/**CFile**************************************************************** FileName [AbcGlucose.cpp] SystemName [ABC: Logic synthesis and verification system.] PackageName [SAT solver Glucose 3.0 by Gilles Audemard and Laurent Simon.] Synopsis [Interface to Glucose.] Author [Alan Mishchenko] Affiliation [UC Berkeley] Date [Ver. 1.0. Started - September 6, 2017.] Revision [$Id: AbcGlucose.cpp,v 1.00 2005/06/20 00:00:00 alanmi Exp $] ***********************************************************************/ #include "sat/glucose/System.h" #include "sat/glucose/ParseUtils.h" #include "sat/glucose/Options.h" #include "sat/glucose/Dimacs.h" #include "sat/glucose/SimpSolver.h" #include "sat/glucose/AbcGlucose.h" #include "aig/gia/gia.h" #include "sat/cnf/cnf.h" #include "misc/extra/extra.h" using namespace Gluco; ABC_NAMESPACE_IMPL_START extern "C" { //////////////////////////////////////////////////////////////////////// /// DECLARATIONS /// //////////////////////////////////////////////////////////////////////// #define USE_SIMP_SOLVER 1 //////////////////////////////////////////////////////////////////////// /// FUNCTION DEFINITIONS /// //////////////////////////////////////////////////////////////////////// #ifdef USE_SIMP_SOLVER /**Function************************************************************* Synopsis [] Description [] SideEffects [] SeeAlso [] ***********************************************************************/ Gluco::SimpSolver * glucose_solver_start() { SimpSolver * S = new SimpSolver; S->setIncrementalMode(); return S; } void glucose_solver_stop(Gluco::SimpSolver* S) { delete S; } void glucose_solver_reset(Gluco::SimpSolver* S) { S->reset(); } int glucose_solver_addclause(Gluco::SimpSolver* S, int * plits, int nlits) { vec lits; for ( int i = 0; i < nlits; i++,plits++) { // note: Glucose uses the same var->lit conventiaon as ABC while ((*plits)/2 >= S->nVars()) S->newVar(); assert((*plits)/2 < S->nVars()); // NOTE: since we explicitely use new function bmc_add_var Lit p; p.x = *plits; lits.push(p); } return S->addClause(lits); // returns 0 if the problem is UNSAT } void glucose_solver_setcallback(Gluco::SimpSolver* S, void * pman, int(*pfunc)(void*, int, int*)) { S->pCnfMan = pman; S->pCnfFunc = pfunc; S->nCallConfl = 1000; } int glucose_solver_solve(Gluco::SimpSolver* S, int * plits, int nlits) { vec lits; for (int i=0;isolveLimited(lits, 0); return (res == l_True ? 1 : res == l_False ? -1 : 0); } int glucose_solver_addvar(Gluco::SimpSolver* S) { S->newVar(); return S->nVars() - 1; } int glucose_solver_read_cex_varvalue(Gluco::SimpSolver* S, int ivar) { return S->model[ivar] == l_True; } void glucose_solver_setstop(Gluco::SimpSolver* S, int * pstop) { S->pstop = pstop; } /**Function************************************************************* Synopsis [Wrapper APIs to calling from ABC.] Description [] SideEffects [] SeeAlso [] ***********************************************************************/ bmcg_sat_solver * bmcg_sat_solver_start() { return (bmcg_sat_solver *)glucose_solver_start(); } void