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This content explains how to to install dolfinx_mpc library for FeniCSx to implement multipoint boundary conditions such as slip conditions or periodic conditions and is based on (https://github.com/jorgensd/dolfinx_mpc)

1. Cloning git directory of dolfinx_mpc and matching a version with dolfinx

git clone https://github.com/jorgensd/dolfinx_mpc.git
cd dolfinx_mpc
git checkout v0.9.0

2. Build libraries using cmake

2.1. Setting cmake, ninja, c and c++ compilers

Since packages for FeniCSx including dolfinx have been installed using spack, it is important to have the same versions of cmake, c & c++ compilers and other python-c binding packages as used when installing Fenicsx, which is called Application Binary Interface (ABI) compatibility.

After activating your spack environment for Fenicsx, by using which cmake command, you can check which version of cmake is loaded. If it does not match with the one in spack environment, you can use spack load cmake to activate the same version of cmake used for installing dolfinx.

Also, if ninja is not installed, you can install ninja using spack install ninja and spack load ninja.

You can check the version of c & c++ compilers used for installing dolfinx using spack find, and the current loaded compilers using echo $CC or echo $CXX. If they don’t match, you can match them using the following command:

export CC=/usr/bin/gcc-12
export CXX=/usr/bin/g++-12

Also, if nanobind and scikit-build-core are not seen by pip (this happens because these libraries are installed as build-dependencies), you can load them using spack load py-nanobind@2.5.0 and spack load py-scikit-build-core@0.10.7.

Then, you can build dolfinx_mpc libraries using the following command.

cmake -G Ninja \
  -DCMAKE_BUILD_TYPE=Release \
  -DCMAKE_INSTALL_PREFIX=./install-dir \
  -B build-dir cpp/

And you can install dolfinx_mpc libraries using the following command.

ninja -j3 install -C build-dir

Lastly, you can install python bind for dolfinx_mpc using the following command.

python3 -m pip -v install --config-settings=cmake.build-type="Release" --config-settings=cmake.args="-DCMAKE_PREFIX_PATH=/lus/grand/projects/NeuralDE/hjkim/dolfinx_mpc/install-dir" --no-build-isolation ./python -U