Files

AndreaRigoni c53570192f switch to Ninja+ccache, add clang/lld fast build profile

- CMakePresets.json: add 'fast' preset (clang+lld+ccache)
- .gitignore: generalize build/ to build*/, add CMakeUserPresets.json
- CMakeUserPresets.json: untrack (conan-generated, now gitignored)
- src/Core/Archives.h: remove redundant 'using basic_xml_iarchive::load_override'
  in xml_iarchive; caused ambiguous overload with clang (diamond inheritance)
- src/Core/Object.cpp: remove invalid explicit instantiations of non-template
  virtual Object::serialize (GCC extension, clang rejects)
- README.md, CLAUDE.md: document GCC and LLVM/clang build workflows

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-04-03 08:24:50 +00:00

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uLib

base toolkit library

CMT Cosmic Muon Tomography reconstruction, analysis and imaging software Developed by University of Padova and INFN Sezione di Padova Italy

Build Instructions

This project relies on conan (v2) for dependency management (Eigen3, Boost) and cmake for configuration. VTK is provided through the micromamba/conda-forge environment.

Prerequisites

This project requires a conda or micromamba environment containing the necessary global tools like ROOT, VTK, and Conan (v2). We provide a condaenv.yml file to quickly build this environment.

Installing Micromamba (Optional)

If you do not have conda installed, micromamba is a fast and lightweight alternative. You can install it on Linux via:

"${SHELL}" <(curl -L micro.mamba.pm/install.sh)

Creating the Environment

You can create and activate the environment using either micromamba or conda.

Using Micromamba:

micromamba env create -f condaenv.yml
micromamba activate mutom

Using Conda:

conda env create -f condaenv.yml
conda activate mutom

Configure and Build

Standard build (GCC + Ninja + ccache)

The default conan profile uses Ninja as the generator and ccache for compiler caching, dramatically speeding up incremental rebuilds.

Configure Conan profile (first time only):

conan profile detect

Install Conan dependencies:

conan install . --output-folder=build --build=missing

Configure with CMake:

cmake --preset conan-release

Build:

cmake --build build -j$(nproc)

LLVM/Clang build (clang + lld + ccache — fastest)

A fast conan profile is provided that uses clang, lld (LLVM linker), and ccache. Install them into your environment first:

micromamba install -n mutom -y clang clangxx lld -c conda-forge

Then build using the fast profile:

conan install . --output-folder=build --build=missing --profile=fast
cmake -B build -G Ninja \
      -DCMAKE_TOOLCHAIN_FILE=build/conan_toolchain.cmake \
      -DCMAKE_BUILD_TYPE=Release
cmake --build build -j$(nproc)

The fast profile is defined at ~/.conan2/profiles/fast and sets:

CMAKE_C_COMPILER=clang / CMAKE_CXX_COMPILER=clang++
CMAKE_EXE_LINKER_FLAGS=-fuse-ld=lld
CMAKE_CXX_COMPILER_LAUNCHER=ccache

Make python package

micromamba run -n mutom env USE_CUDA=ON poetry install

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