Add logs

fftma_module/gen/lib_src/Py_getvalues.c

@@ -1,5 +1,6 @@
 #include "Py_py-api.h"
 #include "genlib.h"
+#include "log.h"
 #include "geostat.h"
 #include "pressure.h"
 #include "simpio.h"
@@ -40,8 +41,8 @@
 #endif
 #endif
 
-int Py_getvalues(PyObject* args, long* seed, struct grid_mod* grid, struct vario_mod* variogram, struct statistic_mod* stat)
-{
+int Py_getvalues(PyObject* args, long* seed, struct grid_mod* grid, struct vario_mod* variogram, struct statistic_mod* stat) {
+    log_info("RESULT = in progress");
     int i, varioNargs = 12, j = 0;
     PyObject* listvario;
     PyObject* vgr;
@@ -55,6 +56,7 @@ int Py_getvalues(PyObject* args, long* seed, struct grid_mod* grid, struct vario
     stat->variance = (double*)malloc(stat->nblock_var * sizeof(double));
     if (stat->variance == NULL) {
         free(stat->mean);
+        log_error("RESULT = failed");
         return 0;
     }
 
@@ -73,6 +75,7 @@ int Py_getvalues(PyObject* args, long* seed, struct grid_mod* grid, struct vario
             &(stat->type))) {
         free(stat->mean);
         free(stat->variance);
+        log_error("RESULT = failed");
         return 0;
     }
 
@@ -82,6 +85,7 @@ int Py_getvalues(PyObject* args, long* seed, struct grid_mod* grid, struct vario
     if (variogram->var == NULL) {
         free(stat->mean);
         free(stat->variance);
+        log_error("RESULT = failed");
         return 0;
     }
     variogram->vario = (int*)malloc(variogram->Nvario * sizeof(int));
@@ -89,6 +93,7 @@ int Py_getvalues(PyObject* args, long* seed, struct grid_mod* grid, struct vario
         free(stat->mean);
         free(stat->variance);
         free(variogram->var);
+        log_error("RESULT = failed");
         return 0;
     }
     variogram->alpha = (double*)malloc(variogram->Nvario * sizeof(double));
@@ -97,6 +102,7 @@ int Py_getvalues(PyObject* args, long* seed, struct grid_mod* grid, struct vario
         free(stat->variance);
         free(variogram->var);
         free(variogram->vario);
+        log_error("RESULT = failed");
         return 0;
     }
     variogram->scf = (double*)malloc(3 * variogram->Nvario * sizeof(double));
@@ -106,6 +112,7 @@ int Py_getvalues(PyObject* args, long* seed, struct grid_mod* grid, struct vario
         free(variogram->var);
         free(variogram->vario);
         free(variogram->alpha);
+        log_error("RESULT = failed");
         return 0;
     }
     variogram->ap = (double*)malloc(9 * variogram->Nvario * sizeof(double));
@@ -116,12 +123,15 @@ int Py_getvalues(PyObject* args, long* seed, struct grid_mod* grid, struct vario
         free(variogram->vario);
         free(variogram->alpha);
         free(variogram->scf);
+        log_error("RESULT = failed");
         return 0;
     }
     for (i = 0; i < variogram->Nvario; i++) {
         vgr = PyList_GetItem(listvario, i);
-        if (PyTuple_Size(vgr) != 12)
+        if (PyTuple_Size(vgr) != 12) {
+            log_error("RESULT = failed");
             return 0;
+        }
         (variogram->var)[i] = PyFloat_AsDouble(PyTuple_GetItem(vgr, j++));
         (variogram->vario)[i] = (int)PyInt_AsLong(PyTuple_GetItem(vgr, j++));
         (variogram->alpha)[i] = PyFloat_AsDouble(PyTuple_GetItem(vgr, j++));
@@ -136,5 +146,6 @@ int Py_getvalues(PyObject* args, long* seed, struct grid_mod* grid, struct vario
         (variogram->ap)[i * 9 + 5] = PyFloat_AsDouble(PyTuple_GetItem(vgr, j++));
     }
 
