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/*
* sum_var.c
*
* Created on: 14/03/2017
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* Author: pedro
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*/
#ifndef __OPENCL_VERSION__
#include <stddef.h>
#include <stdio.h>
#include "sum_var.h"
#include "../bitmaps.h"
#include "../config.h"
#include "../variables.h"
#endif
#include "../kernels/cl_aux_functions.h"
#if CL_D_TYPE == CL_BITMAP
#include "../kernels/cl_bitmaps.h"
#elif CL_D_TYPE == CL_INTERVAL
#include "../kernels/cl_intervals.h"
#endif
#include "../kernels/cl_constraints.h"
#include "../kernels/cl_variables.h"
#include "../kernels/cl_ttl.h"
#ifndef __OPENCL_VERSION__
/*
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* Creates a new constraint of the sum_var_ type and return the constraint ID
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* sum(X, y)
* X_ids - vector with the ID of the variables that may contain the value of y
* n_vs - maximum number of variables in X vector
* y_id - ID of the variable that contains the sum of all the variables in X
*/
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unsigned int c_sum_var(unsigned int* X_ids, unsigned int n_vs, unsigned int y_id) {
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unsigned int i;
// set to include in kernel compilation
USE_CS[SUM_VAR] = 1;
USE_NON_CS_REIFI[SUM_VAR] = 1;
REV = 1;
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unsigned int* c_vs = malloc((n_vs + 1) * sizeof(unsigned int));
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for (i = 0; i < n_vs; i++) {
c_vs[i] = X_ids[i];
}
c_vs[n_vs] = y_id;
// creates a new generic constraint
unsigned int c_id = c_new(c_vs, n_vs + 1, NULL, 0, -1);
// pointers to this type of constraint functions
CS[c_id].kind = SUM_VAR;
CS[c_id].check_sol_f = &sum_var_check;
CS[c_id].constant_val = 0;
CS[c_id].boolean = true;
for (i = 0; i < n_vs; i++) {
if (!VS[c_vs[i]].boolean) {
CS[c_id].boolean = false;
}
}
free(c_vs);
return c_id;
}
/*
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* Creates a new reified constraint of the sum_var_ type and return the constraint ID
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* sum(X, y)
* X_ids - vector with the ID of the variables that may contain the value of y
* n_vs - maximum number of variables in X vector
* y_id - ID of the variable that contains the sum of all the variables in X
* reif_v_id - ID of the reification variable
*/
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unsigned int c_sum_var_reif(unsigned int* X_ids, unsigned int n_vs, unsigned int y_id, int reif_v_id) {
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unsigned int i;
if (VS[reif_v_id].max > 1) {
v_del_gt(&VS[reif_v_id], 1);
if (VS[reif_v_id].n_vals == 0) {
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fprintf(stderr, "\nError: Constraint SUM_VAR_REIF makes model inconsistent at creation:\n");
exit(-1);
}
}
// set to include in kernel compilation
USE_CS[SUM_VAR] = 1;
USE_CS_REIFI[SUM_VAR] = 1;
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REV = 1;
unsigned int* c_vs = malloc((n_vs + 1) * sizeof(unsigned int));
for (i = 0; i < n_vs; i++) {
c_vs[i] = X_ids[i];
}
c_vs[n_vs] = y_id;
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// creates a new generic constraint
unsigned int c_id = c_new(c_vs, n_vs + 1, NULL, 0, reif_v_id);
// pointers to this type of constraint functions
CS[c_id].kind = SUM_VAR;
CS[c_id].check_sol_f = &sum_var_check;
CS[c_id].constant_val = 0;
free(c_vs);
return c_id;
