa`` to locate ``libdrmaa.so`` on your system.\n    Check the ``README`` inside the ``contrib/`` folder for more information.\n\nResources\n---------\n\nAn additional feature of **jug_schedule** is the ability to define job resources.\n\nIf you already know jug's ``TaskGenerator`` decorator you can simply replace it with the following where applicable::\n\n    from jug_schedule.resources import ResourcesTaskGenerator\n\n    @ResourcesTaskGenerator(cpu=10, mem=100, queue=\"default\")\n    def func(...):\n        ...\n\nSupported arguments include: ``cpu``, ``mem`` (in MB), ``queue`` and ``custom`` for arbitrary options.\n\n.. note::\n    When using ``custom``, be aware that providing invalid or misformatted options may cause crashes.\n    SLURM is a known offender as reported `on this issue <https://git.io/vQzY7>`_.\n\nCommand-line options\n--------------------\n\nThe following options are available::\n\n    --script            - command used to run jug on the cluster. Point this to a shell script if you need to setup jug's environment prior to execution\n    --max-jobs          - how big is the pool of jug jobs (max number of simultaneous jobs)\n    --max-array         - when submitting jobs to the queue system, limit the maximum number of jobs per submission\n    --logs              - where to write job logs. Defaults to a directory 'jug_logs' in the current directory.\n    --cycle-time        - how many seconds to wait between every interaction with the queue system. Defaults to 60\n    --stop-on-error     - jug_schedule will continue until all jobs fail. Default is to continue queueing jobs when a job fails.\n    --recycle           - when a job fails, instead of removing one job from the pool, recycle it and keep the pool size constant.\n\n\n",
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        "license": "MIT",
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        "name": "jug-schedule",
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