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        "description": "Effect\n======\n\n.. image:: https://travis-ci.org/python-effect/effect.svg?branch=master\n    :target: https://travis-ci.org/python-effect/effect\n\n.. image:: https://img.shields.io/pypi/v/effect.svg\n    :target: https://pypi.python.org/pypi/effect\n\nEffect is a library for helping you write purely functional code by isolating\nthe effects (that is, IO or state manipulation) in your code. Documentation is\navailable at https://effect.readthedocs.org/, and its PyPI page is\nhttps://pypi.python.org/pypi/effect.\n\nIt `supports`_ Python 2.7, 3.4 and 3.5 as well as PyPy.\n\n.. _`supports`: https://travis-ci.org/python-effect/effect\n\nYou can install it by running ``pip install effect``.\n\n.. image:: https://radix.github.io/effect/sigh-defects.png\n    :target: https://twitter.com/extempore2/status/553597279463305218\n\n\nWhat Is It?\n===========\n\nEffect lets you isolate your IO and state-manipulation code.\n\nThe benefits of this are many: first, the majority of your code can become\npurely functional, leading to easier testing and ability to reason about\nbehavior. Also, because it separates the specification of an effect from the\nperformance of the effect, there are two more benefits: testing becomes easier\nstill, and it's easy to provide alternative implementations of effects.\n\nEffect is somewhat similar to \"algebraic effects\", as implemented in various\ntyped functional programming languages. It also has similarities to Twisted's\nDeferred objects.\n\nExample\n=======\n\nA very quick example of using Effects:\n\n.. code:: python\n\n    from __future__ import print_function\n    from effect import sync_perform, sync_performer, Effect, TypeDispatcher\n\n    class ReadLine(object):\n        def __init__(self, prompt):\n            self.prompt = prompt\n\n    def get_user_name():\n        return Effect(ReadLine(\"Enter a candy> \"))\n\n    @sync_performer\n    def perform_read_line(dispatcher, readline):\n        return raw_input(readline.prompt)\n\n    def main():\n        effect = get_user_name()\n        effect = effect.on(\n            success=lambda result: print(\"I like {} too!\".format(result)),\n            error=lambda e: print(\"sorry, there was an error. {}\".format(e)))\n\n        dispatcher = TypeDispatcher({ReadLine: perform_read_line})\n        sync_perform(dispatcher, effect)\n\n    if __name__ == '__main__':\n        main()\n\n\n``Effect`` takes what we call an ``intent``, which is any object. The\n``dispatcher`` argument to ``sync_perform`` must have a ``performer`` function\nfor your intent.\n\nThis has a number of advantages. First, your unit tests for ``get_user_name``\nbecome simpler. You don't need to mock out or parameterize the ``raw_input``\nfunction - you just call ``get_user_name`` and assert that it returns a ReadLine\nobject with the correct 'prompt' value.\n\nSecond, you can implement ReadLine in a number of different ways - it's\npossible to override the way an intent is performed to do whatever you want.\n\nFor more information on how to implement the actual effect-performing code,\nand other details, see the `documentation`_. There is also a full example\nof interacting with the user and using an HTTP client to talk to the GitHub\nAPI in the `effect-examples`_ repository.\n\n.. _`documentation`: https://effect.readthedocs.org/\n.. _`effect-examples`: https://github.com/python-effect/effect-examples\n\n\n\nVideos\n======\n\nSome talks have been given about Effect.\n\n- `Side Effects are a Public API`_ by Chris Armstrong at `Strange Loop`_ (2015-09-26)\n- `Functionalish Programming in Python with Effect`_ by Robert Collins at `Kiwi PyCon`_ (2015-09-05)\n\n.. _`Side Effects are a Public API`: https://www.youtube.com/watch?v=D37dc9EoFus\n.. _`Strange Loop`: https://thestrangeloop.com/\n.. _`Functionalish Programming in Python with Effect`: https://www.youtube.com/watch?v=fM5d_2BS6FY\n.. _`Kiwi PyCon`: https://nzpug.org/\n\n\nThanks\n======\n\nThanks to Rackspace for allowing me to work on this project, and having an\n*excellent* `open source employee contribution policy`_\n\n.. _`open source employee contribution policy`: https://www.rackspace.com/blog/rackspaces-policy-on-contributing-to-open-source/\n\n\nAuthors\n=======\n\nEffect was originally written by `Christopher Armstrong`_,\nbut now has contributions from the following people:\n\n.. _`Christopher Armstrong`: https://github.com/radix\n\n- `cyli`_\n- `lvh`_\n- `Manish Tomar`_\n- `Tom Prince`_\n\n.. _`cyli`: https://github.com/cyli\n.. _`lvh`: https://github.com/lvh\n.. _`Manish Tomar`: https://github.com/manishtomar\n.. _`Tom Prince`: https://github.com/tomprince\n\n\nIRC\n===\n\nThere is a ``#python-effect`` IRC channel on irc.freenode.net.\n\n\nSee Also\n========\n\nFor integrating Effect with Twisted's Deferreds, see the ``txEffect`` package\n(`pypi`_, `github`_).\n\n.. _`pypi`: https://warehouse.python.org/project/txeffect\n.. _`github`: https://github.com/python-effect/txeffect\n\nOver the past few years, the ecosystem of libraries to help with functional\nprogramming in Python has exploded. Here are some libraries I recommend:\n\n- `pyrsistent`_ - persistent (optimized immutable) data structures in Python\n- `toolz`_ - a general library of pure FP functions\n- `fn.py`_ - a Scala-inspired set of tools, including a weird lambda syntax, option type, and monads\n\n.. _`pyrsistent`: https://pypi.python.org/pypi/pyrsistent/\n.. _`toolz`: https://pypi.python.org/pypi/toolz\n.. _`fn.py`: https://pypi.python.org/pypi/fn\n\n\nLicense\n=======\n\nEffect is licensed under the MIT license:\n\nCopyright (C) 2014 Christopher Armstrong\n\nPermission is hereby granted, free of charge, to any person obtaining a copy of\nthis software and associated documentation files (the \"Software\"), to deal in\nthe Software without restriction, including without limitation the rights to\nuse, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of\nthe Software, and to permit persons to whom the Software is furnished to do so,\nsubject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS\nFOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR\nCOPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER\nIN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN\nCONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n\n",
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