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abc/src/sat/bsat/satSolver.c

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/**************************************************************************************************
MiniSat -- Copyright (c) 2005, Niklas Sorensson
http://www.cs.chalmers.se/Cs/Research/FormalMethods/MiniSat/
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and
associated documentation files (the "Software"), to deal in the Software without restriction,
including without limitation the rights to use, copy, modify, merge, publish, distribute,
sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or
substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT
NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT
OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
**************************************************************************************************/
// Modified to compile with MS Visual Studio 6.0 by Alan Mishchenko
#include <stdio.h>
#include <assert.h>
#include <string.h>
#include <math.h>
#include "satSolver.h"
#include "satStore.h"
ABC_NAMESPACE_IMPL_START
#define SAT_USE_ANALYZE_FINAL
//=================================================================================================
// Debug:
//#define VERBOSEDEBUG
// For derivation output (verbosity level 2)
#define L_IND "%-*d"
#define L_ind sat_solver_dl(s)*2+2,sat_solver_dl(s)
#define L_LIT "%sx%d"
#define L_lit(p) lit_sign(p)?"~":"", (lit_var(p))
// Just like 'assert()' but expression will be evaluated in the release version as well.
static inline void check(int expr) { assert(expr); }
static void printlits(lit* begin, lit* end)
{
int i;
for (i = 0; i < end - begin; i++)
printf(L_LIT" ",L_lit(begin[i]));
}
//=================================================================================================
// Random numbers:
// Returns a random float 0 <= x < 1. Seed must never be 0.
static inline double drand(double* seed) {
int q;
*seed *= 1389796;
q = (int)(*seed / 2147483647);
*seed -= (double)q * 2147483647;
return *seed / 2147483647; }
// Returns a random integer 0 <= x < size. Seed must never be 0.
static inline int irand(double* seed, int size) {
return (int)(drand(seed) * size); }
//=================================================================================================
// Variable datatype + minor functions:
static const int var0 = 1;
static const int var1 = 0;
static const int varX = 3;
struct varinfo_t
{
unsigned val : 2; // variable value
unsigned pol : 1; // last polarity
unsigned tag : 1; // conflict analysis tag
unsigned lev : 28; // variable level
};
static inline int var_level (sat_solver* s, int v) { return s->levels[v]; }
static inline int var_value (sat_solver* s, int v) { return s->assigns[v]; }
static inline int var_polar (sat_solver* s, int v) { return s->polarity[v]; }
static inline void var_set_level (sat_solver* s, int v, int lev) { s->levels[v] = lev; }
static inline void var_set_value (sat_solver* s, int v, int val) { s->assigns[v] = val; }
static inline void var_set_polar (sat_solver* s, int v, int pol) { s->polarity[v] = pol; }
// variable tags
static inline int var_tag (sat_solver* s, int v) { return s->tags[v]; }
static inline void var_set_tag (sat_solver* s, int v, int tag) {
assert( tag > 0 && tag < 16 );
if ( s->tags[v] == 0 )
veci_push( &s->tagged, v );
s->tags[v] = tag;
}
static inline void var_add_tag (sat_solver* s, int v, int tag) {
assert( tag > 0 && tag < 16 );
if ( s->tags[v] == 0 )
veci_push( &s->tagged, v );
s->tags[v] |= tag;
}
static inline void solver2_clear_tags(sat_solver* s, int start) {
int i, * tagged = veci_begin(&s->tagged);
for (i = start; i < veci_size(&s->tagged); i++)
s->tags[tagged[i]] = 0;
veci_resize(&s->tagged,start);
}
int sat_solver_get_var_value(sat_solver* s, int v)
{
if ( var_value(s, v) == var0 )
return l_False;
if ( var_value(s, v) == var1 )
return l_True;
if ( var_value(s, v) == varX )
return l_Undef;
assert( 0 );
return 0;
}
//=================================================================================================
// Simple helpers:
static inline int sat_solver_dl(sat_solver* s) { return veci_size(&s->trail_lim); }
static inline veci* sat_solver_read_wlist(sat_solver* s, lit l) { return &s->wlists[l]; }
//=================================================================================================
// Variable order functions:
static inline void order_update(sat_solver* s, int v) // updateorder
{
int* orderpos = s->orderpos;
int* heap = veci_begin(&s->order);
int i = orderpos[v];
int x = heap[i];
int parent = (i - 1) / 2;
assert(s->orderpos[v] != -1);
while (i != 0 && s->activity[x] > s->activity[heap[parent]]){
heap[i] = heap[parent];
orderpos[heap[i]] = i;
i = parent;
parent = (i - 1) / 2;
}
heap[i] = x;
orderpos[x] = i;
}
static inline void order_assigned(sat_solver* s, int v)
{
}
static inline void order_unassigned(sat_solver* s, int v) // undoorder
{
int* orderpos = s->orderpos;
if (orderpos[v] == -1){
orderpos[v] = veci_size(&s->order);
veci_push(&s->order,v);
order_update(s,v);
//printf( "+%d ", v );
}
}
static inline int order_select(sat_solver* s, float random_var_freq) // selectvar
{
int* heap = veci_begin(&s->order);
int* orderpos = s->orderpos;
// Random decision:
if (drand(&s->random_seed) < random_var_freq){
int next = irand(&s->random_seed,s->size);
assert(next >= 0 && next < s->size);
if (var_value(s, next) == varX)
return next;
}
// Activity based decision:
while (veci_size(&s->order) > 0){
int next = heap[0];
int size = veci_size(&s->order)-1;
int x = heap[size];
veci_resize(&s->order,size);
orderpos[next] = -1;
if (size > 0){
int i = 0;
int child = 1;
while (child < size){
if (child+1 < size && s->activity[heap[child]] < s->activity[heap[child+1]])
child++;
assert(child < size);
if (s->activity[x] >= s->activity[heap[child]])
break;
heap[i] = heap[child];
orderpos[heap[i]] = i;
i = child;
child = 2 * child + 1;
}
heap[i] = x;
orderpos[heap[i]] = i;
}
if (var_value(s, next) == varX)
return next;
}
return var_Undef;
}
void sat_solver_set_var_activity(sat_solver* s, int * pVars, int nVars)
{
int i;
for (i = 0; i < s->size; i++)
s->activity[i] = 0;
if ( s->VarActType == 0 )
{
s->var_inc = (1 << 5);
s->var_decay = -1;
for ( i = 0; i < nVars; i++ )
{
int iVar = pVars ? pVars[i] : i;
s->activity[iVar] = s->var_inc*(nVars-i);
if (s->orderpos[iVar] != -1)
order_update( s, iVar );
}
}
else if ( s->VarActType == 1 )
{
s->var_inc = Abc_Dbl2Word(1);
for ( i = 0; i < nVars; i++ )
{
int iVar = pVars ? pVars[i] : i;
s->activity[iVar] = Abc_Dbl2Word(nVars-i);
if (s->orderpos[iVar] != -1)
order_update( s, iVar );
}
}
else assert( 0 );
}
//=================================================================================================
// variable activities
static inline void solver_init_activities(sat_solver* s)
{
// variable activities
s->VarActType = 0;
if ( s->VarActType == 0 )
{
s->var_inc = (1 << 5);
s->var_decay = -1;
}
else if ( s->VarActType == 1 )
{
s->var_inc = Abc_Dbl2Word(1.0);
s->var_decay = Abc_Dbl2Word(1.0 / 0.95);
}
else if ( s->VarActType == 2 )
{
s->var_inc = Xdbl_FromDouble(1.0);
s->var_decay = Xdbl_FromDouble(1.0 / 0.950);
}
else assert(0);
// clause activities
s->ClaActType = 0;
if ( s->ClaActType == 0 )
{
s->cla_inc = (1 << 11);
s->cla_decay = -1;
}
else
{
s->cla_inc = 1;
s->cla_decay = (float)(1 / 0.999);
}
}
static inline void act_var_rescale(sat_solver* s)
{
if ( s->VarActType == 0 )
{
word* activity = s->activity;
int i;
for (i = 0; i < s->size; i++)
activity[i] >>= 19;
s->var_inc >>= 19;
s->var_inc = Abc_MaxInt( (unsigned)s->var_inc, (1<<4) );
}
else if ( s->VarActType == 1 )
{
double* activity = (double*)s->activity;
int i;
for (i = 0; i < s->size; i++)
activity[i] *= 1e-100;
