It's recommended to use the example repository here: https://github.com/hube12/seedfinding_example.
It's solely a cmake file that configure and add the library as a local library so the executable can be link against.
The main part are the cmake/libseedfinding.cmake and the following lines :
##################### Configure the library ##############################
# find the external project and include it
set(CMAKE_MODULE_PATH ${CMAKE_MODULE_PATH} ${CMAKE_CURRENT_SOURCE_DIR}/cmake)
include(seedfinding)
# create the library and bind the cmake script to it, the library is available everywhere now
add_library(libseedfinding INTERFACE)
add_dependencies(libseedfinding seedfinding)
target_include_directories(libseedfinding INTERFACE ${libseedfinding_INCLUDE_DIR})
##########################################################################After installation (you can use the install.bat as administrator, or the install.sh with sudo privileges) with Cmake, a find_package(libseedfinding) is available.
This creates a libseedfinding::libseedfinding target (if found).
It can be linked like so:
target_link_libraries(your_exe libseedfinding::libseedfinding)
The following will build & install for later use. (you can also do cmake . && make install_libseedfinding)
Linux/macOS:
mkdir -p build
cd build
cmake -DCMAKE_BUILD_TYPE=Release ..
sudo cmake --build . --target install
Windows:
mkdir build
cd build
cmake ..
runas /user:Administrator "cmake --build . --config Release --target install"
See example/ after installing
Create new .h in include and add it to the CmakeLists.txt after the line 177:
######################### LIST of all header files to include ############################
list(APPEND LIBSEEDFINDING_HEADERS
"lcg.h"
"simplex.h"
"util.h"
"version.h")
if (LIBSEEDFINDING_IS_USING_CUDA)
list(APPEND LIBSEEDFINDING_HEADERS
"kernels.cuh")
endif()
##########################################################################################So far the standalone static library is not tested, see split.py