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/**
\file pymodel.hpp
\brief model wrapper of python functions
\author Junhua Gu
*/
#ifndef PYMODEL
#define PYMODEL
#include <boost/python.hpp>
#include <core/fitter.hpp>
#include <core/opt_traits.hpp>
namespace opt_utilities
{
template <typename Ty,typename Tx,typename Tp>
class pymodel
:public model<Ty,Tx,Tp,std::string>
{
private:
boost::python::object pyfunc;
public:
pymodel()
{
if(!Py_IsInitialized())
{
Py_Initialize();
}
}
pymodel(const pymodel& rhs)
:pyfunc(rhs.pyfunc)
{
for(int i=0;i<rhs.get_num_params();++i)
{
this->push_param_info(rhs.get_param_info(i));
}
}
pymodel& operator=(const pymodel& rhs)
{
if(this==&rhs)
{
return *this;
}
pyfunc=rhs.pyfunc;
for(int i=0;i<rhs.get_num_params();++i)
{
this->push_param_info(rhs.get_param_info(i));
}
return *this;
}
~pymodel()
{}
public:
void attach(const std::string module_name,
const std::string arg_name,
const std::string arg_value,
const std::string func_name)
{
this->clear_param_info();
boost::python::object mod(boost::python::import(module_name.c_str()));
pyfunc=mod.attr(func_name.c_str());
boost::python::list args_names(mod.attr(arg_name.c_str()));
boost::python::list args_values(mod.attr(arg_value.c_str()));
int nparams=boost::python::len(args_names);
for(size_t i=0;i!=nparams;++i)
{
boost::python::object pname_obj=args_names[i];
std::string pname=boost::python::extract<std::string>(pname_obj);
typename element_type_trait<Tp>::element_type pvalue=
boost::python::extract<typename element_type_trait<Tp>::element_type>(args_values[i]);
push_param_info(param_info<Tp,std::string>(pname,pvalue));
}
}
private:
model<Ty,Tx,Tp,std::string>* do_clone()const
{
return new pymodel(*this);
}
void do_destroy()
{
delete this;
}
Ty do_eval(const Tx& x,const Tp& p)
{
boost::python::list args;
for(size_t i=0;i<get_size(p);++i)
{
args.append(get_element(p,i));
}
return boost::python::extract<Ty>(pyfunc(x,args));
}
};
}
#endif
//EOF
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