}
/*
* Return true if the sum_var_ constraint is respected or false if not
* sum(X, y)
* c - constraint to check if is respected
* explored - if the CSP was already explored, which mean that all the variables must already be singletons
* */
bool sum_var_check(constr* c, bool explored) {
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var** X = c->c_vs;
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var* y = c->c_vs[c->n_c_vs - 1];
var* x;
int sum = 0;
int i;
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for (i = 0; i < c->n_c_vs - 1; i++) {
x = X[i];
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#if CHECK_SOL_N_VALS
if (x->to_label && x->n_vals != 1) {
if (explored) {
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fprintf(stderr, "\nError: Constraint SUM_VAR (%d) not respected:\n", c->c_id);
for (i = 0; i < c->n_c_vs; i++) {
fprintf(stderr, "Variable ID=%u -> minimum=%u, maximum=%u, number of values=%u\n\n", c->c_vs[i]->v_id, b_get_min_val(&c->c_vs[i]->domain_b),
b_get_max_val(&c->c_vs[i]->domain_b), b_cnt_vals(&c->c_vs[i]->domain_b));
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}
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}
return false;
}
#endif
sum += x->min;
}
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if (
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#if CHECK_SOL_N_VALS
(y->to_label && y->n_vals != 1) ||
#endif
sum != y->min) {
if (explored) {
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fprintf(stderr, "\nError: Constraint SUM_VAR (%d) not respected:\n", c->c_id);
for (i = 0; i < c->n_c_vs; i++) {
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fprintf(stderr, "Variable ID=%u -> minimum=%u, maximum=%u, number of values=%u\n\n", c->c_vs[i]->v_id, b_get_min_val(&c->c_vs[i]->domain_b),
b_get_max_val(&c->c_vs[i]->domain_b), b_cnt_vals(&c->c_vs[i]->domain_b));
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}
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}
return false;
}
return true;
}
#endif
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#if CS_SUM_VAR == 1
/*
* Propagate the domain of the variable with the ID prop_v_id through all the other variables on the same c_numb ID sum_var constraint
* sum(X, y)
* prop_ok will be set to 1 if success or to 0 if any domain became empty
* vs_per_c_idx - vector with all constrained variables ID per constraint, per constraint ID order
* vs_prop_ - all CSP variables with current step values
* prop_v_id - variable ID to propagate
* current_cs - constraint that should be propagated for the variable with prop_v_id ID
* vs_id_to_prop_ - circular vector with the ids of the variables to propagate
*/
CUDA_FUNC void sum_var_prop(CL_INTS_MEM int* vs_per_c_idx, CL_MEMORY VARS_PROP* vs_prop_, CL_CS_MEM cl_constr* current_cs, CL_MEMORY unsigned short* vs_id_to_prop_,
bool* prop_ok, __global int* terms_mem CS_IGNORE_FUNC TTL_CTR) {
int y_idx = current_cs->n_c_vs - 1;
int y_id = vs_per_c_idx[y_idx];
int x_id;
__global int* mins = terms_mem;
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__global int* maxs = &terms_mem[current_cs->n_c_vs];
int min, max;
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int val_to_rmv;
bool changed = 0;
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int i;
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mins[y_idx] = V_MIN(vs_prop_[y_id]);
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maxs[y_idx] = V_MAX(vs_prop_[y_id]);
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// if the sum of the minimums of x is greater than maximum of y