s->var_inc = Abc_Dbl2Word( Abc_Word2Dbl(s->var_inc) * 1e-100 );
//printf( "Rescaling var activity...\n" );
}
else if ( s->VarActType == 2 )
{
xdbl * activity = s->activity;
int i;
for (i = 0; i < s->size; i++)
activity[i] = Xdbl_Div( activity[i], 200 ); // activity[i] / 2^200
s->var_inc = Xdbl_Div( s->var_inc, 200 );
}
else assert(0);
}
static inline void act_var_bump(sat_solver* s, int v)
{
if ( s->VarActType == 0 )
{
s->activity[v] += s->var_inc;
if ((unsigned)s->activity[v] & 0x80000000)
act_var_rescale(s);
if (s->orderpos[v] != -1)
order_update(s,v);
}
else if ( s->VarActType == 1 )
{
double act = Abc_Word2Dbl(s->activity[v]) + Abc_Word2Dbl(s->var_inc);
s->activity[v] = Abc_Dbl2Word(act);
if (act > 1e100)
act_var_rescale(s);
if (s->orderpos[v] != -1)
order_update(s,v);
}
else if ( s->VarActType == 2 )
{
s->activity[v] = Xdbl_Add( s->activity[v], s->var_inc );
if (s->activity[v] > ABC_CONST(0x014c924d692ca61b))
act_var_rescale(s);
if (s->orderpos[v] != -1)
order_update(s,v);
}
else assert(0);
}
static inline void act_var_bump_global(sat_solver* s, int v)
{
if ( !s->pGlobalVars || !s->pGlobalVars[v] )
return;
if ( s->VarActType == 0 )
{
s->activity[v] += (int)((unsigned)s->var_inc * 3);
if (s->activity[v] & 0x80000000)
act_var_rescale(s);
if (s->orderpos[v] != -1)
order_update(s,v);
}
else if ( s->VarActType == 1 )
{
double act = Abc_Word2Dbl(s->activity[v]) + Abc_Word2Dbl(s->var_inc) * 3.0;
s->activity[v] = Abc_Dbl2Word(act);
if ( act > 1e100)
act_var_rescale(s);
if (s->orderpos[v] != -1)
order_update(s,v);
}
else if ( s->VarActType == 2 )
{
s->activity[v] = Xdbl_Add( s->activity[v], Xdbl_Mul(s->var_inc, Xdbl_FromDouble(3.0)) );
if (s->activity[v] > ABC_CONST(0x014c924d692ca61b))
act_var_rescale(s);
if (s->orderpos[v] != -1)
order_update(s,v);
}
else assert( 0 );
}
static inline void act_var_bump_factor(sat_solver* s, int v)
{
if ( !s->factors )
return;
if ( s->VarActType == 0 )
{
s->activity[v] += (int)((unsigned)s->var_inc * (float)s->factors[v]);
if (s->activity[v] & 0x80000000)
act_var_rescale(s);
if (s->orderpos[v] != -1)
order_update(s,v);
}
else if ( s->VarActType == 1 )
{
double act = Abc_Word2Dbl(s->activity[v]) + Abc_Word2Dbl(s->var_inc) * s->factors[v];
s->activity[v] = Abc_Dbl2Word(act);
if ( act > 1e100)
act_var_rescale(s);
if (s->orderpos[v] != -1)
order_update(s,v);
}
else if ( s->VarActType == 2 )
{
s->activity[v] = Xdbl_Add( s->activity[v], Xdbl_Mul(s->var_inc, Xdbl_FromDouble(s->factors[v])) );
if (s->activity[v] > ABC_CONST(0x014c924d692ca61b))
act_var_rescale(s);
if (s->orderpos[v] != -1)
order_update(s,v);
}
else assert( 0 );
}
static inline void act_var_decay(sat_solver* s)
{
if ( s->VarActType == 0 )
s->var_inc += (s->var_inc >> 4);
else if ( s->VarActType == 1 )
s->var_inc = Abc_Dbl2Word( Abc_Word2Dbl(s->var_inc) * Abc_Word2Dbl(s->var_decay) );
else if ( s->VarActType == 2 )
s->var_inc = Xdbl_Mul(s->var_inc, s->var_decay);
else assert(0);
}
// clause activities
static inline void act_clause_rescale(sat_solver* s)
{
if ( s->ClaActType == 0 )
{
unsigned* activity = (unsigned *)veci_begin(&s->act_clas);
int i;
for (i = 0; i < veci_size(&s->act_clas); i++)
activity[i] >>= 14;
s->cla_inc >>= 14;
s->cla_inc = Abc_MaxInt( s->cla_inc, (1<<10) );
}
else
{
float* activity = (float *)veci_begin(&s->act_clas);
int i;
for (i = 0; i < veci_size(&s->act_clas); i++)
activity[i] *= (float)1e-20;
s->cla_inc *= (float)1e-20;
}
}
static inline void act_clause_bump(sat_solver* s, clause *c)
{
if ( s->ClaActType == 0 )
{
unsigned* act = (unsigned *)veci_begin(&s->act_clas) + c->lits[c->size];
*act += s->cla_inc;
if ( *act & 0x80000000 )
act_clause_rescale(s);
}
else
{
float* act = (float *)veci_begin(&s->act_clas) + c->lits[c->size];
*act += s->cla_inc;
if (*act > 1e20)
act_clause_rescale(s);
}
}
static inline void act_clause_decay(sat_solver* s)
{
if ( s->ClaActType == 0 )
s->cla_inc += (s->cla_inc >> 10);
else
s->cla_inc *= s->cla_decay;
}
//=================================================================================================
// Sorting functions (sigh):
static inline void selectionsort(void** array, int size, int(*comp)(const void *, const void *))
{
int i, j, best_i;
void* tmp;
for (i = 0; i < size-1; i++){
best_i = i;
for (j = i+1; j < size; j++){
if (comp(array[j], array[best_i]) < 0)
best_i = j;
}
tmp = array[i]; array[i] = array[best_i]; array[best_i] = tmp;
}
}
static void sortrnd(void** array, int size, int(*comp)(const void *, const void *), double* seed)
{
if (size <= 15)
selectionsort(array, size, comp);
else{
void* pivot = array[irand(seed, size)];
void* tmp;
int i = -1;
int j = size;
for(;;){
do i++; while(comp(array[i], pivot)<0);
do j--; while(comp(pivot, array[j])<0);
if (i >= j) break;
tmp = array[i]; array[i] = array[j]; array[j] = tmp;
}
sortrnd(array , i , comp, seed);
sortrnd(&array[i], size-i, comp, seed);
}
}
//=================================================================================================
// Clause functions:
static inline int sat_clause_compute_lbd( sat_solver* s, clause* c )
{
unsigned int i, lev, minl = 0;
int lbd = 0;
for (i = 0; i < c->size; i++)
{
lev = var_level(s, lit_var(c->lits[i]));
if ( !(minl & (1U << (lev & 31))) )
{
minl |= 1U << (lev & 31);
lbd++;
// printf( "%d ", lev );
}
}
// printf( " -> %d\n", lbd );
return lbd;
}
/* pre: size > 1 && no variable occurs twice
*/
int sat_solver_clause_new(sat_solver* s, lit* begin, lit* end, int learnt)
{
int fUseBinaryClauses = 1;
int size;
clause* c;
int h;
assert(end - begin > 1);
assert(learnt >= 0 && learnt < 2);
size = end - begin;
// do not allocate memory for the two-literal problem clause
if ( fUseBinaryClauses && size == 2 && !learnt )
{
veci_push(sat_solver_read_wlist(s,lit_neg(begin[0])),(clause_from_lit(begin[1])));
veci_push(sat_solver_read_wlist(s,lit_neg(begin[1])),(clause_from_lit(begin[0])));
s->stats.clauses++;
s->stats.clauses_literals += size;
return 0;
}
// create new clause
// h = Vec_SetAppend( &s->Mem, NULL, size + learnt + 1 + 1 ) << 1;
h = Sat_MemAppend( &s->Mem, begin, size, learnt, 0 );
assert( !(h & 1) );
if ( s->hLearnts == -1 && learnt )
s->hLearnts = h;
if (learnt)
{
c = clause_read( s, h );
c->lbd = sat_clause_compute_lbd( s, c );
assert( clause_id(c) == veci_size(&s->act_clas) );
// veci_push(&s->learned, h);
// act_clause_bump(s,clause_read(s, h));
if ( s->ClaActType == 0 )
veci_push(&s->act_clas, (1<<10));
else
veci_push(&s->act_clas, s->cla_inc);
s->stats.learnts++;
s->stats.learnts_literals += size;
}
else
{
s->stats.clauses++;
s->stats.clauses_literals += size;
}
assert(begin[0] >= 0);
assert(begin[0] < s->size*2);
assert(begin[1] >= 0);
assert(begin[1] < s->size*2);
assert(lit_neg(begin[0]) < s->size*2);
assert(lit_neg(begin[1]) < s->size*2);
//veci_push(sat_solver_read_wlist(s,lit_neg(begin[0])),c);
//veci_push(sat_solver_read_wlist(s,lit_neg(begin[1])),c);
veci_push(sat_solver_read_wlist(s,lit_neg(begin[0])),(size > 2 ? h : clause_from_lit(begin[1])));
veci_push(sat_solver_read_wlist(s,lit_neg(begin[1])),(size > 2 ? h : clause_from_lit(begin[0])));
return h;
}
//=================================================================================================
// Minor (solver) functions:
static inline int sat_solver_enqueue(sat_solver* s, lit l, int from)
{
int v = lit_var(l);
if ( s->pFreqs[v] == 0 )
// {
s->pFreqs[v] = 1;
// s->nVarUsed++;
// }
#ifdef VERBOSEDEBUG
printf(L_IND"enqueue("L_LIT")\n", L_ind, L_lit(l));
#endif
if (var_value(s, v) != varX)
return var_value(s, v) == lit_sign(l);
else{
/*
if ( s->pCnfFunc )
{
if ( lit_sign(l) )
{
if ( (s->loads[v] & 1) == 0 )
{
s->loads[v] ^= 1;
s->pCnfFunc( s->pCnfMan, l );
}
}
else
{
if ( (s->loads[v] & 2) == 0 )
{
s->loads[v] ^= 2;
s->pCnfFunc( s->pCnfMan, l );
}
}
}
*/
// New fact -- store it.
