92 lines
2.7 KiB
Markdown
92 lines
2.7 KiB
Markdown
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This repository provide all the necessary material
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for the practical session of SETI Master - AI section.
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The main file is a jupyter notebook `code/tutorial.ipynb`, slides for the first
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part of the tutorial are under `doc/slides.pdf`.
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There are several dependancies to install.
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# Getting started
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* We suppose python3.9 is installed and pip
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* First we can move into code folder
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```
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cd code
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```
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* We recommend creating a dedicated environment for the tutorial, using for instance virtualenv. If virtualenv is not installed run:
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```
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python3.9 -m pip install virtualenv
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```
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Afterwards you can create the virtualenv using:
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```
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virtualenv ~/.virtualenvs/tuto_seti
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```
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consider adding `-p /usr/bin/python3.9` pointing to your python version if you have multiple python installed.
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Then activate the environment using
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```
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source ~/.virtualenvs/tuto_seti/bin/activate
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```
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* Once in this venv, we can install python dependencies needed for this tutorial with :
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```
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jupyter notebook tutorial.ipynb
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```
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# Tools installation
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* **Z3**: your linux distribution should have a package (named z3):
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```
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sudo apt install z3
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```
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Otherwise check [here](https://github.com/Z3Prover/z3) for a detailed installation instruction
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* **ISAIEH** can be found compiled in the `bin` folder.
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* **Marabou** can be found compiled in the `bin` folder.
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* **PyRAT** comes as a precompiled binary in this repository that requires Python 3.9
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When everything is installed, `jupyter notebook tutorial.ipynb` should open the tutorial notebook in your web browser.
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## In case compiled version does not work
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* **ISAIEH**: The next is to install dependencies for ISAIEH, which we will use:
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* install the ocaml opam build system with:
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```
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sudo apt install opam
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```
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* Additional system dependencies with `m4` and `gmp` are needed at minimum.
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Install them using
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```
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sudo apt install m4 libgmp3-dev
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```
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on a Debian-like.
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* Finally we can install ISAIEH with
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```
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git clone https://git.frama-c.com/pub/isaieh.git && cd isaieh && opam init --disable-sandboxing && opam install -y . && eval $(opam env) && dune build
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```
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* **Marabou** can be compiled from [source](https://github.com/NeuralNetworkVerification/Marabou) using:
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```
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sudo apt install cmake libboost-all-dev
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```
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```
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git clone https://github.com/NeuralNetworkVerification/Marabou
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cd Marabou
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mkdir build
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cd build
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cmake ..
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cmake --build .
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```
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If this does not work an older version binary can be downloaded with
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```
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wget https://aisafety.stanford.edu/marabou/marabou-1.0-x86_64-linux.zip
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```
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### Authors
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- Augustin Lemesle
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- Julien Girard-Satabin
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- Guillaume Charpiat
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- Zakaria Chihani
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- Marc Schoenauer
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