|
|
#include <Python.h>
|
|
|
#include <numpy/arrayobject.h>
|
|
|
#include <math.h>
|
|
|
|
|
|
static PyObject *hildebrand_sekhon(PyObject *self, PyObject *args);
|
|
|
|
|
|
static PyMethodDef extensionsMethods[] = {
|
|
|
{ "hildebrand_sekhon", (PyCFunction)hildebrand_sekhon, METH_VARARGS, "get noise with" },
|
|
|
{ NULL, NULL, 0, NULL }
|
|
|
};
|
|
|
|
|
|
PyMODINIT_FUNC initcSchain() {
|
|
|
Py_InitModule("cSchain", extensionsMethods);
|
|
|
import_array();
|
|
|
}
|
|
|
|
|
|
static PyObject *hildebrand_sekhon(PyObject *self, PyObject *args) {
|
|
|
/* Do your stuff here. */
|
|
|
double navg;
|
|
|
PyObject *data_obj, *data_array;
|
|
|
|
|
|
if (!PyArg_ParseTuple(args, "Od", &data_obj, &navg)) return NULL;
|
|
|
data_array = PyArray_FROM_OTF(data_obj, NPY_FLOAT64, NPY_IN_ARRAY);
|
|
|
if (data_array == NULL) {
|
|
|
Py_XDECREF(data_array);
|
|
|
Py_XDECREF(data_obj);
|
|
|
return NULL;
|
|
|
}
|
|
|
double *sortdata = (double*)PyArray_DATA(data_array);
|
|
|
int lenOfData = (int)PyArray_SIZE(data_array) ;
|
|
|
double nums_min = lenOfData*0.2;
|
|
|
if (nums_min <= 5) nums_min = 5;
|
|
|
double sump = 0;
|
|
|
double sumq = 0;
|
|
|
int j = 0;
|
|
|
int cont = 1;
|
|
|
double rtest = 0;
|
|
|
while ((cont == 1) && (j < lenOfData)) {
|
|
|
sump = sump + sortdata[j];
|
|
|
sumq = sumq + pow(sortdata[j], 2);
|
|
|
if (j > nums_min) {
|
|
|
rtest = (double)j/(j-1) + 1/navg;
|
|
|
if ((sumq*j) > (rtest*pow(sump, 2))) {
|
|
|
j = j - 1;
|
|
|
sump = sump - sortdata[j];
|
|
|
sumq = sumq - pow(sortdata[j],2);
|
|
|
cont = 0;
|
|
|
}
|
|
|
}
|
|
|
j = j + 1;
|
|
|
}
|
|
|
|
|
|
double lnoise = sump / j;
|
|
|
return Py_BuildValue("d", lnoise);
|
|
|
}
|
|
|
|
