Installation

C++ Build

Dependencies

Library	Purpose
GSL	Multidimensional root-finding
HDF5	Input/output tables (C++ API)
yaml-cpp	Configuration file parsing
CGAL	Delaunay triangulation
OpenMP	Parallel grid evaluation
CMake >= 3.5, C++17 compiler	Build toolchain

Ubuntu / Debian

sudo apt install \
    libgsl-dev \
    libhdf5-dev \
    libyaml-cpp-dev \
    libcgal-dev libgmp-dev libmpfr-dev

macOS (Homebrew)

brew install gsl hdf5 yaml-cpp cgal libomp

On macOS the OpenMP runtime is provided by libomp, which Homebrew keeps keg-only. Point CMake at it when configuring:

cmake -S . -B build -DOpenMP_ROOT="$(brew --prefix libomp)"

Building from source

From the repository root:

cmake -S . -B build
cmake --build build -j

The compiled binary is build/generate_eos_table.

To also build and run the unit tests:

cmake -S . -B build -DENABLE_TESTING=ON
cmake --build build -j
cd build && ctest --output-on-failure

Docker

Build the image from the repository root:

docker build --platform linux/amd64 -t eos-inverter .

Run the inverter by mounting your input EoS directory and an output directory:

docker run --rm \
    --platform linux/amd64 --user $(id -u):$(id -g) \
    -v /path/to/my/config:/opt/input \
    -v /path/to/output:/opt/output \
    eos-inverter \
    ./build/generate_eos_table input/config.yaml

Inside the container the working directory is /opt/. Ensure your config.yaml’s input.path points directly to the EoS table file, using a path relative to /opt (e.g. input.path: input/thermo.csv). If the table file lives in its own mounted directory, mount it separately (e.g. -v /path/to/my/eos:/opt/eos and set input.path: eos/thermo.csv).