YetAnotherCoupler 3.2.0_a
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test_interp_method_nnn_parallel.c

A test for the parallel nearest neighbour interpolation method.

// Copyright (c) 2024 The YAC Authors
//
// SPDX-License-Identifier: BSD-3-Clause
#include <stdlib.h>
#include <stdio.h>
#include <math.h>
#include "tests.h"
#include "interp_method.h"
#include "dist_grid_utils.h"
#include "yac_mpi.h"
#include "geometry.h"
#include <mpi.h>
#include <yaxt.h>
#include <netcdf.h>
char const src_grid_name[] = "src_grid";
char const tgt_grid_name[] = "tgt_grid";
static void target_main(MPI_Comm global_comm, MPI_Comm target_comm);
static void source_main(MPI_Comm global_comm, MPI_Comm source_comm);
int main (void) {
MPI_Init(NULL, NULL);
xt_initialize(MPI_COMM_WORLD);
int comm_rank, comm_size;
MPI_Comm_rank(MPI_COMM_WORLD, &comm_rank);
MPI_Comm_size(MPI_COMM_WORLD, &comm_size);
MPI_Barrier(MPI_COMM_WORLD);
if (comm_size != 5) {
PUT_ERR("ERROR: wrong number of processes");
xt_finalize();
MPI_Finalize();
return TEST_EXIT_CODE;
}
int tgt_flag = comm_rank < 1;
MPI_Comm split_comm;
MPI_Comm_split(MPI_COMM_WORLD, tgt_flag, 0, &split_comm);
if (tgt_flag) target_main(MPI_COMM_WORLD, split_comm);
else source_main(MPI_COMM_WORLD, split_comm);
MPI_Comm_free(&split_comm);
xt_finalize();
MPI_Finalize();
return TEST_EXIT_CODE;
}
static void source_main(MPI_Comm global_comm,
MPI_Comm source_comm) {
// 1 and 5 nearest neighbours per target point with fixed value fallback
// corner and cell ids for a 7 x 7 grid (x == target point position)
// 56-----57-----58-----59-----60-----61-----62-----63
// | x| x| x| x| x| x| x|
// | 42 | 43 | 44 | 45 | 46 | 47 | 48 |
// | | | | | | | |
// 48-----49-----50-----51-----52-----53-----54-----55
// | x| x| x| x| x| x| x|
// | 35 | 36 | 37 | 38 | 39 | 40 | 41 |
// | | | | | | | |
// 40-----41-----42-----43-----44-----45-----46-----47
// | x| x| x| x| x| x| x|
// | 28 | 29 | 30 | 31 | 32 | 33 | 34 |
// | | | | | | | |
// 32-----33-----34-----35-----36-----37-----38-----39
// | x| x| x| x| x| x| x|
// | 21 | 22 | 23 | 24 | 25 | 26 | 27 |
// | | | | | | | |
// 24-----25-----26-----27-----28-----29-----30-----31
// | x| x| x| x| x| x| x|
// | 14 | 15 | 16 | 17 | 18 | 19 | 20 |
// | | | | | | | |
// 16-----17-----18-----19-----20-----21-----22-----23
// | x| x| x| x| x| x| x|
// | 07 | 08 | 09 | 10 | 11 | 12 | 13 |
// | | | | | | | |
// 08-----09-----10-----11-----12-----13-----14-----15
// | x| x| x| x| x| x| x|
// | 00 | 01 | 02 | 03 | 04 | 05 | 06 |
// | | | | | | | |
// 00-----01-----02-----03-----04-----05-----06-----07
//
// the grid is distributed among the processes as follows:
// (index == process)
//
// 3---3---3---3---3---3---3---3
// | 3 | 3 | 3 | 3 | 3 | 3 | 3 |
// 3---3---3---3---3---3---3---3
// | 3 | 3 | 3 | 3 | 3 | 3 | 3 |
// 3---3---3---1---2---2---3---3
// | 1 | 1 | 1 | 2 | 2 | 2 | 2 |
// 1---1---1---2---2---2---2---2