+    log_info("RESULT = success");
     return 1;
 }

fftma_module/gen/lib_src/Py_kgeneration.c

@@ -4,6 +4,7 @@
 #include "simpio.h"
 #include "toolsFFTMA.h"
 #include "toolsIO.h"
+#include "log.h"
 #include <Python.h>
 #include <numpy/arrayobject.h>
 #include <stdarg.h>
@@ -17,7 +18,7 @@
 /* Y is the realization with mean and variance wanted */
 
 void Py_kgeneration(long seed, struct grid_mod grid, struct statistic_mod stat, struct vario_mod variogram, struct realization_mod* Z, struct realization_mod* Y, int n[3])
-{
+{  
     int i, N;
     int typelog;
 
@@ -27,6 +28,8 @@ void Py_kgeneration(long seed, struct grid_mod grid, struct statistic_mod stat,
     n[1] = 0;
     n[2] = 0;
 
+    log_info("RESULT = in progress, N = %d", N);
+
     generate(&seed, N, Z);
 
     /*FFTMA*/
@@ -37,4 +40,6 @@ void Py_kgeneration(long seed, struct grid_mod grid, struct statistic_mod stat,
         typelog = stat.type + 2;
         nor2log(Y, typelog, Y);
     }
+    
+    log_info("RESULT = success");
 }

fftma_module/gen/lib_src/build_real.c

@@ -1,4 +1,5 @@
 #include "geostat.h"
+#include "log.h"
 #include <math.h>
 #include <stdarg.h>
 #include <stddef.h>
@@ -18,10 +19,10 @@
 /*realization: vector defining the real part   */
 /*ireal: vector defining the i-part   */
 
-void build_real(int n[3], int NTOT, double* covar, double* realization, double* ireal)
-{
+void build_real(int n[3], int NTOT, double* covar, double* realization, double* ireal) {
     int i, j, k, maille1;
     double temp;
+    log_info("RESULT = in progress, NTOT = %d, covar = %f, n[0] = %d, n[1] = %d, n[2] = %d", NTOT, *covar, n[0], n[1], n[2]);
 
     /*decomposition and multiplication in the spectral domain*/
     for (k = 1; k <= n[2]; k++) {
@@ -40,5 +41,5 @@ void build_real(int n[3], int NTOT, double* covar, double* realization, double*
         }
     }
 
-    return;
+    log_info("RESULT = success, realization = %f, ireal = %f", *realization, *ireal);
 }

fftma_module/gen/lib_src/cardsin.c

@@ -1,10 +1,12 @@
 #include "genlib.h"
+#include "log.h"
 #include <math.h>
 #include <stdio.h>
 
 /*cardsin covariance function*/
-double cardsin(double h)
-{
+double cardsin(double h) {
+    log_info("RESULT = in progress, h = %f", h);
+
     float delta = 20.371;
     double z;
 
@@ -14,5 +16,8 @@ double cardsin(double h)
     } else {
         z = 1.;
     }
-    return (z);
+
+    log_info("RESULT = success, z = %f", z);
+
+    return z;
 }

fftma_module/gen/lib_src/cgrid.c

@@ -1,4 +1,5 @@
 #include "geostat.h"
+#include "log.h"
 #include <stdlib.h>
 
 /*computes the size of the grid for FFTs*/
@@ -9,10 +10,11 @@
 /*n: vector with the number of cells along the     */
 /*   X, Y and Z axes for the underlying grid       */
 /*   i = [0 1 2]                                   */
-void cgrid(struct vario_mod variogram, struct grid_mod grid, int n[3])
-{
+void cgrid(struct vario_mod variogram, struct grid_mod grid, int n[3]) {
     int i, N;
     double D;
+    
+    log_info("RESULT = in progress");
 
     if (n == NULL || n[0] == 0 || n[1] == 0 || n[2] == 0) {
         for (i = 0; i < 3; i++) {
@@ -34,9 +36,10 @@ void cgrid(struct vario_mod variogram, struct grid_mod grid, int n[3])
         }
     } else {
         if ((n[0] < grid.NX) || (n[1] < grid.NY) || (n[2] < grid.NZ)) {
-            printf("Indicated dimensions are inappropriate in cgrid");
+            log_error("RESULT = failed -  Indicated dimensions are inappropriate in cgrid");
             exit;
         }
     }
-    return;
+
+    log_info("RESULT = success, n[0] = %d, n[1] = %d, n[2] = %d", n[0], n[1], n[2]);
 }

