It is STRONGLY advised to read through this entire doc page before getting started.
Build tools
Compiler
SOFA requires a C++17 compatible compiler.
On MacOS, we officially support MacOS >= 10.13.2 (High Sierra) and AppleClang >= 9.1.0.
Check your MacOS version with system_profiler SPSoftwareDataType
Check your AppleClang version with clang --version
If your MacOS version is too low, update your Mac from the App Store.
If your AppleClang version is too low:
-
Download and install the highest possible Xcode compatible with your MacOS.
Compatibility list (taken from Wikipedia):
To download any version, go to https://developer.apple.com/download/more/ and search for "Xcode".MacOS >= 11.3 : Xcode 13.2.1 (with AppleClang 13.0.0) MacOS >= 11.0 : Xcode 12.5.1 (with AppleClang 12.0.5) MacOS >= 10.15.4 : Xcode 12.4 (with AppleClang 12.0.0) MacOS >= 10.15.2 : Xcode 11.7 (with AppleClang 11.0.3) MacOS >= 10.14.4 : Xcode 11.3.1 (with AppleClang 11.0.0) MacOS >= 10.14.3 : Xcode 10.3 (with AppleClang 10.0.1) MacOS >= 10.13.6 : Xcode 10.1 (with AppleClang 10.0.0) MacOS >= 10.13.2 : Xcode 9.4.1 (with AppleClang 9.1.0)
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Open Xcode to automatically finalize installation
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In Xcode, navigate to "Xcode > Preferences > Locations" and set Command Line Tools to your Xcode version
-
Verify Command Line Tools path:
xcode-select -p
If it is not pointing to your Xcode, change it:xcode-select --switch /Applications/Xcode.app
-
Reboot
CMake: Makefile generator
SOFA requires at least CMake 3.22.
[optional] Ninja: build system
Ninja is an alternative to Make. It has a better handling of incremental builds.
[optional] CCache: caching system
We advise you to use ccache. It is by no means mandatory, but it will dramatically improve the compilation time if you make changes to SOFA.
Dependencies
Core (required)
SOFA requires some libraries: - tinyXML2
-
Qt (>= 5.12.0) with Charts and WebEngine
We recommend to install Qt in your user directory with the unified installer.
Make sure to enable Charts and WebEngine components.
-
Boost (>= 1.65.1)
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Python 3.10 + pip + numpy + scipy
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Additional libraries: libPNG, libJPEG, libTIFF, Glew
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SOFA v20.06 and newer also need Eigen (>= 3.2.10)
Plugins (optional)
SOFA plugins depend on libraries that are available in the official repositories.
You probably don't need them all, but you might find it convenient to
install them all and not worry about it later.
This list does not cover all available SOFA plugins, only the ones that are built by our continuous integration platform.
- CGALPlugin
- MeshSTEPLoader
- SofaAssimp
- SofaCUDA
- SofaPardisoSolver
Building SOFA
Setup your source and build directories
To set up clean repositories, we recommend to arrange the SOFA directories as follows:
First, checkout the sources from Git repository:
Get the current stable version on the v24.06 branch:
OR get the development unstable version on the master branch:
Generate a Makefile with CMake
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Create build directories respecting the arrangement above.
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Run CMake.app and set source folder and build folder.
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Run Configure. A popup will ask you to specify the generator for the project.
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If you installed Ninja (recommended), select "CodeBlocks - Ninja".
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Otherwise, select "CodeBlocks - Unix Makefile".
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Keep "Use default native compilers" and press "Done".
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Fix eventual dependency errors by following CMake messages (see Troubleshooting section below). Do not worry about warnings.
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Customize SOFA via CMake variables
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choose the build type by setting CMAKE_BUILD_TYPE to "Release" or "RelWithDebInfo" (recommended) or "Debug"
- if your Mac has a M1 processor: set CMAKE_OSX_ARCHITECTURES to "arm64"
- activate or deactivate plugins: see PLUGIN_XXX variables
- activate or deactivate functionalities: see SOFA_XXX variables
Do not forget to Configure again to check if your changes are valid.
- When you are ready, run Generate.
Compile
To compile, open a terminal in your build directory and run make
or ninja
depending on the generator you chose during CMake configuration.
Do not forget the -j
option to use all your CPU cores.
Time for a coffee!
Troubleshooting CMake errors
Qt detection error
To solve Qt detection errors, click on Add Entry and add
CMAKE_PREFIX_PATH
with path /home/YOUR_USERNAME/Qt/QT_VERSION/COMPILER
matching your
Qt architecture.
Example: CMAKE_PREFIX_PATH=/home/bob/Qt/5.7/gcc_64
Configure again.
A further dev warning may appear:
CMake Warning (dev) at YOUR_QT_PATH/lib/cmake/Qt5Core/Qt5CoreMacros.cmake:224 (configure_file):
configure_file called with unknown argument(s):
COPY_ONLY
Call Stack (most recent call first):
applications/projects/Modeler/exec/CMakeLists.txt:14 (qt5_add_resources)
This is just a typo with Qt5CoreMacros.cmake file. It uses COPY_ONLY instead of COPYONLY. Simply edit your Qt5CoreMacros.cmake, replace COPY_ONLY with COPYONLY and Configure again.