I've got a C++ class, with a member function that can take a small-to-large number of parameters. Lets name those parameters, a-f. All parameters have default values. As a part of the python project I am working on, I want to expose this class to python. Currently, the member function looks something like this:
class myClass {
public:
// Constructors - set a-f to default values.
void SetParameters(std::map<std::string, double> &);
private:
double a, b, c, d, e, f;
}
void myClass::SetParameters(std::map<std::string, double> const& params) {
// Code to iterate over the map, and set any found key/value pairs to their
// corresponding variable. i.e.- "a" --> 2.0, would set myClass::a to 2.0
}
Ideally, in Python, I would like to accomplish this using a dict:
>>> A = myModule.myClass();
>>> A.SetParameters({'a': 2.2, 'd': 4.3, b: '9.3'})
In this way, the user could enter the values in any order, and enter any number of them to be over-ridden. Any thoughts on how this could be accomplished in boost::python? It seems to me that I can do this via changing the map input to a boost::python object, and using the extract functions. However, this would require me to change the interface of my library (I'd prefer to keep the std::map interface, and have some intermediary/auto conversion technique for the python version). Thoughts?
I think there's a couple of ways that are easier to accomplish than writing your own converter. You can use boost::python's map_indexing_suite to do the conversion for you, or you can use keyword arguments in python. I personally prefer keyword arguments, as this is the more "Pythonic" way to do this.
So this is your class (I added a typedef for the map):
typedef std::map<std::string, double> MyMap;
class myClass {
public:
// Constructors - set a-f to default values.
void SetParameters(MyMap &);
private:
double a, b, c, d, e, f;
};
Example using map_indexing_suite:
#include <boost/python/suite/indexing/map_indexing_suite.hpp>
using boost::python;
BOOST_PYTHON_MODULE(mymodule)
{
class_<std::map<std::string, double> >("MyMap")
.def(map_indexing_suite<std::map<std::wstring, double> >() );
class_<myClass>("myClass")
.def("SetParameters", &myClass::SetParameters);
}
Example using keyword arguments. This requires using a raw_function wrapper:
using namespace boost::python;
object SetParameters(tuple args, dict kwargs)
{
myClass& self = extract<myClass&>(args[0]);
list keys = kwargs.keys();
MyMap outMap;
for(int i = 0; i < len(keys); ++i) {
object curArg = kwargs[keys[i]];
if(curArg) {
outMap[extract<std::string>(keys[i])] = extract<double>(kwargs[keys[i]]);
}
}
self.SetParameters(outMap);
return object();
}
BOOST_PYTHON_MODULE(mymodule)
{
class_<myClass>("myClass")
.def("SetParameters", raw_function(&SetParameters, 1));
}
this allows you to write stuff like this in Python:
A.SetParameters(a = 2.2, d = 4.3, b = 9.3)
This blog post has a pretty clear description of how to write these converters. The basic pattern is to define a class that has the form:
struct SomeType_from_PyObject
{
SomeType_from_PyObject();
static void* convertible(PyObject* obj_ptr);
static void construct(PyObject* obj_ptr,
converter::rvalue_from_python_stage1_data* data);
};
Where the constructor is responsible for adding this converter to Boost.Python's registry:
SomeType_from_PyObject::SomeType_from_PyObject()
{
converter::registry::push_back(&convertible,
&construct,
type_id<SomeType>());
}
The function convertible
tells Boost whether or not this converter can convert the specified Python object:
void* SomeType_from_PyObject::convertible(PyObject* obj_ptr)
{
if (PyMapping_Check(obj_ptr)) {
return obj_ptr;
} else {
return NULL;
}
}
The construct
function actually creates an object of the conversion type:
void SomeType_from_PyObject::construct(PyObject* obj_ptr,
converter::rvalue_from_python_stage1_data* data)
{
typedef converter::rvalue_from_python_storage<SomeType> storage_t;
storage_t* the_storage = reinterpret_cast<storage_t*>(data);
void* memory_chunk = the_storage->storage.bytes;
object obj(handle<>(borrowed(obj_ptr)));
SomeType* output = new (memory_chunk) SomeType();
// Use the contents of obj to populate output, e.g. using extract<>
data->convertible = memory_chunk;
}
and then in your inside your BOOST_PYTHON_MODULE, include the line
SomeType_from_PyObject();
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