- The easiest way is to use the provided Docker container, either directly or via the VSCode DevContainer extension (see .devcontainer). Alternatively: Install a modern C++ compiler (eg clang-19) and install and setup conda. Feel free to look at the .devcontainer/conan-profiles for the conan profiles, but the only necessary one is setting the cpp standard to c++20. Install poplar.
- Create packages for the dependencies that are not available via conan yet:
conan create libspnipu/libs/graphene/conan/fast_matrix_market
conan create libspnipu/libs/graphene/libgraphene/libs/twofloat- Install the dependencies via conan:
# Use release dependencies for the debug build
conan install . --build=missing -s build_type=RelWithDebInfo -s "&:build_type=Debug"
conan install . --build=missing -s build_type=RelWithDebInfo
conan install . --build=missing -s build_type=ReleaseYou can also statically link the dependencies if you like:
```bash
# Use release dependencies for the debug build
conan install . --build=missing -s build_type=RelWithDebInfo -s "&:build_type=Debug" -o "*:shared=False"
conan install . --build=missing -s build_type=RelWithDebInfo -o "*:shared=False"
conan install . --build=missing -s build_type=Release -o "*:shared=False"- Build the project using cmake with the CMakeUsersPresets.json generated by conan