bmcg_sat_solver_stop(bmcg_sat_solver* s) { glucose_solver_stop((Gluco::SimpSolver*)s); } void bmcg_sat_solver_reset(bmcg_sat_solver* s) { glucose_solver_reset((Gluco::SimpSolver*)s); } int bmcg_sat_solver_addclause(bmcg_sat_solver* s, int * plits, int nlits) { return glucose_solver_addclause((Gluco::SimpSolver*)s,plits,nlits); } void bmcg_sat_solver_setcallback(bmcg_sat_solver* s, void * pman, int(*pfunc)(void*, int, int*)) { glucose_solver_setcallback((Gluco::SimpSolver*)s,pman,pfunc); } int bmcg_sat_solver_solve(bmcg_sat_solver* s, int * plits, int nlits) { return glucose_solver_solve((Gluco::SimpSolver*)s,plits,nlits); } int bmcg_sat_solver_final(bmcg_sat_solver* s, int ** ppArray) { *ppArray = (int *)(Lit *)((Gluco::SimpSolver*)s)->conflict; return ((Gluco::SimpSolver*)s)->conflict.size(); } int bmcg_sat_solver_addvar(bmcg_sat_solver* s) { return glucose_solver_addvar((Gluco::SimpSolver*)s); } void bmcg_sat_solver_set_nvars( bmcg_sat_solver* s, int nvars ) { int i; for ( i = bmcg_sat_solver_varnum(s); i < nvars; i++ ) bmcg_sat_solver_addvar(s); } int bmcg_sat_solver_eliminate( bmcg_sat_solver* s, int turn_off_elim ) { // return 1; return ((Gluco::SimpSolver*)s)->eliminate(turn_off_elim != 0); } int bmcg_sat_solver_var_is_elim( bmcg_sat_solver* s, int v ) { // return 0; return ((Gluco::SimpSolver*)s)->isEliminated(v); } void bmcg_sat_solver_var_set_frozen( bmcg_sat_solver* s, int v, int freeze ) { ((Gluco::SimpSolver*)s)->setFrozen(v, freeze != 0); } int bmcg_sat_solver_elim_varnum(bmcg_sat_solver* s) { // return 0; return ((Gluco::SimpSolver*)s)->eliminated_vars; } int bmcg_sat_solver_read_cex_varvalue(bmcg_sat_solver* s, int ivar) { return glucose_solver_read_cex_varvalue((Gluco::SimpSolver*)s, ivar); } void bmcg_sat_solver_set_stop(bmcg_sat_solver* s, int * pstop) { glucose_solver_setstop((Gluco::SimpSolver*)s, pstop); } abctime bmcg_sat_solver_set_runtime_limit(bmcg_sat_solver* s, abctime Limit) { abctime nRuntimeLimit = ((Gluco::SimpSolver*)s)->nRuntimeLimit; ((Gluco::SimpSolver*)s)->nRuntimeLimit = Limit; return nRuntimeLimit; } void bmcg_sat_solver_set_conflict_budget(bmcg_sat_solver* s, int Limit) { if ( Limit > 0 ) ((Gluco::SimpSolver*)s)->setConfBudget( (int64_t)Limit ); else ((Gluco::SimpSolver*)s)->budgetOff(); } int bmcg_sat_solver_varnum(bmcg_sat_solver* s) { return ((Gluco::SimpSolver*)s)->nVars(); } int bmcg_sat_solver_clausenum(bmcg_sat_solver* s) { return ((Gluco::SimpSolver*)s)->nClauses(); } int bmcg_sat_solver_learntnum(bmcg_sat_solver* s) { return ((Gluco::SimpSolver*)s)->nLearnts(); } int bmcg_sat_solver_conflictnum(bmcg_sat_solver* s) { return ((Gluco::SimpSolver*)s)->conflicts; } int bmcg_sat_solver_minimize_assumptions( bmcg_sat_solver * s, int * plits, int nlits, int pivot ) { vec*array = &((Gluco::SimpSolver*)s)->user_vec; int i, nlitsL, nlitsR, nresL, nresR, status; assert( pivot >= 0 ); // assert( nlits - pivot >= 2 ); assert( nlits - pivot >= 1 ); if ( nlits - pivot == 1 ) { // since the problem is UNSAT, we try to solve it without assuming the last literal // if the result is UNSAT, the last literal can be