// | 1 | 1 | 1 | 2 | 2 | 2 | 2 |
// 1---1---1---1---2---2---2---2
// | 1 | 1 | 1 | 2 | 2 | 2 | 2 |
// 1---1---1---0---0---0---2---2
// | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
// 0---0---0---0---0---0---0---0
// | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
// 0---0---0---0---0---0---0---0
//
// the source mask looks as follows (# == masked point)
//
// +---+---+---+---+---+---+---#
// | | | | | | | |
// +---+---+---+---+---+---#---+
// | | | | | | | |
// +---+---+---+---+---#---+---+
// | | | | | | | |
// +---+---+---+---#---+---+---+
// | | | | | | | |
// +---+---+---#---+---+---+---+
// | | | | | | | |
// +---+---#---+---+---+---+---+
// | | | | | | | |
// +---#---+---+---+---+---+---+
// | | | | | | | |
// #---+---+---+---+---+---+---+
int my_source_rank;
MPI_Comm_rank(source_comm, &my_source_rank);
double coordinates_x[] = {0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0};
double coordinates_y[] = {0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0};
size_t const num_cells[2] = {7,7};
size_t local_start[4][2] = {{0,0},{0,2},{3,2},{0,5}};
size_t local_count[4][2] = {{7,2},{3,3},{4,3},{7,2}};
int with_halo = 0;
int global_corner_mask[8][8] = {
{0,1,1,1,1,1,1,1},
{1,0,1,1,1,1,1,1},
{1,1,0,1,1,1,1,1},
{1,1,1,0,1,1,1,1},
{1,1,1,1,0,1,1,1},
{1,1,1,1,1,0,1,1},
{1,1,1,1,1,1,0,1},
{1,1,1,1,1,1,1,0}};
for (size_t i = 0; i <= num_cells[0]; ++i) coordinates_x[i] *= YAC_RAD;
for (size_t i = 0; i <= num_cells[1]; ++i) coordinates_y[i] *= YAC_RAD;
struct yac_basic_grid_data grid_data =
yac_generate_basic_grid_data_reg2d(
coordinates_x, coordinates_y, num_cells,
local_start[my_source_rank], local_count[my_source_rank], with_halo);
int * src_corner_mask =
xmalloc(grid_data.num_vertices * sizeof(*src_corner_mask));
for (size_t i = 0; i < grid_data.num_vertices; ++i)
src_corner_mask[i] =
((int*)(&(global_corner_mask[0][0])))[grid_data.vertex_ids[i]];
struct yac_basic_grid * src_grid =
yac_basic_grid_new(src_grid_name, grid_data);
yac_basic_grid_add_mask_nocpy(src_grid, YAC_LOC_CORNER, src_corner_mask, NULL);
struct yac_basic_grid * tgt_grid = yac_basic_grid_empty_new(tgt_grid_name);
struct yac_dist_grid_pair * grid_pair =
yac_dist_grid_pair_new(src_grid, tgt_grid, MPI_COMM_WORLD);
struct yac_interp_field src_fields[] =
{{.location = YAC_LOC_CORNER, .coordinates_idx = SIZE_MAX, .masks_idx = 0}};
size_t num_src_fields = sizeof(src_fields) / sizeof(src_fields[0]);
struct yac_interp_field tgt_field =
{.location = YAC_LOC_CELL, .coordinates_idx = 0, .masks_idx = SIZE_MAX};
struct yac_interp_grid * interp_grid =
size_t num_stacks = 5;
struct interp_method * method_stack[5][3] = {
(struct yac_nnn_config){.type = YAC_INTERP_NNN_AVG, .n = 1}),
(struct yac_nnn_config){.type = YAC_INTERP_NNN_AVG, .n = 5}),
(struct yac_nnn_config){.type = YAC_INTERP_NNN_DIST, .n = 5}),
(struct yac_nnn_config){
.type = YAC_INTERP_NNN_GAUSS, .n = 5,
.data.gauss_scale = YAC_INTERP_NNN_GAUSS_SCALE_DEFAULT}),