#ifdef VERBOSEDEBUG
printf(L_IND"bind("L_LIT")\n", L_ind, L_lit(l));
#endif
var_set_value(s, v, lit_sign(l));
var_set_level(s, v, sat_solver_dl(s));
s->reasons[v] = from;
s->trail[s->qtail++] = l;
order_assigned(s, v);
return true;
}
}
static inline int sat_solver_decision(sat_solver* s, lit l){
assert(s->qtail == s->qhead);
assert(var_value(s, lit_var(l)) == varX);
#ifdef VERBOSEDEBUG
printf(L_IND"assume("L_LIT") ", L_ind, L_lit(l));
printf( "act = %.20f\n", s->activity[lit_var(l)] );
#endif
veci_push(&s->trail_lim,s->qtail);
return sat_solver_enqueue(s,l,0);
}
static void sat_solver_canceluntil(sat_solver* s, int level) {
int bound;
int lastLev;
int c;
if (sat_solver_dl(s) <= level)
return;
assert( veci_size(&s->trail_lim) > 0 );
bound = (veci_begin(&s->trail_lim))[level];
lastLev = (veci_begin(&s->trail_lim))[veci_size(&s->trail_lim)-1];
////////////////////////////////////////
// added to cancel all assignments
// if ( level == -1 )
// bound = 0;
////////////////////////////////////////
for (c = s->qtail-1; c >= bound; c--) {
int x = lit_var(s->trail[c]);
var_set_value(s, x, varX);
s->reasons[x] = 0;
if ( c < lastLev )
var_set_polar( s, x, !lit_sign(s->trail[c]) );
}
//printf( "\n" );
for (c = s->qhead-1; c >= bound; c--)
order_unassigned(s,lit_var(s->trail[c]));
s->qhead = s->qtail = bound;
veci_resize(&s->trail_lim,level);
}
static void sat_solver_canceluntil_rollback(sat_solver* s, int NewBound) {
int c, x;
assert( sat_solver_dl(s) == 0 );
assert( s->qtail == s->qhead );
assert( s->qtail >= NewBound );
for (c = s->qtail-1; c >= NewBound; c--)
{
x = lit_var(s->trail[c]);
var_set_value(s, x, varX);
s->reasons[x] = 0;
}
for (c = s->qhead-1; c >= NewBound; c--)
order_unassigned(s,lit_var(s->trail[c]));
s->qhead = s->qtail = NewBound;
}
static void sat_solver_record(sat_solver* s, veci* cls)
{
lit* begin = veci_begin(cls);
lit* end = begin + veci_size(cls);
int h = (veci_size(cls) > 1) ? sat_solver_clause_new(s,begin,end,1) : 0;
sat_solver_enqueue(s,*begin,h);
assert(veci_size(cls) > 0);
if ( h == 0 )
veci_push( &s->unit_lits, *begin );
///////////////////////////////////
// add clause to internal storage
if ( s->pStore )
{
int RetValue = Sto_ManAddClause( (Sto_Man_t *)s->pStore, begin, end );
assert( RetValue );
(void) RetValue;
}
///////////////////////////////////
/*
if (h != 0) {
act_clause_bump(s,clause_read(s, h));
s->stats.learnts++;
s->stats.learnts_literals += veci_size(cls);
}
*/
}
int sat_solver_count_assigned(sat_solver* s)
{
// count top-level assignments
int i, Count = 0;
assert(sat_solver_dl(s) == 0);
for ( i = 0; i < s->size; i++ )
if (var_value(s, i) != varX)
Count++;
return Count;
}
static double sat_solver_progress(sat_solver* s)
{
int i;
double progress = 0;
double F = 1.0 / s->size;
for (i = 0; i < s->size; i++)
if (var_value(s, i) != varX)
progress += pow(F, var_level(s, i));
return progress / s->size;
}
//=================================================================================================
// Major methods:
static int sat_solver_lit_removable(sat_solver* s, int x, int minl)
{
int top = veci_size(&s->tagged);
assert(s->reasons[x] != 0);
veci_resize(&s->stack,0);
veci_push(&s->stack,x);
while (veci_size(&s->stack)){
int v = veci_pop(&s->stack);
assert(s->reasons[v] != 0);
if (clause_is_lit(s->reasons[v])){
v = lit_var(clause_read_lit(s->reasons[v]));
if (!var_tag(s,v) && var_level(s, v)){
if (s->reasons[v] != 0 && ((1 << (var_level(s, v) & 31)) & minl)){
veci_push(&s->stack,v);
var_set_tag(s, v, 1);
}else{
solver2_clear_tags(s, top);
return 0;
}
}
}else{
clause* c = clause_read(s, s->reasons[v]);
lit* lits = clause_begin(c);
int i;
for (i = 1; i < clause_size(c); i++){
int v = lit_var(lits[i]);
if (!var_tag(s,v) && var_level(s, v)){
if (s->reasons[v] != 0 && ((1 << (var_level(s, v) & 31)) & minl)){
veci_push(&s->stack,lit_var(lits[i]));
var_set_tag(s, v, 1);
}else{
solver2_clear_tags(s, top);
return 0;
}
}
}
}
}
return 1;
}
/*_________________________________________________________________________________________________
|
| analyzeFinal : (p : Lit) -> [void]
|
| Description:
| Specialized analysis procedure to express the final conflict in terms of assumptions.
| Calculates the (possibly empty) set of assumptions that led to the assignment of 'p', and
| stores the result in 'out_conflict'.
|________________________________________________________________________________________________@*/
/*
void Solver::analyzeFinal(Clause* confl, bool skip_first)
{
// -- NOTE! This code is relatively untested. Please report bugs!
conflict.clear();
if (root_level == 0) return;
vec<char>& seen = analyze_seen;
for (int i = skip_first ? 1 : 0; i < confl->size(); i++){
Var x = var((*confl)[i]);
if (level[x] > 0)
seen[x] = 1;
}
int start = (root_level >= trail_lim.size()) ? trail.size()-1 : trail_lim[root_level];
for (int i = start; i >= trail_lim[0]; i--){
Var x = var(trail[i]);
if (seen[x]){
GClause r = reason[x];
if (r == GClause_NULL){
assert(level[x] > 0);
conflict.push(~trail[i]);
}else{
if (r.isLit()){
Lit p = r.lit();
if (level[var(p)] > 0)
seen[var(p)] = 1;
}else{
Clause& c = *r.clause();
for (int j = 1; j < c.size(); j++)
if (level[var(c[j])] > 0)
seen[var(c[j])] = 1;
}
}
seen[x] = 0;
}
}
}
*/
#ifdef SAT_USE_ANALYZE_FINAL
static void sat_solver_analyze_final(sat_solver* s, int hConf, int skip_first)
{
clause* conf = clause_read(s, hConf);
int i, j, start;
veci_resize(&s->conf_final,0);
if ( s->root_level == 0 )
return;
assert( veci_size(&s->tagged) == 0 );
// assert( s->tags[lit_var(p)] == l_Undef );
// s->tags[lit_var(p)] = l_True;
for (i = skip_first ? 1 : 0; i < clause_size(conf); i++)
{
int x = lit_var(clause_begin(conf)[i]);
if (var_level(s, x) > 0)
var_set_tag(s, x, 1);
}
start = (s->root_level >= veci_size(&s->trail_lim))? s->qtail-1 : (veci_begin(&s->trail_lim))[s->root_level];
for (i = start; i >= (veci_begin(&s->trail_lim))[0]; i--){
int x = lit_var(s->trail[i]);
if (var_tag(s,x)){
if (s->reasons[x] == 0){
assert(var_level(s, x) > 0);
veci_push(&s->conf_final,lit_neg(s->trail[i]));
}else{
if (clause_is_lit(s->reasons[x])){
lit q = clause_read_lit(s->reasons[x]);
assert(lit_var(q) >= 0 && lit_var(q) < s->size);
if (var_level(s, lit_var(q)) > 0)
var_set_tag(s, lit_var(q), 1);
}
else{
clause* c = clause_read(s, s->reasons[x]);
int* lits = clause_begin(c);
for (j = 1; j < clause_size(c); j++)
if (var_level(s, lit_var(lits[j])) > 0)
var_set_tag(s, lit_var(lits[j]), 1);
}
}
}
}
solver2_clear_tags(s,0);
}
#endif
static void sat_solver_analyze(sat_solver* s, int h, veci* learnt)
{
lit* trail = s->trail;
int cnt = 0;
lit p = lit_Undef;
int ind = s->qtail-1;
lit* lits;
int i, j, minl;
veci_push(learnt,lit_Undef);
do{
assert(h != 0);
if (clause_is_lit(h)){
int x = lit_var(clause_read_lit(h));
if (var_tag(s, x) == 0 && var_level(s, x) > 0){
var_set_tag(s, x, 1);
act_var_bump(s,x);
if (var_level(s, x) == sat_solver_dl(s))
cnt++;
else
veci_push(learnt,clause_read_lit(h));
}
}else{
clause* c = clause_read(s, h);
if (clause_learnt(c))
act_clause_bump(s,c);
lits = clause_begin(c);
//printlits(lits,lits+clause_size(c)); printf("\n");
for (j = (p == lit_Undef ? 0 : 1); j < clause_size(c); j++){
int x = lit_var(lits[j]);
if (var_tag(s, x) == 0 && var_level(s, x) > 0){
var_set_tag(s, x, 1);
act_var_bump(s,x);
// bump variables propaged by the LBD=2 clause
// if ( s->reasons[x] && clause_read(s, s->reasons[x])->lbd <= 2 )
// act_var_bump(s,x);
if (var_level(s,x) == sat_solver_dl(s))
cnt++;
else
veci_push(learnt,lits[j]);
}
}
}
while ( !var_tag(s, lit_var(trail[ind--])) );
p = trail[ind+1];
h = s->reasons[lit_var(p)];
cnt--;
}while (cnt > 0);
*veci_begin(learnt) = lit_neg(p);
lits = veci_begin(learnt);
minl = 0;
for (i = 1; i < veci_size(learnt); i++){
int lev = var_level(s, lit_var(lits[i]));
minl |= 1 << (lev & 31);
}
// simplify (full)
for (i = j = 1; i < veci_size(learnt); i++){
if (s->reasons[lit_var(lits[i])] == 0 || !sat_solver_lit_removable(s,lit_var(lits[i]),minl))
lits[j++] = lits[i];
}
// update size of learnt + statistics
veci_resize(learnt,j);
s->stats.tot_literals += j;
// clear tags
solver2_clear_tags(s,0);
#ifdef DEBUG
for (i = 0; i < s->size; i++)
assert(!var_tag(s, i));
#endif
#ifdef VERBOSEDEBUG
printf(L_IND"Learnt {", L_ind);
for (i = 0; i < veci_size(learnt); i++) printf(" "L_LIT, L_lit(lits[i]));
#endif
if (veci_size(learnt) > 1){
int max_i = 1;
int max = var_level(s, lit_var(lits[1]));
lit tmp;
for (i = 2; i < veci_size(learnt); i++)
if (var_level(s, lit_var(lits[i])) > max){
max = var_level(s, lit_var(lits[i]));
max_i = i;
}
tmp = lits[1];
lits[1] = lits[max_i];
lits[max_i] = tmp;
}
#ifdef VERBOSEDEBUG
{
int lev = veci_size(learnt) > 1 ? var_level(s, lit_var(lits[1])) : 0;
printf(" } at level %d\n", lev);
}
#endif
}
//#define TEST_CNF_LOAD
int sat_solver_propagate(sat_solver* s)
{
int hConfl = 0;
lit* lits;
lit false_lit;
//printf("sat_solver_propagate\n");
while (hConfl == 0 && s->qtail - s->qhead > 0){
lit p = s->trail[s->qhead++];
#ifdef TEST_CNF_LOAD
int v = lit_var(p);
if ( s->pCnfFunc )
{
if ( lit_sign(p) )
{
if ( (s->loads[v] & 1) == 0 )
{
s->loads[v] ^= 1;
s->pCnfFunc( s->pCnfMan, p );
}
}
else
{
if ( (s->loads[v] & 2) == 0 )
{
s->loads[v] ^= 2;
s->pCnfFunc( s->pCnfMan, p );
}
}
}
{
#endif
veci* ws = sat_solver_read_wlist(s,p);
int* begin = veci_begin(ws);
int* end = begin + veci_size(ws);
int*i, *j;
s->stats.propagations++;
// s->simpdb_props--;
//printf("checking lit %d: "L_LIT"\n", veci_size(ws), L_lit(p));
for (i = j = begin; i < end; ){
if (clause_is_lit(*i)){
int Lit = clause_read_lit(*i);
if (var_value(s, lit_var(Lit)) == lit_sign(Lit)){
*j++ = *i++;
continue;
}
*j++ = *i;
if (!sat_solver_enqueue(s,clause_read_lit(*i),clause_from_lit(p))){
hConfl = s->hBinary;
(clause_begin(s->binary))[1] = lit_neg(p);
(clause_begin(s->binary))[0] = clause_read_lit(*i++);
// Copy the remaining watches:
while (i < end)
*j++ = *i++;
}
}else{
clause* c = clause_read(s,*i);
lits = clause_begin(c);
// Make sure the false literal is data[1]:
false_lit = lit_neg(p);
if (lits[0] == false_lit){
lits[0] = lits[1];
lits[1] = false_lit;
}
assert(lits[1] == false_lit);
// If 0th watch is true, then clause is already satisfied.
