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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": "# aiomemoize [![CircleCI](https://circleci.com/gh/michalc/aiomemoize.svg?style=svg)](https://circleci.com/gh/michalc/aiomemoize) [![Test Coverage](https://api.codeclimate.com/v1/badges/82f9a346683c411b08a6/test_coverage)](https://codeclimate.com/github/michalc/aiomemoize/test_coverage)\n\nMemoize asyncio Python calls. Invalidation is manual/explicit for each set of arguments, although exceptions raised are _not_ cached. This can be used for coroutines, and functions that return a promise.\n\n\n## Installation\n\n```base\npip install aiomemoize\n```\n\n\n## Usage\n\nFor a coroutine whose arguments are hashable, you can create a _memoized_ version by passing it to `memoize`. This returns a tuple of the memoized function, and a function to invalidate the cache on a per-item basis.\n\nFor example, the below\n\n```python\nimport asyncio\nfrom aiomemoize import memoize\n\nasync def main():\n    memoized, invalidate = memoize(coro)\n    results = await asyncio.gather(*[\n        memoized('a'),\n        memoized('a'),\n        memoized('b'),\n    ])\n    print(results)\n\n    invalidate('a')\n    results = await asyncio.gather(*[\n        memoized('a'),\n        memoized('a'),\n        memoized('b'),\n    ])\n    print(results)\n\n    await memoized('a')\n\nasync def coro(value):\n    print('Inside coro', value)\n    await asyncio.sleep(1)\n    return value\n\nloop = asyncio.get_event_loop()\nloop.run_until_complete(main())\nloop.close()\n```\n\nwill output\n\n```\nInside coro a\nInside coro b\n['a', 'a', 'b']\nInside coro a\n['a', 'a', 'b']\n```\n\n\n",
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