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        "author": "Michal Charemza",
        "author_email": "michal@charemza.name",
        "bugtrack_url": null,
        "classifiers": [
            "Framework :: AsyncIO",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
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        "description": "# aiomemoizettl [![CircleCI](https://circleci.com/gh/michalc/aiomemoizettl.svg?style=svg)](https://circleci.com/gh/michalc/aiomemoizettl) [![Test Coverage](https://api.codeclimate.com/v1/badges/8dcbbf352c803cb8147d/test_coverage)](https://codeclimate.com/github/michalc/aiomemoizettl/test_coverage)\n\nMemoize asyncio Python calls with a per-result TTL\n\n\n## Installation\n\n```base\npip install aiomemoizettl\n```\n\n\n## Usage\n\nFor a coroutine whose arguments are hashable, you can create a _memoized_ version by passing it to `memoize_ttl`, along with a function that converts its return value to a TTL.\n\nFor example, the below\n\n```python\nimport asyncio\nfrom aiomemoizettl import memoize_ttl\n\nasync def main():\n    memoized = memoize_ttl(coro, get_ttl=lambda result: result['ttl'])\n    results = await asyncio.gather(*[\n        memoized(1),\n        memoized(2),\n    ])\n    await asyncio.sleep(1)\n\n    results = await asyncio.gather(*[\n        memoized(1),\n        memoized(2),  # Will used the cached value of `coro(2)`\n    ])\n\nasync def coro(value):\n    print('Inside coro', value)\n    return {'ttl': value, 'some-other': 'data'}\n\nloop = asyncio.get_event_loop()\nloop.run_until_complete(main())\nloop.close()\n```\n\nwill output\n\n```\nInside coro 1\nInside coro 2\nInside coro 1\n```\n\n\n",
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