(struct yac_nnn_config){.type = YAC_INTERP_NNN_ZERO, .n = 1}),
struct yac_interp_weights * weights[5];
for (size_t i = 0; i < num_stacks; ++i) {
weights[i] = yac_interp_method_do_search(method_stack[i], interp_grid);
yac_interp_method_delete(method_stack[i]);
}
enum yac_interp_weights_reorder_type reorder_type[2] =
for (size_t i = 0; i < num_stacks; ++i) {
for (size_t j = 0; j < 2; ++j) {
for (size_t collection_size = 1; collection_size < 4;
struct yac_interpolation * interpolation =
weights[i], reorder_type[j], collection_size, YAC_FRAC_MASK_NO_VALUE, 1.0, 0.0);
// check generated interpolation
{
double *** src_data = xmalloc(collection_size * sizeof(*src_data));
for (size_t collection_idx = 0; collection_idx < collection_size;
++collection_idx) {
// only one field
src_data[collection_idx] = xmalloc(1 * sizeof(**src_data));
src_data[collection_idx][0] =
xmalloc(grid_data.num_vertices * sizeof(***src_data));
for (size_t i = 0; i < grid_data.num_vertices; ++i)
src_data[collection_idx][0][i] =
(double)(grid_data.vertex_ids[i]) +
(double)(collection_idx * 49);
}
yac_interpolation_execute(interpolation, src_data, NULL);
for (size_t collection_idx = 0; collection_idx < collection_size;
++collection_idx) {
free(src_data[collection_idx][0]);
free(src_data[collection_idx]);
}
free(src_data);
}
yac_interpolation_delete(interpolation);
}
}
}
for (size_t i = 0; i < num_stacks; ++i)
yac_interp_grid_delete(interp_grid);
}
static double compute_dist_result(
size_t n, size_t * src_indices, size_t tgt_index) {
double coordinates_x[] = {0.0,1.0,2.0,3.0,4.0,5.0,6.0,7.0};
double coordinates_y[] = {0.0,1.0,2.0,3.0,4.0,5.0,6.0,7.0};
double cell_coordinates_x[] = {0.75,1.75,2.75,3.75,4.75,5.75,6.75};
double cell_coordinates_y[] = {0.75,1.75,2.75,3.75,4.75,5.75,6.75};
double tgt_coord[3];
cell_coordinates_x[tgt_index%7],
cell_coordinates_y[tgt_index/7], tgt_coord);
double result = 0.0;
double weights_sum = 0.0;
for (size_t i = 0; i < n; ++i) {
double src_coord[3];
LLtoXYZ_deg(coordinates_x[src_indices[i]%8],
coordinates_y[src_indices[i]/8], src_coord);
double weight = 1.0 / get_vector_angle(tgt_coord, src_coord);
result += weight * (double)src_indices[i];
weights_sum += weight;
}
return result / weights_sum;
}
static double compute_gauss_result(
size_t n, size_t * src_indices, size_t tgt_index) {
double coordinates_x[] = {0.0,1.0,2.0,3.0,4.0,5.0,6.0,7.0};
double coordinates_y[] = {0.0,1.0,2.0,3.0,4.0,5.0,6.0,7.0};
double cell_coordinates_x[] = {0.75,1.75,2.75,3.75,4.75,5.75,6.75};
double cell_coordinates_y[] = {0.75,1.75,2.75,3.75,4.75,5.75,6.75};
double src_coords[n][3];
for (size_t i = 0; i < n; ++i)
LLtoXYZ_deg(coordinates_x[src_indices[i]%8],
coordinates_y[src_indices[i]/8], src_coords[i]);
// "- n" because we do not count the diagonal
double src_distances_sum = 0.0;
for (size_t i = 0; i < n; ++i)
for (size_t j = 0; j < n; ++j)
src_distances_sum += get_vector_angle(src_coords[i], src_coords[j]);
