250 lines
7.9 KiB
C++
250 lines
7.9 KiB
C++
// Copyright 2004-2007 Roman Yakovenko.
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// Distributed under the Boost Software License, Version 1.0. (See
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// accompanying file LICENSE_1_0.txt or copy at
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// http://www.boost.org/LICENSE_1_0.txt)
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#ifndef TUPLES_HPP_16_JAN_2007
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#define TUPLES_HPP_16_JAN_2007
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#include "boost/python.hpp"
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#include "boost/tuple/tuple.hpp"
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#include "boost/python/object.hpp" //len function
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#include <boost/mpl/int.hpp>
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#include <boost/mpl/next.hpp>
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/**
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* Converts boost::tuples::tuple<...> to\from Python tuple
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*
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* The conversion is done "on-the-fly", you should only register the conversion
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* with your tuple classes.
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* For example:
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*
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* typedef boost::tuples::tuple< int, double, std::string > triplet;
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* boost::python::register_tuple< triplet >();
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*
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* That's all. After this point conversion to\from next types will be handled
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* by Boost.Python library:
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*
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* triplet
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* triplet& ( return type only )
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* const triplet
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* const triplet&
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*
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* Implementation description.
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* The conversion uses Boost.Python custom r-value converters. r-value converters
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* is very powerful and undocumented feature of the library. The only documentation
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* we have is http://boost.org/libs/python/doc/v2/faq.html#custom_string .
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*
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* The conversion consists from two parts: "to" and "from".
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*
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* "To" conversion
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* The "to" part is pretty easy and well documented ( http://docs.python.org/api/api.html ).
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* You should use Python C API to create an instance of a class and than you
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* initialize the relevant members of the instance.
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*
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* "From" conversion
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* Lets start from analyzing one of the use case Boost.Python library have to
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* deal with:
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*
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* void do_smth( const triplet& arg ){...}
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*
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* In order to allow calling this function from Python, the library should keep
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* parameter "arg" alive until the function returns. In other words, the library
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* should provide instances life-time management. The provided interface is not
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* ideal and could be improved. You have to implement two functions:
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*
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* void* convertible( PyObject* obj )
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* Checks whether the "obj" could be converted to an instance of the desired
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* class. If true, the function should return "obj", otherwise NULL
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*
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* void construct( PyObject* obj, converter::rvalue_from_python_stage1_data* data)
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* Constructs the instance of the desired class. This function will be called
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* if and only if "convertible" function returned true. The first argument
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* is Python object, which was passed as parameter to "convertible" function.
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* The second object is some kind of memory allocator for one object. Basically
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* it keeps a memory chunk. You will use the memory for object allocation.
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*
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* For some unclear for me reason, the library implements "C style Inheritance"
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* ( http://www.embedded.com/97/fe29712.htm ). So, in order to create new
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* object in the storage you have to cast to the "right" class:
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*
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* typedef converter::rvalue_from_python_storage<your_type_t> storage_t;
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* storage_t* the_storage = reinterpret_cast<storage_t*>( data );
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* void* memory_chunk = the_storage->storage.bytes;
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*
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* "memory_chunk" points to the memory, where the instance will be allocated.
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*
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* In order to create object at specific location, you should use placement new
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* operator:
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*
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* your_type_t* instance = new (memory_chunk) your_type_t();
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*
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* Now, you can continue to initialize the instance.
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*
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* instance->set_xyz = read xyz from obj
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*
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* If "your_type_t" constructor requires some arguments, "read" the Python
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* object before you call the constructor:
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*
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* xyz_type xyz = read xyz from obj
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* your_type_t* instance = new (memory_chunk) your_type_t(xyz);
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*
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* Hint:
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* In most case you don't really need\have to work with C Python API. Let
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* Boost.Python library to do some work for you!
