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        "author": "Alberto Vara",
        "author_email": "a.vara.1986@gmail.com",
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            "Development Status :: 6 - Mature",
            "Environment :: Console",
            "Intended Audience :: Developers",
            "Intended Audience :: System Administrators",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.6"
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        "description": "Ardy (Arthur Hendy)\n===================\n\n.. image:: https://badge.fury.io/py/Ardy.svg\n    :target: https://pypi.org/project/Ardy/\n\n.. image:: https://img.shields.io/pypi/dm/ardy.svg\n    :target: https://pypi.org/project/Ardy/\n\n.. image:: https://travis-ci.org/avara1986/ardy.svg?branch=master\n    :target: https://travis-ci.org/avara1986/ardy\n\n.. image:: https://coveralls.io/repos/github/avara1986/ardy/badge.svg?branch=master\n  :target: https://coveralls.io/github/avara1986/ardy?branch=master\n\n.. image:: https://readthedocs.org/projects/ardy/badge/?version=latest\n    :target: http://ardy.readthedocs.io/en/latest/?badge=latest\n    :alt: Documentation Status\n\n.. image:: https://requires.io/github/avara1986/ardy/requirements.svg?branch=master\n     :target: https://requires.io/github/avara1986/ardy/requirements/?branch=master\n     :alt: Requirements Status\n\n.. image:: https://pyup.io/repos/github/avara1986/ardy/shield.svg\n     :target: https://pyup.io/repos/github/avara1986/ardy/\n     :alt: Updates\n\n.. image:: https://pyup.io/repos/github/avara1986/ardy/python-3-shield.svg\n     :target: https://pyup.io/repos/github/avara1986/ardy/\n     :alt: Python 3\n\nArdy is a toolkit to work with AWS Lambas and implement Continuous Integration.\nAWS Lambda is a serverless compute service that runs your code in response to events and automatically manages the underlying compute resources for you. Alas,\nAWS Lambda has a very bad GUI interfaces, especially if you work with teams and releases. You can't see at a glance\nthe triggers you have active, the resources of your AWS Lambda or have a version control.\n\nWith `Ardy` you can manage your AWS Lambda with a JSON config file stored in your VCS.\n\n**IMPORTANT NOTE**: If you want to work with AWS Lambda, it's recommended read about it. `Ardy` helps and support you to manage your environments but doesn't performs \"The black magic\" for you.\n\n\nInstallation\n------------\n\nInstall the latest Ardy release via pip:\n\n.. code-block:: bash\n\n    pip install ardy\n\n\n\nYou may also install a specific version:\n\n.. code-block:: bash\n\n    pip install ardy==0.0.1\n\n\nQuickstart\n----------\n\nSee the documentation\n\nHow to contrib\n--------------\nThis project is build with `Git Flow <https://danielkummer.github.io/git-flow-cheatsheet/>`_. If you want to commit some\ncode use this pattern please:\n\n.. image:: http://nvie.com/img/git-model@2x.png\n\n\nExtra: Why this name?\n---------------------\n\n.. code-block::\n\n    import operator\n    from nltk import FreqDist\n    from nltk.tokenize import RegexpTokenizer\n    from nltk.book import text6 # Book Monty Python Holy Grail\n    import requests\n\n\n    tokens = [f.lower() for f in text6]\n    result_holygrail = FreqDist(tokens)\n    # result_holygrail.most_common(42)\n    holygrail_top = [s[0] for s in sorted([(w, result_holygrail[w]) for w in set(tokens) if len(w) > 4 and result_holygrail[w] > 20], key=operator.itemgetter(1), reverse=True)]\n\n\n\n\n    tokenizer = RegexpTokenizer(r'\\w+')\n\n    response = requests.get(\"http://www.angelfire.com/movies/closedcaptioned/meanlife.txt\")\n    meanlife = response.text\n\n    tokens = tokenizer.tokenize(meanlife)\n\n    result_meanlife = FreqDist(tokens)\n    # result_meanlife.most_common(42)\n    meanlife_top = [s[0] for s in sorted([(w, result_meanlife[w]) for w in set(tokens) if len(w) > 4 and result_meanlife[w] > 20], key=operator.itemgetter(1), reverse=True)]\n    for i in range(0, 30):\n        print(\"{}: {} {}\".format(i+1, holygrail_top[i], meanlife_top[i]))\n        print(\"{}: {}{}\".format(i+1, holygrail_top[i][:2], meanlife_top[i][-2:]))",
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