size_t src_distance_count = n * n - n;
// compute mean distance
double src_distance_mean = src_distances_sum / (double)src_distance_count;
double src_distance_mean_sq = src_distance_mean * src_distance_mean;
// compute weights
double tgt_coord[3];
LLtoXYZ_deg(cell_coordinates_x[tgt_index%7],
cell_coordinates_y[tgt_index/7], tgt_coord);
double weights[n];
for (size_t i = 0; i < n; ++i) {
double tgt_distance = get_vector_angle(src_coords[i], tgt_coord);
weights[i] =
exp(-1.0 * (tgt_distance * tgt_distance) /
(YAC_INTERP_NNN_GAUSS_SCALE_DEFAULT * src_distance_mean_sq));
}
// compute sum of weights
double weights_sum = 0.0;
for (size_t i = 0; i < n; ++i) weights_sum += weights[i];
for (size_t i = 0; i < n; ++i) weights[i] /= weights_sum;
// compute interpolation results
double result = 0.0;
for (size_t i = 0; i < n; ++i)
result += weights[i] * (double)src_indices[i];
return result;
}
static void target_main(MPI_Comm global_comm,
MPI_Comm target_comm) {
double coordinates_x[] = {0.0,1.0,2.0,3.0,4.0,5.0,6.0,7.0};
double coordinates_y[] = {0.0,1.0,2.0,3.0,4.0,5.0,6.0,7.0};
double cell_coordinates_x[] = {0.75,1.75,2.75,3.75,4.75,5.75,6.75};
double cell_coordinates_y[] = {0.75,1.75,2.75,3.75,4.75,5.75,6.75};
yac_coordinate_pointer cell_coordinates = xmalloc(49 * sizeof(*cell_coordinates));
size_t const num_cells[2] = {7,7};
size_t local_start[2] = {0,0};
size_t local_count[2] = {7,7};
int with_halo = 0;
for (size_t i = 0; i <= num_cells[0]; ++i) coordinates_x[i] *= YAC_RAD;
for (size_t i = 0; i <= num_cells[1]; ++i) coordinates_y[i] *= YAC_RAD;
for (size_t i = 0, k = 0; i < num_cells[1]; ++i)
for (size_t j = 0; j < num_cells[0]; ++j, ++k)
cell_coordinates_x[j], cell_coordinates_y[i], cell_coordinates[k]);
struct yac_basic_grid_data grid_data =
yac_generate_basic_grid_data_reg2d(
coordinates_x, coordinates_y, num_cells,
local_start, local_count, with_halo);
struct yac_basic_grid * tgt_grid =
yac_basic_grid_new(tgt_grid_name, grid_data);
tgt_grid, YAC_LOC_CELL, cell_coordinates);
struct yac_basic_grid * src_grid = yac_basic_grid_empty_new(src_grid_name);
struct yac_dist_grid_pair * grid_pair =
yac_dist_grid_pair_new(tgt_grid, src_grid, MPI_COMM_WORLD);
struct yac_interp_field src_fields[] =
{{.location = YAC_LOC_CORNER, .coordinates_idx = SIZE_MAX, .masks_idx = 0}};
size_t num_src_fields = sizeof(src_fields) / sizeof(src_fields[0]);
struct yac_interp_field tgt_field =
{.location = YAC_LOC_CELL, .coordinates_idx = 0, .masks_idx = SIZE_MAX};
struct yac_interp_grid * interp_grid =
size_t num_stacks = 5;
struct interp_method * method_stack[5][3] = {
(struct yac_nnn_config){.type = YAC_INTERP_NNN_AVG, .n = 1}),
(struct yac_nnn_config){.type = YAC_INTERP_NNN_AVG, .n = 5}),
(struct yac_nnn_config){.type = YAC_INTERP_NNN_DIST, .n = 5}),
(struct yac_nnn_config){
.type = YAC_INTERP_NNN_GAUSS, .n = 5,
.data.gauss_scale = YAC_INTERP_NNN_GAUSS_SCALE_DEFAULT}),
