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    "info": {
        "author": "Peter Duerr",
        "author_email": "duerrp@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.2",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: Implementation :: CPython",
            "Topic :: Utilities"
        ],
        "description": "pyexperiment\n============\n\n|Version| |Python Version| |Build Status| |Coverage Status|\n\nPyexperiment facilitates the development of small, reproducible\nexperiments with minimal boilerplate code. Consider the following\nexample, implementing a simple program that stores numbers and\ncomputes their sum:\n\n.. code-block:: python\n\n   from pyexperiment import experiment, state, conf, log\n\n   conf['pyexperiment.save_state'] = True\n   conf['pyexperiment.load_state'] = True\n   conf['message'] = \"The stored numbers are: \"\n\n   def store(number):\n       \"\"\"Store a number\"\"\"\n       if 'numbers' not in state:\n           log.debug(\"Initialize state['numbers'] to empty list\")\n           state['numbers'] = []\n\n       log.debug(\"Store number: %s\", number)\n       state['numbers'].append(float(number))\n\n    def show():\n        \"\"\"Show the stored numbers and compute their sum\"\"\"\n        if not 'numbers' in state:\n            print('No numbers stored yet')\n            return\n\n        print(conf['message'] + str(state['numbers']))\n        with log.timed(\"sum\"):\n                total = sum(state['numbers'])\n        print(\"The total is: \" + str(total))\n\n   if __name__ == '__main__':\n       experiment.main(default=show,\n                       commands=[store, show])\n\n\nPyexperiment makes it easy to experiment with this code from the\ncommand line::\n\n   $ ./numbers store 42\n   $ ./numbers store 3.14\n   $ ./numbers\n   The stored numbers are: [42.0, 3.14]\n   The total is: 45.14\n   $ ./numbers -o message \"Numbers: \"\n   Numbers: [42.0, 3.14]\n   The total is: 45.14\n   $ ./numbers -v\n   [DEBUG   ] [0.069s] Start: './numbers -v'\n   [DEBUG   ] [0.069s] Time: '2015-08-14 14:23:00.027378'\n   [INFO    ] [0.075s] Loading state from file 'experiment_state.h5f'\n   The stored numbers are: [42.0, 3.14]\n   [DEBUG   ] [0.076s] sum took 0.000025s\n   The total is: 45.14\n   [DEBUG   ] [0.078s] No need to save unchanged state\n   [DEBUG   ] [0.078s] End: './numbers -v show'\n   [DEBUG   ] [0.078s] Time: '2015-08-14 14:23:00.037124'\n   [DEBUG   ] [0.078s] Took: 0.010s\n   $ ./numbers -h\n   usage: numbers [-h] [-c CONFIG] [-o key value] [-i]\n                  [--verbosity {DEBUG,INFO,WARNING,ERROR,CRITICAL}] [-v]\n                  [-j PROCESSES]\n                  [{store,show,help,test,show_tests,show_config,save_config,show_state,show_commands}]\n                  [argument [argument ...]]\n\n   Thanks for using numbers.\n\n   positional arguments:\n     {store,show,help,test,show_tests,show_config,save_config,show_state,show_commands}\n                           choose a command to run, running show by default\n     argument              argument to the command\n\n   optional arguments:\n     -h, --help            show this help message and exit\n     -c CONFIG, --config CONFIG\n                           specify a configuration file\n     -o key value, --option key value\n                           override a configuration option\n     -i, --interactive     drop to interactive prompt after COMMAND\n     --verbosity {DEBUG,INFO,WARNING,ERROR,CRITICAL}\n                           choose the console logger's verbosity\n     -v                    shortcut for --verbosity DEBUG\n     -j PROCESSES, --processes PROCESSES\n                           set number of parallel processes used\n\n   available commands:\n\n     store:                Store a number\n     show (default):       Show the stored numbers and compute their sum\n     help:                 Shows help for a specified command\n     test:                 Run tests for the experiment\n     show_tests:           Show available tests for the experiment\n     show_config:          Print the configuration\n     save_config:          Save a configuration file to a filename\n     show_state:           Shows the contents of the state loaded by the configuration or from the file specified as an argument\n     show_commands:        Print the available commands\n\n\nMotivation\n----------\n\nThere is no shortage of great Python libraries for command line\ninterfaces, logging, configuration file management, persistent state,\nparallelism, or plotting. When writing small scripts for quick\nexperiments though, it's often too much effort to configure these\ncomponents, and one ends up rewriting the same setup code over and\nover again.