ref: 323d3309bfbd451da4cadb31fddfe9f63979876d
dir: /python/ext/py-fft.c/
#include "aubio-types.h"
static char Py_fft_doc[] = "fft object";
typedef struct
{
PyObject_HEAD
aubio_fft_t * o;
uint_t win_s;
// do / rdo input vectors
fvec_t vecin;
cvec_t cvecin;
// do / rdo output results
PyObject *doout;
PyObject *rdoout;
} Py_fft;
static PyObject *
Py_fft_new (PyTypeObject * type, PyObject * args, PyObject * kwds)
{
int win_s = 0;
Py_fft *self;
static char *kwlist[] = { "win_s", NULL };
if (!PyArg_ParseTupleAndKeywords (args, kwds, "|I", kwlist,
&win_s)) {
return NULL;
}
self = (Py_fft *) type->tp_alloc (type, 0);
if (self == NULL) {
return NULL;
}
self->win_s = Py_default_vector_length;
if (win_s > 0) {
self->win_s = win_s;
} else if (win_s < 0) {
PyErr_SetString (PyExc_ValueError,
"can not use negative window size");
return NULL;
}
return (PyObject *) self;
}
static int
Py_fft_init (Py_fft * self, PyObject * args, PyObject * kwds)
{
self->o = new_aubio_fft (self->win_s);
if (self->o == NULL) {
char_t errstr[30];
sprintf(errstr, "error creating fft with win_s=%d", self->win_s);
PyErr_SetString (PyExc_Exception, errstr);
return -1;
}
self->doout = new_py_cvec(self->win_s);
self->rdoout = new_py_fvec(self->win_s);
return 0;
}
static void
Py_fft_del (Py_fft *self, PyObject *unused)
{
Py_XDECREF(self->doout);
Py_XDECREF(self->rdoout);
del_aubio_fft(self->o);
Py_TYPE(self)->tp_free((PyObject *) self);
}
static PyObject *
Py_fft_do(Py_fft * self, PyObject * args)
{
PyObject *input;
if (!PyArg_ParseTuple (args, "O", &input)) {
return NULL;
}
if (!PyAubio_ArrayToCFvec(input, &(self->vecin))) {
return NULL;
}
if (self->vecin.length != self->win_s) {
PyErr_Format(PyExc_ValueError,
"input array has length %d, but fft has size %d",
self->vecin.length, self->win_s);
return NULL;
}
cvec_t c_out;
Py_INCREF(self->doout);
if (!PyAubio_PyCvecToCCvec(self->doout, &c_out)) {
return NULL;
}
// compute the function
aubio_fft_do (self->o, &(self->vecin), &c_out);
return self->doout;
}
static PyMemberDef Py_fft_members[] = {
{"win_s", T_INT, offsetof (Py_fft, win_s), READONLY,
"size of the window"},
{NULL}
};
static PyObject *
Py_fft_rdo(Py_fft * self, PyObject * args)
{
PyObject *input;
if (!PyArg_ParseTuple (args, "O", &input)) {
return NULL;
}
if (!PyAubio_PyCvecToCCvec (input, &(self->cvecin)) ) {
return NULL;
}
if (self->cvecin.length != self->win_s / 2 + 1) {
PyErr_Format(PyExc_ValueError,
"input array has length %d, but fft input has size %d",
self->vecin.length, self->win_s / 2 + 1);
return NULL;
}
fvec_t out;
Py_INCREF(self->rdoout);
if (!PyAubio_ArrayToCFvec(self->rdoout, &out) ) {
return NULL;
}
// compute the function
aubio_fft_rdo (self->o, &(self->cvecin), &out);
return self->rdoout;
}
static PyMethodDef Py_fft_methods[] = {
{"rdo", (PyCFunction) Py_fft_rdo, METH_VARARGS,
"synthesis of spectral grain"},
{NULL}
};
PyTypeObject Py_fftType = {
PyVarObject_HEAD_INIT (NULL, 0)
"aubio.fft",
sizeof (Py_fft),
0,
(destructor) Py_fft_del,
0,
0,
0,
0,
0,
0,
0,
0,
0,
(ternaryfunc)Py_fft_do,
0,
0,
0,
0,
Py_TPFLAGS_DEFAULT,
Py_fft_doc,
0,
0,
0,
0,
0,
0,
Py_fft_methods,
Py_fft_members,
0,
0,
0,
0,
0,
0,
(initproc) Py_fft_init,
0,
Py_fft_new,
};