(struct yac_nnn_config){.type = YAC_INTERP_NNN_ZERO, .n = 1}),
struct yac_interp_weights * weights[5];
for (size_t i = 0; i < num_stacks; ++i) {
weights[i] = yac_interp_method_do_search(method_stack[i], interp_grid);
yac_interp_method_delete(method_stack[i]);
}
enum yac_interp_weights_reorder_type reorder_type[2] =
for (size_t i = 0; i < num_stacks; ++i) {
for (size_t j = 0; j < 2; ++j) {
for (size_t collection_size = 1; collection_size < 4;
struct yac_interpolation * interpolation =
weights[i], reorder_type[j], collection_size, YAC_FRAC_MASK_NO_VALUE, 1.0, 0.0);
// check generated interpolation
{
double ref_tgt_field[][49] =
{{8,10,11,12,13,14,15,
17,17,19,20,21,22,23,
25,26,26,28,29,30,31,
33,34,35,35,37,38,39,
41,42,43,44,44,46,47,
49,50,51,52,53,53,55,
57,58,59,60,61,62,62},
{(1+8+10+16+17)/5.0,(1+2+10+11+17)/5.0,
(2+3+10+11+12)/5.0,(3+4+11+12+13)/5.0,
(4+5+12+13+14)/5.0,(5+6+13+14+15)/5.0,
(6+7+14+15+23)/5.0,(8+16+17+24+25)/5.0,
(10+17+19+25+26)/5.0,(10+11+19+20+26)/5.0,
(11+12+19+20+21)/5.0,(12+13+20+21+22)/5.0,
(13+14+21+22+23)/5.0,(14+15+22+23+31)/5.0,
(16+17+24+25+26)/5.0,(17+19+25+26+34)/5.0,
(19+20+26+28+35)/5.0,(19+20+21+28+29)/5.0,
(20+21+28+29+30)/5.0,(21+22+29+30+31)/5.0,
(22+23+30+31+39)/5.0,(24+25+32+33+34)/5.0,
(25+26+33+34+35)/5.0,(26+28+34+35+43)/5.0,
(28+29+35+37+44)/5.0,(28+29+30+37+38)/5.0,
(29+30+37+38+39)/5.0,(30+31+38+39+47)/5.0,
(32+33+40+41+42)/5.0,(33+34+41+42+43)/5.0,
(34+35+42+43+44)/5.0,(35+37+43+44+52)/5.0,
(37+38+44+46+53)/5.0,(37+38+39+46+47)/5.0,
(38+39+46+47+55)/5.0,(40+41+48+49+50)/5.0,
(41+42+49+50+51)/5.0,(42+43+50+51+52)/5.0,
(43+44+51+52+53)/5.0,(44+46+52+53+61)/5.0,
(46+47+53+55+62)/5.0,(46+47+53+55+62)/5.0,
(48+49+56+57+58)/5.0,(49+50+57+58+59)/5.0,
(50+51+58+59+60)/5.0,(51+52+59+60+61)/5.0,
(52+53+60+61+62)/5.0,(53+55+60+61+62)/5.0,
(47+53+55+61+62)/5.0},
{compute_dist_result(5, (size_t[]){1,8,10,16,17}, 0),
compute_dist_result(5, (size_t[]){1,2,10,11,17}, 1),
compute_dist_result(5, (size_t[]){2,3,10,11,12}, 2),
compute_dist_result(5, (size_t[]){3,4,11,12,13}, 3),
compute_dist_result(5, (size_t[]){4,5,12,13,14}, 4),
compute_dist_result(5, (size_t[]){5,6,13,14,15}, 5),
compute_dist_result(5, (size_t[]){6,7,14,15,23}, 6),
compute_dist_result(5, (size_t[]){8,16,17,24,25}, 7),
compute_dist_result(5, (size_t[]){10,17,19,25,26}, 8),
compute_dist_result(5, (size_t[]){10,11,19,20,26}, 9),
compute_dist_result(5, (size_t[]){11,12,19,20,21}, 10),
compute_dist_result(5, (size_t[]){12,13,20,21,22}, 11),
compute_dist_result(5, (size_t[]){13,14,21,22,23}, 12),
compute_dist_result(5, (size_t[]){14,15,22,23,31}, 13),
compute_dist_result(5, (size_t[]){16,17,24,25,26}, 14),
compute_dist_result(5, (size_t[]){17,19,25,26,34}, 15),
compute_dist_result(5, (size_t[]){19,20,26,28,35}, 16),
compute_dist_result(5, (size_t[]){19,20,21,28,29}, 17),
compute_dist_result(5, (size_t[]){20,21,28,29,30}, 18),
compute_dist_result(5, (size_t[]){21,22,29,30,31}, 19),
