void test_trace_edge( const ecl_grid_type * grid) {
const int k = 1;
fault_block_layer_type * layer = fault_block_layer_alloc( grid , k );
double_vector_type * x_list = double_vector_alloc( 0,0);
double_vector_type * y_list = double_vector_alloc( 0,0);
fault_block_type * block = fault_block_layer_safe_get_block( layer , 99);
int_vector_type * cell_list = int_vector_alloc(0,0);
test_assert_false( fault_block_trace_edge( block , x_list , y_list , cell_list));
fault_block_add_cell( block , 0,0);
test_assert_true( fault_block_trace_edge( block , x_list , y_list , cell_list));
test_assert_int_equal( 4 , double_vector_size( x_list ));
test_assert_int_equal( 4 , double_vector_size( y_list ));
test_assert_double_equal( 0 , double_vector_iget( x_list , 0 ));
test_assert_double_equal( 1 , double_vector_iget( x_list , 1 ));
test_assert_double_equal( 1 , double_vector_iget( x_list , 2 ));
test_assert_double_equal( 0 , double_vector_iget( x_list , 3 ));
test_assert_double_equal( 0 , double_vector_iget( y_list , 0 ));
test_assert_double_equal( 0 , double_vector_iget( y_list , 1 ));
test_assert_double_equal( 1 , double_vector_iget( y_list , 2 ));
test_assert_double_equal( 1 , double_vector_iget( y_list , 3 ));
test_assert_int_equal( 1 , int_vector_size( cell_list ));
test_assert_int_equal( 0 , int_vector_iget( cell_list , 0));
int_vector_free( cell_list );
double_vector_free( x_list );
double_vector_free( y_list );
}
void test_approx_equal() {
double_vector_type * d1 = double_vector_alloc(0,0);
double_vector_type * d2 = double_vector_alloc(0,0);
double_vector_type * d3 = double_vector_alloc(0,0);
double_vector_append( d1 , 1.0 );
double_vector_append( d1 , 2.0 );
double_vector_append( d1 , 3.0 );
double_vector_append( d2 , 1.0 );
double_vector_append( d2 , 2.0 );
test_assert_false( double_vector_approx_equal( d1 , d2 ,1e-6));
double_vector_append( d2 , 3.0 );
test_assert_true( double_vector_approx_equal( d1 , d2 ,1e-6));
double_vector_append( d3 , 1.0 );
double_vector_append( d3 , 2.0 );
double_vector_append( d3 , 3.0 );
double_vector_scale( d3 , 1 + 1e-6 );
test_assert_true( double_vector_approx_equal( d1 , d3 ,1e-4));
test_assert_false( double_vector_approx_equal( d1 , d3 ,1e-8));
double_vector_free(d1);
double_vector_free(d2);
double_vector_free(d3);
}
int enkf_config_node_load_obs( const enkf_config_node_type * config_node , enkf_obs_type * enkf_obs ,const char * key_index , int obs_count , time_t * _sim_time , double * _y , double * _std) {
ert_impl_type impl_type = enkf_config_node_get_impl_type(config_node);
int num_obs = 0;
int iobs;
for (iobs = 0; iobs < stringlist_get_size( config_node->obs_keys ); iobs++) {
obs_vector_type * obs_vector = enkf_obs_get_vector( enkf_obs , stringlist_iget( config_node->obs_keys , iobs));
int report_step = -1;
while (true) {
report_step = obs_vector_get_next_active_step( obs_vector , report_step);
if (report_step == -1) break;
{
bool valid;
double value , std1;
/**
The user index used when calling the user_get function on the
gen_obs data type is different depending on whether is called with a
data context user_key (as here) or with a observation context
user_key (as when plotting an observation plot). See more
documentation of the function gen_obs_user_get_data_index().