// if the sum of the maximums of x is lesser than the minimum of y
min = 0;
max = 0;
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for (i = 0; i < y_idx; i++) {
CHECK_TTL(ttl_ctr, 96)
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x_id = vs_per_c_idx[i];
min += mins[i] = V_MIN(vs_prop_[x_id]);
max += maxs[i] = V_MAX(vs_prop_[x_id]);
}
if (min > maxs[y_idx] || max < mins[y_idx]) {
*prop_ok = 0;
return;
}
// set all X because their min values sum is equal to the y max
if (min == maxs[y_idx]) {
for (i = 0; i < y_idx; i++) {
CHECK_TTL(ttl_ctr, 167)
x_id = vs_per_c_idx[i];
if (V_N_VALS(vs_prop_[x_id]) > 1) {
cl_v_del_all_except_val_m(&changed, &vs_prop_[x_id], mins[i] TTL_CTR_V);
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v_add_to_prop(vs_id_to_prop_, vs_prop_, x_id);
}
}
if (V_N_VALS(vs_prop_[y_id]) > 1) {
cl_v_del_all_except_val_m(&changed, &vs_prop_[y_id], maxs[y_idx] TTL_CTR_V);
v_add_to_prop(vs_id_to_prop_, vs_prop_, y_id);
}
#if CL_CS_IGNORE
cs_ignore[current_cs->c_id] = 1;
#endif
return;
}
// set all X because their max values sum is equal to the y min
if (max == mins[y_idx]) {
for (i = 0; i < y_idx; ++i) {
CHECK_TTL(ttl_ctr, 168)
x_id = vs_per_c_idx[i];
if (V_N_VALS(vs_prop_[x_id]) > 1) {
cl_v_del_all_except_val_m(&changed, &vs_prop_[x_id], maxs[i] TTL_CTR_V);
v_add_to_prop(vs_id_to_prop_, vs_prop_, x_id);
}
}
if (V_N_VALS(vs_prop_[y_id]) > 1) {
cl_v_del_all_except_val_m(&changed, &vs_prop_[y_id], mins[y_idx] TTL_CTR_V);
v_add_to_prop(vs_id_to_prop_, vs_prop_, y_id);
}
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#if CL_CS_IGNORE
cs_ignore[current_cs->c_id] = 1;
#endif
return;
}
// remove bounds from all x
#if CL_BOOLEAN_VS
if (current_cs->boolean == 0) { // not all X are boolean
#endif
for (i = 0; i < y_idx; i++) {
CHECK_TTL(ttl_ctr, 98)
x_id = vs_per_c_idx[i];
changed = 0;
if (V_N_VALS(vs_prop_[x_id]) > 1) {
val_to_rmv = mins[i] + maxs[y_idx] - min;
if (val_to_rmv < maxs[i]) {
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min -= mins[i];
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max -= maxs[i];
cl_v_del_gt_m(&changed, &vs_prop_[x_id], val_to_rmv TTL_CTR_V);
if (V_IS_EMPTY(vs_prop_[x_id])) {
*prop_ok = 0;
return;
}
v_add_to_prop(vs_id_to_prop_, vs_prop_, x_id);
min += mins[i] = V_MIN(vs_prop_[x_id]);
max += maxs[i] = V_MAX(vs_prop_[x_id]);
}
val_to_rmv = maxs[i] - (max - mins[y_idx]);
if (val_to_rmv > mins[i]) {
min -= mins[i];
max -= maxs[i];
cl_v_del_lt_m(&changed, &vs_prop_[x_id], val_to_rmv TTL_CTR_V);
if (V_IS_EMPTY(vs_prop_[x_id])) {
*prop_ok = 0;
return;
}
v_add_to_prop(vs_id_to_prop_, vs_prop_, x_id);
min += mins[i] = V_MIN(vs_prop_[x_id]);
max += maxs[i] = V_MAX(vs_prop_[x_id]);
}
}
}
#if CL_BOOLEAN_VS
}
#endif
if (min > mins[y_idx]) {
cl_v_del_lt_m(&changed, &vs_prop_[y_id], min TTL_CTR_V);
if (V_IS_EMPTY(vs_prop_[y_id])) {
*prop_ok = 0;
return;
}
v_add_to_prop(vs_id_to_prop_, vs_prop_, y_id);
}
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if (max < maxs[y_idx]) {
cl_v_del_gt_m(&changed, &vs_prop_[y_id], max TTL_CTR_V);
if (V_IS_EMPTY(vs_prop_[y_id])) {
*prop_ok = 0;
return;
}
v_add_to_prop(vs_id_to_prop_, vs_prop_, y_id);
}
}
#if CS_R_SUM_VAR == 1
/*
* Validate sum_var constraint to be normally propagated, when reified
* sum(X, y)
* vs_per_c_idx - vector with all constrained variables ID per constraint, per constraint ID order
* vs_prop_ - all CSP variables with current step values
* current_cs - constraint that should be propagated for the variable with prop_v_id ID