if (var_value(s, lit_var(lits[0])) == lit_sign(lits[0]))
*j++ = *i;
else{
// Look for new watch:
lit* stop = lits + clause_size(c);
lit* k;
for (k = lits + 2; k < stop; k++){
if (var_value(s, lit_var(*k)) != !lit_sign(*k)){
lits[1] = *k;
*k = false_lit;
veci_push(sat_solver_read_wlist(s,lit_neg(lits[1])),*i);
goto next; }
}
*j++ = *i;
// Clause is unit under assignment:
if ( c->lrn )
c->lbd = sat_clause_compute_lbd(s, c);
if (!sat_solver_enqueue(s,lits[0], *i)){
hConfl = *i++;
// Copy the remaining watches:
while (i < end)
*j++ = *i++;
}
}
}
next:
i++;
}
s->stats.inspects += j - veci_begin(ws);
veci_resize(ws,j - veci_begin(ws));
#ifdef TEST_CNF_LOAD
}
#endif
}
return hConfl;
}
//=================================================================================================
// External solver functions:
sat_solver* sat_solver_new(void)
{
sat_solver* s = (sat_solver*)ABC_CALLOC( char, sizeof(sat_solver));
// Vec_SetAlloc_(&s->Mem, 15);
Sat_MemAlloc_(&s->Mem, 17);
s->hLearnts = -1;
s->hBinary = Sat_MemAppend( &s->Mem, NULL, 2, 0, 0 );
s->binary = clause_read( s, s->hBinary );
s->nLearntStart = LEARNT_MAX_START_DEFAULT; // starting learned clause limit
s->nLearntDelta = LEARNT_MAX_INCRE_DEFAULT; // delta of learned clause limit
s->nLearntRatio = LEARNT_MAX_RATIO_DEFAULT; // ratio of learned clause limit
s->nLearntMax = s->nLearntStart;
// initialize vectors
veci_new(&s->order);
veci_new(&s->trail_lim);
veci_new(&s->tagged);
// veci_new(&s->learned);
veci_new(&s->act_clas);
veci_new(&s->stack);
// veci_new(&s->model);
veci_new(&s->unit_lits);
veci_new(&s->temp_clause);
veci_new(&s->conf_final);
// initialize arrays
s->wlists = 0;
s->activity = 0;
s->orderpos = 0;
s->reasons = 0;
s->trail = 0;
// initialize other vars
s->size = 0;
s->cap = 0;
s->qhead = 0;
s->qtail = 0;
solver_init_activities(s);
veci_new(&s->act_vars);
s->root_level = 0;
// s->simpdb_assigns = 0;
// s->simpdb_props = 0;
s->random_seed = 91648253;
s->progress_estimate = 0;
// s->binary = (clause*)ABC_ALLOC( char, sizeof(clause) + sizeof(lit)*2);
// s->binary->size_learnt = (2 << 1);
s->verbosity = 0;
s->stats.starts = 0;
s->stats.decisions = 0;
s->stats.propagations = 0;
s->stats.inspects = 0;
s->stats.conflicts = 0;
s->stats.clauses = 0;
s->stats.clauses_literals = 0;
s->stats.learnts = 0;
s->stats.learnts_literals = 0;
s->stats.tot_literals = 0;
return s;
}
sat_solver* zsat_solver_new_seed(double seed)
{
sat_solver* s = (sat_solver*)ABC_CALLOC( char, sizeof(sat_solver));
// Vec_SetAlloc_(&s->Mem, 15);
Sat_MemAlloc_(&s->Mem, 15);
s->hLearnts = -1;
s->hBinary = Sat_MemAppend( &s->Mem, NULL, 2, 0, 0 );
s->binary = clause_read( s, s->hBinary );
s->nLearntStart = LEARNT_MAX_START_DEFAULT; // starting learned clause limit
s->nLearntDelta = LEARNT_MAX_INCRE_DEFAULT; // delta of learned clause limit
s->nLearntRatio = LEARNT_MAX_RATIO_DEFAULT; // ratio of learned clause limit
s->nLearntMax = s->nLearntStart;
// initialize vectors
veci_new(&s->order);
veci_new(&s->trail_lim);
veci_new(&s->tagged);
// veci_new(&s->learned);
veci_new(&s->act_clas);
veci_new(&s->stack);
// veci_new(&s->model);
veci_new(&s->unit_lits);
veci_new(&s->temp_clause);
veci_new(&s->conf_final);
// initialize arrays
s->wlists = 0;
s->activity = 0;
s->orderpos = 0;
s->reasons = 0;
s->trail = 0;
// initialize other vars
s->size = 0;
s->cap = 0;
s->qhead = 0;
s->qtail = 0;
solver_init_activities(s);
veci_new(&s->act_vars);
s->root_level = 0;
// s->simpdb_assigns = 0;
// s->simpdb_props = 0;
s->random_seed = seed;
s->progress_estimate = 0;
// s->binary = (clause*)ABC_ALLOC( char, sizeof(clause) + sizeof(lit)*2);
// s->binary->size_learnt = (2 << 1);
s->verbosity = 0;
s->stats.starts = 0;
s->stats.decisions = 0;
s->stats.propagations = 0;
s->stats.inspects = 0;
s->stats.conflicts = 0;
s->stats.clauses = 0;
s->stats.clauses_literals = 0;
s->stats.learnts = 0;
s->stats.learnts_literals = 0;
s->stats.tot_literals = 0;
return s;
}
int sat_solver_addvar(sat_solver* s)
{
sat_solver_setnvars(s, s->size+1);
return s->size-1;
}
void sat_solver_setnvars(sat_solver* s,int n)
{
int var;
if (s->cap < n){
int old_cap = s->cap;
while (s->cap < n) s->cap = s->cap*2+1;
if ( s->cap < 50000 )
s->cap = 50000;
s->wlists = ABC_REALLOC(veci, s->wlists, s->cap*2);
// s->vi = ABC_REALLOC(varinfo,s->vi, s->cap);
s->levels = ABC_REALLOC(int, s->levels, s->cap);
s->assigns = ABC_REALLOC(char, s->assigns, s->cap);
s->polarity = ABC_REALLOC(char, s->polarity, s->cap);
s->tags = ABC_REALLOC(char, s->tags, s->cap);
s->loads = ABC_REALLOC(char, s->loads, s->cap);
s->activity = ABC_REALLOC(word, s->activity, s->cap);
s->activity2 = ABC_REALLOC(word, s->activity2,s->cap);
s->pFreqs = ABC_REALLOC(char, s->pFreqs, s->cap);
if ( s->factors )
s->factors = ABC_REALLOC(double, s->factors, s->cap);
s->orderpos = ABC_REALLOC(int, s->orderpos, s->cap);
s->reasons = ABC_REALLOC(int, s->reasons, s->cap);
s->trail = ABC_REALLOC(lit, s->trail, s->cap);
s->model = ABC_REALLOC(int, s->model, s->cap);
memset( s->wlists + 2*old_cap, 0, 2*(s->cap-old_cap)*sizeof(veci) );
}
for (var = s->size; var < n; var++){
assert(!s->wlists[2*var].size);
assert(!s->wlists[2*var+1].size);
if ( s->wlists[2*var].ptr == NULL )
veci_new(&s->wlists[2*var]);
if ( s->wlists[2*var+1].ptr == NULL )
veci_new(&s->wlists[2*var+1]);
if ( s->VarActType == 0 )
s->activity[var] = (1<<10);
else if ( s->VarActType == 1 )
s->activity[var] = 0;
else if ( s->VarActType == 2 )
s->activity[var] = 0;
else assert(0);
s->pFreqs[var] = 0;
if ( s->factors )
s->factors [var] = 0;
// *((int*)s->vi + var) = 0; s->vi[var].val = varX;
s->levels [var] = 0;
s->assigns [var] = varX;
s->polarity[var] = 0;
s->tags [var] = 0;
s->loads [var] = 0;
s->orderpos[var] = veci_size(&s->order);
s->reasons [var] = 0;
s->model [var] = 0;
/* does not hold because variables enqueued at top level will not be reinserted in the heap
assert(veci_size(&s->order) == var);
*/
veci_push(&s->order,var);
order_update(s, var);
}
s->size = n > s->size ? n : s->size;
}
void sat_solver_delete(sat_solver* s)
{
// Vec_SetFree_( &s->Mem );
Sat_MemFree_( &s->Mem );
// delete vectors
veci_delete(&s->order);
veci_delete(&s->trail_lim);
veci_delete(&s->tagged);
// veci_delete(&s->learned);
veci_delete(&s->act_clas);
veci_delete(&s->stack);
// veci_delete(&s->model);
veci_delete(&s->act_vars);
veci_delete(&s->unit_lits);
veci_delete(&s->pivot_vars);
