Difference between revisions of "Vcsn/Vcsn2.6"

From LRDE

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== Documentation ==
  
== Documentation ==
   
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* [http://www.lrde.epita.fr/dload/vcsn/2.6/notebooks Documentation of the Python interface]
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* [http://www.lrde.epita.fr/dload/vcsn/2.6/notebooks Using Vcsn in Python]
 
* The [[Vcsn/News File|News File]] contains many examples
  
* The [[Vcsn/News File|News File]] contains many examples
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* [https://www.lrde.epita.fr/dload//vcsn/2.6/vcsn.htmldir/ The C++ reference manual]
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* [https://www.lrde.epita.fr/dload//vcsn/2.6/vcsn.htmldir/ Vcsn C++ reference manual]
   
 
== Available Ports ==
  
== Available Ports ==
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</syntaxhighlight>
  
</syntaxhighlight>
   
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* MacPorts ([https://github.com/macports/macports-ports/blob/master/devel/vcsn/Portfile Portfile])
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* MacPorts
  
 
: Run this command:
  
: Run this command:
 
: <syntaxhighlight lang="bash" enclose="div">
  
: <syntaxhighlight lang="bash" enclose="div">
 
sudo port sync && sudo port install vcsn
  
sudo port sync && sudo port install vcsn
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</syntaxhighlight>
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: or, to upgrade vcsn if you already installed it:
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: <syntaxhighlight lang="bash" enclose="div">
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sudo port sync && sudo port upgrade vcsn
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</syntaxhighlight>
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Be sure to have Boost installed for Python 3.6. The safest way is to run this before:
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: <syntaxhighlight lang="bash" enclose="div">
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sudo port uninstall boost && sudo port install python36 boost +python36
 
</syntaxhighlight>
  
</syntaxhighlight>
   
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* Tarballs (sources to compile):
 
* Tarballs (sources to compile):
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** [{{SERVER}}/dload/vcsn/2.6/vcsn-2.6.tar.bz2 vcsn-2.6.tar.bz2] (25MB) (md5sum: ...)
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** [{{SERVER}}/dload/vcsn/2.6/vcsn-2.6.tar.bz2 vcsn-2.6.tar.bz2] (25MB) (SHA256: 4ca3ce77a52e9a2e10e80e6dfb04d54484dbad65dc243dfe8ae49a18dfb29b96)
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** [{{SERVER}}/dload/vcsn/2.6/vcsn-2.6.tar.xz vcsn-2.6.tar.xz] (14MB) (md5sum: ...)
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** [{{SERVER}}/dload/vcsn/2.6/vcsn-2.6.tar.xz vcsn-2.6.tar.xz] (14MB) (SHA256: 87bcfc6f722f6f39613b7f2a8b7de95d682e32d33c08edcebf6790129cb6dff5)
   
 
== Requirements ==
  
== Requirements ==

Latest revision as of 08:26, 16 March 2018


The Vcsn group is happy to announce the release of Vcsn 2.6. Most of our work was devoted to providing a better, smoother, user experience. This includes improvements in the build system, better performances, and extended consistency.

For more information, please, the NEWS file.

We warmly thank our users who made valuable feedback (read "bug reports"): Victor Miller, Dominique Soudière and Harald Schilly. Dominique and Harald helped integrating Vcsn into SageMathCloud.

People who contributed to this release:

  • Akim Demaille
  • Clément Démoulins
  • Clément Gillard
  • Sarasvati Moutoucomarapoulé

Documentation

Available Ports

  • Docker
Run this command to pull and start the Vcsn docker image on port 8888
docker run -d -p 8888:8888 lrde/vcsn:2.6
  • 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
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-2.6.tar.bz2 (25MB) (SHA256: 4ca3ce77a52e9a2e10e80e6dfb04d54484dbad65dc243dfe8ae49a18dfb29b96)
    • vcsn-2.6.tar.xz (14MB) (SHA256: 87bcfc6f722f6f39613b7f2a8b7de95d682e32d33c08edcebf6790129cb6dff5)

Requirements

In order to compile Vcsn 2.6, you need:

Boost
Boost (version 1.49 or later) provides free peer-reviewed portable C++ source libraries (at least the Boost.Python and Boost.Regex components, 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.
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