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    "info": {
        "author": "Luis Pedro Coelho",
        "author_email": "luis@luispedro.org",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "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"
        ],
        "description": "===========================================\nJug: A Task-Based Parallelization Framework\n===========================================\n\nJug allows you to write code that is broken up into\ntasks and run different tasks on different processors.\n\n.. image:: https://travis-ci.org/luispedro/jug.png\n       :target: https://travis-ci.org/luispedro/jug\n\n.. image:: https://zenodo.org/badge/205237.svg\n   :target: https://zenodo.org/badge/latestdoi/205237\n\n.. image:: https://anaconda.org/conda-forge/jug/badges/installer/conda.svg\n    :target: https://anaconda.org/conda-forge/jug\n\n.. image:: https://img.shields.io/badge/CITATION-doi.org%2F10.5334%2Fjors.161-green.svg\n   :target: http://doi.org/10.5334/jors.161\n\n\nIt uses the filesystem to communicate between processes and\nworks correctly over NFS, so you can coordinate processes on\ndifferent machines.\n\nJug is a pure Python implementation and should work on any platform.\n\nPython 2.6/2.7 and Python 3.3+ are supported.\n\n*Website*: `http://luispedro.org/software/jug <http://luispedro.org/software/jug>`__\n\n*Documentation*: `https://jug.readthedocs.org/ <https://jug.readthedocs.org/>`__\n\n*Video*: On `vimeo <http://vimeo.com/8972696>`__ or `showmedo\n<http://showmedo.com/videotutorials/video?name=9750000;fromSeriesID=975>`__\n\n*Mailing List*: `http://groups.google.com/group/jug-users\n<http://groups.google.com/group/jug-users>`__\n\n\nInstall\n-------\n\nYou can install Jug with pip::\n\n    pip install Jug\n\nor use, if you are using `conda <http://anaconda.org/>`__, you can install jug\nfrom `conda-forge <https://conda-forge.github.io/>`__ using the following\ncommands::\n\n    conda config --add channels conda-forge\n    conda install jug\n\nCitation\n--------\n\nIf you use Jug to generate results for a scientific publication, please cite\n\n    Coelho, L.P., (2017). Jug: Software for Parallel Reproducible Computation in\n    Python. Journal of Open Research Software. 5(1), p.30.\n\n    http://doi.org/10.5334/jors.161\n\n\nShort Example\n-------------\n\nHere is a one minute example. Save the following to a file called ``primes.py``\n(if you have installed jug, you can obtain a slightly longer version of this\nexample by running ``jug demo`` on the command line)::\n\n    from jug import TaskGenerator\n    from time import sleep\n\n    @TaskGenerator\n    def is_prime(n):\n        sleep(1.)\n        for j in range(2,n-1):\n            if (n % j) == 0:\n                return False\n        return True\n\n    primes100 = [is_prime(n) for n in range(2,101)]\n\nThis is a brute-force way to find all the prime numbers up to 100. Of course,\nthis is only for didactical purposes, normally you would use a better method.\nSimilarly, the ``sleep`` function is so that it does not run too fast. Still,\nit illustrates the basic functionality of Jug for embarassingly parallel\nproblems.\n\nType ``jug status primes.py`` to get::\n\n    Task name                  Waiting       Ready    Finished     Running\n    ----------------------------------------------------------------------\n    primes.is_prime                  0          99           0           0\n    ......................................................................\n    Total:                           0          99           0           0\n\n\nThis tells you that you have 99 tasks called ``primes.is_prime`` ready to run.\nSo run ``jug execute primes.py &``. You can even run multiple instances in the\nbackground (if you have multiple cores, for example). After starting 4\ninstances and waiting a few seconds, you can check the status again (with ``jug\nstatus primes.py``)::\n\n    Task name                  Waiting       Ready    Finished     Running\n    ----------------------------------------------------------------------\n    primes.is_prime                  0          63          32           4\n    ......................................................................\n    Total:                           0          63          32           4\n\n\nNow you have 32 tasks finished, 4 running, and 63 still ready. Eventually, they\nwill all finish and you can inspect the results with ``jug shell primes.py``.