veci_delete(&s->temp_clause);
veci_delete(&s->conf_final);
veci_delete(&s->user_vars);
veci_delete(&s->user_values);
// delete arrays
if (s->reasons != 0){
int i;
for (i = 0; i < s->cap*2; i++)
veci_delete(&s->wlists[i]);
ABC_FREE(s->wlists );
// ABC_FREE(s->vi );
ABC_FREE(s->levels );
ABC_FREE(s->assigns );
ABC_FREE(s->polarity );
ABC_FREE(s->tags );
ABC_FREE(s->loads );
ABC_FREE(s->activity );
ABC_FREE(s->activity2);
ABC_FREE(s->pFreqs );
ABC_FREE(s->factors );
ABC_FREE(s->orderpos );
ABC_FREE(s->reasons );
ABC_FREE(s->trail );
ABC_FREE(s->model );
}
sat_solver_store_free(s);
ABC_FREE(s);
}
void sat_solver_restart( sat_solver* s )
{
int i;
Sat_MemRestart( &s->Mem );
s->hLearnts = -1;
s->hBinary = Sat_MemAppend( &s->Mem, NULL, 2, 0, 0 );
s->binary = clause_read( s, s->hBinary );
veci_resize(&s->trail_lim, 0);
veci_resize(&s->order, 0);
for ( i = 0; i < s->size*2; i++ )
s->wlists[i].size = 0;
s->nDBreduces = 0;
// initialize other vars
s->size = 0;
// s->cap = 0;
s->qhead = 0;
s->qtail = 0;
// variable activities
solver_init_activities(s);
veci_resize(&s->act_clas, 0);
s->root_level = 0;
// s->simpdb_assigns = 0;
// s->simpdb_props = 0;
s->random_seed = 91648253;
s->progress_estimate = 0;
s->verbosity = 0;
s->stats.starts = 0;
s->stats.decisions = 0;
s->stats.propagations = 0;
s->stats.inspects = 0;
s->stats.conflicts = 0;
s->stats.clauses = 0;
s->stats.clauses_literals = 0;
s->stats.learnts = 0;
s->stats.learnts_literals = 0;
s->stats.tot_literals = 0;
}
void zsat_solver_restart_seed( sat_solver* s, double seed )
{
int i;
Sat_MemRestart( &s->Mem );
s->hLearnts = -1;
s->hBinary = Sat_MemAppend( &s->Mem, NULL, 2, 0, 0 );
s->binary = clause_read( s, s->hBinary );
veci_resize(&s->trail_lim, 0);
veci_resize(&s->order, 0);
for ( i = 0; i < s->size*2; i++ )
s->wlists[i].size = 0;
s->nDBreduces = 0;
// initialize other vars
s->size = 0;
// s->cap = 0;
s->qhead = 0;
s->qtail = 0;
solver_init_activities(s);
veci_resize(&s->act_clas, 0);
s->root_level = 0;
// s->simpdb_assigns = 0;
// s->simpdb_props = 0;
s->random_seed = seed;
s->progress_estimate = 0;
s->verbosity = 0;
s->stats.starts = 0;
s->stats.decisions = 0;
s->stats.propagations = 0;
s->stats.inspects = 0;
s->stats.conflicts = 0;
s->stats.clauses = 0;
s->stats.clauses_literals = 0;
s->stats.learnts = 0;
s->stats.learnts_literals = 0;
s->stats.tot_literals = 0;
}
// returns memory in bytes used by the SAT solver
double sat_solver_memory( sat_solver* s )
{
int i;
double Mem = sizeof(sat_solver);
for (i = 0; i < s->cap*2; i++)
Mem += s->wlists[i].cap * sizeof(int);
Mem += s->cap * sizeof(veci); // ABC_FREE(s->wlists );
Mem += s->cap * sizeof(int); // ABC_FREE(s->levels );
Mem += s->cap * sizeof(char); // ABC_FREE(s->assigns );
Mem += s->cap * sizeof(char); // ABC_FREE(s->polarity );
Mem += s->cap * sizeof(char); // ABC_FREE(s->tags );
Mem += s->cap * sizeof(char); // ABC_FREE(s->loads );
Mem += s->cap * sizeof(word); // ABC_FREE(s->activity );
if ( s->activity2 )
Mem += s->cap * sizeof(word); // ABC_FREE(s->activity );
if ( s->factors )
Mem += s->cap * sizeof(double); // ABC_FREE(s->factors );
Mem += s->cap * sizeof(int); // ABC_FREE(s->orderpos );
Mem += s->cap * sizeof(int); // ABC_FREE(s->reasons );
Mem += s->cap * sizeof(lit); // ABC_FREE(s->trail );
Mem += s->cap * sizeof(int); // ABC_FREE(s->model );
Mem += s->order.cap * sizeof(int);
Mem += s->trail_lim.cap * sizeof(int);
Mem += s->tagged.cap * sizeof(int);
// Mem += s->learned.cap * sizeof(int);
Mem += s->stack.cap * sizeof(int);
Mem += s->act_vars.cap * sizeof(int);
Mem += s->unit_lits.cap * sizeof(int);
Mem += s->act_clas.cap * sizeof(int);
Mem += s->temp_clause.cap * sizeof(int);
Mem += s->conf_final.cap * sizeof(int);
Mem += Sat_MemMemoryAll( &s->Mem );
return Mem;
}
int sat_solver_simplify(sat_solver* s)
{
assert(sat_solver_dl(s) == 0);
if (sat_solver_propagate(s) != 0)
return false;
return true;
}
void sat_solver_reducedb(sat_solver* s)
{
static abctime TimeTotal = 0;
abctime clk = Abc_Clock();
Sat_Mem_t * pMem = &s->Mem;
int nLearnedOld = veci_size(&s->act_clas);
int * act_clas = veci_begin(&s->act_clas);
int * pPerm, * pArray, * pSortValues, nCutoffValue;
int i, k, j, Id, Counter, CounterStart, nSelected;
clause * c;
assert( s->nLearntMax > 0 );
assert( nLearnedOld == Sat_MemEntryNum(pMem, 1) );
assert( nLearnedOld == (int)s->stats.learnts );
s->nDBreduces++;
//printf( "Calling reduceDB with %d learned clause limit.\n", s->nLearntMax );
s->nLearntMax = s->nLearntStart + s->nLearntDelta * s->nDBreduces;
// return;
// create sorting values
pSortValues = ABC_ALLOC( int, nLearnedOld );
Sat_MemForEachLearned( pMem, c, i, k )
{
Id = clause_id(c);
// pSortValues[Id] = act[Id];
if ( s->ClaActType == 0 )
pSortValues[Id] = ((7 - Abc_MinInt(c->lbd, 7)) << 28) | (act_clas[Id] >> 4);
else
pSortValues[Id] = ((7 - Abc_MinInt(c->lbd, 7)) << 28);// | (act_clas[Id] >> 4);
assert( pSortValues[Id] >= 0 );
}
// preserve 1/20 of last clauses
CounterStart = nLearnedOld - (s->nLearntMax / 20);
// preserve 3/4 of most active clauses
nSelected = nLearnedOld*s->nLearntRatio/100;
// find non-decreasing permutation
pPerm = Abc_MergeSortCost( pSortValues, nLearnedOld );
assert( pSortValues[pPerm[0]] <= pSortValues[pPerm[nLearnedOld-1]] );
nCutoffValue = pSortValues[pPerm[nLearnedOld-nSelected]];
ABC_FREE( pPerm );
// ActCutOff = ABC_INFINITY;
// mark learned clauses to remove
Counter = j = 0;
Sat_MemForEachLearned( pMem, c, i, k )
{
assert( c->mark == 0 );
if ( Counter++ > CounterStart || clause_size(c) < 3 || pSortValues[clause_id(c)] > nCutoffValue || s->reasons[lit_var(c->lits[0])] == Sat_MemHand(pMem, i, k) )
act_clas[j++] = act_clas[clause_id(c)];
else // delete
{
c->mark = 1;
s->stats.learnts_literals -= clause_size(c);
s->stats.learnts--;
}
}
assert( s->stats.learnts == (unsigned)j );
assert( Counter == nLearnedOld );
veci_resize(&s->act_clas,j);
ABC_FREE( pSortValues );
// update ID of each clause to be its new handle
Counter = Sat_MemCompactLearned( pMem, 0 );
assert( Counter == (int)s->stats.learnts );
// update reasons
for ( i = 0; i < s->size; i++ )
{
if ( !s->reasons[i] ) // no reason
continue;
if ( clause_is_lit(s->reasons[i]) ) // 2-lit clause
continue;
if ( !clause_learnt_h(pMem, s->reasons[i]) ) // problem clause
continue;
c = clause_read( s, s->reasons[i] );
assert( c->mark == 0 );
s->reasons[i] = clause_id(c); // updating handle here!!!
