RLNC Network Coding Library
kodo-python contains a set of high-level Python bindings for the Kodo Network Coding C++ library. The bindings provide access to basic functionality provided by Kodo, such as encoding and decoding data. The examples folder contains sample applications showing the usage of the Python API.
If you have any questions or suggestions about this library, please contact us at our developer mailing list (hosted at Google Groups):
Table of Contents:
A valid license is required if you wish to use and install this library. Please request a license by filling out the license request form.
This project is available under a research- and education-friendly license, see the details in the LICENSE.rst file.
First of all, follow this Getting Started guide to install the basic tools required for the compilation (C++11 compiler, Git, Python).
The compilers used by Steinwurf are listed at the bottom of the buildbot page.
These steps may not work with your specific Linux distribution, but they may guide you in the right direction.
First, acquire the required packages from your package management system:
sudo apt-get update sudo apt-get install python build-essential libpython-dev python-dev
If you are using Python 3, you’ll need to install libpython3-dev instead.
Install the latest XCode and Command Line Tools from the Mac Store.
Python 2.7 is pre-installed on OSX, and the required Python headers should also be available. If you are having trouble with the pre-installed Python version, then you can install a more recent Python version with MacPorts or Homebrew.
Install Python 2.7 (32-bit) and Visual Studio Express 2013 for Windows Desktop. Then set the VS90COMNTOOLS environment variable to:
C:\Program Files (x86)\Microsoft Visual Studio 12.0\Common7\Tools\
so that Python distutils can detect your new compiler.
It is recommended to build the Python bindings from source (the other option is installing with pip as described below).
First, clone the project:
git clone firstname.lastname@example.org:steinwurf/kodo-python.git
Configure and build the project:
cd kodo-python python waf configure python waf build
After building the project, you should find the resulting kodo.so, kodo.dylib or kodo.pyd file here (the actual path and extension depend on your OS):
build/linux/src/kodo_python/kodo.so build/darwin/src/kodo_python/kodo.dylib build/win32/src/kodo_python/kodo.pyd
You can copy this file to the same folder as your Python scripts, or you can copy it to your PYTHONPATH (so that you can import it from anywhere).
Then you can import the module in your Python script:
>>> import kodo
The compilation process might take a long time on certain Linux systems if less than 4 GB RAM is available. The g++ optimizer might consume a lot of RAM during the compilation, so if you see that all your RAM is used up, then it is recommended to constrain the number of parallel jobs to one during the build step:
python waf build -j 1
With this change, a fast compilation is possible with 2 GB RAM.
This issue is specific to g++ (which is the default compiler on Linux), but the RAM usage and the compilation time could be much better with clang. The code produced by clang is also fast.
If the compilation does not work with g++, then you can install clang like this (on Ubuntu and Debian):
sudo apt-get install clang-3.5
Then you should configure the project with the appropriate mkspec. Use the following command on 32-bit Linux:
python waf configure --options=cxx_mkspec=cxx_clang35_x86
Or use this one on 64-bit Linux:
python waf configure --options=cxx_mkspec=cxx_clang35_x64
We also provide a pip package for the installation of kodo-python with a single command.
If you don’t have pip installed, then you can follow this guide.
Of course, you also need to install the required tools specified above.
Note that the pip package might not contain the latest version of kodo-python, and it might not work on all systems. In fact, pip will also build the project from source, download its dependencies, configure the compiler, but these details are largely hidden from you. Debugging pip errors could be difficult, so please build the project from source if pip does not work for you.
Install the package with this command:
sudo pip install kodo
To enable the use of pip from the command line, ensure that the Scripts subdirectory of your Python installation is available on the system PATH. (This is not done automatically.)
Install the package with this command:
pip install kodo