fftma_module/gen/lib_src/clean_real.c

@@ -1,4 +1,5 @@
 #include "geostat.h"
+#include "log.h"
 #include <math.h>
 #include <stdarg.h>
 #include <stddef.h>
@@ -6,8 +7,7 @@
 #include <stdlib.h>
 #include <string.h>
 
-void clean_real(struct realization_mod* realin, int n[3], struct grid_mod grid, double* vectorresult, struct realization_mod* realout)
-{
+void clean_real(struct realization_mod* realin, int n[3], struct grid_mod grid, double* vectorresult, struct realization_mod* realout) {
     int i, j, k, maille0, maille1;
     double NTOT;
 
@@ -15,10 +15,12 @@ void clean_real(struct realization_mod* realin, int n[3], struct grid_mod grid,
     /*is the output realization already allocated?*/
     /*if not, memory allocation*/
 
+    log_info("RESULT = in progress, NTOT = %f", NTOT);
+
     if (realout->vector == NULL || realout->n != realin->n) {
         realout->vector = (double*)malloc(realin->n * sizeof(double));
         if (realout->vector == NULL) {
-            printf("Clean_real.c:  No memory available\n");
+            log_error("RESULT = failed - No memory available");
             exit;
         }
     }
@@ -37,5 +39,5 @@ void clean_real(struct realization_mod* realin, int n[3], struct grid_mod grid,
         }
     }
 
-    return;
+    log_info("RESULT = success");
 }

fftma_module/gen/lib_src/cov_value.c

@@ -1,10 +1,12 @@
 #include "genlib.h"
 #include "geostat.h"
+#include "log.h"
 #include <math.h>
 
 /*selection of model covariance*/
-double cov_value(struct vario_mod variogram, double di, double dj, double dk)
-{
+double cov_value(struct vario_mod variogram, double di, double dj, double dk) {
+    log_info("RESULT = in progress, di = %f, dj = %f, dk = %f", di, dj, dk);
+
     double hx, hy, hz, h;
     double cov;
     int k;
@@ -49,5 +51,7 @@ double cov_value(struct vario_mod variogram, double di, double dj, double dk)
         }
     }
 
-    return (cov);
+    log_info("RESULT = success, hx = %f, hy = %f, hz = %f, h = %f, cov = %f", hx, hy, hz, h, cov);
+
+    return cov;
 }

fftma_module/gen/lib_src/covariance.c

@@ -1,13 +1,14 @@
 #include "geostat.h"
+#include "log.h"
 
 /*builds the sampled covariance function*/
 /*dimensions are even*/
-void covariance(double* covar, struct vario_mod variogram, struct grid_mod mesh, int n[3])
-
-{
+void covariance(double* covar, struct vario_mod variogram, struct grid_mod mesh, int n[3]) {
     int i, j, k, maille, n2[3], symmetric;
     double di, dj, dk;
 
+    log_info("RESULT = in progress");
+
     for (i = 0; i < 3; i++)
         n2[i] = n[i] / 2;
 
@@ -76,5 +77,5 @@ void covariance(double* covar, struct vario_mod variogram, struct grid_mod mesh,
         }
     }
 
-    return;
+    log_info("RESULT = success, di = %f, dj = %f, dk = %f", di, dj, dk);
 }

fftma_module/gen/lib_src/cubic.c

@@ -1,10 +1,12 @@
 #include "genlib.h"
+#include "log.h"
 #include <math.h>
 #include <stdio.h>
 