dropped; otherwise, it is needed status = bmcg_sat_solver_solve( s, plits, pivot ); return status != GLUCOSE_UNSAT; // return 1 if the problem is not UNSAT } assert( nlits - pivot >= 2 ); nlitsL = (nlits - pivot) / 2; nlitsR = (nlits - pivot) - nlitsL; assert( nlitsL + nlitsR == nlits - pivot ); // solve with these assumptions status = bmcg_sat_solver_solve( s, plits, pivot + nlitsL ); if ( status == GLUCOSE_UNSAT ) // these are enough return bmcg_sat_solver_minimize_assumptions( s, plits, pivot + nlitsL, pivot ); // these are not enough // solve for the right lits // nResL = nLitsR == 1 ? 1 : sat_solver_minimize_assumptions( s, pLits + nLitsL, nLitsR, nConfLimit ); nresL = nlitsR == 1 ? 1 : bmcg_sat_solver_minimize_assumptions( s, plits, nlits, pivot + nlitsL ); // swap literals array->clear(); for ( i = 0; i < nlitsL; i++ ) array->push(plits[pivot + i]); for ( i = 0; i < nresL; i++ ) plits[pivot + i] = plits[pivot + nlitsL + i]; for ( i = 0; i < nlitsL; i++ ) plits[pivot + nresL + i] = (*array)[i]; // solve with these assumptions status = bmcg_sat_solver_solve( s, plits, pivot + nresL ); if ( status == GLUCOSE_UNSAT ) // these are enough return nresL; // solve for the left lits // nResR = nLitsL == 1 ? 1 : sat_solver_minimize_assumptions( s, pLits + nResL, nLitsL, nConfLimit ); nresR = nlitsL == 1 ? 1 : bmcg_sat_solver_minimize_assumptions( s, plits, pivot + nresL + nlitsL, pivot + nresL ); return nresL + nresR; } int bmcg_sat_solver_add_and( bmcg_sat_solver * s, int iVar, int iVar0, int iVar1, int fCompl0, int fCompl1, int fCompl ) { int Lits[3]; Lits[0] = Abc_Var2Lit( iVar, !fCompl ); Lits[1] = Abc_Var2Lit( iVar0, fCompl0 ); if ( !bmcg_sat_solver_addclause( s, Lits, 2 ) ) return 0; Lits[0] = Abc_Var2Lit( iVar, !fCompl ); Lits[1] = Abc_Var2Lit( iVar1, fCompl1 ); if ( !bmcg_sat_solver_addclause( s, Lits, 2 ) ) return 0; Lits[0] = Abc_Var2Lit( iVar, fCompl ); Lits[1] = Abc_Var2Lit( iVar0, !fCompl0 ); Lits[2] = Abc_Var2Lit( iVar1, !fCompl1 ); if ( !bmcg_sat_solver_addclause( s, Lits, 3 ) ) return 0; return 1; } #else /**Function************************************************************* Synopsis [] Description [] SideEffects [] SeeAlso [] ***********************************************************************/ Gluco::Solver * glucose_solver_start() { Solver * S = new Solver; S->setIncrementalMode(); return S; } void glucose_solver_stop(Gluco::Solver* S) { delete S; } int glucose_solver_addclause(Gluco::Solver* S, int * plits, int nlits) { vec lits; for ( int i = 0; i < nlits; i++,plits++) { // note: Glucose uses the same var->lit conventiaon as ABC while ((*plits)/2 >= S->nVars()) S->newVar(); assert((*plits)/2 < S->nVars()); // NOTE: since we explicitely use new function bmc_add_var Lit p; p.x = *plits; lits.push(p); } return S->addClause(lits); // returns 0 if the problem is UNSAT } void glucose_solver_setcallback(Gluco::Solver* S, void * pman, int(*pfunc)(void*, int, int*)) { S->pCnfMan = pman; S->pCnfFunc = pfunc; S->nCallConfl = 1000; } int glucose_solver_solve(Gluco::Solver* S, int * plits, int nlits) { vec lits; for (int i=0;isolveLimited(lits); return (res == l_True ? 