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// -*- C++ -*-
//////////////////////////////////////////////////////////////////////////////
// Converting NLopt/C++ exceptions to Python exceptions
%{
#define ExceptionSubclass(EXCNAME, EXCDOC) \
static PyTypeObject MyExc_ ## EXCNAME = { \
PyVarObject_HEAD_INIT(NULL, 0) \
"nlopt." # EXCNAME, \
sizeof(PyBaseExceptionObject), \
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, \
Py_TPFLAGS_DEFAULT, \
PyDoc_STR(EXCDOC) \
}; \
static void init_ ## EXCNAME(PyObject *m) { \
MyExc_ ## EXCNAME .tp_base = (PyTypeObject *) PyExc_Exception; \
PyType_Ready(&MyExc_ ## EXCNAME); \
Py_INCREF(&MyExc_ ## EXCNAME); \
PyModule_AddObject(m, # EXCNAME, (PyObject *) &MyExc_ ## EXCNAME); \
}
ExceptionSubclass(ForcedStop,
"Python version of nlopt::forced_stop exception.")
ExceptionSubclass(RoundoffLimited,
"Python version of nlopt::roundoff_limited exception.")
%}
%init %{
init_ForcedStop(m);
init_RoundoffLimited(m);
%}
%pythoncode %{
ForcedStop = _nlopt.ForcedStop
RoundoffLimited = _nlopt.RoundoffLimited
__version__ = str(_nlopt.version_major())+'.'+str(_nlopt.version_minor())+'.'+str(_nlopt.version_bugfix())
%}
%typemap(throws) std::bad_alloc %{
PyErr_SetString(PyExc_MemoryError, ($1).what());
SWIG_fail;
%}
%typemap(throws) nlopt::forced_stop %{
if (!PyErr_Occurred())
PyErr_SetString((PyObject*)&MyExc_ForcedStop, "NLopt forced stop");
SWIG_fail;
%}
%typemap(throws) nlopt::roundoff_limited %{
PyErr_SetString((PyObject*)&MyExc_RoundoffLimited, "NLopt roundoff-limited");
SWIG_fail;
%}
//////////////////////////////////////////////////////////////////////////////
%{
#define SWIG_FILE_WITH_INIT
%}
%include "numpy.i"
%init %{
import_array();
%}
%numpy_typemaps(double, NPY_DOUBLE, unsigned)
//////////////////////////////////////////////////////////////////////////////
// numpy.i does not include maps for std::vector<double>, so I add them here,
// taking advantage of the conversion functions provided by numpy.i
// Typemap for input arguments of type const std::vector<double> &
%typecheck(SWIG_TYPECHECK_POINTER, fragment="NumPy_Macros")
const std::vector<double> &
{
$1 = is_array($input) || PySequence_Check($input);
}
%typemap(in, fragment="NumPy_Fragments")
const std::vector<double> &
(PyArrayObject* array=NULL, int is_new_object=0, std::vector<double> arrayv)
{
npy_intp size[1] = { -1 };
array = obj_to_array_allow_conversion($input, NPY_DOUBLE, &is_new_object);
if (!array || !require_dimensions(array, 1) ||
!require_size(array, size, 1)) SWIG_fail;
arrayv = std::vector<double>(array_size(array,0));
$1 = &arrayv;
{
double *arr_data = (double *) array_data(array);
int arr_i, arr_s = array_stride(array,0) / sizeof(double);
int arr_sz = array_size(array,0);
for (arr_i = 0; arr_i < arr_sz; ++arr_i)
arrayv[arr_i] = arr_data[arr_i * arr_s];
}
}
%typemap(freearg)
const std::vector<double> &
{
if (is_new_object$argnum && array$argnum)
{ Py_DECREF(array$argnum); }
}
// Typemap for return values of type std::vector<double>
%typemap(out, fragment="NumPy_Fragments") std::vector<double>