 /*cubic covariance function*/
-double cubic(double h)
-{
+double cubic(double h) {
+    log_info("RESULT = in progress, h = %f", h);
+
     double z;
 
     if (h >= 1.) {
@@ -12,5 +14,8 @@ double cubic(double h)
     } else {
         z = 1. - 7. * (double)(h * h) + (35. / 4.) * (double)(h * h * h) - 3.5 * (double)(h * h * h * h * h) + .75 * (double)(h * h * h * h * h * h * h);
     }
-    return (z);
+
+    log_info("RESULT = success, z = %f");
+
+    return z;
 }

fftma_module/gen/lib_src/exponential.c

@@ -1,9 +1,11 @@
 #include "genlib.h"
+#include "log.h"
 #include <math.h>
 #include <stdio.h>
 
 /*exponential covariance function*/
-double exponential(double h)
-{
+double exponential(double h) {
+    log_info("RESULT = in progress, h = %f", h);
+
     return (exp(-3. * (double)h));
 }

fftma_module/gen/lib_src/fftma2.c

@@ -1,4 +1,5 @@
 #include "geostat.h"
+#include "log.h"
 #include <math.h>
 #include <stdlib.h>
 #include <string.h>
@@ -21,9 +22,10 @@
 /*output:                                      */
 /*realout: structure defining a realization -  */
 
-void FFTMA2(struct vario_mod variogram, struct grid_mod grid, int n[3], struct realization_mod* realin, struct realization_mod* realout)
-{
-    int NTOT, i, j, k, NMAX, NDIM, ntot, nmax, NXYZ, nxyz, maille0, maille1;
+void FFTMA2(struct vario_mod variogram, struct grid_mod grid, int n[3], struct realization_mod* realin, struct realization_mod* realout) {
+    log_info("RESULT = in progress");
+
+    int NTOT, i, j, k, NMAX, NDIM, ntot, nmax, NXYZ, nxyz;
     int solver;
     double temp;
     double *ireal, *covar, *workr, *worki, *realization;
@@ -94,4 +96,6 @@ void FFTMA2(struct vario_mod variogram, struct grid_mod grid, int n[3], struct r
     clean_real(realin, n, grid, realization, realout);
 
     free(realization);
+
+    log_info("RESULT = success, NTOT = %d, NMAX = %d, NDIM = %d, ntot = %d, nmax = %d, NXYZ = %d, nxyz = %d", NTOT, NMAX, NDIM, ntot, nmax, NXYZ, nxyz);
 }

fftma_module/gen/lib_src/fourt.c

@@ -1,3 +1,4 @@
+#include "log.h"
 #include <math.h>
 #include <stdio.h>
 
@@ -89,8 +90,8 @@
 /*     PROGRAM MODIFIED FROM A SUBROUTINE OF BRENNER                       */
 /*     10-06-2000, MLR                                                     */
 
-void fourt(double* datar, double* datai, int nn[3], int ndim, int ifrwd, int icplx, double* workr, double* worki)
-{
+void fourt(double* datar, double* datai, int nn[3], int ndim, int ifrwd, int icplx, double* workr, double* worki) {
+    log_info("RESULT = in progress");
     int ifact[21], ntot, idim, np1, n, np2, m, ntwo, iff, idiv, iquot, irem, inon2, non2p, np0, nprev, icase, ifmin, i, j, jmax, np2hf, i2, i1max, i3, j3, i1, ifp1, ifp2, i2max, i1rng, istep, imin, imax, mmax, mmin, mstep, j1, j2max, j2, jmin, j3max, nhalf;
     double theta, wstpr, wstpi, wminr, wmini, wr, wi, wtemp, thetm, wmstr, wmsti, twowr, sr, si, oldsr, oldsi, stmpr, stmpi, tempr, tempi, difi, difr, sumr, sumi, TWOPI = 6.283185307179586476925286766559;
 
@@ -583,5 +584,6 @@ void fourt(double* datar, double* datai, int nn[3], int ndim, int ifrwd, int icp
         nprev = n;
     }
 L920:
+    log_info("RESULT = succes");
     return;
 }

fftma_module/gen/lib_src/gammf.c

@@ -1,14 +1,18 @@
 #include "genlib.h"
+#include "log.h"
 #include <math.h>
 #include <stdio.h>
 