* vs_id_to_prop_ - circular vector with the ids of the variables to propagate
*/
CUDA_FUNC void sum_var_reif( CL_INTS_MEM int* vs_per_c_idx, CL_MEMORY VARS_PROP* vs_prop_, CL_CS_MEM cl_constr* current_cs, CL_MEMORY unsigned short* vs_id_to_prop_,
__global int* terms_mem CS_IGNORE_FUNC TTL_CTR) {
int sum = current_cs->n_c_vs - 1;
int y_id = vs_per_c_idx[sum];
VARS_PROP y;
int x_id;
VARS_PROP x;
__global int* mins = terms_mem;
__global int* maxs = &terms_mem[current_cs->n_c_vs];
int min, max;
bool changed = 0;
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bool all_singl = true;
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int i;
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mins[sum] = V_MIN(vs_prop_[y_id]);
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maxs[sum] = V_MAX(vs_prop_[y_id]);
// if the sum of the minimums of x is greater than maximum of y
min = 0;
for (i = 0; i < sum; i++) {
CHECK_TTL(ttl_ctr, 99)
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min += mins[i] = V_MIN(vs_prop_[i]);
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if (V_N_VALS(vs_prop_[i]) != 1) {
all_singl = false;
}
if (min > maxs[sum]) {
cl_v_bool_del_val_m(&vs_prop_[current_cs->reif_var_id], 1 TTL_CTR_V);
v_add_to_prop(vs_id_to_prop_, vs_prop_, convert_int(current_cs->reif_var_id));
#if CL_CS_IGNORE
cs_ignore[current_cs->c_id] = 1;
#endif
return;
}
}
if (V_N_VALS(vs_prop_[y_id]) == 1 && all_singl && min == V_MIN(vs_prop_[y_id])) {
cl_v_bool_del_val_m(&vs_prop_[current_cs->reif_var_id], 0 TTL_CTR_V);
v_add_to_prop(vs_id_to_prop_, vs_prop_, convert_int(current_cs->reif_var_id));
#if CL_CS_IGNORE
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cs_ignore[current_cs->c_id] = 1;
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#endif
return;
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}
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// if the sum of the maximums of x is lesser than the minimum of y
max = 0;
for (i = 0; i < sum; i++) {
CHECK_TTL(ttl_ctr, 100)
max += maxs[i] = V_MAX(vs_prop_[i]);
}
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if (max < mins[sum]) {
cl_v_bool_del_val_m(&vs_prop_[current_cs->reif_var_id], 1 TTL_CTR_V);
v_add_to_prop(vs_id_to_prop_, vs_prop_, convert_int(current_cs->reif_var_id));
#if CL_CS_IGNORE
cs_ignore[current_cs->c_id] = 1;
#endif
return;
}
// remove bounds from all x
#if CL_BOOLEAN_VS
if (current_cs->boolean == 0) { // not all X are boolean
#endif
for (i = 0; i < sum; i++) {
CHECK_TTL(ttl_ctr, 101)
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x_id = vs_per_c_idx[i];
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cl_v_copy_pm(&x, &vs_prop_[x_id] TTL_CTR_V);
changed = 0;
if (V_N_VALS(vs_prop_[x_id]) > 1) {
if (mins[i] + maxs[sum] - min < maxs[i]) {
cl_v_del_gt_n(&changed, &x, mins[i] + maxs[sum] - min TTL_CTR_V);
changed = 1;
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}
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if (maxs[i] - (max - mins[sum]) > mins[i]) {
cl_v_del_lt_n(&changed, &x, maxs[i] - (max - mins[sum]) TTL_CTR_V);
changed = 1;
}
if (V_IS_EMPTY(x)) {
cl_v_bool_del_val_m(&vs_prop_[current_cs->reif_var_id], 1 TTL_CTR_V);
v_add_to_prop(vs_id_to_prop_, vs_prop_, convert_int(current_cs->reif_var_id));
return;
}
}
}
#if CL_BOOLEAN_VS
}
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#endif
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cl_v_copy_pm(&y, &vs_prop_[y_id] TTL_CTR_V);
if (min > mins[sum]) {
cl_v_del_lt_n(&changed, &y, min TTL_CTR_V);
if (V_IS_EMPTY(y)) {
