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        "author": "Brian Abelson",
        "author_email": "brian@newslynx.org",
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        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python"
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        "description": "|travis-img| birdfeeder ====== *Feed on tweets*\n\nInstall\n-------\n\n::\n\n    pip install birdfeeder\n\nTest\n----\n\nRequires ``nose``\n\n::\n\n    nosetests\n\nUsage\n-----\n\n``birdfeeder`` simplifies ``twython`` by taking care of alot the common\nproblems in working with the Twitter API, including:\n\n-  pagination\n-  rate limiting\n-  url unshortening\n-  error handling\n\nThus far, we've implemented 5 methods: ``connect``, ``search``,\n``list_timeline``, ``user_timeline``, and ``user_stats`` (a custom\nmethod):\n\nConnect\n~~~~~~~\n\nIf you have ``TWT_API_KEY``, ``TWT_API_SECRET``, ``TWT_ACCESS_TOKEN``,\nand ``TWT_ACCESS_SECRET`` set as environmental variables, you can use\nall the methods without explicitly connecting. However, if you want to\nexplicitly connect beforehand, you can also pass in a connection as\n``conn`` to any method:\n\n.. code:: python\n\n    import birdfeeder\n\n    conn = birdfeeder.connect() \n\n    tweets = birdfeeder.search(q=\"hello world\", count=10, conn=conn)\n    for t in tweets:\n      print t\n\nIn addition, you can also pass in an authenticated user's token with\n``access_token``:\n\n.. code:: python\n\n    import birdfeeder\n\n    for t in birdfeeder.search(q=\"hello world\", access_token=\"authenticed_users_token\"):\n      print t\n\nSearch\n~~~~~~\n\n.. code:: python\n\n    import birdfeeder\n\n    tweets = birdfeeder.search(q=\"hello world\", count=10)\n    for t in tweets:\n      print t\n\nList Timeline\n~~~~~~~~~~~~~\n\n.. code:: python\n\n    import birdfeeder\n\n    tweets = birdfeeder.list_timeline(owner_screen_name = 'cspan', slug = 'members-of-congress', count=100)\n    for t in tweets:\n      print t \n\nUser Timeline\n~~~~~~~~~~~~~\n\n.. code:: python\n\n    import birdfeeder \n\n    tweets = birdfeeder.user_timeline(screen_name = 'newslynx')\n    for t in tweets:\n      print t\n\nUser Stats\n~~~~~~~~~~\n\nThis returns a dictionary of stats about a user, with the time it ran.\nIt's intended for creating a time series of a user's metadata:\n\n.. code:: python\n\n    import birdfeeder \n\n    stats = birdfeeder.user_stats(screen_name = \"newslynx\")\n    print stats\n\nPagination\n----------\n\nWith ``birdfeeder``, pagination is simple, just add ``pagination=True``\nto any method, ie:\n\n.. code:: python\n\n    import birdfeeder\n\n    tweets = birdfeeder.user_timeline(screen_name = 'newslynx', count = 5, pagination=True)\n    for t in tweets:\n      print t\n\nThis will keep track of the ``max_id`` of each request and iterate\nthrough results until everything has been retrieved (or until otherwise\nspecified - more below). For each request, it will wait for a defualt of\n15 seconds so as to avoid rate limiting.\n\nConcurrency\n-----------\n\nadd concurrency to any method via ``gevent``:\n\n.. code:: python\n\n\n    tweets = birdfeeder.user_timeline(screen_name=\"brianabelson\", concurrent=True)\n    for t in tweets:\n      print t\n\nCustom Options\n--------------\n\nWe've added some custom options for each method, they are as follows:\n\n-  ``throttle`` - the time in seconds to wait between each request (only\n   relevant when ``paginate = True``)\n-  ``max_requests`` - the maximum number of requests to make (only\n   relevant when ``paginate = True``)\n-  ``wait`` - the default number of seconds to wait after an error\n-  ``backoff`` - the factor to multiply ``wait`` by after each error\n-  ``timeout`` - the time in seconds at which point we should abandon an\n   error prone request. Here, ``birdfeeder`` will log a warning, but\n   will otherwise fail silently.\n\nHere are the default arguments for all methods:\n\n.. code:: python\n\n    default_kws = {\n      'paginate' : False,\n      'concurrent': False,\n      'num_workers': 20,\n      'max_id': None,\n      'throttle' : 15,\n      'count' : 200,\n      'max_requests' : None,\n      'wait': 1,\n      'backoff': 2,\n      'timeout': 30\n    }\n\nStreaming\n---------\n\nFinally, we've included a simple streaming API client (from\n`here <http://twython.readthedocs.org/en/latest/usage/streaming_api.html>`__).\nWith this, you can pass in three functions on initialization: a parsing\nfunction, a storage function, and an error function, ie:\n\n.. code:: python\n\n    from birdfeeder import Stream \n\n    def parse(data):\n      return data['text']\n\n    def store(data):\n      print data \n\n    def error(status_code, data):\n      pass\n\n    s = Stream(parse=parse, store=store, error=error)\n    s.statuses.filter(track='twitter')\n\nAcknowledgements\n----------------\n\nTo write this library, I heavily referenced Jeremy Singer-Vine's\nexcellent ```twick`` <https://github.com/jsvine/twick>`__.\n\n.. |travis-img| image:: https://travis-ci.org/newslynx/birdfeeder.svg",
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