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        "author": "Daniel Lupu",
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        "description": "# aioeachlimit\n\nApply an async function to each item in an array or queue with limited concurrency\n\n## Install\n\n`pip install aioeachlimit`\n\n## Usage\n\n```\nasync def f(item):\n    asyncio.sleep(3)\n\treturn item * 2\n\nitems = [1, 2, 3, 4]\n\nasync for result in aioeachlimit(items, f, concurrency_limit=2):\n\tprint(result)  # Prints 2 4 6 8 in random order\n```\n\nIf you don't need to return anything:\n\n```\nawait aioeachlimit(items, f, concurrency_limit=2, discard_results=True)\n```\n\nIf `items` is an `asyncio.Queue` then aioeachlimit will read from it indefinitely.\n\n## Tests\n\n`pytest .`",
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        "keywords": "asyncio aio each limit concurrency generator synchronization",
        "license": "MIT",
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