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    "info": {
        "author": "Yavor Paunov",
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        "description": ".. image:: https://travis-ci.org/YavorPaunov/asyncrandom.svg?branch=master\n    :target: https://travis-ci.org/YavorPaunov/asyncrandom\n\nAsyncrandom\n===========\n\nUtility for fetching one or more random numbers from the ANU Quantum Random Numbers Server by calling the endpoint at https://qrng.anu.edu.au/API/jsonI.php. \nRequests are executed asynchronously using the tornado networking framework.\n\nMore information about how the numbers are generated can be found on https://qrng.anu.edu.au/.\n\nRequires tornado and its IOLoop to run.\n\nInstallation\n------------\nDownload the source and run the setup file::\n\n    python setup.py install\n\nUsage\n-----\n\nA simple example of generating a single random ``uint8``::\n\n    def handle_random_int(f):\n        print(f.result())\n\n    f = asyncrandom.fetch()\n    f.add_done_callback(handle_random_int)\n\n    tornado.ioloop.IOLoop.current()\n\nMultiple numbers can be generated as well. In this example we generate 10::\n\n    def handle_random_int(f):\n        print(f.result())\n\n    f = asyncrandom.fetch(10)\n    f.add_done_callback(handle_random_int)\n\n    tornado.ioloop.IOLoop.current().start()\n\nBy default, 8-bit unsigned integers are generated. Optionally, this can be changed to 16-bit. Example of generating 10 16-bit integers::\n    \n    def handle_random_int(f):\n        print(f.result())\n    \n    f = asyncrandom.fetch(10, asyncrandom.IntegerType.UINT16)\n    f.add_done_callback(handle_random_int)\n    \n    tornado.ioloop.IOLoop.current()\n\nIf called from the command, issues a synchronous call to the service. Optionally, ``--length`` and ``--type`` can be specified as arguments, with default values of ``1`` and ``\"uint-8\"`` respectively. \n\n\nCommand line example::\n\n    $ asyncrandom --int-type=uint8 --length=1\n    105\n\n",
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