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*
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**/
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namespace boost{ namespace python{
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namespace details{
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//Small helper function, introduced to allow short syntax for index incrementing
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template< int index>
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typename mpl::next< mpl::int_< index > >::type increment_index(){
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typedef typename mpl::next< mpl::int_< index > >::type next_index_type;
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return next_index_type();
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}
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}
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template< class TTuple >
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struct to_py_tuple{
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typedef mpl::int_< tuples::length< TTuple >::value > length_type;
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static PyObject* convert(const TTuple& c_tuple){
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list values;
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//add all c_tuple items to "values" list
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convert_impl( c_tuple, values, mpl::int_< 0 >(), length_type() );
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//create Python tuple from the list
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return incref( python::tuple( values ).ptr() );
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}
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private:
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template< int index, int length >
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static void
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convert_impl( const TTuple &c_tuple, list& values, mpl::int_< index >, mpl::int_< length > ) {
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values.append( c_tuple.template get< index >() );
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convert_impl( c_tuple, values, details::increment_index<index>(), length_type() );
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}
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template< int length >
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static void
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convert_impl( const TTuple&, list& values, mpl::int_< length >, mpl::int_< length >)
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{}
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};
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template< class TTuple>
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struct from_py_sequence{
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typedef TTuple tuple_type;
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typedef mpl::int_< tuples::length< TTuple >::value > length_type;
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static void*
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convertible(PyObject* py_obj){
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if( !PySequence_Check( py_obj ) ){
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return 0;
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}
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if( !PyObject_HasAttrString( py_obj, "__len__" ) ){
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return 0;
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}
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python::object py_sequence( handle<>( borrowed( py_obj ) ) );
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if( tuples::length< TTuple >::value != len( py_sequence ) ){
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return 0;
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}
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if( convertible_impl( py_sequence, mpl::int_< 0 >(), length_type() ) ){
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return py_obj;
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}
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else{
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return 0;
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}
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}
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static void
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construct( PyObject* py_obj, converter::rvalue_from_python_stage1_data* data){
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typedef converter::rvalue_from_python_storage<TTuple> storage_t;
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storage_t* the_storage = reinterpret_cast<storage_t*>( data );
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void* memory_chunk = the_storage->storage.bytes;
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TTuple* c_tuple = new (memory_chunk) TTuple();
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data->convertible = memory_chunk;
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python::object py_sequence( handle<>( borrowed( py_obj ) ) );
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construct_impl( py_sequence, *c_tuple, mpl::int_< 0 >(), length_type() );
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}
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static TTuple to_c_tuple( PyObject* py_obj ){
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if( !convertible( py_obj ) ){
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throw std::runtime_error( "Unable to construct boost::tuples::tuple from Python object!" );
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}
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TTuple c_tuple;
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python::object py_sequence( handle<>( borrowed( py_obj ) ) );
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construct_impl( py_sequence, c_tuple, mpl::int_< 0 >(), length_type() );
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return c_tuple;
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}
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private:
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template< int index, int length >
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static bool
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convertible_impl( const python::object& py_sequence, mpl::int_< index >, mpl::int_< length > ){
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typedef typename tuples::element< index, TTuple>::type element_type;
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object element = py_sequence[index];
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extract<element_type> type_checker( element );
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if( !type_checker.check() ){
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return false;
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}
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else{
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return convertible_impl( py_sequence, details::increment_index<index>(), length_type() );
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}
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}
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template< int length >
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static bool
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convertible_impl( const python::object& py_sequence, mpl::int_< length >, mpl::int_< length > ){
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return true;
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}
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template< int index, int length >
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static void
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construct_impl( const python::object& py_sequence, TTuple& c_tuple, mpl::int_< index >, mpl::int_< length > ){
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typedef typename tuples::element< index, TTuple>::type element_type;
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object element = py_sequence[index];
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c_tuple.template get< index >() = extract<element_type>( element );
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construct_impl( py_sequence, c_tuple, details::increment_index<index>(), length_type() );
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}
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template< int length >
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static void
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construct_impl( const python::object& py_sequence, TTuple& c_tuple, mpl::int_< length >, mpl::int_< length > )
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{}
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};
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template< class TTuple>
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void register_tuple(){
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to_python_converter< TTuple, to_py_tuple<TTuple> >();
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converter::registry::push_back( &from_py_sequence<TTuple>::convertible
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, &from_py_sequence<TTuple>::construct
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, type_id<TTuple>() );
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};
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} } //boost::python
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#endif//TUPLES_HPP_16_JAN_2007
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