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Installation
PICARD Michaël edited this page Mar 26, 2019
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If you want to prepare your machine to use TuxML and mass compilation, you will need Docker and MLfood.py.
You can visit Docker if you need further informations.
On Linux in a terminal:
curl -fsSL get.docker.com -o get-docker.sh
sh get-docker.sh
One file is needed to run several compilations on a machine is the script MLfood.py because it is designed to run Docker containers and use the TuxML image needed.
You can download MLfood.py here.
Once Docker has been installed and MLfood.py has been downloaded, create a new directory to store the script. It will contains the "Logs" folder from the compilations made on Docker.