Skip to main content

Channels between coroutines

Project description

Channels between coroutines

A simple Python implementation of the channel synchronization construct for async/await applications.

Channels are used for synchronization in the CSP concurrency model. They are natively supported by languages that implement this model, such as occam and Go. Python has asynchronous generators, which are similar to channels except that they require yielding instead of calling from one of the two endpoints. While this makes no difference in many cases, some problems are easier to solve if a data stream can be accessed from both ends by calling instead of yielding.

The sav.channels module implements channels as pairs of asynchronous generators. When an object is sent into one generator, it will be yielded by the other generator, and vice-versa.

Installation

This module requires Python 3.8 or higher. Use pip to install it from the command line:

pip install sav.channels

Or visit the online project pages on GitHub and PyPI.

Example

import asyncio
from sav import channels

a_receiver, a_sender = channels.create()
b_receiver, b_sender = channels.create()

async def send_messages():
    """Send messages into multiple channels."""
    async with channels.open(a_sender), channels.open(b_sender):
        await a_sender.asend('Hello Arnold.')
        await b_sender.asend('Hello Bernard.')
        await a_sender.asend('Goodbye Arnold.')
        await b_sender.asend('Goodbye Bernard.')

async def show_messages(name, receiver):
    """Show messages from a single channel."""
    async for message in receiver:
        print(f'Message for {name}: {message}')    

async def main():
    """Run both channels concurrently."""
    await asyncio.gather(send_messages(),
                         show_messages('Arnold', a_receiver),
                         show_messages('Bernard', b_receiver))

asyncio.run(main())

Documentation

See the documentation for further details.

Or use Sphinx to build a local copy of the documentation from the package source:

cd docs
make singlehtml

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sav.channels-0.5.tar.gz (3.4 kB view details)

Uploaded Source

Built Distribution

sav.channels-0.5-py3-none-any.whl (4.6 kB view details)

Uploaded Python 3

File details

Details for the file sav.channels-0.5.tar.gz.

File metadata

  • Download URL: sav.channels-0.5.tar.gz
  • Upload date:
  • Size: 3.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.39.0 CPython/3.8.0

File hashes

Hashes for sav.channels-0.5.tar.gz
Algorithm Hash digest
SHA256 aaffa3baefd3821d44b77916febbedc44b78c010f0f9c5f409955bce55134ee3
MD5 d0d487cf3929433553016e26b2d5386f
BLAKE2b-256 7d6c54f2c1f586f85496c80542f443f8ce121d460c61b3bccf8b9d1ad61b8873

See more details on using hashes here.

File details

Details for the file sav.channels-0.5-py3-none-any.whl.

File metadata

  • Download URL: sav.channels-0.5-py3-none-any.whl
  • Upload date:
  • Size: 4.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.39.0 CPython/3.8.0

File hashes

Hashes for sav.channels-0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 88791a924b0db964362b9671d0b7251ff52fc36d5c830b2d15e7038b7fdc7e1a
MD5 33d7c3d8776d887fd18f37ce1d78f6bf
BLAKE2b-256 190d80670b06b7ba62235dce58eeb120820f03945e6ea7a29929ec3e5e630c70

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page