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cl_v_bool_del_val_m(&vs_prop_[current_cs->reif_var_id], 1 TTL_CTR_V);
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v_add_to_prop(vs_id_to_prop_, vs_prop_, convert_int(current_cs->reif_var_id));
return;
}
}
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if (max < maxs[sum]) {
cl_v_del_gt_n(&changed, &y, max TTL_CTR_V);
if (V_IS_EMPTY(y)) {
cl_v_bool_del_val_m(&vs_prop_[current_cs->reif_var_id], 1 TTL_CTR_V);
v_add_to_prop(vs_id_to_prop_, vs_prop_, convert_int(current_cs->reif_var_id));
}
}
}
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/*
* Propagate the domain of the variable with the ID prop_v_id through all the other variables on the same c_numb ID sum_var opposite constraint
* !sum(X, y)
* vs_per_c_idx - vector with all constrained variables ID per constraint, per constraint ID order
* vs_prop_ - all CSP variables with current step values
* prop_v_id - variable ID to propagate
* current_cs - constraint that should be propagated for the variable with prop_v_id ID
* vs_id_to_prop_ - circular vector with the ids of the variables to propagate
*/
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CUDA_FUNC void sum_var_prop_opposite(CL_INTS_MEM int* vs_per_c_idx, CL_MEMORY VARS_PROP* vs_prop_, CL_CS_MEM cl_constr* current_cs, bool* prop_ok, __global int* terms_mem TTL_CTR) {
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int sum = current_cs->n_c_vs - 1;
int y_id = vs_per_c_idx[sum];
__global int* mins = terms_mem;
int min, max;
int i;
mins[sum] = V_MIN(vs_prop_[y_id]);
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// if the sum of the minimums of x is equal to y
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min = 0;
max = 0;
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for (i = 0; i < sum; i++) {
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CHECK_TTL(ttl_ctr, 228)
min += V_MIN(vs_prop_[i]);
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max += V_MAX(vs_prop_[i]);
}
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if (min == max && min == mins[sum] && V_N_VALS(vs_prop_[y_id]) == 1) {
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*prop_ok = 0;
return;
}
}
#endif
CUDA_FUNC void sum_var_propagate(CL_INTS_MEM int* vs_per_c_idx, CL_MEMORY VARS_PROP* vs_prop_, CL_CS_MEM cl_constr* current_cs, CL_MEMORY unsigned short* vs_id_to_prop_,
bool* prop_ok, __global int* terms_mem PROPAGATED_FUNC CS_IGNORE_FUNC TTL_CTR) {
#if CS_R_SUM_VAR == 0
sum_var_prop(vs_per_c_idx, vs_prop_, current_cs, vs_id_to_prop_, prop_ok, terms_mem CS_IGNORE_CALL TTL_CTR_V);
#if CL_STATS == 1
*propagated = true;
#endif
#elif CS_R_SUM_VAR == 1
if (current_cs->reified == 1) {
if (V_N_VALS(vs_prop_[current_cs->reif_var_id]) > 1) {
sum_var_reif(vs_per_c_idx, vs_prop_, current_cs, vs_id_to_prop_, terms_mem CS_IGNORE_CALL TTL_CTR_V);
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} else {
if (V_MIN(vs_prop_[current_cs->reif_var_id]) == 1) {
sum_var_prop(vs_per_c_idx, vs_prop_, current_cs, vs_id_to_prop_, prop_ok, terms_mem CS_IGNORE_CALL TTL_CTR_V);
} else {
sum_var_prop_opposite(vs_per_c_idx, vs_prop_, current_cs, prop_ok, terms_mem TTL_CTR_V);
}
#if CL_STATS == 1
*propagated = true;
#endif
}
} else {
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sum_var_prop(vs_per_c_idx, vs_prop_, current_cs, vs_id_to_prop_, prop_ok, terms_mem CS_IGNORE_CALL TTL_CTR_V);
#if CL_STATS == 1
*propagated = true;
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#endif
}
#endif
}
#endif
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