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        "author": "Michal Charemza",
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            "Framework :: AsyncIO",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
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        "description": "# aiothrottler [![CircleCI](https://circleci.com/gh/michalc/aiothrottler.svg?style=svg)](https://circleci.com/gh/michalc/aiothrottler) [![Test Coverage](https://api.codeclimate.com/v1/badges/e52e294a919c8974c133/test_coverage)](https://codeclimate.com/github/michalc/aiothrottler/test_coverage)\n\nThrottler for asyncio Python\n\n\n## Installation\n\n```bash\npip install aiothrottler\n```\n\n\n## Usage\n\nCreate a shared `Throttler`, passing a minimum interval, e.g. `0.5` seconds\n\n```python\nfrom aiothrottler import Throttler\n\nthrottler = Throttler(min_interval=0.5)\n```\n\nand then just before the piece(s) of code to be throttled, _call_ this and `await` its result.\n\n```python\nawait throttler()\n# There will be a gap of at least 0.5 seconds\n# between executions reaching this line\n```\n\n\n## Example: multiple tasks throttled\n\n```python\nimport asyncio\nimport time\n\nfrom aiothrottler import Throttler\n\nasync def main():\n    throttler = Throttler(min_interval=0.5)\n    await asyncio.gather(*[\n        worker(throttler) for _ in range(10)\n    ])\n\nasync def worker(throttler):\n    await throttler()\n    # Interval of at least 0.5 seconds between prints\n    # even though all workers started together\n    print(time.time())\n\nloop = asyncio.get_event_loop()\nloop.run_until_complete(main())\nloop.close()\n```\n\n\n## Example: single task throttled/smoothed\n\n```python\nimport asyncio\nimport random\nimport time\n\nfrom aiothrottler import Throttler\n\nasync def main():\n    throttler = Throttler(min_interval=0.5)\n    for _ in range(10):\n        await throttler()\n        # Interval of at least 0.5 seconds between prints\n        # even though each sleep is random\n        print(time.time())\n        await asyncio.sleep(random.random())\n\nloop = asyncio.get_event_loop()\nloop.run_until_complete(main())\nloop.close()\n```\n\n\n## Differences to alternatives\n\n- The API features a function to call to `await` its result [some use a context manager]\n\n- The API is imperative [some use a functional approach/higher-order function]\n\n- No polling is used [some use polling internally]\n\n- A _minimum interval between resolutions_ is used to throttle [rather that a _max resolutions per time interval_, which can cause an irregular pattern of resolutions]\n\n- The tests cover edge cases, such as asserting on throttling after tasks being throttled have been cancelled [some alternatives do not]\n\n\n",
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