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    "info": {
        "author": "Vyacheslav Rafalskiy",
        "author_email": "rafalskiy@gmail.com",
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            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python"
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        "description": "Tasker\r\n======\r\n\r\nTasker is a way to organize your scripts. If you have dozens of small scripts and you keep forgetting what they do and what parameters they take, **tasker** is for you. Instead of scripts you write functions, put them in a file or a couple of them, and then run the main tasker script giving them the task name and the parameters of the task like this:\r\n\r\n::\r\n\r\n    run_task <task-name> [<task-parameter>]...\r\n\r\nThe **help** task will scan your tasks package and give you the signatures and docstrings of your tasks.\r\n\r\nTo be considered as a task, the function name should end with ``_task``. The task name is the function name less the suffix. Suppose we have the following file stucture:\r\n\r\n::\r\n\r\n    run_task\r\n    tasks/\r\n        __init__.py\r\n        moretasks.py\r\n\r\n``__init__.py``\r\n\r\n.. code-block:: python\r\n\r\n    def one_task(p1):\r\n        print 'in one_task, parameters:', p1\r\n\r\n    def two_task(p1, p2):\r\n        print 'in two_task, parameters:', p1, p2\r\n\r\nand ``moretasks.py``\r\n\r\n.. code-block:: python\r\n\r\n    def t1_task(p1):\r\n        print 'in t1_task, parameters:', p1\r\n\r\n    def t2_task(p1, p2=None):\r\n        print 'in t2_task, parameters:', p1, p2\r\n\r\nThen we can run the following examples:\r\n\r\n::\r\n\r\n    run_task one foo\r\n    run_task two foo baz\r\n    run_task two foo               # fails, not enough parameters\r\n    run_task moretasks.t1 spam\r\n    run_task moretasks.t2 spam ham\r\n    run_task moretasks.t2 spam     # works too because of default value of the second parameter\r\n\r\nTo generate the ``run_task`` script in the current directory run:\r\n\r\n::\r\n\r\n    python -m tasker <fully-qualified-name-of-tasks-package>  # default = \"tasks\"\r\n\r\nIMPORTANT: All task parameters are strings.\r\n\r\nYou can include tasks with distribution of your project and run them all with a single installed script. Suppose your project looks like this:\r\n\r\n::\r\n\r\n    someproject/\r\n        __init__.py\r\n        somestuff.py\r\n        tasks/\r\n\r\nThen you can include the following snippet in ``__init__.py``:\r\n\r\n.. code-block:: python\r\n\r\n    def run_task():\r\n        import tasker\r\n        tasker.main('tasks')\r\n\r\nthen include the following in your setuptools-based ``setup.py``:\r\n\r\n::\r\n\r\n    entry_points={\r\n        'console_scripts': [\r\n            'someproject_task = someproject:run_task',\r\n            ],\r\n        }\r\n\r\nThis setup will create script ``someproject_task``, which will know about your tasks.\r\n\r\nInstallation\r\n------------\r\n\r\n::\r\n\r\n    pip install tasker\r\n\r\nOrigin\r\n------\r\n\r\nThis was inspired by the Ruby's ``rake`` utility. I used for some time the ``shovel``\r\npython clone of ``rake`` until I got dissatisfied with it. The important difference of ``tasker``\r\n(apart from simplicity) is that it does not depend on current working directory.",
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