Exposing C++ interface in boost python

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没有蜡笔的小新 2020-12-31 14:41

Sample code to illustrate:

struct Base
{
  virtual int foo() = 0;
};

struct Derived : public Base
{
  virtual int foo()
  {
    return 42;
  }
};

Base* get         


        
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  • 2020-12-31 15:16

    Abstract C++ classes cannot be exposed in this manner to Boost.Python. The Boost.Python tutorial gives examples as to how to expose pure virtual functions. In short, when decorating methods with boost::python::pure_virtual, a wrapper type needs to be created to allow C++ to polymorphic resolve the virtual function, and the virtual function implementation will delegate resolving the function polymorphically in the Python object's hierarchy.

    struct BaseWrap : Base, boost::python::wrapper<Base>
    {
      int foo()
      {
        return this->get_override("foo")();
      }
    };
    
    ...
    
    boost::python::class_<BaseWrap>("Base", ...)
      .def("foo", boost::python::pure_virtual(&Base::foo))
      ;
    

    For details, when a type is exposed via boost::python::class_, HeldType defaults to the type being exposed, and the HeldType is constructed within a Python object. The class_ documentation states:

    Template Parameter:

    • T: The class being wrapped
    • HeldType: Specifies the type that is actually embedded in a Python object wrapping a T instance [...]. Defaults to T.

    Hence, the boost::python::class_<Base> will fail, because T = Base and HeldType = Base, and Boost.Python will try to instantiate an object of HeldType into a Python object that represents an instance of Base. This instantiation will fail as Base is an abstract class.


    Here is a complete example showing the use of a BaseWrap class.

    #include <boost/python.hpp>
    
    struct Base
    {
      virtual int foo() = 0;
      virtual ~Base() {}
    };
    
    struct Derived : public Base
    {
      virtual int foo()
      {
        return 42;
      }
    };
    
    Base* get_base()
    {
      return new Derived;
    }
    
    namespace python = boost::python;
    
    /// @brief Wrapper that will provide a non-abstract type for Base.
    struct BaseWrap : Base, python::wrapper<Base>
    {
      BaseWrap() {}
    
      BaseWrap(const Base& rhs)
        : Base(rhs)
      {}
    
      int foo()
      {
        return this->get_override("foo")();
      }
    };
    
    BOOST_PYTHON_MODULE(example)
    {
      python::class_<BaseWrap>("Base")
        .def("foo", python::pure_virtual(&Base::foo));
        ;
    
      python::def("get_base", &get_base,
                  python::return_value_policy<python::manage_new_object>());
    }
    

    and its usage:

    >>> import example
    >>> class Spam(example.Base):
    ...     pass
    ... 
    >>> Spam().foo()
    Traceback (most recent call last):
      File "<stdin>", line 1, in <module>
    RuntimeError: Pure virtual function called
    >>> class Egg(example.Base):
    ...     def foo(self):
    ...         return 100
    ... 
    >>> e = Egg()
    >>> e.foo()
    100
    >>> d = example.get_base()
    >>> d.foo()
    42
    

    It is possible to expose an abstract class in Boost.Python by exposing it with no default initializer (boost::python::no_init) and non-copyable (boost::noncopyable). The lack of an initializer prevents Python types from deriving from it effectively preventing overriding. Additionally, the implementation detail that Base::foo() is implemented within C++ by Derived is inconsequential. If Python should not know about a foo() method at all, then omit exposing it via def().

    #include <boost/python.hpp>
    
    struct Base
    {
      virtual int foo() = 0;
      virtual ~Base() {}
    };
    
    struct Derived
      : public Base
    {
      virtual int foo()
      {
        return 42;
      }
    };
    
    struct OtherDerived
      : public Base
    {
      virtual int foo()
      {
        return 24;
      }
    };
    
    Base* get_base()
    {
      return new Derived;
    }
    
    Base* get_other_base()
    {
      return new OtherDerived;
    }
    
    BOOST_PYTHON_MODULE(example)
    {
      namespace python = boost::python;
      python::class_<Base, boost::noncopyable>("Base", python::no_init)
        ;
    
      python::class_<Derived, python::bases<Base> >("Derived", python::no_init)
        .def("foo", &Base::foo)
        ;
    
      python::class_<OtherDerived, python::bases<Base> >(
          "OtherDerived", python::no_init)
        ;
    
      python::def("get_base", &get_base,
                  python::return_value_policy<python::manage_new_object>());
    
      python::def("get_other_base", &get_other_base,
                  python::return_value_policy<python::manage_new_object>());
    }
    

    Interactive usage:

    >>> import example
    >>> b = example.get_base()
    >>> b.foo()
    42
    >>> b = example.get_other_base()
    >>> b.foo()
    Traceback (most recent call last):
      File "<stdin>", line 1, in <module>
    AttributeError: 'OtherDerived' object has no attribute 'foo'
    
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  • 2020-12-31 15:20

    Abstract classes actually CAN be exposed to Boost.Python without wrappers. The trick is defining your class with boost::noncopyable and avoiding pure_virtual method wrappers.

    Here is the corrected code (tested with Boost.Python 1.47.0 and Python 2.7.6):

    #include <boost/python/class.hpp>
    #include <boost/python/def.hpp>
    #include <boost/python/module.hpp>
    
    struct Base
    {
      virtual int foo() = 0;
    };
    
    struct Derived : public Base
    {
      virtual int foo()
      {
        return 42;
      }
    };
    
    Base* get_base()
    {
      return new Derived;
    }
    
    BOOST_PYTHON_MODULE(libTestMod)
    {
        namespace py = boost::python;
    
        py::class_<Base, boost::noncopyable>("Base", py::no_init)
            .def("foo", &Base::foo);
    
        py::def("get_base", get_base,
            py::return_value_policy<py::reference_existing_object>()); //ignore mem leak
    }
    

    Testing:

    $ python
    Python 2.7.6 (default, Mar 31 2014, 16:04:58) 
    [GCC 4.7.3] on linux2
    Type "help", "copyright", "credits" or "license" for more information.
    >>> import libTestMod
    >>> base = libTestMod.get_base()
    >>> print base.foo()
    42
    
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