 /*gamma covariance function*/
-double gammf(double h, double alpha)
-{
+double gammf(double h, double alpha) {
+    log_info("RESULT = in progress, h = %f, alpha = %f", h, alpha);
+
     float delta;
     double z;
 
     delta = pow(20., 1. / alpha) - 1.;
     z = 1. / (double)(pow(1. + h * delta, alpha));
-    return (z);
+
+    log_info("RESULT = success, delta = %f, z = %f", delta, z);
+    return z;
 }

fftma_module/gen/lib_src/gasdev.c

@@ -1,13 +1,15 @@
 #include "genlib.h"
+#include "log.h"
 #include <math.h>
 
 #define NTAB 32
 
-double gasdev(long* idum, long* idum2, long* iy, long iv[NTAB])
-/*returns a normally distributed deviate with 0 mean*/
-/*and unit variance, using ran2(idum) as the source */
-/*of uniform deviates                               */
-{
+double gasdev(long* idum, long* idum2, long* iy, long iv[NTAB]) {
+    /*returns a normally distributed deviate with 0 mean*/
+    /*and unit variance, using ran2(idum) as the source */
+    /*of uniform deviates                               */
+    log_info("RESULT = in progress, idum = %f, idum2 = %f, iy = %f", *idum, *idum2, *iy);
+
     double ran2(long* idum, long* idum2, long* iy, long iv[NTAB]);
     static int iset = 0;
     static double gset;
@@ -23,9 +25,11 @@ double gasdev(long* idum, long* idum2, long* iy, long iv[NTAB])
         fac = sqrt(-2.0 * log(rsq) / rsq);
         gset = v1 * fac;
         iset = 1;
+        log_info("RESULT = success, gset = %f, fac = %f, v1 = %f", gset, fac, v1);
         return (v2 * fac);
     } else {
         iset = 0;
-        return (gset);
+        log_info("RESULT = success, gset = %f", gset);
+        return gset;
     }
 }

fftma_module/gen/lib_src/gaussian.c

@@ -1,9 +1,10 @@
 #include "genlib.h"
+#include "log.h"
 #include <math.h>
 #include <stdio.h>
 
 /*gaussian covariance function*/
-double gaussian(double h)
-{
+double gaussian(double h) {
+    log_info("RESULT = in progress, h = %f", h);
     return (exp(-3. * (double)(h * h)));
 }

fftma_module/gen/lib_src/generate.c

@@ -1,6 +1,7 @@
 #include "geostat.h"
 #include <math.h>
 #include <stdlib.h>
+#include "log.h"
 
 /* GENERATION OF A GAUSSIAN WHITE NOISE VECTOR    */
 /*input:                                          */
@@ -9,8 +10,9 @@
 /*output:                                         */
 /* realization: structure defining the realization*/
 
-void generate(long* seed, int n, struct realization_mod* realization)
-{
+void generate(long* seed, int n, struct realization_mod* realization) {
+    log_info("RESULT = in progress, n = %d", n);
+
     int i;
     long idum2 = 123456789, iy = 0;
     long* iv;
@@ -27,7 +29,7 @@ void generate(long* seed, int n, struct realization_mod* realization)
     (*realization).code = 0;
     (*realization).vector = (double*)malloc(n * sizeof(double));
     if ((*realization).vector == NULL) {
-        printf("No memory available in generate");
+        log_error("RESULT = failed - No memory available in generate");
         exit;
     }
 
@@ -35,5 +37,6 @@ void generate(long* seed, int n, struct realization_mod* realization)
     for (i = 0; i < n; i++)
         (*realization).vector[i] = gasdev(seed, &idum2, &iy, iv, &iset);
 
