Axes bugfix
Former-commit-id: 8c58c30104d142779e698646a46ca950520307c0
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@ -0,0 +1,44 @@
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#include "translations.h"
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#include <stdio.h>
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//#include <math.h>
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#include <complex.h>
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typedef struct {
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int m, n, mu, nu;
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sph_t kdlj;
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qpms_bessel_t J;
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complex double result_A, result_B;
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} testcase_single_trans_t;
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testcase_single_trans_t testcases_Taylor[] = {
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#include "testcases_taylor"
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};
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int main() {
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int repete = 500;
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int lMax = 3;
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qpms_trans_calculator *c = qpms_trans_calculator_init(lMax, QPMS_NORMALIZATION_TAYLOR);
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for( int rr = 0; rr < repete; rr++)
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for(testcase_single_trans_t *tc = testcases_Taylor; tc->J != QPMS_BESSEL_UNDEF; tc++) {
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//if (tc->n > 40 || tc->nu > 40 ) continue;
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complex double A_array[c->nelem * c->nelem];
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complex double B_array[c->nelem * c->nelem];
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qpms_trans_calculator_get_AB_arrays(c, A_array, B_array, c->nelem, 1, tc->kdlj, true, tc->J);
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#if 0
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complex double A = qpms_trans_single_A_Taylor(tc->m, tc->n, tc->mu, tc->nu, tc->kdlj, true, tc->J);
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complex double B = qpms_trans_single_B_Taylor(tc->m, tc->n, tc->mu, tc->nu, tc->kdlj, true, tc->J);
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printf("A = %.16f+%.16fj, relerr=%.16f, J=%d\n",
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creal(A), cimag(A), (0 == cabs(tc->result_A - A)) ? 0 :
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cabs(tc->result_A - A)/((cabs(A) < cabs(tc->result_A)) ? cabs(A) : cabs(tc->result_A)),
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tc->J);
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printf("B = %.16f+%.16fj, relerr=%.16f, J=%d\n",
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creal(B), cimag(B), (0 == cabs(tc->result_B - B)) ? 0 :
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cabs(tc->result_B - B)/((cabs(B) < cabs(tc->result_B)) ? cabs(B) : cabs(tc->result_B)),
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tc->J);
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#endif
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}
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}
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@ -665,6 +665,10 @@ int qpms_trans_calculator_get_AB_arrays_ext(const qpms_trans_calculator *c,
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#ifdef QPMS_COMPILE_PYTHON_EXTENSIONS
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#include <string.h>
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#ifdef QPMS_USE_OMP
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#include <omp.h>
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#endif
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int qpms_cython_trans_calculator_get_AB_arrays_loop(
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const qpms_trans_calculator *c, const qpms_bessel_t J, const int resnd,
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const int daxis, const int saxis,
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@ -677,13 +681,17 @@ int qpms_cython_trans_calculator_get_AB_arrays_loop(
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assert(daxis != saxis);
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assert(resnd >= 2);
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int longest_axis = 0;
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int longestshape = 1;
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const npy_intp *resultshape = A_shape, *resultstrides = A_strides;
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// TODO put some restrict's everywhere?
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for (int ax = 0; ax < resnd; ++ax){
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assert(A_shape[ax] == B_shape[ax]);
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assert(A_strides[ax] == B_strides[ax]);
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if (daxis == ax || saxis == ax) continue;
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if (A_shape[ax] > A_shape[longest_axis]) longest_axis = ax;
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if (A_shape[ax] > longestshape) {
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longest_axis = ax;
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longestshape = 1;
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}
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}
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const npy_intp longlen = resultshape[longest_axis];
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@ -704,62 +712,67 @@ int qpms_cython_trans_calculator_get_AB_arrays_loop(
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const npy_intp dstride = resultstrides[daxis] / sizeof(complex double);
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const npy_intp sstride = resultstrides[saxis] / sizeof(complex double);
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int errval = 0;
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// TODO here start parallelisation
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npy_intp local_indices[resnd];
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memset(local_indices, 0, sizeof(local_indices));
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int errval_local = 0;
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//#pragma omp parallel
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{
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npy_intp local_indices[resnd];
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memset(local_indices, 0, sizeof(local_indices));
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int errval_local = 0;
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size_t longi;
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//#pragma omp for
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for(longi = 0; longi < longlen; ++longi) {
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// this might be done also in the inverse order, but this is more
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// 'c-contiguous' way of incrementing the indices
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int ax = resnd - 1;
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while(ax >= 0) {
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/* calculate the correct index/pointer for each array used.
