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(void)jl_eval_string("println(sqrt(2.0))") Ī simple use of this script is from the command line. This script is located in the Julia shared data directory. This script uses the build parameters and system configuration of the particular Julia distribution it is invoked by to export the necessary compiler flags for an embedding program to interact with that distribution. The script julia-config.jl was created to aid in determining what build parameters are required by a program that uses embedded Julia. Using julia-config to automatically determine build parameters This is not necessary when compiling a shared library. If the julia program needs to access symbols from the main executable, it may be necessary to add -Wl,-export-dynamic linker flag at compile time on Linux in addition to the ones generated by julia-config.jl described below. The above example program calls this before returning from main. The second statement in the test program evaluates a Julia statement using a call to jl_eval_string.īefore the program terminates, it is strongly recommended to call jl_atexit_hook. If you need to specify a custom location, or specify which system image to load, use jl_init_with_image instead. #SWIFT SHARE ARRAY BETWEEN THREADS INSTALL#This is done by calling jl_init, which tries to automatically determine Julia's install location. The first thing that has to be done before calling any other Julia C function is to initialize Julia. #SWIFT SHARE ARRAY BETWEEN THREADS HOW TO#The file cli/loader_exe.c program is another simple example of how to set jl_options options while linking against libjulia. For instance, when Julia is installed to $JULIA_DIR, one can compile the above test program test.c with gcc using: gcc -o test -fPIC -I$JULIA_DIR/include/julia -L$JULIA_DIR/lib -Wl,-rpath,$JULIA_DIR/lib test.c -ljuliaĪlternatively, look at the embedding.c program in the Julia source tree in the test/embedding/ folder. In order to build this program you have to put the path to the Julia header into the include path and link against libjulia. Julia time to cleanup pending write requests * strongly recommended: notify Julia that the JULIA_DEFINE_FAST_TLS // only define this once, in an executable (not in a shared library) if you want fast code. ![]() We start with a simple C program that initializes Julia and calls some Julia code: #include For doing this on Windows, please see the section following this. #SWIFT SHARE ARRAY BETWEEN THREADS CODE#Note: This section covers embedding Julia code in C on Unix-like operating systems. As almost all programming languages have some way to call C functions, the Julia C API can also be used to build further language bridges (e.g. ![]() This can be used to integrate Julia code into a larger C/C++ project, without the need to rewrite everything in C/C++. But there are situations where the opposite is needed: calling Julia function from C code.
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