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fibers: lightweight concurrent multitasking

Overview

Fibers are lightweight primitives for cooperative multitasking in Python. They provide means for running pieces of code that can be paused and resumed. Unlike threads, which are preemptively scheduled, fibers are scheduled cooperatively, that is, only one fiber will be running at a given point in time, and no other fiber will run until the user explicitly decides so.

When a fiber is created it will not run automatically. A fiber must be 'switched' into for it to run. Fibers can switch control to other fibers by way of the switch or throw functions, which switch control or raise and exception in the target fiber respectively.

Example:

import fibers

def func1():
    print "1"
    f2.switch()
    print "3"
    f2.switch()

def func2():
    print "2"
    f1.switch()
    print "4"

f1 = fibers.Fiber(target=func1)
f2 = fibers.Fiber(target=func2)
f1.switch()

The avove example will print "1 2 3 4", but the result was obtained by the cooperative work of 2 fibers yielding control to each other.

CI status

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Documentation

http://readthedocs.org/docs/python-fibers/

Installing

fibers can be installed via pip as follows:

pip install fibers

Building

Get the source:

git clone https://github.com/saghul/python-fibers

Linux:

./build_inplace

Mac OSX:

(XCode needs to be installed)
export ARCHFLAGS="-arch x86_64"
./build_inplace

Microsoft Windows (with Visual Studio 2008):

./build_inplace
(or, with cmd.exe)
python setup.py build_ext --inplace

Running the test suite

The test suite can be run using nose:

nosetests -v -w tests/

Author

Saúl Ibarra Corretgé <saghul@gmail.com>

This project would not have been possible without the previous work done in the greenlet and stacklet (part of PyPy) projects.

License

Unless stated otherwise on-file fibers uses the MIT license, check LICENSE file.

Supported Python versions

Python >= 2.6 is supported. Yes, that includes Python 3.

Supported architectures

x86, x86-64 and ARM are supported.

Contributing

If you'd like to contribute, fork the project, make a patch and send a pull request. Have a look at the surrounding code and please, make yours look alike.

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Lightweight cooperative microthreads for Python

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