compute_dist_result(5, (size_t[]){22,23,30,31,39}, 20),
compute_dist_result(5, (size_t[]){24,25,32,33,34}, 21),
compute_dist_result(5, (size_t[]){25,26,33,34,35}, 22),
compute_dist_result(5, (size_t[]){26,28,34,35,43}, 23),
compute_dist_result(5, (size_t[]){28,29,35,37,44}, 24),
compute_dist_result(5, (size_t[]){28,29,30,37,38}, 25),
compute_dist_result(5, (size_t[]){29,30,37,38,39}, 26),
compute_dist_result(5, (size_t[]){30,31,38,39,47}, 27),
compute_dist_result(5, (size_t[]){32,33,40,41,42}, 28),
compute_dist_result(5, (size_t[]){33,34,41,42,43}, 29),
compute_dist_result(5, (size_t[]){34,35,42,43,44}, 30),
compute_dist_result(5, (size_t[]){35,37,43,44,52}, 31),
compute_dist_result(5, (size_t[]){37,38,44,46,53}, 32),
compute_dist_result(5, (size_t[]){37,38,39,46,47}, 33),
compute_dist_result(5, (size_t[]){38,39,46,47,55}, 34),
compute_dist_result(5, (size_t[]){40,41,48,49,50}, 35),
compute_dist_result(5, (size_t[]){41,42,49,50,51}, 36),
compute_dist_result(5, (size_t[]){42,43,50,51,52}, 37),
compute_dist_result(5, (size_t[]){43,44,51,52,53}, 38),
compute_dist_result(5, (size_t[]){44,46,52,53,61}, 39),
compute_dist_result(5, (size_t[]){46,47,53,55,62}, 40),
compute_dist_result(5, (size_t[]){46,47,53,55,62}, 41),
compute_dist_result(5, (size_t[]){48,49,56,57,58}, 42),
compute_dist_result(5, (size_t[]){49,50,57,58,59}, 43),
compute_dist_result(5, (size_t[]){50,51,58,59,60}, 44),
compute_dist_result(5, (size_t[]){51,52,59,60,61}, 45),
compute_dist_result(5, (size_t[]){52,53,60,61,62}, 46),
compute_dist_result(5, (size_t[]){53,55,60,61,62}, 47),
compute_dist_result(5, (size_t[]){47,53,55,61,62}, 48)},
{compute_gauss_result(5, (size_t[]){1,8,10,16,17}, 0),
compute_gauss_result(5, (size_t[]){1,2,10,11,17}, 1),
compute_gauss_result(5, (size_t[]){2,3,10,11,12}, 2),
compute_gauss_result(5, (size_t[]){3,4,11,12,13}, 3),
compute_gauss_result(5, (size_t[]){4,5,12,13,14}, 4),
compute_gauss_result(5, (size_t[]){5,6,13,14,15}, 5),
compute_gauss_result(5, (size_t[]){6,7,14,15,23}, 6),
compute_gauss_result(5, (size_t[]){8,16,17,24,25}, 7),
compute_gauss_result(5, (size_t[]){10,17,19,25,26}, 8),
compute_gauss_result(5, (size_t[]){10,11,19,20,26}, 9),
compute_gauss_result(5, (size_t[]){11,12,19,20,21}, 10),
compute_gauss_result(5, (size_t[]){12,13,20,21,22}, 11),
compute_gauss_result(5, (size_t[]){13,14,21,22,23}, 12),
compute_gauss_result(5, (size_t[]){14,15,22,23,31}, 13),
compute_gauss_result(5, (size_t[]){16,17,24,25,26}, 14),
compute_gauss_result(5, (size_t[]){17,19,25,26,34}, 15),
compute_gauss_result(5, (size_t[]){19,20,26,28,35}, 16),
compute_gauss_result(5, (size_t[]){19,20,21,28,29}, 17),
compute_gauss_result(5, (size_t[]){20,21,28,29,30}, 18),
compute_gauss_result(5, (size_t[]){21,22,29,30,31}, 19),
compute_gauss_result(5, (size_t[]){22,23,30,31,39}, 20),
compute_gauss_result(5, (size_t[]){24,25,32,33,34}, 21),
compute_gauss_result(5, (size_t[]){25,26,33,34,35}, 22),
