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        "author": "Stephan Houben",
        "author_email": "stephanh42@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Software Development :: Build Tools"
        ],
        "description": "akitchensyncio\n==============\n\nUtility functions for asyncio which Stephan wished where in the stdlib\nbut aren't.\n\nRequires a Python version which supports the ``async`` syntax (Python\n3.5 or higher).\n\nInstallation\n============\n\nTo install akitchensyncio, simply:\n\n.. code:: bash\n\n    $ pip install akitchensyncio\n\nFunction ``wrap_future(f)``\n---------------------------\n\nTakes a callable ``f`` which returns an awaitable, and returns a\ncallable which wraps the awaitable in ``asyncio.ensure_future``.\n\nCan also be used as a decorator, especially with coroutine functions:\n\n.. code:: python\n\n    @wrap_future\n    async def foo(arg1, arg2):\n        ...\n\nThis is especially useful in combination with ``functools.lru_cache``.\nSuppose you have a coroutine function which does an asynchronous query,\nand you decide you want to introduce some caching. Just add two\ndecorators as follows.\n\n.. code:: python\n\n    @functools.lru_cache(100)\n    @wrap_future\n    async def do_some_query(arg1, arg2):\n        ...\n\nFunction ``transform_future(f, awaitable)``\n-------------------------------------------\n\nApply a function to the result of an awaitable, return a future which\ndelivers the result.\n\nAs an example, suppose you have a way to query addresses given names.\nThe API takes a bunch of names rather than a single one to reduce\noverhead. However, to your callers you would like to hand out futures\nrepresenting results for individual names.\n\nEssentially you want to turn a \"future resulting in a dict\" into a \"dict\ncontaining futures\". Kind of the opposite of ``async.gather``.\n\n.. code:: python\n\n    from operator import itemgetter\n\n    def query_addresses(names):\n       fut = do_bunched_address_query(names)\n       # fut is a single future which resolves\n       # into a dict mapping names to addresses.\n       return {name: transform_future(itemgetter(name), fut) for name in names}\n\nFunction ``iawait(awaitable)``\n------------------------------\n\n\"Interactive await\" -- Run default eventloop until awaitable has\ncompleted. Mainly useful for interactive experimentation.\n\nThen remove the \"i\" from ``iawait`` to get code which you can use in an\n``async def`` function.\n\nAn alternative is to put this in your ``~/.pythonrc.py``:\n\n.. code:: python\n\n    def iawait(x):\n        import asyncio\n        loop = asyncio.get_event_loop()\n        return loop.run_until_complete(x)\n\nThis will only import ``asyncio`` on first use of ``iawait``, so it\nwon't slow down your startup in general.\n\n\n",
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        "keywords": "asyncio",
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        "name": "akitchensyncio",
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        "summary": "Utility functions for asyncio which Stephan wished where in the stdlib but aren't.",
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