1 : res == l_False ? -1 : 0); } int glucose_solver_addvar(Gluco::Solver* S) { S->newVar(); return S->nVars() - 1; } int glucose_solver_read_cex_varvalue(Gluco::Solver* S, int ivar) { return S->model[ivar] == l_True; } void glucose_solver_setstop(Gluco::Solver* S, int * pstop) { S->pstop = pstop; } /**Function************************************************************* Synopsis [Wrapper APIs to calling from ABC.] Description [] SideEffects [] SeeAlso [] ***********************************************************************/ bmcg_sat_solver * bmcg_sat_solver_start() { return (bmcg_sat_solver *)glucose_solver_start(); } void bmcg_sat_solver_stop(bmcg_sat_solver* s) { glucose_solver_stop((Gluco::Solver*)s); } int bmcg_sat_solver_addclause(bmcg_sat_solver* s, int * plits, int nlits) { return glucose_solver_addclause((Gluco::Solver*)s,plits,nlits); } void bmcg_sat_solver_setcallback(bmcg_sat_solver* s, void * pman, int(*pfunc)(void*, int, int*)) { glucose_solver_setcallback((Gluco::Solver*)s,pman,pfunc); } int bmcg_sat_solver_solve(bmcg_sat_solver* s, int * plits, int nlits) { return glucose_solver_solve((Gluco::Solver*)s,plits,nlits); } int bmcg_sat_solver_final(bmcg_sat_solver* s, int ** ppArray) { *ppArray = (int *)(Lit *)((Gluco::Solver*)s)->conflict; return ((Gluco::Solver*)s)->conflict.size(); } int bmcg_sat_solver_addvar(bmcg_sat_solver* s) { return glucose_solver_addvar((Gluco::Solver*)s); } void bmcg_sat_solver_set_nvars( bmcg_sat_solver* s, int nvars ) { int i; for ( i = bmcg_sat_solver_varnum(s); i < nvars; i++ ) bmcg_sat_solver_addvar(s); } int bmcg_sat_solver_eliminate( bmcg_sat_solver* s, int turn_off_elim ) { return 1; // return ((Gluco::SimpSolver*)s)->eliminate(turn_off_elim != 0); } int bmcg_sat_solver_var_is_elim( bmcg_sat_solver* s, int v ) { return 0; // return ((Gluco::SimpSolver*)s)->isEliminated(v); } void bmcg_sat_solver_var_set_frozen( bmcg_sat_solver* s, int v, int freeze ) { // ((Gluco::SimpSolver*)s)->setFrozen(v, freeze); } int bmcg_sat_solver_elim_varnum(bmcg_sat_solver* s) { return 0; // return ((Gluco::SimpSolver*)s)->eliminated_vars; } int bmcg_sat_solver_read_cex_varvalue(bmcg_sat_solver* s, int ivar) { return glucose_solver_read_cex_varvalue((Gluco::Solver*)s, ivar); } void bmcg_sat_solver_set_stop(bmcg_sat_solver* s, int * pstop) { glucose_solver_setstop((Gluco::Solver*)s, pstop); } abctime bmcg_sat_solver_set_runtime_limit(bmcg_sat_solver* s, abctime Limit) { abctime nRuntimeLimit = ((Gluco::Solver*)s)->nRuntimeLimit; ((Gluco::Solver*)s)->nRuntimeLimit = Limit; return nRuntimeLimit; } void bmcg_sat_solver_set_conflict_budget(bmcg_sat_solver* s, int Limit) { if ( Limit > 0 ) ((Gluco::Solver*)s)->setConfBudget( (int64_t)Limit ); else ((Gluco::Solver*)s)->budgetOff(); } int bmcg_sat_solver_varnum(bmcg_sat_solver* s) { return ((Gluco::Solver*)s)->nVars(); } int bmcg_sat_solver_clausenum(bmcg_sat_solver* s) { return ((Gluco::Solver*)s)->nClauses(); } int bmcg_sat_solver_learntnum(bmcg_sat_solver* s) { return ((Gluco::Solver*)s)->nLearnts(); } int