}
// update watches
for ( i = 0; i < s->size*2; i++ )
{
pArray = veci_begin(&s->wlists[i]);
for ( j = k = 0; k < veci_size(&s->wlists[i]); k++ )
{
if ( clause_is_lit(pArray[k]) ) // 2-lit clause
pArray[j++] = pArray[k];
else if ( !clause_learnt_h(pMem, pArray[k]) ) // problem clause
pArray[j++] = pArray[k];
else
{
c = clause_read(s, pArray[k]);
if ( !c->mark ) // useful learned clause
pArray[j++] = clause_id(c); // updating handle here!!!
}
}
veci_resize(&s->wlists[i],j);
}
// perform final move of the clauses
Counter = Sat_MemCompactLearned( pMem, 1 );
assert( Counter == (int)s->stats.learnts );
// report the results
TimeTotal += Abc_Clock() - clk;
if ( s->fVerbose )
{
Abc_Print(1, "reduceDB: Keeping %7d out of %7d clauses (%5.2f %%) ",
s->stats.learnts, nLearnedOld, 100.0 * s->stats.learnts / nLearnedOld );
Abc_PrintTime( 1, "Time", TimeTotal );
}
}
// reverses to the previously bookmarked point
void sat_solver_rollback( sat_solver* s )
{
Sat_Mem_t * pMem = &s->Mem;
int i, k, j;
static int Count = 0;
Count++;
assert( s->iVarPivot >= 0 && s->iVarPivot <= s->size );
assert( s->iTrailPivot >= 0 && s->iTrailPivot <= s->qtail );
// reset implication queue
sat_solver_canceluntil_rollback( s, s->iTrailPivot );
// update order
if ( s->iVarPivot < s->size )
{
if ( s->activity2 )
{
s->var_inc = s->var_inc2;
memcpy( s->activity, s->activity2, sizeof(word) * s->iVarPivot );
}
veci_resize(&s->order, 0);
for ( i = 0; i < s->iVarPivot; i++ )
{
if ( var_value(s, i) != varX )
continue;
s->orderpos[i] = veci_size(&s->order);
veci_push(&s->order,i);
order_update(s, i);
}
}
// compact watches
for ( i = 0; i < s->iVarPivot*2; i++ )
{
cla* pArray = veci_begin(&s->wlists[i]);
for ( j = k = 0; k < veci_size(&s->wlists[i]); k++ )
{
if ( clause_is_lit(pArray[k]) )
{
if ( clause_read_lit(pArray[k]) < s->iVarPivot*2 )
pArray[j++] = pArray[k];
}
else if ( Sat_MemClauseUsed(pMem, pArray[k]) )
pArray[j++] = pArray[k];
}
veci_resize(&s->wlists[i],j);
}
// reset watcher lists
for ( i = 2*s->iVarPivot; i < 2*s->size; i++ )
s->wlists[i].size = 0;
// reset clause counts
s->stats.clauses = pMem->BookMarkE[0];
s->stats.learnts = pMem->BookMarkE[1];
// rollback clauses
Sat_MemRollBack( pMem );
// resize learned arrays
veci_resize(&s->act_clas, s->stats.learnts);
// initialize other vars
s->size = s->iVarPivot;
if ( s->size == 0 )
{
// s->size = 0;
// s->cap = 0;
s->qhead = 0;
s->qtail = 0;
solver_init_activities(s);
s->root_level = 0;
s->random_seed = 91648253;
s->progress_estimate = 0;
s->verbosity = 0;
s->stats.starts = 0;
s->stats.decisions = 0;
s->stats.propagations = 0;
s->stats.inspects = 0;
s->stats.conflicts = 0;
s->stats.clauses = 0;
s->stats.clauses_literals = 0;
s->stats.learnts = 0;
s->stats.learnts_literals = 0;
s->stats.tot_literals = 0;
// initialize rollback
s->iVarPivot = 0; // the pivot for variables
s->iTrailPivot = 0; // the pivot for trail
s->hProofPivot = 1; // the pivot for proof records
}
}
int sat_solver_addclause(sat_solver* s, lit* begin, lit* end)
{
lit *i,*j;
int maxvar;
lit last;
assert( begin < end );
if ( s->fPrintClause )
{
for ( i = begin; i < end; i++ )
printf( "%s%d ", (*i)&1 ? "!":"", (*i)>>1 );
printf( "\n" );
}
veci_resize( &s->temp_clause, 0 );
for ( i = begin; i < end; i++ )
veci_push( &s->temp_clause, *i );
begin = veci_begin( &s->temp_clause );
end = begin + veci_size( &s->temp_clause );
// insertion sort
maxvar = lit_var(*begin);
for (i = begin + 1; i < end; i++){
lit l = *i;
maxvar = lit_var(l) > maxvar ? lit_var(l) : maxvar;
for (j = i; j > begin && *(j-1) > l; j--)
*j = *(j-1);
*j = l;
}
sat_solver_setnvars(s,maxvar+1);
///////////////////////////////////
// add clause to internal storage
if ( s->pStore )
{
int RetValue = Sto_ManAddClause( (Sto_Man_t *)s->pStore, begin, end );
assert( RetValue );
(void) RetValue;
}
///////////////////////////////////
// delete duplicates
last = lit_Undef;
for (i = j = begin; i < end; i++){
//printf("lit: "L_LIT", value = %d\n", L_lit(*i), (lit_sign(*i) ? -s->assignss[lit_var(*i)] : s->assignss[lit_var(*i)]));
if (*i == lit_neg(last) || var_value(s, lit_var(*i)) == lit_sign(*i))
return true; // tautology
else if (*i != last && var_value(s, lit_var(*i)) == varX)
last = *j++ = *i;
}
// j = i;
if (j == begin) // empty clause
return false;
if (j - begin == 1) // unit clause
return sat_solver_enqueue(s,*begin,0);
// create new clause
sat_solver_clause_new(s,begin,j,0);
return true;
}
double luby(double y, int x)
{
int size, seq;
for (size = 1, seq = 0; size < x+1; seq++, size = 2*size + 1);
while (size-1 != x){
size = (size-1) >> 1;
seq--;
x = x % size;
}
return pow(y, (double)seq);
}
void luby_test()
{
int i;
for ( i = 0; i < 20; i++ )
printf( "%d ", (int)luby(2,i) );
printf( "\n" );
}
static lbool sat_solver_search(sat_solver* s, ABC_INT64_T nof_conflicts)
{
// double var_decay = 0.95;
// double clause_decay = 0.999;
double random_var_freq = s->fNotUseRandom ? 0.0 : 0.02;
ABC_INT64_T conflictC = 0;
veci learnt_clause;
int i;
assert(s->root_level == sat_solver_dl(s));
s->nRestarts++;
s->stats.starts++;
// s->var_decay = (float)(1 / var_decay ); // move this to sat_solver_new()
// s->cla_decay = (float)(1 / clause_decay); // move this to sat_solver_new()
// veci_resize(&s->model,0);
veci_new(&learnt_clause);
// use activity factors in every even restart
if ( (s->nRestarts & 1) && veci_size(&s->act_vars) > 0 )
// if ( veci_size(&s->act_vars) > 0 )
for ( i = 0; i < s->act_vars.size; i++ )
act_var_bump_factor(s, s->act_vars.ptr[i]);
// use activity factors in every restart
if ( s->pGlobalVars && veci_size(&s->act_vars) > 0 )
for ( i = 0; i < s->act_vars.size; i++ )
act_var_bump_global(s, s->act_vars.ptr[i]);
for (;;){
int hConfl = sat_solver_propagate(s);
if (hConfl != 0){
// CONFLICT
int blevel;
#ifdef VERBOSEDEBUG
printf(L_IND"**CONFLICT**\n", L_ind);
#endif
s->stats.conflicts++; conflictC++;
if (sat_solver_dl(s) == s->root_level){
#ifdef SAT_USE_ANALYZE_FINAL
sat_solver_analyze_final(s, hConfl, 0);
#endif
veci_delete(&learnt_clause);
return l_False;
}
veci_resize(&learnt_clause,0);
sat_solver_analyze(s, hConfl, &learnt_clause);
blevel = veci_size(&learnt_clause) > 1 ? var_level(s, lit_var(veci_begin(&learnt_clause)[1])) : s->root_level;
blevel = s->root_level > blevel ? s->root_level : blevel;
sat_solver_canceluntil(s,blevel);
sat_solver_record(s,&learnt_clause);
#ifdef SAT_USE_ANALYZE_FINAL
// if (learnt_clause.size() == 1) level[var(learnt_clause[0])] = 0; // (this is ugly (but needed for 'analyzeFinal()') -- in future versions, we will backtrack past the 'root_level' and redo the assumptions)
if ( learnt_clause.size == 1 )
var_set_level(s, lit_var(learnt_clause.ptr[0]), 0);
#endif
act_var_decay(s);
act_clause_decay(s);
}else{
// NO CONFLICT
int next;
// Reached bound on number of conflicts:
if ( (!s->fNoRestarts && nof_conflicts >= 0 && conflictC >= nof_conflicts) || (s->nRuntimeLimit && (s->stats.conflicts & 63) == 0 && Abc_Clock() > s->nRuntimeLimit)){
s->progress_estimate = sat_solver_progress(s);
sat_solver_canceluntil(s,s->root_level);
veci_delete(&learnt_clause);
return l_Undef; }