compute_gauss_result(5, (size_t[]){26,28,34,35,43}, 23),
compute_gauss_result(5, (size_t[]){28,29,35,37,44}, 24),
compute_gauss_result(5, (size_t[]){28,29,30,37,38}, 25),
compute_gauss_result(5, (size_t[]){29,30,37,38,39}, 26),
compute_gauss_result(5, (size_t[]){30,31,38,39,47}, 27),
compute_gauss_result(5, (size_t[]){32,33,40,41,42}, 28),
compute_gauss_result(5, (size_t[]){33,34,41,42,43}, 29),
compute_gauss_result(5, (size_t[]){34,35,42,43,44}, 30),
compute_gauss_result(5, (size_t[]){35,37,43,44,52}, 31),
compute_gauss_result(5, (size_t[]){37,38,44,46,53}, 32),
compute_gauss_result(5, (size_t[]){37,38,39,46,47}, 33),
compute_gauss_result(5, (size_t[]){38,39,46,47,55}, 34),
compute_gauss_result(5, (size_t[]){40,41,48,49,50}, 35),
compute_gauss_result(5, (size_t[]){41,42,49,50,51}, 36),
compute_gauss_result(5, (size_t[]){42,43,50,51,52}, 37),
compute_gauss_result(5, (size_t[]){43,44,51,52,53}, 38),
compute_gauss_result(5, (size_t[]){44,46,52,53,61}, 39),
compute_gauss_result(5, (size_t[]){46,47,53,55,62}, 40),
compute_gauss_result(5, (size_t[]){46,47,53,55,62}, 41),
compute_gauss_result(5, (size_t[]){48,49,56,57,58}, 42),
compute_gauss_result(5, (size_t[]){49,50,57,58,59}, 43),
compute_gauss_result(5, (size_t[]){50,51,58,59,60}, 44),
compute_gauss_result(5, (size_t[]){51,52,59,60,61}, 45),
compute_gauss_result(5, (size_t[]){52,53,60,61,62}, 46),
compute_gauss_result(5, (size_t[]){53,55,60,61,62}, 47),
compute_gauss_result(5, (size_t[]){47,53,55,61,62}, 48)},
{0,0,0,0,0,0,0,
0,0,0,0,0,0,0,
0,0,0,0,0,0,0,
0,0,0,0,0,0,0,
0,0,0,0,0,0,0,
0,0,0,0,0,0,0,
0,0,0,0,0,0,0}};
double ** tgt_data = xmalloc(collection_size * sizeof(*tgt_data));
for (size_t collection_idx = 0; collection_idx < collection_size;
++collection_idx)
tgt_data[collection_idx] =
xmalloc(grid_data.num_cells * sizeof(**tgt_data));
yac_interpolation_execute(interpolation, NULL, tgt_data);
for (size_t collection_idx = 0; collection_idx < collection_size;
++collection_idx)
for (size_t j = 0, offset = collection_idx * 49;
j < grid_data.num_cells; ++j)
if ((tgt_data[collection_idx][j] != 0.0) &&
(fabs((ref_tgt_field[i][j] + (double)offset) -
tgt_data[collection_idx][j]) > 1e-9))
PUT_ERR("wrong interpolation result");
for (size_t collection_idx = 0; collection_idx < collection_size;
++collection_idx)
free(tgt_data[collection_idx]);
free(tgt_data);
}
yac_interpolation_delete(interpolation);
}
}
}
for (size_t i = 0; i < num_stacks; ++i)
yac_interp_grid_delete(interp_grid);
}
struct yac_basic_grid * yac_basic_grid_new(char const *name, struct yac_basic_grid_data grid_data)
Definition basic_grid.c:45
size_t yac_basic_grid_add_coordinates_nocpy(struct yac_basic_grid *grid, enum yac_location location, yac_coordinate_pointer coordinates)
Definition basic_grid.c:203
struct yac_basic_grid * yac_basic_grid_empty_new(char const *name)
Definition basic_grid.c:58
void yac_basic_grid_delete(struct yac_basic_grid *grid)