+    log_info("RESULT = success");
     free(iv);
 }

fftma_module/gen/lib_src/length.c

@@ -1,8 +1,10 @@
+#include "log.h"
 #include <math.h>
 
 /* compute the length for one dimension*/
-int length(int N, int i, double* scf, double* ap, double D, int Nvari)
-{
+int length(int N, int i, double* scf, double* ap, double D, int Nvari) {
+    log_info("RESULT = in progress, N = %d, i = %d, D = %f, Nvari = %d", N, i, D, Nvari);
+
     int maxfactor(int n);
     double temp1, temp2;
     int n, j, k, nmax;
@@ -35,5 +37,7 @@ int length(int N, int i, double* scf, double* ap, double D, int Nvari)
             nmax = maxfactor(n);
         }
     }
-    return (n);
+
+    log_info("RESULT = success, n = %d", n);
+    return n;
 }

fftma_module/gen/lib_src/maxfactor.c

@@ -1,8 +1,10 @@
 #include "genlib.h"
+#include "log.h"
 
 /*determines the greatest prime factor of an integer*/
-int maxfactor(int n)
-{
+int maxfactor(int n) {
+    log_info("RESULT = in progress, n = %d", n);
+
     int test_fact(int* pnum, int fact, int* pmaxfac);
     int lnum, fact;
     int maxfac;
@@ -31,5 +33,7 @@ int maxfactor(int n)
                 maxfac = lnum;
         }
     }
-    return (maxfac);
+
+    log_info("RESULT = success, maxfac = %d", maxfac);
+    return maxfac;
 }

fftma_module/gen/lib_src/nor2log.c

@@ -1,4 +1,5 @@
 #include "geostat.h"
+#include "log.h"
 #include <math.h>
 #include <stdlib.h>
 
@@ -12,9 +13,8 @@
 /*realout: structure defining a realization -   */
 /*         lognormal numbers                    */
 
-void nor2log(struct realization_mod* realin, int typelog, struct realization_mod* realout)
-{
-    printf("Estoy en nor2log\n");
+void nor2log(struct realization_mod* realin, int typelog, struct realization_mod* realout) {
+    log_info("RESULT = in progress");
     int i;
     double coeff;
 
@@ -63,11 +63,11 @@ void nor2log(struct realization_mod* realin, int typelog, struct realization_mod
             (*realout).vector[i] = exp((*realin).vector[i] * coeff);
             break;
         default:
-            printf("Unexpected case in nor2log");
+            log_error("RESULT = failed - Unexpected case in nor2log");
             return;
             break;
         }
     }
 
-    return;
+    log_info("RESULT = success");
 }

fftma_module/gen/lib_src/nugget.c

@@ -1,10 +1,12 @@
 #include "genlib.h"
+#include "log.h"
 #include <math.h>
 #include <stdio.h>
 
 /*nugget covariance function*/
-double nugget(double h)
-{
+double nugget(double h) {
+    log_info("RESULT = in progress, h = %f", h);
+
     if (h == 0) {
         return (1.);
     } else {

fftma_module/gen/lib_src/power.c

@@ -1,9 +1,10 @@
 #include "genlib.h"
+#include "log.h"
 #include <math.h>
 #include <stdio.h>
 
 /*power covariance function*/
-double power(double h, double alpha)
-{
-    return (pow(h, alpha));
+double power(double h, double alpha) {
+    log_info("RESULT = in progress, h = %f, alpha = %f", h, alpha);
+    return pow(h, alpha);
 }

fftma_module/gen/lib_src/prebuild_gwn.c

@@ -1,4 +1,5 @@
 #include "geostat.h"
+#include "log.h"
 #include <math.h>
 #include <stdarg.h>
 #include <stddef.h>
@@ -19,12 +20,12 @@
 /*        must be a Gaussian white noise       */
 /*realization: structure defining a realization*/
 
-void prebuild_gwn(struct grid_mod grid, int n[3], struct realization_mod* realin, double* realization, int solver)
-
-{
+void prebuild_gwn(struct grid_mod grid, int n[3], struct realization_mod* realin, double* realization, int solver) {
     int i, j, k, maille0, maille1;
     int ntot;
 
+    log_info("RESULT = in progress, n[0] = %d, n[1] = %d, n[2] = %d, solver = %d", n[0], n[1], n[2], solver);
+
     ntot = n[0] * n[1] * n[2];
     realization[0] = 0.;
     if (solver == 1) {
@@ -46,5 +47,5 @@ void prebuild_gwn(struct grid_mod grid, int n[3], struct realization_mod* realin
             }
         }
     }
-    return;
+    log_info("RESULT = success");
 }

fftma_module/gen/lib_src/ran2.c

@@ -1,4 +1,5 @@
 #include "genlib.h"
+#include "log.h"
 