\nThis will give you an ``ipython`` shell. The `primes100` variable is available,\nbut it is an ugly list of `jug.Task` objects. To get the actual value, you call\nthe `value` function::\n\n    In [1]: primes100 = value(primes100)\n\n    In [2]: primes100[:10]\n    Out[2]: [True, True, False, True, False, True, False, False, False, True]\n\nTestimonials\n------------\n\n\"I've been using jug with great success to distribute the running of a\nreasonably large set of parameter combinations\" - Andreas Longva\n\nWhat's New\n----------\n\n\nversion **1.6.9** (Tue Aug 6 2019)\n\n- Fix saving on newer version of numpy\n\nversion **1.6.8** (Wed July 10 2019)\n\n- Add ``cached_glob()`` function\n- Fix NoLoad (issue #73)\n- Fix ``jug shell``'s invalidate function with Tasklets (issue #77)\n\nversion **1.6.7** (Fri Apr 13 2018)\n\n- Fix issue with deeply recursive dependency structures and barrier()\n- Allow mapreduce.map() results to be used as dependencies\n\nversion **1.6.6** (Sat Apr  7 2018)\n\n- Fix bug in shell's invalidate() function\n- Fix wrong dependency handling with mapreduce.map()\n\nversion **1.6.5** (Mon Mar 12 2018)\n\n- Add get_tasks() to 'jug shell' and document 'from jug.task import\n  alltasks' (patch by Renato Alves)\n\nversion **1.6.4** (Thu Nov 2 2017)\n\n- Fix exit_after_n_tasks. It would previously execute one task too many\n\nversion **1.6.3** (Wed Nov 1 2017)\n\n- Add citation request\n\nversion **1.6.2** (Thu Oct 26 2017)\n\n- Add return_value argument to jug_execute\n- Add exit_env_vars\n\nversion **1.6.1** (Thu Aug 29 2017)\n- Fix bug with ``invalidate()`` in the shell\n\nversion **1.6.0** (Thu Aug 24 2017)\n- Add 'graph' subcommand - Generates a graph of tasks\n- 'jug execute --keep-going' now ends with non-zero exit code in case of failures\n- Fix bug with cleanup in dict_store not providing the number of removed records\n- Add 'jug cleanup --keep-locks' to remove obsolete results without affecting locks\n\n\nversion **1.5.0** (Sun Jul 16 2017)\n- Add 'demo' subcommand\n- Add is_jug_running() function\n- Fix bug in finding config files\n- Improved --debug mode: check for unsupported recursive task creation\n- Add invalidate() to shell environment\n- Use ~/.config/jug/jugrc as configuration file\n- Add experimental support for extensible commands, use ``~/.config/jug/jug_user_commands.py``\n- jugrc: execute_wait_cycle_time_secs is now execute_wait_cycle_time\n- Expose sync_move in jug.utils\n\nversion **1.4.0** (Tue Jan 3 2017)\n- Fix bug with writing very large objects to disk\n- Smarter handling of --aggressive-unload (do not unload what will be immediately necessary)\n- Work around corner case in ``jug shell`` command\n- Add test-jug subcommand\n- Add return_tuple decorator\n\nversion **1.3.0** (Tue Nov 1 2016)\n- Update `shell` subcommand to IPython 5\n- Use ~/.config/jugrc as configuration file\n- Cleanup usage string\n- Use `bottle` instead of `web.py` for webstatus subcommand\n- Add `jug_execute` function\n- Add timing functionality\n\nversion **1.2.2** (Sat Jun 25 2016)\n- Fix bugs in shell subcommand and a few corner cases in encoding/decoding results\n\n\nversion **1.2.1** (Mon Feb 15 2016)\n- Changed execution loop to ensure that all tasks are checked (issue #33 on github)\n- Fixed bug that made 'check' or 'sleep-until' slower than necessary\n- Fixed jug on Windows (which does not support fsync on directories)\n- Made Tasklets use slightly less memory\n\n\nversion **1.2** (Thu Aug 20 2015)\n- Use HIGHEST_PROTOCOL when pickle()ing\n- Add compress_numpy option to file_store\n- Add register_hook_once function\n- Optimize case when most (or all) tasks are already run\n- Add --short option to 'jug status' and 'jug execute'\n- Fix bug with dictionary order in kwargs (fix by Andreas Sorge)\n- Fix ipython colors (fix by Andreas Sorge)\n- Sort tasks in 'jug status'\n\nversion **1.1** (Tue Mar 3 2015)\n- Python 3 compatibility fixes\n- fsync(directory) in file backend\n- Jug hooks (still mostly undocumented, but already enabling internal code simplification)\n\nversion **1.0** (Tue May 20 2014)\n- Adapt status output to terminal width (by Alex Ford)\n- Add a newline at the end of lockfiles for file backend\n- Add --cache-file option to specify file for ``status --cache``\n\nversion **0.9.7** (Tue Feb 18 2014)\n\n- Fix use of numpy subclasses\n- Fix redis URL parsing\n- Fix ``shell`` for newer versions of IPython\n- Correctly fall back on non-sqlite ``status``\n- Allow user to call set_jugdir() inside jugfile\n\nversion **0.9.6** (Tue Aug 6 2013)\n\n- Faster decoding\n- Add jug-execute script\n- Add describe() function\n- Add write_task_out() function\n\nversion **0.9.5** (May 27 2013)\n\n- Added debug mode\n- Even better map.reduce.map using blocked access\n- Python 3 support\n- Documentation improvements\n\nFor older version see ``ChangeLog`` file.\n\n\n\n.. image:: https://badges.gitter.im/Join%20Chat.svg\n   :alt: Join the chat at https://gitter.im/luispedro/jug\n   :target: https://gitter.im/luispedro/jug?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge",
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