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Function documentation

boost/python/function_doc_signature.hpp
boost/python/pytype_function.hpp

Boost.Python supports docstrings with automatic appending of Pythonic and C++ signatures. This feature is implemented by class function_doc_signature_generator. The class uses all of the overloads, supplied arg names and default values, as well as the user-defined docstrings, to generate documentation for a given function.

The class has only one public function which returns a list of strings documenting the overloads of a function.

namespace boost { namespace python { namespace objects {

    class function_doc_signature_generator
    {
      public:
          static list function_doc_signatures(function const *f);
    };

}}}
#include <boost/python/module.hpp>
#include <boost/python/def.hpp>
#include <boost/python/args.hpp>
#include <boost/python/tuple.hpp>
#include <boost/python/class.hpp>
#include <boost/python/overloads.hpp>
#include <boost/python/raw_function.hpp>

using namespace boost::python;

tuple f(int x = 1, double y = 4.25, char const* z = "wow")
{
    return make_tuple(x, y, z);
}

BOOST_PYTHON_FUNCTION_OVERLOADS(f_overloads, f, 0, 3)


struct X
{
    tuple f(int x = 1, double y = 4.25, char const* z = "wow")
    {
        return make_tuple(x, y, z);
    }
};

BOOST_PYTHON_MEMBER_FUNCTION_OVERLOADS(X_f_overloads, X::f, 0, 3)

tuple raw_func(tuple args, dict kw)
{
    return make_tuple(args, kw);
}

BOOST_PYTHON_MODULE(args_ext)
{
    def("f", f, (arg("x")=1, arg("y")=4.25, arg("z")="wow")
        , "This is f's docstring"
        );

    def("raw", raw_function(raw_func));

    def("f1", f, f_overloads("f1's docstring", args("x", "y", "z")));


    class_<X>("X", "This is X's docstring", init<>(args("self")))
        .def("f", &X::f
             , "This is X.f's docstring"
             , args("self","x", "y", "z"))

        ;

}

Python code:

>>> import args_ext
>>> help(args_ext)
Help on module args_ext:

NAME
    args_ext

FILE
    args_ext.pyd

CLASSES
    Boost.Python.instance(__builtin__.object)
        X

    class X(Boost.Python.instance)
     |  This is X's docstring
     |
     |  Method resolution order:
     |      X
     |      Boost.Python.instance
     |      __builtin__.object
     |
     |  Methods defined here:
     |
     |  __init__(...)
     |      __init__( (object)self) -> None :
     |       C++ signature:
     |           void __init__(struct _object *)
     |
     |  f(...)
     |      f( (X)self, (int)x, (float)y, (str)z) -> tuple : This is X.f's docstring
     |      C++ signature:
     |          class boost::python::tuple f(struct X {lvalue},int,double,char const *)
     |
     |    .................
     |
FUNCTIONS
    f(...)
        f([ (int)x=1 [, (float)y=4.25 [, (str)z='wow']]]) -> tuple : This is f's docstring
        C++ signature:
            class boost::python::tuple f([ int=1 [,double=4.25 [,char const *='wow']]])

    f1(...)
        f1([ (int)x [, (float)y [, (str)z]]]) -> tuple : f1's docstring
        C++ signature:
            class boost::python::tuple f1([ int [,double [,char const *]]])

    raw(...)
        object raw(tuple args, dict kwds) :
        C++ signature:
            object raw(tuple args, dict kwds)

To support Pythonic signatures the converters should supply a get_pytype function returning a pointer to the associated PyTypeObject. See for example ResultConverter or to_python_converter. The classes in this header file are meant to be used when implmenting get_pytype. There are also _direct versions of the templates of class T which should be used with undecorated type parameter, expected to be in the conversion registry when the module loads.