// Reached bound on number of conflicts:
if ( (s->nConfLimit && s->stats.conflicts > s->nConfLimit) ||
(s->nInsLimit && s->stats.propagations > s->nInsLimit) )
{
s->progress_estimate = sat_solver_progress(s);
sat_solver_canceluntil(s,s->root_level);
veci_delete(&learnt_clause);
return l_Undef;
}
// Simplify the set of problem clauses:
if (sat_solver_dl(s) == 0 && !s->fSkipSimplify)
sat_solver_simplify(s);
// Reduce the set of learnt clauses:
// if (s->nLearntMax && veci_size(&s->learned) - s->qtail >= s->nLearntMax)
if (s->nLearntMax && veci_size(&s->act_clas) >= s->nLearntMax)
sat_solver_reducedb(s);
// New variable decision:
s->stats.decisions++;
next = order_select(s,(float)random_var_freq);
if (next == var_Undef){
// Model found:
int i;
for (i = 0; i < s->size; i++)
s->model[i] = (var_value(s,i)==var1 ? l_True : l_False);
sat_solver_canceluntil(s,s->root_level);
veci_delete(&learnt_clause);
/*
veci apa; veci_new(&apa);
for (i = 0; i < s->size; i++)
veci_push(&apa,(int)(s->model.ptr[i] == l_True ? toLit(i) : lit_neg(toLit(i))));
printf("model: "); printlits((lit*)apa.ptr, (lit*)apa.ptr + veci_size(&apa)); printf("\n");
veci_delete(&apa);
*/
return l_True;
}
if ( var_polar(s, next) ) // positive polarity
sat_solver_decision(s,toLit(next));
else
sat_solver_decision(s,lit_neg(toLit(next)));
}
}
return l_Undef; // cannot happen
}
// internal call to the SAT solver
int sat_solver_solve_internal(sat_solver* s)
{
lbool status = l_Undef;
int restart_iter = 0;
veci_resize(&s->unit_lits, 0);
s->nCalls++;
if (s->verbosity >= 1){
printf("==================================[MINISAT]===================================\n");
printf("| Conflicts | ORIGINAL | LEARNT | Progress |\n");
printf("| | Clauses Literals | Limit Clauses Literals Lit/Cl | |\n");
printf("==============================================================================\n");
}
while (status == l_Undef){
ABC_INT64_T nof_conflicts;
double Ratio = (s->stats.learnts == 0)? 0.0 :
s->stats.learnts_literals / (double)s->stats.learnts;
if ( s->nRuntimeLimit && Abc_Clock() > s->nRuntimeLimit )
break;
if (s->verbosity >= 1)
{
printf("| %9.0f | %7.0f %8.0f | %7.0f %7.0f %8.0f %7.1f | %6.3f %% |\n",
(double)s->stats.conflicts,
(double)s->stats.clauses,
(double)s->stats.clauses_literals,
(double)0,
(double)s->stats.learnts,
(double)s->stats.learnts_literals,
Ratio,
s->progress_estimate*100);
fflush(stdout);
}
nof_conflicts = (ABC_INT64_T)( 100 * luby(2, restart_iter++) );
status = sat_solver_search(s, nof_conflicts);
// quit the loop if reached an external limit
if ( s->nConfLimit && s->stats.conflicts > s->nConfLimit )
break;
if ( s->nInsLimit && s->stats.propagations > s->nInsLimit )
break;
if ( s->nRuntimeLimit && Abc_Clock() > s->nRuntimeLimit )
break;
if ( s->pFuncStop && s->pFuncStop(s->RunId) )
break;
}
if (s->verbosity >= 1)
printf("==============================================================================\n");
sat_solver_canceluntil(s,s->root_level);
// save variable values
if ( status == l_True && s->user_vars.size )
{
int v;
for ( v = 0; v < s->user_vars.size; v++ )
veci_push(&s->user_values, sat_solver_var_value(s, s->user_vars.ptr[v]));
}
return status;
}
// pushing one assumption to the stack of assumptions
int sat_solver_push(sat_solver* s, int p)
{
assert(lit_var(p) < s->size);
veci_push(&s->trail_lim,s->qtail);
s->root_level++;
if (!sat_solver_enqueue(s,p,0))
{
int h = s->reasons[lit_var(p)];
if (h)
{
if (clause_is_lit(h))
{
(clause_begin(s->binary))[1] = lit_neg(p);
(clause_begin(s->binary))[0] = clause_read_lit(h);
h = s->hBinary;
}
sat_solver_analyze_final(s, h, 1);
veci_push(&s->conf_final, lit_neg(p));
}
else
{
veci_resize(&s->conf_final,0);
veci_push(&s->conf_final, lit_neg(p));
// the two lines below are a bug fix by Siert Wieringa
if (var_level(s, lit_var(p)) > 0)
veci_push(&s->conf_final, p);
}
//sat_solver_canceluntil(s, 0);
return false;
}
else
{
int fConfl = sat_solver_propagate(s);
if (fConfl){
sat_solver_analyze_final(s, fConfl, 0);
//assert(s->conf_final.size > 0);
//sat_solver_canceluntil(s, 0);
return false; }
}
return true;
}
// removing one assumption from the stack of assumptions
void sat_solver_pop(sat_solver* s)
{
assert( sat_solver_dl(s) > 0 );
sat_solver_canceluntil(s, --s->root_level);
}
void sat_solver_set_resource_limits(sat_solver* s, ABC_INT64_T nConfLimit, ABC_INT64_T nInsLimit, ABC_INT64_T nConfLimitGlobal, ABC_INT64_T nInsLimitGlobal)
{
// set the external limits
s->nRestarts = 0;
s->nConfLimit = 0;
s->nInsLimit = 0;
if ( nConfLimit )
s->nConfLimit = s->stats.conflicts + nConfLimit;
if ( nInsLimit )
// s->nInsLimit = s->stats.inspects + nInsLimit;
s->nInsLimit = s->stats.propagations + nInsLimit;
if ( nConfLimitGlobal && (s->nConfLimit == 0 || s->nConfLimit > nConfLimitGlobal) )
s->nConfLimit = nConfLimitGlobal;
if ( nInsLimitGlobal && (s->nInsLimit == 0 || s->nInsLimit > nInsLimitGlobal) )
s->nInsLimit = nInsLimitGlobal;
}
int sat_solver_solve(sat_solver* s, lit* begin, lit* end, ABC_INT64_T nConfLimit, ABC_INT64_T nInsLimit, ABC_INT64_T nConfLimitGlobal, ABC_INT64_T nInsLimitGlobal)
{
lbool status;
lit * i;
////////////////////////////////////////////////
if ( s->fSolved )
{
if ( s->pStore )
{
int RetValue = Sto_ManAddClause( (Sto_Man_t *)s->pStore, NULL, NULL );
assert( RetValue );
(void) RetValue;
}
return l_False;
}
////////////////////////////////////////////////
if ( s->fVerbose )
printf( "Running SAT solver with parameters %d and %d and %d.\n", s->nLearntStart, s->nLearntDelta, s->nLearntRatio );
sat_solver_set_resource_limits( s, nConfLimit, nInsLimit, nConfLimitGlobal, nInsLimitGlobal );
#ifdef SAT_USE_ANALYZE_FINAL
// Perform assumptions:
s->root_level = 0;
for ( i = begin; i < end; i++ )
if ( !sat_solver_push(s, *i) )
{
sat_solver_canceluntil(s,0);
s->root_level = 0;
return l_False;
}
assert(s->root_level == sat_solver_dl(s));
#else
//printf("solve: "); printlits(begin, end); printf("\n");
for (i = begin; i < end; i++){
// switch (lit_sign(*i) ? -s->assignss[lit_var(*i)] : s->assignss[lit_var(*i)]){
switch (var_value(s, *i)) {
case var1: // l_True:
break;
case varX: // l_Undef
sat_solver_decision(s, *i);
if (sat_solver_propagate(s) == 0)
break;
// fallthrough
case var0: // l_False
sat_solver_canceluntil(s, 0);
return l_False;
}
}
s->root_level = sat_solver_dl(s);
#endif
status = sat_solver_solve_internal(s);
sat_solver_canceluntil(s,0);
s->root_level = 0;
////////////////////////////////////////////////
if ( status == l_False && s->pStore )
{
int RetValue = Sto_ManAddClause( (Sto_Man_t *)s->pStore, NULL, NULL );
assert( RetValue );
(void) RetValue;
}
////////////////////////////////////////////////
return status;
}
// This LEXSAT procedure should be called with a set of literals (pLits, nLits),
// which defines both (1) variable order, and (2) assignment to begin search from.
// It retuns the LEXSAT assigment that is the same or larger than the given one.
// (It assumes that there is no smaller assignment than the one given!)
// The resulting assignment is returned in the same set of literals (pLits, nLits).
