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        "author": "hallazzang",
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            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3 :: Only",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "================\nasyncio-throttle\n================\n\n|travis-ci| |pypi-version| |pypi-license|\n\nSimple, easy-to-use throttler for asyncio.\n\nExample\n-------\n\n.. code:: python\n\n    import time\n    import random\n    import asyncio\n\n    from asyncio_throttle import Throttler\n\n    async def worker(no, throttler, n):\n        for _ in range(n):\n            await asyncio.sleep(random.random() * 2)\n\n            async with throttler:\n                print(time.time(), 'Worker #%d: Bang!' % no)\n\n    async def main():\n        throttler = Throttler(rate_limit=5)\n\n        tasks = [\n            loop.create_task(worker(no, throttler, 10))\n                for no in range(5)\n        ]\n        await asyncio.wait(tasks)\n\n    loop = asyncio.get_event_loop()\n    loop.run_until_complete(main())\n    loop.close()\n\nHere I limited work rate to 5/sec while there are 5 workers.\n\nInstallation\n------------\n\n.. code:: bash\n\n    $ pip install asyncio-throttle\n\nUsage\n-----\n\n``asyncio_throttle.Throttler`` introduces simple APIs:\n``flush()`` and ``acquire()``. But you will not be interested in those\nbecause you can just use it within ``with`` statement and it looks nicer.\n\nFirst, create a throttler given desired rate limit.\nFor example if you want to limit rate to 500/min, you can make it as:\n\n.. code:: python\n\n    from asyncio_throttle import Throttler\n\n    throttler = Throttler(rate_limit=500, period=60)\n\nThen whenever you want to do some jobs which should have limited\nrate(e.g. sending request to server), Put it in ``async with`` statement:\n\n.. code:: python\n\n    async with throttler:\n        send_a_request()\n\nIt's that easy. ``asyncio_throttler`` can be easily integrated\nwith ``aiohttp`` too:\n\n.. code:: python\n\n    async def worker(throttler, session):\n        while True:\n            async with throttler:\n                async with session.get('http://example.com') as resp:\n                    do_some_job_with(await resp.text())\n\n            await asyncio.sleep(0.05)\n\n.. |pypi-version| image:: https://img.shields.io/pypi/v/asyncio-throttle.svg?style=flat-square\n   :target: https://pypi.python.org/pypi/asyncio-throttle/\n\n.. |pypi-license| image:: https://img.shields.io/pypi/l/asyncio-throttle.svg?style=flat-square\n   :target: https://pypi.python.org/pypi/asyncio-throttle/\n\n.. |travis-ci| image:: https://travis-ci.org/hallazzang/asyncio-throttle.svg?branch=master\n    :target: https://travis-ci.org/hallazzang/asyncio-throttle\n\n\n",
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        "license": "MIT",
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        "name": "asyncio-throttle",
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