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        "author": "Lorenzo Setale ( http://who.is.lorenzo.setale.me/? )",
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        "description": "python-digitalocean\n===================\n\nThis library provides easy access to Digital Ocean APIs to deploy\ndroplets, images and more.\n\n|image0|\n\n| |image1|\n| |image2|\n| |image3|\n\nHow to install\n--------------\n\nYou can install python-digitalocean using **pip**\n\n::\n\n    pip install -U python-digitalocean\n\nor via sources:\n\n::\n\n    python setup.py install\n\nFeatures\n--------\n\npython-digitalocean support all the features provided via\ndigitalocean.com APIs, such as:\n\n-  Get user's Droplets\n-  Get user's Images (Snapshot and Backups)\n-  Get public Images\n-  Get Droplet's event status\n-  Create and Remove a Droplet\n-  Resize a Droplet\n-  Shutdown, restart and boot a Droplet\n-  Power off, power on and \"power cycle\" a Droplet\n-  Perform Snapshot\n-  Enable/Disable automatic Backups\n-  Restore root password of a Droplet\n\n\u00a0Examples\n---------\n\nListing the droplets\n~~~~~~~~~~~~~~~~~~~~\n\nThis example shows how to list all the active droplets:\n\n.. code:: python\n\n    import digitalocean\n    manager = digitalocean.Manager(token=\"secretspecialuniquesnowflake\")\n    print(manager.get_all_droplets())\n\nShutdown all droplets\n~~~~~~~~~~~~~~~~~~~~~\n\nThis example shows how to shutdown all the active droplets:\n\n.. code:: python\n\n    import digitalocean\n    manager = digitalocean.Manager(token=\"secretspecialuniquesnowflake\")\n    my_droplets = manager.get_all_droplets()\n    for droplet in my_droplets:\n        droplet.shutdown()\n\nCreating a Droplet and checking its status\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nThis example shows how to create a droplet and how to check its status\n\n.. code:: python\n\n    import digitalocean\n    droplet = digitalocean.Droplet(token=\"secretspecialuniquesnowflake\",\n                                   name='Example',\n                                   region='nyc2', # New York 2\n                                   image='ubuntu-14-04-x64', # Ubuntu 14.04 x64\n                                   size_slug='512mb',  # 512MB\n                                   backups=True)\n    droplet.create()\n\nChecking the status of the droplet\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n.. code:: python\n\n    actions = droplet.get_actions()\n    for action in actions:\n        action.load()\n        # Once it shows complete, droplet is up and running\n        print action.status\n\nAdd SSHKey into DigitalOcean Account\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n.. code:: python\n\n    from digitalocean import SSHKey\n\n    user_ssh_key = open('/home/<$USER>/.ssh/id_rsa.pub').read()\n    key = SSHKey(token='secretspecialuniquesnowflake',\n                 name='uniquehostname',\n                 public_key=user_ssh_key)\n    key.create()\n\nCreating a new droplet with all your SSH keys\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n.. code:: python\n\n    manager = digitalocean.Manager(token=\"secretspecialuniquesnowflake\")\n    keys = manager.get_all_sshkeys()\n\n    droplet = digitalocean.Droplet(token=\"secretspecialuniquesnowflake\",\n                                   name='DropletWithSSHKeys',\n                                   region='ams3', # Amster\n                                   image='ubuntu-14-04-x64', # Ubuntu 14.04 x64\n                                   size_slug='512mb',  # 512MB\n                                   ssh_keys=keys, #Automatic conversion\n                                   backups=False)\n    droplet.create()\n\nTesting\n-------\n\nTest using Docker\n~~~~~~~~~~~~~~~~~\n\nTo test this python-digitalocean you can use\n`docker <https://www.docker.com>`__ to have a **clean environment\nautomatically**. First you have to build the container by running in\nyour shell on the repository directory:\n\n::\n\n    docker build -t \"pdo-tests\" .\n\nThen you can run all the tests (for both python 2 and python 3)\n\n::\n\n    docker run pdo-tests\n\n**Note**: This will use Ubuntu 14.04 as base and use your repository to\nrun tests. So every time you edit some files, please run these commands\nto perform tests on your changes.\n\nTesting using pytest manually\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nUse `pytest <http://pytest.org/>`__ to perform testing. 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