*/
if (impl_type == GEN_DATA)
gen_obs_user_get_with_data_index( obs_vector_iget_node( obs_vector , report_step ) , key_index , &value , &std1 , &valid);
else
obs_vector_user_get( obs_vector , key_index , report_step , &value , &std1 , &valid);
if (valid) {
if (obs_count > 0) {
_sim_time[num_obs] = enkf_obs_iget_obs_time( enkf_obs , report_step );
_y[num_obs] = value;
_std[num_obs] = std1;
}
num_obs++;
}
}
}
}
/* Sorting the observations in time order. */
if (obs_count > 0) {
double_vector_type * y = double_vector_alloc_shared_wrapper( 0 , 0 , _y , obs_count );
double_vector_type * std = double_vector_alloc_shared_wrapper( 0 , 0 , _std , obs_count );
time_t_vector_type * sim_time = time_t_vector_alloc_shared_wrapper( 0 , 0 , _sim_time , obs_count );
int * sort_perm = time_t_vector_alloc_sort_perm( sim_time );
time_t_vector_permute( sim_time , sort_perm );
double_vector_permute( y , sort_perm );
double_vector_permute( std , sort_perm );
free( sort_perm );
double_vector_free( y );
double_vector_free( std );
time_t_vector_free( sim_time );
}
return num_obs;
}
void well_rate_free( well_rate_type * well_rate ) {
free( well_rate->name );
double_vector_free( well_rate->shift );
double_vector_free( well_rate->mean_shift );
double_vector_free( well_rate->std_shift );
double_vector_free( well_rate->base_value );
bool_vector_free( well_rate->percent_std );
free( well_rate );
}
void group_rate_free( group_rate_type * group_rate ) {
free( group_rate->name );
double_vector_free( group_rate->shift );
double_vector_free( group_rate->base_rate );
double_vector_free( group_rate->min_shift );
double_vector_free( group_rate->max_shift );
vector_free( group_rate->well_rates );
free( group_rate );
}
int ecl_sum_data_get_report_step_from_days(const ecl_sum_data_type * data , double sim_days) {
if ((sim_days < data->days_start) || (sim_days > data->sim_length))
return -1;
else {
int report_step = -1;
double_vector_type * days_map = double_vector_alloc( 0 , 0 );
int_vector_type * report_map = int_vector_alloc( 0 , 0 );
int i;
for (i=1; i < int_vector_size( data->report_last_index ); i++) {
int ministep_index = int_vector_iget( data->report_last_index , i );
const ecl_sum_tstep_type * ministep = vector_iget_const( data->data , ministep_index );
double_vector_iset( days_map , i , ecl_sum_tstep_get_sim_days( ministep ));
int_vector_iset( report_map , i , ecl_sum_tstep_get_report( ministep ));
}
{
/** Hmmmm - double == comparison ... */
int index = double_vector_index_sorted( days_map , sim_days );
if (index >= 0)
report_step = int_vector_iget( report_map , index );
}
int_vector_free( report_map );
double_vector_free( days_map );
return report_step;
}
}
void test_content() {
rng_type * rng = rng_alloc(MZRAN , INIT_DEFAULT);
matrix_type * PC = matrix_alloc( 3 , 10);
matrix_type * PC_obs = matrix_alloc( 3 , 1 );
double_vector_type * singular_values = double_vector_alloc(3 , 1);
matrix_random_init( PC , rng );
matrix_random_init( PC_obs , rng );
{
pca_plot_data_type * data = pca_plot_data_alloc("KEY" , PC , PC_obs, singular_values);
for (int i=0; i < matrix_get_rows( PC ); i++) {
const pca_plot_vector_type * vector = pca_plot_data_iget_vector( data , i );
test_assert_double_equal( matrix_iget( PC_obs , i , 0) ,
pca_plot_vector_get_obs_value( vector ) );
test_assert_double_equal( double_vector_iget( singular_values , i),
pca_plot_vector_get_singular_value( vector ) );
for (int j=0; j < matrix_get_columns( PC ); j++)
test_assert_double_equal( matrix_iget( PC , i , j ) , pca_plot_vector_iget_sim_value( vector , j ));
test_assert_int_equal( matrix_get_columns( PC ) , pca_plot_vector_get_size( vector ));
}
pca_plot_data_free( data );
}
double_vector_free( singular_values );
matrix_free( PC );
matrix_free( PC_obs );
}
void data_ranking_free( data_ranking_type * ranking ) {