\n\nPyexperiment fixes this by providing a simple way to jump start short\nexperiments. Importing pyexperiment will give you:\n\n-  A basic *command line interface* that allows calling arbitrary\n   functions (and passing arguments) from the command prompt,\n   providing help text derived from the functions' docstrings and\n   zsh/bash autocompletion (based on the standard library's argparse\n   and argcomplete).\n-  A simple *configuration management* with an easy way to provide\n   default values (based on the excellent configobj library).\n-  A thread-safe *logger* with configurable logging levels, *timing\n   utilities* with statistics, and rotating log files (based on the\n   standard library's logging module).\n-  *Persistent state* with platform independent, configurable,\n   (optionally rotating) state files that are compatible with many other\n   programs (based on h5py).\n-  *Parallel* execution of replicates.\n-  A sensible setup for *plotting* (based on matplotlib, and optionally\n   seaborn), with configurable defaults and asynchronous plotting.\n-  Many other bits and pieces that might come in handy...\n\nAs a design principle, pyexperiment's components come ready to use\nwithout any further configuration. Inevitably then, the choices made in\nthis setup are opinionated and may or may not fit your personal taste.\nFeel free to start a discussion on the\n`issues <https://github.com/duerrp/pyexperiment/issues>`__ page.\n\nFor more documentation, see the automatically generated pages `here\n<https://pyexperiment.readthedocs.org>`__. For more usage examples,\ncheck the `examples\n<https://github.com/duerrp/pyexperiment/tree/master/examples>`__\nfolder.\n\nInstallation\n------------\n\nThe easiest way to install pyexperiment is from pypi, just call ``pip install\n--user pyexperiment`` (alternatively, use ``pip install pyexperiment`` in a\nvirtualenv, or prepend `sudo` for system wide installation).\n\nThe pyexperiment package has a few external dependencies (as you can\nsee in the `requirements.txt\n<https://github.com/duerrp/pyexperiment/blob/master/docker/requirements.txt>`__):\n\n-  six\n-  configobj\n-  numpy\n-  h5py\n-  matplotlib\n-  lockfile\n-  toolz\n-  IPython (optional, allows using IPython with the --interactive command)\n-  argcomplete (optional, adds activate_autocompletion command)\n-  seaborn (optional, adds more plotting options)\n\nIf you install (the h5py dependency) from pypi, you may need to install\nlibhdf5 first, e.g., by running ``sudo apt-get install libhdf5-dev``.\nYou may also find that you need to install cython first, e.g., by\nrunning either ``sudo apt-get install Cython`` or ``pip install\nCython``.\n\nReproducible experiments\n------------------------\n\nTo keep your experiments reproducible and avoid dependency problems, it\nis a good idea to automate the setup of your development environment,\ne.g., using a Vagrant box, or - in many cases even better - a Docker\nimage. To get started with pyexperiment using Vagrant or Docker, you can\nuse the Vagrantfile and setup script\n`here <https://github.com/duerrp/pyexperiment/blob/master/vagrant>`__,\nor the Dockerfile and setup scripts\n`here <https://github.com/duerrp/pyexperiment/blob/master/docker>`__.\n\nLicense\n-------\n\nThe pyexperiment package is licensed under an MIT licence (see the\n`LICENSE <https://github.com/duerrp/pyexperiment/blob/master/LICENSE>`__).\n\n.. |Development Status| image:: https://pypip.in/status/pyexperiment/badge.svg\n   :target: https://pypi.python.org/pypi/pyexperiment/\n.. |Version| image:: https://img.shields.io/pypi/v/pyexperiment.svg\n   :target: https://pypi.python.org/pypi/pyexperiment/\n.. |Python Version| image:: https://img.shields.io/badge/python--version-2.7%203.2%203.3%203.4-blue.svg\n   :target: https://pypi.python.org/pypi/pyexperiment/\n.. |Build Status| image:: https://travis-ci.org/duerrp/pyexperiment.svg?branch=master\n   :target: https://travis-ci.org/duerrp/pyexperiment\n.. |Coverage Status| image:: https://coveralls.io/repos/duerrp/pyexperiment/badge.svg\n   :target: https://coveralls.io/r/duerrp/pyexperiment",
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