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        "author": "RED Interactive Agency",
        "author_email": "geeks@ff0000.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Environment :: Console",
            "Environment :: Web Environment",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Topic :: Internet :: WWW/HTTP",
            "Topic :: Software Development :: Libraries :: Python Modules",
            "Topic :: Utilities"
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        "description": "ec2selector is a tool to select an EC2 AMI (Amazon Machine Image) from those \navailable on Amazon.\nThere are three basic ways in which you can use this tool.\n\n# Selecting an image knowing its ID\n\nIf you already know the image ID, you can use ec2selector to make sure that \nsuch an instance is still available on Amazon for a given region, e.g.:\n\n    from ec2selector import EC2Selector\n    EC2Selector().select(region_id='us-east-1', image_id='ami-ed16f984')\n\nwill return `Image:ami-ed16f984` if such an image exists on US East 1.\n\n# Selecting an image specifying a set of properties\n\nIf you don't know the image ID, you can specify a set of properties to match \none of the images available on Amazon. The properties you can filter on are:\n\n* name\n* owner_id\n* virtualization_type\n* image_type\n* architecture\n\nYou can also use the properties followed by '_contains' to specify a partial \nmatch. For instance, the following commands will return an AMI in US East,\nowned by the user 'alestic' with a 'machine' image at 64bit, and whose name \nincludes the string 'ubuntu-10':\n\n    from ec2selector import EC2Selector\n    EC2Selector().select(region_id='us-east-1', filters={\n        'name_contains': 'ubuntu-10', \n        'owner_id':'063491364108',     # corresponds to 'alestic'\n        'image_type': 'machine', \n        'virtualization_type':'paravirtual',\n        'architecture': 'x86_64', \n    })\n\n# Selecting an image with an interactive prompt\n\nFinally, if you do not specify enough filters to get exactly *one* image,\nyou will get an interactive shell to add more filters or pick one of the\navailable images. For instance, this is a prompt session:\n\n    >>> from ec2selector import EC2Selector\n    >>> EC2Selector().select()\n    \n    5 regions available\n    Please pick one of the available options:\n     [0] eu-west-1\n     [1] us-east-1\n     [2] ap-northeast-1\n     [3] us-west-1\n     [4] ap-southeast-1\n    \n    > 0\n    Loading list of available EC2 images for eu-west-1 with filters: None, might take a while...\n    1717 images available.\n    Please pick one of the available options:\n     [0] name\n     [1] owner_id\n     [2] architecture\n     [3] type\n     [4] virtualization_type\n     \n     > 2\n     Please pick one of the available options:\n      [0] x86_64\n      [1] i386\n\n     > 0\n     577 images available.\n     Please pick one of the available options:\n      [0] name\n      [1] owner_id\n      [2] architecture\n      [3] type\n      [4] virtualization_type\n\n     > 3\n     Please pick one of the available options:\n      [0] machine\n      [1] kernel\n      [2] ramdisk\n\n     > 0\n     519 images available.\n     Please pick one of the available options:\n      [0] name\n      [1] owner_id\n      [2] architecture\n      [3] type\n      [4] virtualization_type\n\n     > 4\n     Please pick one of the available options:\n      [0] hvm\n      [1] paravirtual\n\n     > 1\n     386 images available.\n     Please pick one of the available options:\n      [0] name\n      [1] owner_id\n      [2] architecture\n      [3] type\n      [4] virtualization_type\n\n     > 0\n     Please pick one of the available options:\n      [0] Ubuntu 10.10 64-bit Server Python Erlang Java\n      [1] RightImage_Ubuntu_8.04_x64_v5.5.9.1_EBS\n      ...\n      [383] ubuntu-9.10-karmic-server-amd64-20100121\n      [384] xarch-core-image\n      [385] radiant-0.9.1_64_0.2_ami-75d4e101\n\n     > 385\n     Image selected: radiant-0.9.1_64_0.2_ami-75d4e101\n     Image:ami-033d0977\n     \n# Requirements\n\nIn order to use `ec2selector` you need login credentials to Amazon EC2.\nYou can either pass these credentials to EC2Selector, e.g.:\n\n    from ec2selector import EC2Selector\n    EC2Selector().select(access_key='AKIA...', secret_key='xWD3...')\n\nor you can set them in environment variables, e.g.:\n\n    import os\n    os.environ['AWS_ACCESS_KEY_ID'] = 'AKIA...'\n    os.environ['AWS_SECRET_ACCESS_KEY'] = 'xWD3...'\n\nIf you don't specify them, the interactive prompt will ask for them.\n\n# Motivation\n\n`ec2selector` is based on [boto](https://github.com/boto/boto), a great Python \nlibrary to interact with Amazon EC2 instances. The only way to select an AMI \nwith boto is by specifying its image ID. `ec2selector` expands this behavior by\nletting you pick an image based on its attributes, not on its ID.\n\n# Installing\n\n    pip install ec2selector\n\n# Contributing\n\n1. fork and clone the project\n2. install the dependencies above\n3. run the tests with `python tests.py`\n4. hack at will\n5. commit and push\n6. send a pull request\n\n# License\n\nSee LICENSE.txt",
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        "license": "MIT license",
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