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        "author": "Matthew Wedgwood",
        "author_email": "mw@rmn.com",
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            "License :: OSI Approved :: MIT License",
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            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
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        "description": "%%%%%%%%%%%%\nAcky Library\n%%%%%%%%%%%%\n\n.. image:: https://travis-ci.org/RetailMeNot/acky.svg?branch=master\n   :target: https://travis-ci.org/RetailMeNot/acky\n   :alt: Build Status\n\nThe Acky library provides a consistent interface to AWS. Based on botocore, it\nabstracts some of the API work involved and allows the user to interact with AWS\nAPIs in a consistent way with minimal overhead.\n\nAcky takes a different approach to the API from libraries like the venerable\n`Boto <https://github.com/boto/boto>`. Rather than model AWS objects as Python\nobjects, Acky simply wraps the API to provide a more consistent interface. Most\nobjects in AWS are represented as collections in Acky, with get(), create(),\nand destroy() methods. The get() method always accepts a filter map, no matter\nif the underlying API method does.\n\nIn cases where the API's multitude of parameters would make for awkward method\ncalls (as is the case with EC2's RunInstances), Acky provides a utility class\nwhose attributes can be set before executing the API call.\n\n\n%%%%%%%%%%\nUsing Acky\n%%%%%%%%%%\n\nAcky uses a botocore-style AWS credential configuration, the same as the\nofficial AWS CLI. Before you use Acky, you'll need to `set up your config\n<http://docs.aws.amazon.com/cli/latest/userguide/cli-chap-getting-started.html>`.\n\nOnce your credentials are set up, using acky is as simple as creating an\ninstance of the AWS object::\n\n    from acky.aws import AWS\n    aws = AWS(region, profile)\n    instances = aws.ec2.Instances.get(filters={'tag:Name': 'web-*'})\n    print('Found {} web servers'.format(len(instances)))\n    for instance in instances:\n        print('  {}'.format(instance['PublicDnsName'])\n\n\n%%%%%%%%%%%%%%%%\nModule Structure\n%%%%%%%%%%%%%%%%\n\nThe expected module structure for Acky follows. Many APIs are not yet\nimplemented, but those that are can be considered stable.\n\n* AWS\n\n  * username (property)\n  * userinfo (property)\n  * account_id (property)\n  * environment (property)\n  * ec2\n\n    * regions\n    * zones\n    * ACEs\n    * ACLs\n    * ElasticIPs\n    * Instances\n    * IpPermissions\n    * KeyPairs\n    * PlacementGroups\n    * SecurityGroups\n    * Snapshots\n    * Subnets\n    * VPCs\n    * Volumes\n\n  * iam\n\n    * Users\n    * Groups\n    * Keys\n\n  * rds\n\n    * engine_versions\n    * Instances\n    * Snapshots\n    * EventSubscriptions\n    * SecurityGroups\n    * SecurityGroupRules\n\n  * sqs\n\n    * Queues\n    * Messages\n\n  * sts\n\n    * GetFederationToken\n    * GetSessionToken\n\nOther services will be added in future versions.\n\n%%%%%%%%%%%%%%%%%%\nInstalling acky\n%%%%%%%%%%%%%%%%%%\n\nacky is available in PyPI and is installable via pip::\n\n    pip install acky\n\nYou may also install acky from source, perhaps from the GitHub repo::\n\n    git clone https://github.com/RetailMeNot/acky.git\n    cd acky\n    python setup.py install",
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        "license": "MIT",
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        "name": "acky",
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