double_vector_free( ranking->data_ensemble );
bool_vector_free( ranking->valid );
util_safe_free( ranking->sort_permutation );
util_safe_free( ranking->user_key );
free( ranking );
}
void test_insert_double() {
double_vector_type * vec = double_vector_alloc(0,0);
double_vector_append( vec , 1 );
double_vector_insert( vec , 0 , 0 );
test_assert_double_equal( 0 , double_vector_iget( vec , 0 ));
test_assert_double_equal( 1 , double_vector_iget( vec , 1 ));
double_vector_free( vec );
}
pca_plot_data_type * create_data() {
matrix_type * PC = matrix_alloc( 3 , 10);
matrix_type * PC_obs = matrix_alloc( 3 , 1 );
double_vector_type * singular_values = double_vector_alloc(3 , 1);
pca_plot_data_type * data = pca_plot_data_alloc("KEY" , PC , PC_obs , singular_values);
double_vector_free( singular_values );
matrix_free( PC );
matrix_free( PC_obs );
return data;
}
void test_update_vector() {
plot_range_type * range = plot_range_alloc();
double_vector_type * xl = double_vector_alloc(0,0);
double_vector_type * yl = double_vector_alloc(0,0);
const int N = 100;
int i;
for (i=0; i < N; i++) {
double x = 2*3.14159265 * i / (N - 1);
double_vector_append( xl , sin(x));
double_vector_append( yl , cos(x));
}
plot_range_update_vector( range , xl , yl );
test_assert_double_equal( plot_range_get_current_xmin( range ) , -1 );
test_assert_double_equal( plot_range_get_current_xmax( range ) , 1 );
test_assert_double_equal( plot_range_get_current_ymin( range ) , -1 );
test_assert_double_equal( plot_range_get_current_ymax( range ) , 1 );
for (i=0; i < N; i++) {
double x = 2*3.14159265 * i / (N - 1);
double_vector_append( xl , 2*sin(x));
double_vector_append( yl , 2*cos(x));
}
plot_range_update_vector_x( range , xl );
plot_range_update_vector_y( range , yl );
test_assert_double_equal( plot_range_get_current_xmin( range ) , -2 );
test_assert_double_equal( plot_range_get_current_xmax( range ) , 2 );
test_assert_double_equal( plot_range_get_current_ymin( range ) , -2 );
test_assert_double_equal( plot_range_get_current_ymax( range ) , 2 );
plot_range_free( range );
double_vector_free( xl );
double_vector_free( yl );
}
time_t_vector_type * ecl_sum_alloc_time_solution( const ecl_sum_type * ecl_sum , const char * gen_key , double cmp_value , bool rates_clamp_lower) {
time_t_vector_type * solution = time_t_vector_alloc( 0 , 0);
{
double_vector_type * seconds = ecl_sum_alloc_seconds_solution( ecl_sum , gen_key , cmp_value , rates_clamp_lower );
time_t start_time = ecl_sum_get_start_time(ecl_sum);
for (int i=0; i < double_vector_size( seconds ); i++) {
time_t t = start_time;
util_inplace_forward_seconds( &t , double_vector_iget( seconds , i ));
time_t_vector_append( solution , t );
}
double_vector_free( seconds );
}
return solution;
}
void test_create_vector() {
matrix_type * PC = matrix_alloc( 3 , 10);
matrix_type * PC_obs = matrix_alloc( 3 , 1 );
double_vector_type * singular_values = double_vector_alloc(3 , 1);
{
pca_plot_vector_type * vector = pca_plot_vector_alloc(0 , PC , PC_obs, singular_values);
test_assert_true( pca_plot_vector_is_instance( vector ));
pca_plot_vector_free( vector );
}
double_vector_free( singular_values );
matrix_free( PC );
matrix_free( PC_obs );
}
void test_range_fill_double() {
double_vector_type * double_vector = double_vector_alloc(0,0);
double_vector_range_fill( double_vector , 1,2,10 ); /* 1 , 3 , 5 , 7 , 9 */
test_assert_double_equal( double_vector_size( double_vector ), 5);
test_assert_double_equal( double_vector_iget( double_vector , 0 ) , 1 );
test_assert_double_equal( double_vector_iget( double_vector , 1 ) , 3 );
test_assert_double_equal( double_vector_iget( double_vector , 2 ) , 5 );
test_assert_double_equal( double_vector_iget( double_vector , 3 ) , 7 );
test_assert_double_equal( double_vector_iget( double_vector , 4 ) , 9 );