Definition basic_grid.c:65
size_t yac_basic_grid_add_mask_nocpy(struct yac_basic_grid *grid, enum yac_location location, int const *mask, char const *mask_name)
Definition basic_grid.c:253
void yac_dist_grid_pair_delete(struct yac_dist_grid_pair *grid_pair)
Definition dist_grid.c:2957
struct yac_dist_grid_pair * yac_dist_grid_pair_new(struct yac_basic_grid *grid_a, struct yac_basic_grid *grid_b, MPI_Comm comm)
Definition dist_grid.c:2714
#define YAC_RAD
Definition geometry.h:30
static void LLtoXYZ_deg(double lon, double lat, double p_out[])
Definition geometry.h:304
static double get_vector_angle(double const a[3], double const b[3])
Definition geometry.h:364
void yac_interp_grid_delete(struct yac_interp_grid *interp_grid)
struct yac_interp_grid * yac_interp_grid_new(struct yac_dist_grid_pair *grid_pair, char const *src_grid_name, char const *tgt_grid_name, size_t num_src_fields, struct yac_interp_field const *src_fields, struct yac_interp_field const tgt_field)
Definition interp_grid.c:31
void yac_interp_method_delete(struct interp_method **method)
struct yac_interp_weights * yac_interp_method_do_search(struct interp_method **method, struct yac_interp_grid *interp_grid)
struct interp_method * yac_interp_method_fixed_new(double value)
struct interp_method * yac_interp_method_nnn_new(struct yac_nnn_config config)
@ YAC_INTERP_NNN_GAUSS
distance with Gauss weights of n source points
@ YAC_INTERP_NNN_AVG
average of n source points
@ YAC_INTERP_NNN_DIST
distance weighted average of n source points
@ YAC_INTERP_NNN_ZERO
all weights are set to zero
#define YAC_INTERP_NNN_GAUSS_SCALE_DEFAULT
struct yac_interpolation * yac_interp_weights_get_interpolation(struct yac_interp_weights *weights, enum yac_interp_weights_reorder_type reorder, size_t collection_size, double frac_mask_fallback_value, double scaling_factor, double scaling_summand)
void yac_interp_weights_delete(struct yac_interp_weights *weights)
yac_interp_weights_reorder_type
@ YAC_MAPPING_ON_TGT
weights will be applied at target processes
@ YAC_MAPPING_ON_SRC
weights will be appied at source processes
void yac_interpolation_execute(struct yac_interpolation *interp, double ***src_fields, double **tgt_field)
void yac_interpolation_delete(struct yac_interpolation *interp)
double const YAC_FRAC_MASK_NO_VALUE
@ YAC_LOC_CORNER
Definition location.h:15
@ YAC_LOC_CELL
Definition location.h:14
#define xmalloc(size)
Definition ppm_xfuncs.h:66
enum yac_location location
Definition basic_grid.h:18
struct yac_interp_field tgt_field
Definition interp_grid.c:26
size_t num_src_fields
Definition interp_grid.c:27
struct yac_dist_grid_pair * grid_pair
Definition interp_grid.c:25
char * src_grid_name
Definition interp_grid.c:23
struct yac_interp_field src_fields[]
Definition interp_grid.c:28
char * tgt_grid_name
Definition interp_grid.c:24
int main(int argc, char **argv)
double(* yac_coordinate_pointer)[3]
Definition yac_types.h:19