Changed code to support older Python versions
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Metadata-Version: 2.1
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Name: asyncio-dgram
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Version: 2.2.0
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Summary: Higher level Datagram support for Asyncio
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Home-page: https://github.com/jsbronder/asyncio-dgram
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Author: Justin Bronder
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Author-email: jsbronder@cold-front.org
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License: MIT
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Classifier: Development Status :: 5 - Production/Stable
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Classifier: Intended Audience :: Developers
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Classifier: Framework :: AsyncIO
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Classifier: License :: OSI Approved :: MIT License
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Classifier: Programming Language :: Python :: 3.6
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Classifier: Programming Language :: Python :: 3.7
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Classifier: Programming Language :: Python :: 3.8
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Classifier: Programming Language :: Python :: 3.9
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Classifier: Programming Language :: Python :: 3.10
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Classifier: Programming Language :: Python :: 3.11
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Classifier: Programming Language :: Python :: 3.12
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Requires-Python: >=3.6
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Description-Content-Type: text/markdown
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License-File: LICENSE
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Requires-Dist: setuptools
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Provides-Extra: test
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Requires-Dist: black >=20.8b1 ; extra == 'test'
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Requires-Dist: flake8 >=3.8.3 ; extra == 'test'
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Requires-Dist: mypy-extensions >=0.4.3 ; extra == 'test'
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Requires-Dist: mypy >=0.812 ; extra == 'test'
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Requires-Dist: pytest-asyncio >=0.14.0 ; extra == 'test'
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Requires-Dist: pytest >=5.4.3 ; extra == 'test'
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Requires-Dist: typed-ast >=1.4.3 ; extra == 'test'
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Requires-Dist: typing-extensions >=3.10.0.0 ; extra == 'test'
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[](https://github.com/jsbronder/asyncio-dgram/actions)
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# Higher level Datagram support for Asyncio
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Simple wrappers that allow you to `await read()` from datagrams as suggested
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by Guido van Rossum
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[here](https://github.com/python/asyncio/pull/321#issuecomment-187022351). I
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frequently found myself having to inherit from `asyncio.DatagramProtocol` and
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implement this over and over.
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# Design
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The goal of this package is to make implementing common patterns that use datagrams
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simple and straight-forward while still supporting more esoteric options. This is done
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by taking an opinionated stance on the API that differs from parts of asyncio. For instance,
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rather than exposing a function like
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[create\_datagram\_endpoint](https://docs.python.org/3/library/asyncio-eventloop.html#asyncio.loop.create_datagram_endpoint)
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which supports many use-cases and has conflicting parameters, `asyncio_dgram`
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only provides three functions for creating a stream:
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- `connect((host, port))`: Creates a datagram endpoint which can only
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communicate with the endpoint it connected to.
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- `bind((host, port))`: Creates a datagram endpoint that can communicate
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with anyone, but must specified the destination address every time it
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sends.
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- `from_socket(sock)`: If the above two functions are not sufficient, then
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`asyncio_dgram` simply lets the caller setup the socket as they see fit.
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# Example UDP echo client and server
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Following the example of asyncio documentation, here's what a UDP echo client
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and server would look like.
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```python
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import asyncio
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import asyncio_dgram
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async def udp_echo_client():
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stream = await asyncio_dgram.connect(("127.0.0.1", 8888))
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await stream.send(b"Hello World!")
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data, remote_addr = await stream.recv()
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print(f"Client received: {data.decode()!r}")
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stream.close()
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async def udp_echo_server():
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stream = await asyncio_dgram.bind(("127.0.0.1", 8888))
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print(f"Serving on {stream.sockname}")
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data, remote_addr = await stream.recv()
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print(f"Echoing {data.decode()!r}")
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await stream.send(data, remote_addr)
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await asyncio.sleep(0.5)
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print(f"Shutting down server")
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def main():
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loop = asyncio.get_event_loop()
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loop.run_until_complete(asyncio.gather(udp_echo_server(), udp_echo_client()))
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if __name__ == "__main__":
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main()
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```
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