double_vector_range_fill( double_vector , 3,3,9 ); /* 3,6,9 */
test_assert_double_equal( double_vector_size( double_vector ), 3);
test_assert_double_equal( double_vector_iget( double_vector , 0 ) , 3 );
test_assert_double_equal( double_vector_iget( double_vector , 1 ) , 6 );
test_assert_double_equal( double_vector_iget( double_vector , 2 ) , 9 );
double_vector_free( double_vector );
}
void test_create_data() {
matrix_type * PC = matrix_alloc( 3 , 10);
matrix_type * PC_obs = matrix_alloc( 3 , 1 );
double_vector_type * singular_values = double_vector_alloc(3 , 1);
{
pca_plot_data_type * data = pca_plot_data_alloc("KEY" , PC , PC_obs , singular_values);
test_assert_true( pca_plot_data_is_instance( data ));
test_assert_int_equal( 3 , pca_plot_data_get_size( data ));
test_assert_int_equal( 10 , pca_plot_data_get_ens_size( data ));
test_assert_string_equal( "KEY" , pca_plot_data_get_name( data ));
pca_plot_data_free( data );
}
matrix_resize( PC , 4 , 10 , false);
test_assert_NULL( pca_plot_data_alloc( "KEY" , PC , PC_obs , singular_values));
matrix_resize( PC_obs , 3 , 2 , false);
test_assert_NULL( pca_plot_data_alloc( "KEY" , PC , PC_obs , singular_values));
double_vector_free( singular_values );
matrix_free( PC );
matrix_free( PC_obs );
}
static void misfit_ts_free( misfit_ts_type * misfit_ts) {
double_vector_free( misfit_ts->data );
free( misfit_ts );
}
bool obs_vector_load_from_HISTORY_OBSERVATION(obs_vector_type * obs_vector ,
const conf_instance_type * conf_instance ,
const history_type * history ,
ensemble_config_type * ensemble_config,
double std_cutoff ) {
if(!conf_instance_is_of_class(conf_instance, "HISTORY_OBSERVATION"))
util_abort("%s: internal error. expected \"HISTORY_OBSERVATION\" instance, got \"%s\".\n",__func__, conf_instance_get_class_name_ref(conf_instance) );
{
bool initOK = false;
int size , restart_nr;
double_vector_type * value = double_vector_alloc(0,0);
double_vector_type * std = double_vector_alloc(0,0);
bool_vector_type * valid = bool_vector_alloc(0 , false);
/* The auto_corrf parameters can not be "segmentized" */
double auto_corrf_param = -1;
const char * auto_corrf_name = NULL;
double error = conf_instance_get_item_value_double(conf_instance, "ERROR" );
double error_min = conf_instance_get_item_value_double(conf_instance, "ERROR_MIN" );
const char * error_mode = conf_instance_get_item_value_ref( conf_instance, "ERROR_MODE");
const char * sum_key = conf_instance_get_name_ref( conf_instance );
if(conf_instance_has_item(conf_instance, "AUTO_CORRF")) {
auto_corrf_name = conf_instance_get_item_value_ref( conf_instance , "AUTO_CORRF");
auto_corrf_param = conf_instance_get_item_value_double(conf_instance, "AUTO_CORRF_PARAM");
if(conf_instance_has_item(conf_instance, "AUTO_CORRF_PARAM"))
auto_corrf_param = conf_instance_get_item_value_double(conf_instance, "AUTO_CORRF_PARAM");
else
util_abort("%s: When specifying AUTO_CORRF you must also give a vlaue for AUTO_CORRF_PARAM",__func__);
}
// Get time series data from history object and allocate
size = history_get_last_restart(history);
if (history_init_ts( history , sum_key , value , valid )) {
// Create the standard deviation vector
if(strcmp(error_mode, "ABS") == 0) {
for( restart_nr = 0; restart_nr < size; restart_nr++)
double_vector_iset( std , restart_nr , error );
} else if(strcmp(error_mode, "REL") == 0) {
for( restart_nr = 0; restart_nr < size; restart_nr++)
double_vector_iset( std , restart_nr , error * abs( double_vector_iget( value , restart_nr )));
} else if(strcmp(error_mode, "RELMIN") == 0) {
for(restart_nr = 0; restart_nr < size; restart_nr++) {
double tmp_std = util_double_max( error_min , error * abs( double_vector_iget( value , restart_nr )));
double_vector_iset( std , restart_nr , tmp_std);
}
} else
