copyright Guillaume Gay - 2012 - 2014 - http://damcb.com
This work is pending publication - once the associated scientific article is out, it will be released as a GPL project.
This work was done in collaboration with Magali Suzanne group at LBCMCP - Université de Toulouse.
If you're just here for eye candy, you can watch a video of the simulation here
- Python >= 3.3 (might work with minimal effort on 2.7, but it's untested)
- numpy >= 1.8
- scipy >= 0.12
- pandas >= 0.13
- matplotlib >= 1.3
- IPython >= 1.0
- graph_tool >= 2.2.36 warning Due to a bug in version 2.2.35, this version won't work
The easiest route to install (nearly) all the dependencies is to use
Anaconda. For
graph-tool follow the link above and the instructions
there. If 2.2.36 or higher is stable, the easiest way is to install
from the precompiled packaged binaries, if available for your OS. If
only 2.2.35 is released (as of the time of this writing), you need to
compile the version from git.
The best way to approach the simulations work-flow is to have a look (and eventually execute) at the notebooks. You can browse static views of those here: http://nbviewer.ipython.org/github/glyg/leg-joint/tree/master/notebooks/
We are grateful to Corinne Benassayag, Emmanuel Farge, Yannick Gachet, Thomas Lecuit, Pierre-François Lenne, François Payre, Ernesto Sanchez-Herrero, Bénédicte Sanson and Sylvie Tournier for comments on the manuscript, to Tiago de Paula Peixoto for providing the graph-tool library, and to Marion Aguirrebengoa for helping us with statistics. MS's lab is supported by an ANR grant, a RITC grant and a grant from the University of Toulouse.