{
npy_intp sz = $1.size();
$result = PyArray_SimpleNew(1, &sz, NPY_DOUBLE);
std::memcpy(array_data($result), $1.empty() ? NULL : &$1[0],
sizeof(double) * sz);
}
//////////////////////////////////////////////////////////////////////////////
// Wrapper for objective function callbacks
%{
static void *free_pyfunc(void *p) { Py_DECREF((PyObject*) p); return p; }
static void *dup_pyfunc(void *p) { Py_INCREF((PyObject*) p); return p; }
#if NPY_API_VERSION < 0x00000007
# define NPY_ARRAY_C_CONTIGUOUS NPY_C_CONTIGUOUS
# define NPY_ARRAY_ALIGNED NPY_ALIGNED
#endif
static double func_python(unsigned n, const double *x, double *grad, void *f)
{
npy_intp sz = npy_intp(n), sz0 = 0, stride1 = sizeof(double);
PyObject *xpy = PyArray_New(&PyArray_Type, 1, &sz, NPY_DOUBLE, &stride1,
const_cast<double*>(x), // not NPY_WRITEABLE
0, NPY_ARRAY_C_CONTIGUOUS | NPY_ARRAY_ALIGNED, NULL);
PyObject *gradpy = grad
? PyArray_SimpleNewFromData(1, &sz, NPY_DOUBLE, grad)
: PyArray_SimpleNew(1, &sz0, NPY_DOUBLE);
PyObject *arglist = Py_BuildValue("OO", xpy, gradpy);
PyObject *result = PyEval_CallObject((PyObject *) f, arglist);
Py_DECREF(arglist);
Py_DECREF(gradpy);
Py_DECREF(xpy);
double val = HUGE_VAL;
if (PyErr_Occurred()) {
Py_XDECREF(result);
throw nlopt::forced_stop(); // just stop, don't call PyErr_Clear()
}
else if (result && PyFloat_Check(result)) {
val = PyFloat_AsDouble(result);
Py_DECREF(result);
}
else {
Py_XDECREF(result);
throw std::invalid_argument("invalid result passed to nlopt");
}
return val;
}
static void mfunc_python(unsigned m, double *result,
unsigned n, const double *x, double *grad, void *f)
{
npy_intp nsz = npy_intp(n), msz = npy_intp(m);
npy_intp mnsz[2] = {msz, nsz};
npy_intp sz0 = 0, stride1 = sizeof(double);
PyObject *xpy = PyArray_New(&PyArray_Type, 1, &nsz, NPY_DOUBLE, &stride1,
const_cast<double*>(x), // not NPY_WRITEABLE
0, NPY_ARRAY_C_CONTIGUOUS | NPY_ARRAY_ALIGNED, NULL);
PyObject *rpy = PyArray_SimpleNewFromData(1, &msz, NPY_DOUBLE, result);
PyObject *gradpy = grad
? PyArray_SimpleNewFromData(2, mnsz, NPY_DOUBLE, grad)
: PyArray_SimpleNew(1, &sz0, NPY_DOUBLE);
PyObject *arglist = Py_BuildValue("OOO", rpy, xpy, gradpy);
PyObject *res = PyEval_CallObject((PyObject *) f, arglist);
Py_XDECREF(res);
Py_DECREF(arglist);
Py_DECREF(gradpy);
Py_DECREF(rpy);
Py_DECREF(xpy);
if (PyErr_Occurred()) {
throw nlopt::forced_stop(); // just stop, don't call PyErr_Clear()
}
}
%}
%typemap(in)(nlopt::func f, void *f_data, nlopt_munge md, nlopt_munge mc) {
$1 = func_python;
$2 = dup_pyfunc((void*) $input);
$3 = free_pyfunc;
$4 = dup_pyfunc;
}
%typecheck(SWIG_TYPECHECK_POINTER)(nlopt::func f, void *f_data, nlopt_munge md, nlopt_munge mc) {
$1 = PyCallable_Check($input);
}
%typemap(in)(nlopt::mfunc mf, void *f_data, nlopt_munge md, nlopt_munge mc) {
$1 = mfunc_python;
$2 = dup_pyfunc((void*) $input);
$3 = free_pyfunc;
$4 = dup_pyfunc;
}
%typecheck(SWIG_TYPECHECK_POINTER)(nlopt::mfunc mf, void *f_data, nlopt_munge md, nlopt_munge mc) {
$1 = PyCallable_Check($input);
}
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