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* This can be further optimized from O(resnd * total size of
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* the result array) to O(total size of the result array), but
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* fick that now
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*/
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const char *r_p = r_data + r_strides[longest_axis] * longi;
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const char *theta_p = theta_data + theta_strides[longest_axis] * longi;
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const char *phi_p = phi_data + phi_strides[longest_axis] * longi;
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const char *r_ge_d_p = r_ge_d_data + r_ge_d_strides[longest_axis] * longi;
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char *A_p = A_data + A_strides[longest_axis] * longi;
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char *B_p = B_data + B_strides[longest_axis] * longi;
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for(int i = 0; i < resnd; ++i) {
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// following two lines are probably not needed, as innerloop_shape is there 1 anyway
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// so if i == daxis, saxis, or longest_axis, local_indices[i] is zero.
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if (i == longest_axis) continue;
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if (daxis == i || saxis == i) continue;
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r_p += r_strides[i] * local_indices[i];
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theta_p += theta_strides[i] * local_indices[i];
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phi_p += phi_strides[i] * local_indices[i];
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A_p += A_strides[i] * local_indices[i];
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B_p += B_strides[i] * local_indices[i];
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}
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for(npy_intp longi = 0; longi < longlen; ++longi) {
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// this might be done also in the inverse order, but this is more
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// 'c-contiguous' way of incrementing the indices
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int ax = resnd - 1;
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while(ax >= 0) {
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/* calculate the correct index/pointer for each array used.
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* This can be further optimized from O(resnd * total size of
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* the result array) to O(total size of the result array), but
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* fick that now
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*/
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const char *r_p = r_data + r_strides[longest_axis] * longi;
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const char *theta_p = theta_data + theta_strides[longest_axis] * longi;
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const char *phi_p = phi_data + phi_strides[longest_axis] * longi;
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const char *r_ge_d_p = r_ge_d_data + r_ge_d_strides[longest_axis] * longi;
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char *A_p = A_data + A_strides[longest_axis] * longi;
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char *B_p = B_data + B_strides[longest_axis] * longi;
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for(int i = 0; i < resnd; ++i) {
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// following two lines are probably not needed, as innerloop_shape is there 1 anyway
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// so if i == daxis, saxis, or longest_axis, local_indices[i] is zero.
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if (i == longest_axis) continue;
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if (daxis == i || saxis == i) continue;
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r_p += r_strides[i] * local_indices[i];
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theta_p += theta_strides[i] * local_indices[i];
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phi_p += phi_strides[i] * local_indices[i];
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A_p += A_strides[i] * local_indices[i];
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B_p += B_strides[i] * local_indices[i];
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// perform the actual task here
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errval_local |= qpms_trans_calculator_get_AB_arrays_ext(c, (complex double *)A_p,
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(complex double *)B_p,
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dstride, sstride,
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// FIXME change all the _ext function types to npy_... so that
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// these casts are not needed
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*((double *) r_p), *((double *) theta_p), *((double *)phi_p),
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(int)(*((npy_bool *) r_ge_d_p)), J);
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if (errval_local) abort();
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// increment the last index 'digit' (ax is now resnd-1; we don't have do-while loop in python)
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++local_indices[ax];
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while(local_indices[ax] == innerloop_shape[ax] && ax >= 0) {
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// overflow to the next digit but stop when reached below the last one
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local_indices[ax] = 0;
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local_indices[--ax]++;
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}
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if (ax >= 0) // did not overflow, get back to the lowest index
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ax = resnd - 1;
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}
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// perform the actual task here
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errval_local |= qpms_trans_calculator_get_AB_arrays_ext(c, (complex double *)A_p,
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(complex double *)B_p,
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dstride, sstride,
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// FIXME change all the _ext function types to npy_... so that
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// these casts are not needed
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*((double *) r_p), *((double *) theta_p), *((double *)phi_p),
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(int)(*((npy_bool *) r_ge_d_p)), J);
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if (errval_local) abort();
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// increment the last index 'digit' (ax is now resnd-1; we don't have do-while loop in python)
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++local_indices[ax];
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while(local_indices[ax] == innerloop_shape[ax] && ax >= 0) {
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// overflow to the next digit but stop when reached below the last one
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local_indices[ax] = 0;
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local_indices[--ax]++;
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}
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if (ax >= 0) // did not overflow, get back to the lowest index
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ax = resnd - 1;
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}
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errval |= errval_local;
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}
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// FIXME when parallelizing
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int errval = errval_local;
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// TODO Here end parallelisation
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return errval;
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}
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