Vcsn 2.7 (March 25th, 2018)

We are happy to announce the release of Vcsn 2.7. This is mostly a bug fix release, with improvements in the documentation, based on user feedback. Most of our efforts are currently devoted to Vcsn 3.0.

For more information, please, the NEWS file.

Documentation

Available Ports

Docker

Run this command to pull and start the Vcsn docker image on port 80

docker run -d -p 8888:80 lrde/vcsn:2.7

Debian Jessie

Run this command

echo 'deb http://www.lrde.epita.fr/repo/debian/ stable/' >/etc/apt/sources.list.d/lrde.list
apt-get update
apt-get install vcsn
# Jupyter is not currently available on Debian
apt-get install python3-pip python3-dev libzmq3-dev
pip3 install jupyter

Archlinux (AUR)

Run this command:

yaourt -S vcsn

MacPorts (Portfile)

Run this command:

sudo port sync && sudo port install vcsn

or, to upgrade vcsn if you already installed it:

sudo port sync && sudo port upgrade vcsn

Be sure to have Boost installed for Python 3.6. The safest way is to run this before:

sudo port uninstall boost && sudo port install python36 boost +python36

Downloads

Tarballs (sources to compile):
- vcsn-2.7.tar.bz2 (14MiB) (SHA256: e8d3061e6fcc5612566aaa8e78019646a7d74c1bdab9161437aded08608bf988)
- vcsn-2.7.tar.xz (14MiB) (SHA256: 95623ced01a312f60bb754ced6e9d143884e8f3063774ce6dba114147fd59618)

Requirements

In order to compile Vcsn 2.7, you need:

Boost: Boost (version 1.49 or later) provides free peer-reviewed portable C++ source libraries (at least Boost.IOStreams, Boost.Filesystem, Boost.Flyweight, Boost.Python, Boost.Regex, and probably others).
Ccache: Compiler cache.
C++ compiler: Clang 3.6 or newer and GNU G++ 4.9 or newer are known to work properly.
Doxygen: To build the C++ reference manual.
Graphviz: The display of automata is made using AT&T Graphviz library. (On Ubuntu/Debian, install the following package: graphviz)
Flex: The Flex scanner generater, 2.5.37 or better.
IPython: Although not strictly needed, it is required if you want to enjoy the Vcsn interactive notebooks.
Python: Python 3 is required
Yaml-cpp: Version 0.5.1 or 0.5.3 or more recent, but not 0.5.2.