 #define IM1 2147483563
 #define IM2 2147483399
@@ -15,13 +16,13 @@
 #define EPS 1.2e-7
 #define RNMX (1.0 - EPS)
 
-double ran2(long* idum, long* idum2, long* iy, long iv[NTAB])
-
-{
+double ran2(long* idum, long* idum2, long* iy, long iv[NTAB]) {
     int j;
     long k;
     double temp;
 
+    log_info("RESULT = in progress");
+
     if (*idum <= 0) {
         if (-(*idum) < 1)
             *idum = 1;
@@ -52,8 +53,12 @@ double ran2(long* idum, long* idum2, long* iy, long iv[NTAB])
     iv[j] = *idum;
     if (*iy < 1)
         (*iy) += IMM1;
-    if ((temp = AM * (*iy)) > RNMX)
+    if ((temp = AM * (*iy)) > RNMX) {
+        log_info("RESULT = success");
         return (RNMX);
-    else
-        return (temp);
+    }
+    else {
+        log_info("RESULT = success, temp = %f, temp");
+        return temp;        
+    }
 }

fftma_module/gen/lib_src/spherical.c

@@ -1,16 +1,19 @@
 #include "genlib.h"
+#include "log.h"
 #include <math.h>
 #include <stdio.h>
 
 /*spherical covariance function*/
-double spherical(double h)
-{
+double spherical(double h) {
     double z;
+    log_info("RESULT = in progress, h = %f", h);
 
     if (h >= 1.) {
         z = 0.;
     } else {
         z = 1. - 1.5 * (double)h + 0.5 * (double)(h * h * h);
     }
-    return (z);
+    log_info("RESULT = success, z = %f", z);
+
+    return z;
 }

fftma_module/gen/lib_src/stable.c

@@ -3,7 +3,6 @@
 #include <stdio.h>
 
 /*stable covariance function*/
-double stable(double h, double alpha)
-{
+double stable(double h, double alpha) {
     return (exp(-3. * (double)pow(h, alpha)));
 }

fftma_module/gen/moduleFFTMA.c

@@ -7,6 +7,7 @@
 #include "toolsFFTMA.h"
 #include "toolsFFTPSIM.h"
 #include "toolsIO.h"
+#include "lib_src/log.h"
 #include <Python.h>
 #include <math.h>
 #include <numpy/arrayobject.h>
@@ -20,8 +21,8 @@
 /* Z is the GWN with 0-mean and 1-variance */
 /* Y is the realization with mean and variance wanted */
 
-static PyObject* genFunc(PyObject* self, PyObject* args)
-{
+static PyObject* genFunc(PyObject* self, PyObject* args) {
+    log_info("RESULT = in progress");
     int n[3];
     struct realization_mod Z, Y;
     struct grid_mod grid;
@@ -53,6 +54,8 @@ static PyObject* genFunc(PyObject* self, PyObject* args)
     free(variogram.scf);   
     free(variogram.ap); 
     free(Z.vector);
+    
+    log_info("RESULT = success");
     return out_array;
 }
 

fftma_module/gen/setup.py

@@ -42,6 +42,7 @@ module_FFTMA = Extension(
         "./lib_src/clean_real.c",
         "./lib_src/testmemory.c",
         "./lib_src/genlib.c",
+        "./lib_src/log.c"
     ],
 )
 

fftma_module/gen/test.py

@@ -2,7 +2,7 @@ from FFTMA import gen
 import numpy as np
 import gc
 
-N=512
+N=16
 
 nx, ny, nz = N,N,N
 dx, dy, dz = 1.0, 1.0, 1.0
@@ -27,7 +27,7 @@ mean=15.3245987
 variance=3.5682389
 typ=3
 
-for i in range(2):
+for i in range(1):
     k=gen(nx, ny, nz, dx, dy, dz, seed, variograms, mean, variance, typ)
 
     np.save(f"out_{i}.npy",k)