A cython wrapper from python to C++ to python again. This is only an example how to achieve things. Not a library.
First build the cpp lib:
$ cd clib
$ make
Then build the C extension with cython (maybe you have to change some flags to correct include paths in setup.py
...):
$ python setup.py build_ext -i
Be sure that $LD_LIBRARY_PATH
points to the clib
directory that libclib.so
can be found :
$ export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$(pwd)/clib
Run the 'tests':
$ python test.py
We want to hand over pure python functions to a library that expects std::function
objects, let it run and then use the result in python again.
First we write a wrapper for each function that expexts a std::function
which expects a void*
and a std::function
with the same signature as the original std::function
object plus a void pointer.
The void*
will point to the python function and the other std::function
to something, which can evaluate this python function. We that give the original function a closure with the right signature.
What? Here's an example:
// The original function we want to wrap
int orig_func(std::function<double(double)> callback) { // do something }
// The wrapper around that
int orig_func_wrapper(void* python_func, std::function<double(void*, double)> eval_func) {
return orig_func([](double v){ return eval_func(python_func, v); };
}
Ok, now we need the evaluation function. That one is done in cython. We nee one for each std::function
template instantiation we want to use as callback. It gets as first argument the python function as void*
# eval_func for std::fucntion<double(double)>
cdef inline double evaluate_function(void* func_p, double value):
# recover Python function object from void* argument and call it
return (<object> func_p)(value)
Now we want to call the orig_func
from python. We wrap that using cython and our wrappers like this:
def py_orig_func(py_func):
orig_func_wrapper(<void*>py_func, evaluate_function)
Everything else is normal cython. Refer to its documentation for that.