This template generates a static get_pytype member returning the template parameter.

namespace boost { namespace python { namespace converter{

    template < PyTypeObject const *pytype >
    class wrap_pytype
    {
      public:
          static PyTypeObject const *get_pytype(){return pytype; }
    };

}}}

This template should be used with template parameters which are (possibly decorated) types exported to python using class_. The generated a static get_pytype member returns the corresponding python type.

namespace boost { namespace python { namespace converter{

    template < class T >
    class registered_pytype
    {
      public:
          static PyTypeObject const *get_pytype();
    };

}}}

This template generates a static get_pytype member which inspects the registered from_python converters for the type T and returns a matching python type.

namespace boost { namespace python { namespace converter{

    template < class T >
    class expected_from_python_type
    {
      public:
          static PyTypeObject const *get_pytype();
    };

}}}

This template generates a static get_pytype member returning the python type to which T can be converted.

namespace boost { namespace python { namespace converter{

    template < class T >
    class to_python_target_type
    {
      public:
          static PyTypeObject const *get_pytype();
    };

}}}

This example presumes that someone has implemented the standard noddy example module from the Python documentation, and placed the corresponding declarations in "noddy.h". Because noddy_NoddyObject is the ultimate trivial extension type, the example is a bit contrived: it wraps a function for which all information is contained in the type of its return value.

C++ module definition:

#include <boost/python/reference.hpp>
#include <boost/python/module.hpp>
#include "noddy.h"

struct tag {};
tag make_tag() { return tag(); }

using namespace boost::python;

struct tag_to_noddy
#if defined BOOST_PYTHON_SUPPORTS_PY_SIGNATURES //unnecessary overhead if py signatures are not supported
: wrap_pytype<&noddy_NoddyType> //inherits get_pytype from wrap_pytype
#endif
{
    static PyObject* convert(tag const& x)
    {
        return PyObject_New(noddy_NoddyObject, &noddy_NoddyType);
    }
};

BOOST_PYTHON_MODULE(to_python_converter)
{
    def("make_tag", make_tag);
    to_python_converter<tag, tag_to_noddy
#if defined BOOST_PYTHON_SUPPORTS_PY_SIGNATURES //invalid if py signatures are not supported
          , true
#endif
          >(); //"true" because tag_to_noddy has member get_pytype
}

The following example registers to and from python converters using the templates expected_from_python_type and to_pyhton_target_type.

#include <boost/python/module.hpp>
#include <boost/python/def.hpp>
#include <boost/python/extract.hpp>
#include <boost/python/to_python_converter.hpp>
#include <boost/python/class.hpp>

using namespace boost::python;

struct A
{
};

struct B
{
  A a;
  B(const A& a_):a(a_){}
};

// Converter from A to python int
struct BToPython
#if defined BOOST_PYTHON_SUPPORTS_PY_SIGNATURES //unnecessary overhead if py signatures are not supported
   : converter::to_python_target_type<A>  //inherits get_pytype
#endif
{
  static PyObject* convert(const B& b)
  {
    return incref(object(b.a).ptr());
  }
};

// Conversion from python int to A
struct BFromPython
{
  BFromPython()
  {
    boost::python::converter::registry::push_back
        ( &convertible
        , &construct
        , type_id< B >()
#if defined BOOST_PYTHON_SUPPORTS_PY_SIGNATURES //invalid if py signatures are not supported
        , &converter::expected_from_python_type<A>::get_pytype//convertible to A can be converted to B
#endif
        );
  }

  static void* convertible(PyObject* obj_ptr)
  {
      extract<const A&> ex(obj_ptr);
      if (!ex.check()) return 0;
      return obj_ptr;
  }

  static void construct(
      PyObject* obj_ptr,
      converter::rvalue_from_python_stage1_data* data)
  {
    void* storage = (
        (converter::rvalue_from_python_storage< B >*)data)-> storage.bytes;

    extract<const A&> ex(obj_ptr);
    new (storage) B(ex());
    data->convertible = storage;
  }
};


B func(const B& b) { return b ; }

BOOST_PYTHON_MODULE(pytype_function_ext)
{
  to_python_converter< B , BToPython
#if defined BOOST_PYTHON_SUPPORTS_PY_SIGNATURES //invalid if py signatures are not supported
             ,true
#endif
             >(); //has get_pytype
  BFromPython();

  class_<A>("A") ;

  def("func", &func);

}



>>> from pytype_function_ext import *
>>> print func.__doc__
func( (A)arg1) -> A :
    C++ signature:
         struct B func(struct B)

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