// It pushes/pops assumptions internally and will undo them before terminating.
int sat_solver_solve_lexsat( sat_solver* s, int * pLits, int nLits )
{
int i, iLitFail = -1;
lbool status;
assert( nLits > 0 );
// help the SAT solver by setting desirable polarity
sat_solver_set_literal_polarity( s, pLits, nLits );
// check if there exists a satisfying assignment
status = sat_solver_solve_internal( s );
if ( status != l_True ) // no assignment
return status;
// there is at least one satisfying assignment
assert( status == l_True );
// find the first mismatching literal
for ( i = 0; i < nLits; i++ )
if ( pLits[i] != sat_solver_var_literal(s, Abc_Lit2Var(pLits[i])) )
break;
if ( i == nLits ) // no mismatch - the current assignment is the minimum one!
return l_True;
// mismatch happens in literal i
iLitFail = i;
// create assumptions up to this literal (as in pLits) - including this literal!
for ( i = 0; i <= iLitFail; i++ )
if ( !sat_solver_push(s, pLits[i]) ) // can become UNSAT while adding the last assumption
break;
if ( i < iLitFail + 1 ) // the solver became UNSAT while adding assumptions
status = l_False;
else // solve under the assumptions
status = sat_solver_solve_internal( s );
if ( status == l_True )
{
// we proved that there is a sat assignment with literal (iLitFail) having polarity as in pLits
// continue solving recursively
if ( iLitFail + 1 < nLits )
status = sat_solver_solve_lexsat( s, pLits + iLitFail + 1, nLits - iLitFail - 1 );
}
else if ( status == l_False )
{
// we proved that there is no assignment with iLitFail having polarity as in pLits
assert( Abc_LitIsCompl(pLits[iLitFail]) ); // literal is 0
// (this assert may fail only if there is a sat assignment smaller than one originally given in pLits)
// now we flip this literal (make it 1), change the last assumption
// and contiue looking for the 000...0-assignment of other literals
sat_solver_pop( s );
pLits[iLitFail] = Abc_LitNot(pLits[iLitFail]);
if ( !sat_solver_push(s, pLits[iLitFail]) )
printf( "sat_solver_solve_lexsat(): A satisfying assignment should exist.\n" ); // because we know that the problem is satisfiable
// update other literals to be 000...0
for ( i = iLitFail + 1; i < nLits; i++ )
pLits[i] = Abc_LitNot( Abc_LitRegular(pLits[i]) );
// continue solving recursively
if ( iLitFail + 1 < nLits )
status = sat_solver_solve_lexsat( s, pLits + iLitFail + 1, nLits - iLitFail - 1 );
else
status = l_True;
}
// undo the assumptions
for ( i = iLitFail; i >= 0; i-- )
sat_solver_pop( s );
return status;
}
// This procedure is called on a set of assumptions to minimize their number.
// The procedure relies on the fact that the current set of assumptions is UNSAT.
// It receives and returns SAT solver without assumptions. It returns the number
// of assumptions after minimization. The set of assumptions is returned in pLits.
int sat_solver_minimize_assumptions( sat_solver* s, int * pLits, int nLits, int nConfLimit )
{
int i, k, nLitsL, nLitsR, nResL, nResR, status;
if ( nLits == 1 )
{
// since the problem is UNSAT, we will try to solve it without assuming the last literal
// if the result is UNSAT, the last literal can be dropped; otherwise, it is needed
if ( nConfLimit ) s->nConfLimit = s->stats.conflicts + nConfLimit;
status = sat_solver_solve_internal( s );
//printf( "%c", status == l_False ? 'u' : 's' );
return (int)(status != l_False); // return 1 if the problem is not UNSAT
}
assert( nLits >= 2 );
nLitsL = nLits / 2;
nLitsR = nLits - nLitsL;
// assume the left lits
for ( i = 0; i < nLitsL; i++ )
if ( !sat_solver_push(s, pLits[i]) )
{
for ( k = i; k >= 0; k-- )
sat_solver_pop(s);
return sat_solver_minimize_assumptions( s, pLits, i+1, nConfLimit );
}
// solve with these assumptions
if ( nConfLimit ) s->nConfLimit = s->stats.conflicts + nConfLimit;
status = sat_solver_solve_internal( s );
if ( status == l_False ) // these are enough
{
for ( i = 0; i < nLitsL; i++ )
sat_solver_pop(s);
return sat_solver_minimize_assumptions( s, pLits, nLitsL, nConfLimit );
}
// solve for the right lits
nResL = nLitsR == 1 ? 1 : sat_solver_minimize_assumptions( s, pLits + nLitsL, nLitsR, nConfLimit );
for ( i = 0; i < nLitsL; i++ )
sat_solver_pop(s);
// swap literals
// assert( nResL <= nLitsL );
// for ( i = 0; i < nResL; i++ )
// ABC_SWAP( int, pLits[i], pLits[nLitsL+i] );
veci_resize( &s->temp_clause, 0 );
for ( i = 0; i < nLitsL; i++ )
veci_push( &s->temp_clause, pLits[i] );
for ( i = 0; i < nResL; i++ )
pLits[i] = pLits[nLitsL+i];
for ( i = 0; i < nLitsL; i++ )
pLits[nResL+i] = veci_begin(&s->temp_clause)[i];
// assume the right lits
for ( i = 0; i < nResL; i++ )
if ( !sat_solver_push(s, pLits[i]) )
{
for ( k = i; k >= 0; k-- )
sat_solver_pop(s);
return sat_solver_minimize_assumptions( s, pLits, i+1, nConfLimit );
}
// solve with these assumptions
if ( nConfLimit ) s->nConfLimit = s->stats.conflicts + nConfLimit;
status = sat_solver_solve_internal( s );
if ( status == l_False ) // these are enough
{
for ( i = 0; i < nResL; i++ )
sat_solver_pop(s);
return nResL;
}
// solve for the left lits
nResR = nLitsL == 1 ? 1 : sat_solver_minimize_assumptions( s, pLits + nResL, nLitsL, nConfLimit );
for ( i = 0; i < nResL; i++ )
sat_solver_pop(s);
return nResL + nResR;
}
// This is a specialized version of the above procedure with several custom changes:
// - makes sure that at least one of the marked literals is preserved in the clause
// - sets literals to zero when they do not have to be used
// - sets literals to zero for disproved variables
int sat_solver_minimize_assumptions2( sat_solver* s, int * pLits, int nLits, int nConfLimit )
{
int i, k, nLitsL, nLitsR, nResL, nResR;
if ( nLits == 1 )
{
// since the problem is UNSAT, we will try to solve it without assuming the last literal
// if the result is UNSAT, the last literal can be dropped; otherwise, it is needed
int RetValue = 1, LitNot = Abc_LitNot(pLits[0]);
int status = l_False;
int Temp = s->nConfLimit;
s->nConfLimit = nConfLimit;
RetValue = sat_solver_push( s, LitNot ); assert( RetValue );
status = sat_solver_solve_internal( s );
sat_solver_pop( s );
// if the problem is UNSAT, add clause
if ( status == l_False )
{
RetValue = sat_solver_addclause( s, &LitNot, &LitNot+1 );
assert( RetValue );
}
s->nConfLimit = Temp;
return (int)(status != l_False); // return 1 if the problem is not UNSAT
}
assert( nLits >= 2 );
nLitsL = nLits / 2;
nLitsR = nLits - nLitsL;
// assume the left lits
for ( i = 0; i < nLitsL; i++ )
if ( !sat_solver_push(s, pLits[i]) )
{
for ( k = i; k >= 0; k-- )
sat_solver_pop(s);
// add clauses for these literal
for ( k = i+1; k > nLitsL; k++ )
{
int LitNot = Abc_LitNot(pLits[i]);
int RetValue = sat_solver_addclause( s, &LitNot, &LitNot+1 );
assert( RetValue );
}
return sat_solver_minimize_assumptions2( s, pLits, i+1, nConfLimit );
}
// solve for the right lits
nResL = sat_solver_minimize_assumptions2( s, pLits + nLitsL, nLitsR, nConfLimit );
for ( i = 0; i < nLitsL; i++ )
sat_solver_pop(s);
// swap literals
// assert( nResL <= nLitsL );
veci_resize( &s->temp_clause, 0 );
for ( i = 0; i < nLitsL; i++ )
veci_push( &s->temp_clause, pLits[i] );
for ( i = 0; i < nResL; i++ )
pLits[i] = pLits[nLitsL+i];
for ( i = 0; i < nLitsL; i++ )
pLits[nResL+i] = veci_begin(&s->temp_clause)[i];
// assume the right lits
for ( i = 0; i < nResL; i++ )
if ( !sat_solver_push(s, pLits[i]) )
{
for ( k = i; k >= 0; k-- )
sat_solver_pop(s);
// add clauses for these literal
for ( k = i+1; k > nResL; k++ )
{
int LitNot = Abc_LitNot(pLits[i]);
int RetValue = sat_solver_addclause( s, &LitNot, &LitNot+1 );
assert( RetValue );
}
return sat_solver_minimize_assumptions2( s, pLits, i+1, nConfLimit );
}
// solve for the left lits
nResR = sat_solver_minimize_assumptions2( s, pLits + nResL, nLitsL, nConfLimit );
for ( i = 0; i < nResL; i++ )
sat_solver_pop(s);
return nResL + nResR;
}
int sat_solver_nvars(sat_solver* s)
{
return s->size;
}
int sat_solver_nclauses(sat_solver* s)
{
return s->stats.clauses;
}
int sat_solver_nconflicts(sat_solver* s)
{
return (int)s->stats.conflicts;
}
//=================================================================================================
// Clause storage functions:
void sat_solver_store_alloc( sat_solver * s )
{
assert( s->pStore == NULL );
s->pStore = Sto_ManAlloc();
}
void sat_solver_store_write( sat_solver * s, char * pFileName )
{
if ( s->pStore ) Sto_ManDumpClauses( (Sto_Man_t *)s->pStore, pFileName );
}
void sat_solver_store_free( sat_solver * s )
{
if ( s->pStore ) Sto_ManFree( (Sto_Man_t *)s->pStore );
s->pStore = NULL;
}
int sat_solver_store_change_last( sat_solver * s )
{
if ( s->pStore ) return Sto_ManChangeLastClause( (Sto_Man_t *)s->pStore );
return -1;
}
void sat_solver_store_mark_roots( sat_solver * s )
{
if ( s->pStore ) Sto_ManMarkRoots( (Sto_Man_t *)s->pStore );
}
void sat_solver_store_mark_clauses_a( sat_solver * s )
{
if ( s->pStore ) Sto_ManMarkClausesA( (Sto_Man_t *)s->pStore );
}
void * sat_solver_store_release( sat_solver * s )
{
void * pTemp;
if ( s->pStore == NULL )
return NULL;
pTemp = s->pStore;
s->pStore = NULL;
return pTemp;
}
ABC_NAMESPACE_IMPL_END
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