Can I override a C++ virtual function within Python with Cython?

Question

I have a C++ class with a virtual method:

//C++
class A
{

    public:
        A() {};
        virtual int override_me(int a) {return 2*a;};
        int calc         


        

Answer 1

Excellent !

Not complete but sufficient. I've been able to do the trick for my own purpose. Combining this post with the sources linked above. It's not been easy, since I'm a beginner at Cython, but I confirm that it is the only way I could find over the www.

Thanks a lot to you guys.

I am sorry that I don't have so much time go into textual details, but here are my files (might help to get an additional point of view on how to put all of this together)

setup.py :

from distutils.core import setup
from distutils.extension import Extension
from Cython.Distutils import build_ext

setup(
    cmdclass = {'build_ext': build_ext},
    ext_modules = [
    Extension("elps", 
              sources=["elps.pyx", "src/ITestClass.cpp"],
              libraries=["elp"],
              language="c++",
              )
    ]
)

TestClass :

#ifndef TESTCLASS_H_
#define TESTCLASS_H_


namespace elps {

class TestClass {

public:
    TestClass(){};
    virtual ~TestClass(){};

    int getA() { return this->a; };
    virtual int override_me() { return 2; };
    int calculate(int a) { return a * this->override_me(); }

private:
    int a;

};

} /* namespace elps */
#endif /* TESTCLASS_H_ */

ITestClass.h :

#ifndef ITESTCLASS_H_
#define ITESTCLASS_H_

// Created by Cython when providing 'public api' keywords
#include "../elps_api.h"

#include "../../inc/TestClass.h"

namespace elps {

class ITestClass : public TestClass {
public:
    PyObject *m_obj;

    ITestClass(PyObject *obj);
    virtual ~ITestClass();
    virtual int override_me();
};

} /* namespace elps */
#endif /* ITESTCLASS_H_ */

ITestClass.cpp :

#include "ITestClass.h"

namespace elps {

ITestClass::ITestClass(PyObject *obj): m_obj(obj) {
    // Provided by "elps_api.h"
    if (import_elps()) {
    } else {
        Py_XINCREF(this->m_obj);
    }
}

ITestClass::~ITestClass() {
    Py_XDECREF(this->m_obj);
}

int ITestClass::override_me()
{
    if (this->m_obj) {
        int error;
        // Call a virtual overload, if it exists
        int result = cy_call_func(this->m_obj, (char*)"override_me", &error);
        if (error)
            // Call parent method
            result = TestClass::override_me();
        return result;
    }
    // Throw error ?
    return 0;
}

} /* namespace elps */

EDIT2 : A note about PURE virtual methods (it appears to be a quite recurrent concern). As shown in the above code, in that particular fashion, "TestClass::override_me()" CANNOT be pure since it has to be callable in case the method is not overridden in the Python's extended class (aka : one doesn't fall in the "error"/"override not found" part of the "ITestClass::override_me()" body).

Extension : elps.pyx :

cimport cpython.ref as cpy_ref

cdef extern from "src/ITestClass.h" namespace "elps" :
    cdef cppclass ITestClass:
        ITestClass(cpy_ref.PyObject *obj)
        int getA()
        int override_me()
        int calculate(int a)

cdef class PyTestClass:
    cdef ITestClass* thisptr

    def __cinit__(self):
       ##print "in TestClass: allocating thisptr"
       self.thisptr = new ITestClass(self)
    def __dealloc__(self):
       if self.thisptr:
           ##print "in TestClass: deallocating thisptr"
           del self.thisptr

    def getA(self):
       return self.thisptr.getA()

#    def override_me(self):
#        return self.thisptr.override_me()

    cpdef int calculate(self, int a):
        return self.thisptr.calculate(a) ;


cdef public api int cy_call_func(object self, char* method, int *error):
    try:
        func = getattr(self, method);
    except AttributeError:
        error[0] = 1
    else:
        error[0] = 0
        return func()

Finally, the python calls :

from elps import PyTestClass as TC;

a = TC(); 
print a.calculate(1);

class B(TC):
#   pass
    def override_me(self):
        return 5

b = B()
print b.calculate(1)

This should make the previous linked work hopefully more straight to the point we're discussing here...

EDIT : On the other hand the above code could be optimized by using 'hasattr' instead of try/catch block :

cdef public api int cy_call_func_int_fast(object self, char* method, bint *error):
    if (hasattr(self, method)):
        error[0] = 0
        return getattr(self, method)();
    else:
        error[0] = 1

The above code, of course, makes a difference only in the case where we don't override the 'override_me' method.