util_abort("%s: Internal error. Unknown error mode \"%s\"\n", __func__, error_mode);
// Handle SEGMENTs which can be used to customize the observation error. */
{
stringlist_type * segment_keys = conf_instance_alloc_list_of_sub_instances_of_class_by_name(conf_instance, "SEGMENT");
stringlist_sort( segment_keys , NULL );
int num_segments = stringlist_get_size(segment_keys);
for(int segment_nr = 0; segment_nr < num_segments; segment_nr++)
{
const char * segment_name = stringlist_iget(segment_keys, segment_nr);
const conf_instance_type * segment_conf = conf_instance_get_sub_instance_ref(conf_instance, segment_name);
int start = conf_instance_get_item_value_int( segment_conf, "START" );
int stop = conf_instance_get_item_value_int( segment_conf, "STOP" );
double error_segment = conf_instance_get_item_value_double(segment_conf, "ERROR" );
double error_min_segment = conf_instance_get_item_value_double(segment_conf, "ERROR_MIN" );
const char * error_mode_segment = conf_instance_get_item_value_ref( segment_conf, "ERROR_MODE");
if(start < 0)
{
printf("%s: WARNING - Segment out of bounds. Truncating start of segment to 0.\n", __func__);
start = 0;
}
if(stop >= size)
{
printf("%s: WARNING - Segment out of bounds. Truncating end of segment to %d.\n", __func__, size - 1);
stop = size -1;
}
if(start > stop)
{
printf("%s: WARNING - Segment start after stop. Truncating end of segment to %d.\n", __func__, start );
stop = start;
}
// Create the standard deviation vector
if(strcmp(error_mode_segment, "ABS") == 0) {
for( restart_nr = start; restart_nr <= stop; restart_nr++)
double_vector_iset( std , restart_nr , error_segment) ;
} else if(strcmp(error_mode_segment, "REL") == 0) {
for( restart_nr = start; restart_nr <= stop; restart_nr++)
double_vector_iset( std , restart_nr , error_segment * abs(double_vector_iget( value , restart_nr)));
} else if(strcmp(error_mode_segment, "RELMIN") == 0) {
for(restart_nr = start; restart_nr <= stop ; restart_nr++) {
double tmp_std = util_double_max( error_min_segment , error_segment * abs( double_vector_iget( value , restart_nr )));
double_vector_iset( std , restart_nr , tmp_std);
}
} else
util_abort("%s: Internal error. Unknown error mode \"%s\"\n", __func__, error_mode);
}
stringlist_free(segment_keys);
}
/*
This is where the summary observations are finally added.
*/
for (restart_nr = 0; restart_nr < size; restart_nr++) {
if (bool_vector_safe_iget( valid , restart_nr)) {
if (double_vector_iget( std , restart_nr) > std_cutoff) {
obs_vector_add_summary_obs( obs_vector , restart_nr , sum_key , sum_key ,
double_vector_iget( value ,restart_nr) , double_vector_iget( std , restart_nr ) ,
auto_corrf_name , auto_corrf_param);
} else
fprintf(stderr,"** Warning: to small observation error in observation %s:%d - ignored. \n", sum_key , restart_nr);
}
}
initOK = true;
}
double_vector_free(std);
double_vector_free(value);
bool_vector_free(valid);
return initOK;
}
}
void sum_case_free( sum_case_type * sum_case) {
ecl_sum_free( sum_case->ecl_sum );
double_vector_free( sum_case->interp_data );
free( sum_case );
}
void geo_polygon_free( geo_polygon_type * polygon ) {
double_vector_free( polygon->xcoord );
double_vector_free( polygon->ycoord );
free( polygon );
}
void geo_polygon_free( geo_polygon_type * polygon ) {
double_vector_free( polygon->xcoord );
double_vector_free( polygon->ycoord );
util_safe_free( polygon->name );
free( polygon );
}
void misfit_ranking_free( misfit_ranking_type * misfit_ranking ) {
vector_free( misfit_ranking->ensemble );
double_vector_free( misfit_ranking->total );
util_safe_free( misfit_ranking->sort_permutation );
free( misfit_ranking );
}
void summary_free(summary_type *summary) {
double_vector_free( summary->forecast_vector );
double_vector_free( summary->analyzed_vector );
free(summary->data);
free(summary);
}
