In my specific circumstance, I have a complex class (a class of classes of classes) that I want to expose to a scripting language (aka Ruby). Rather that directly pass that complex class, someone gave me the idea of just opening up a few functions to a scripting language like Ruby, which seemed simpler. I've seen Rice but the only examples I've seen use simple functions that just multiply something, rather than interfacing with a class.
For simplicity, I have a simple class with functions I want to expose:
class Foo
{
private:
//Integer Vector:
std::vector<int> fooVector;
public:
//Functions to expose to Ruby:
void pushBack(const int& newInt) {fooVector.push_back(newInt);}
int& getInt(const int& element) {return fooVector.at(element);}
};
ALSO:
I'd prefer not to just have a link to the download page of SWIG, or an article explaining how to do this with rice that was written in 2010, I would like a guide that will likely work (I haven't had much luck just yet)
ASWELL:
I'm using Linux (Ubuntu) but this is a cross-compatible program, so I must be able to compile on Windows and OS X
EDIT:
I do understand that shared libraries exist (dll and so files), but I don't know if I can have a library that depends on a .hpp file containing the class(es).
You can use cython or Boost.Python to call native code from python. Since you are using c++, i'd recommend looking into Boost.Python which offers a very natural way of wrapping c++ classes for python.
As an example (close to what you provided), consider the following class definitions
class Bar
{
private:
int value;
public:
Bar() : value(42){ }
//Functions to expose to Python:
int getValue() const { return value; }
void setValue(int newValue) { value = newValue; }
};
class Foo
{
private:
//Integer Vector:
std::vector<int> fooVector;
Bar bar;
public:
//Functions to expose to Python:
void pushBack(const int& newInt) { fooVector.push_back(newInt); }
int getInt(const int& element) { return fooVector.at(element); }
Bar& getBar() { return bar; }
};
double compute() { return 18.3; }
This can be wrapped to python using Boost.Python
#include <boost/python.hpp>
BOOST_PYTHON_MODULE(MyLibrary) {
using namespace boost::python;
class_<Foo>("Foo", init<>())
.def("pushBack", &Foo::pushBack, (arg("newInt")))
.def("getInt", &Foo::getInt, (arg("element")))
.def("getBar", &Foo::getBar, return_value_policy<reference_existing_object>())
;
class_<Bar>("Bar", init<>())
.def("getValue", &Bar::getValue)
.def("setValue", &Bar::setValue, (arg("newValue")))
;
def("compute", compute);
}
This code can be compiled to a static library MyLibrary.pyd
and used like this
import MyLibrary
foo = MyLibrary.Foo()
foo.pushBack(10);
foo.pushBack(20);
foo.pushBack(30);
print(foo.getInt(0)) # 10
print(foo.getInt(1)) # 20
print(foo.getInt(2)) # 30
bar = foo.getBar()
print(bar.getValue()) # 42
bar.setValue(17)
print(foo.getBar().getValue()) #17
print(MyLibrary.compute()) # 18.3
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