To compile the tests of the C++ interface simply
mkdir -p test/build && cd test/build
cmake ..
makeIn WSL (Windows Subsystem Linux), you can run the following command to install libc6-dev-i386. This will be required for ieeefp.h which is used by qd library,
sudo apt-get install libc6-dev-i386
Also to install mkl related dependencies, run the following,
wget https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS-2023.PUB
sudo apt-key add GPG-PUB-KEY-INTEL-SW-PRODUCTS-2023.PUB
sudo sh -c 'echo deb https://apt.repos.intel.com/mkl all main > /etc/apt/sources.list.d/intel-mkl.list'
sudo apt-get update
sudo apt-get install intel-mkl-2020.4-912
sudo sh -c "echo /opt/intel/mkl/lib/intel64 > /etc/ld.so.conf.d/intel-mkl.conf"
sudo ldconfig
export CPLUS_INCLUDE_PATH="/opt/intel/mkl/include:$CPLUS_INCLUDE_PATH"
You can run the tests by cmake test or ctest -jK where K the number of CPU threads. By adding the option --verbose to ctest you get more information about the tests, e.g. time per test, volume computed and the name of the polytope or convex body.
Optionally, it is possible to setup a docker contaner with development environment. To get started with docker, see here. Below, here is how a Dockerfile can be written
FROM ubuntu:18.04
RUN apt-get update && apt-get install -y g++ cmake lp-solve && \
rm -rf /var/lib/apt/lists/*
The user should create a file Dockerfile.dev with above content inside a temporary folder (e.g. docker) then create an image and run a container:
# build docker image
cd docker
docker build -t volesti:dev -f Dockerfile.dev .
# check built image
docker images | grep volesti
# run a container in an interactive mode from volesti source folder
docker run -it -v $PWD:/volesti -w /volesti --name=volesti-dev volesti:dev /bin/bashAn R interface is available from the package Rvolesti.
A python interface is available from the package dingo.