bmcg_sat_solver_conflictnum(bmcg_sat_solver* s) { return ((Gluco::Solver*)s)->conflicts; } int bmcg_sat_solver_minimize_assumptions( bmcg_sat_solver * s, int * plits, int nlits, int pivot ) { vec*array = &((Gluco::Solver*)s)->user_vec; int i, nlitsL, nlitsR, nresL, nresR, status; assert( pivot >= 0 ); // assert( nlits - pivot >= 2 ); assert( nlits - pivot >= 1 ); if ( nlits - pivot == 1 ) { // since the problem is UNSAT, we try to solve it without assuming the last literal // if the result is UNSAT, the last literal can be dropped; otherwise, it is needed status = bmcg_sat_solver_solve( s, plits, pivot ); return status != GLUCOSE_UNSAT; // return 1 if the problem is not UNSAT } assert( nlits - pivot >= 2 ); nlitsL = (nlits - pivot) / 2; nlitsR = (nlits - pivot) - nlitsL; assert( nlitsL + nlitsR == nlits - pivot ); // solve with these assumptions status = bmcg_sat_solver_solve( s, plits, pivot + nlitsL ); if ( status == GLUCOSE_UNSAT ) // these are enough return bmcg_sat_solver_minimize_assumptions( s, plits, pivot + nlitsL, pivot ); // these are not enough // solve for the right lits // nResL = nLitsR == 1 ? 1 : sat_solver_minimize_assumptions( s, pLits + nLitsL, nLitsR, nConfLimit ); nresL = nlitsR == 1 ? 1 : bmcg_sat_solver_minimize_assumptions( s, plits, nlits, pivot + nlitsL ); // swap literals array->clear(); for ( i = 0; i < nlitsL; i++ ) array->push(plits[pivot + i]); for ( i = 0; i < nresL; i++ ) plits[pivot + i] = plits[pivot + nlitsL + i]; for ( i = 0; i < nlitsL; i++ ) plits[pivot + nresL + i] = (*array)[i]; // solve with these assumptions status = bmcg_sat_solver_solve( s, plits, pivot + nresL ); if ( status == GLUCOSE_UNSAT ) // these are enough return nresL; // solve for the left lits // nResR = nLitsL == 1 ? 1 : sat_solver_minimize_assumptions( s, pLits + nResL, nLitsL, nConfLimit ); nresR = nlitsL == 1 ? 1 : bmcg_sat_solver_minimize_assumptions( s, plits, pivot + nresL + nlitsL, pivot + nresL ); return nresL + nresR; } #endif /**Function************************************************************* Synopsis [] Description [] SideEffects [] SeeAlso [] ***********************************************************************/ void glucose_print_stats(SimpSolver& s, abctime clk) { double cpu_time = (double)(unsigned)clk / CLOCKS_PER_SEC; double mem_used = memUsed(); printf("c restarts : %d (%d conflicts on average)\n", (int)s.starts, s.starts > 0 ? (int)(s.conflicts/s.starts) : 0); printf("c blocked restarts : %d (multiple: %d) \n", (int)s.nbstopsrestarts, (int)s.nbstopsrestartssame); printf("c last block at restart : %d\n", (int)s.lastblockatrestart); printf("c nb ReduceDB : %-12d\n", (int)s.nbReduceDB); printf("c nb removed Clauses : %-12d\n", (int)s.nbRemovedClauses); printf("c nb learnts DL2 : %-12d\n", (int)s.nbDL2); printf("c nb learnts size 2 : %-12d\n", (int)s.nbBin); printf("c nb learnts size 1 : %-12d\n", (int)s.nbUn); printf("c conflicts : %-12d (%.0f /sec)\n", (int)s.conflicts, s.conflicts /cpu_time); printf("c decisions : %-12d (%4.2f %% random) (%.0f /sec)\n", (int)s.decisions, (float)s.rnd_decisions*100 / (float)s.decisions, s.decisions /cpu_time); printf("c propagations : %-12d (%.0f /sec)\n", (int)s.propagations, s.propagations/cpu_time); printf("c conflict literals : %-12d (%4.2f %% deleted)\n", (int)s.tot_literals, (s.max_literals - s.tot_literals)*100 / (double)s.max_literals); printf("c nb reduced Clauses : %-12d\n", (int)s.nbReducedClauses); if (mem_used != 0) printf("Memory used : %.2f MB\n", mem_used); //printf("c CPU time : %.2f sec\n", cpu_time); } /**Function************************************************************* Synopsis [] Description [] SideEffects [] SeeAlso [] ***********************************************************************/ void Glucose_ReadDimacs( char * pFileName, SimpSolver& s ) { vec * lits = &s.user_lits; char * pBuffer = Extra_FileReadContents( pFileName ); char * pTemp; int fComp, Var, VarMax = 0; lits->clear(); for ( pTemp = pBuffer; *pTemp; pTemp++ ) { if ( *pTemp == 'c' || *pTemp == 'p' ) { while ( *pTemp != '\n' ) pTemp++; continue; } while ( *pTemp == ' ' || *pTemp == '\t' || *pTemp == '\r' || *pTemp == '\n' ) pTemp++; fComp = 0; if ( *pTemp == '-' ) fComp = 1, pTemp++; if ( *pTemp == '+' ) pTemp++; Var = atoi( pTemp ); if ( Var == 0 ) { if ( lits->size() > 0 ) { s.addVar( VarMax ); s.addClause(*lits); lits->clear(); } } else { Var--; VarMax = Abc_MaxInt( VarMax, Var ); lits->push( toLit(Abc_Var2Lit(Var, fComp)) ); } while ( *pTemp >= '0' && *pTemp <= '9' ) pTemp++; } ABC_FREE( pBuffer ); } /**Function************************************************************* Synopsis [] Description [] SideEffects [] SeeAlso [] ***********************************************************************/ void Glucose_SolveCnf( char * pFileName, Glucose_Pars * pPars ) { abctime clk = Abc_Clock(); SimpSolver S; S.verbosity = pPars->verb; S.setConfBudget( pPars->nConfls > 0 ? (int64_t)pPars->nConfls : -1 ); // gzFile in = gzopen(pFilename, "rb"); // parse_DIMACS(in, S); // gzclose(in); Glucose_ReadDimacs( pFileName, S ); if ( pPars->verb ) { printf("c ============================[ Problem Statistics ]=============================\n"); printf("c | |\n"); printf("c | Number of variables: %12d |\n", S.nVars()); printf("c | Number of clauses: %12d |\n", S.nClauses()); } if ( pPars->pre ) { S.eliminate(true); printf( "c Simplication removed %d variables and %d clauses. ", S.eliminated_vars, S.eliminated_clauses ); Abc_PrintTime( 1, "Time", Abc_Clock() - clk ); } vec dummy; lbool ret = S.solveLimited(dummy, 0); if ( pPars->verb ) glucose_print_stats(S, Abc_Clock() - clk); printf(ret == l_True ? "SATISFIABLE" : ret == l_False ? "UNSATISFIABLE" : "INDETERMINATE"); Abc_PrintTime( 1, " Time", Abc_Clock() - clk ); } /**Function************************************************************* Synopsis [] Description [] SideEffects [] SeeAlso [] ***********************************************************************/ Vec_Int_t * Glucose_SolverFromAig( Gia_Man_t * p, SimpSolver& s ) { abctime clk = Abc_Clock(); vec * lits = &s.user_lits; Cnf_Dat_t * pCnf = (Cnf_Dat_t *)Mf_ManGenerateCnf( p, 8 /*nLutSize*/, 0 /*fCnfObjIds*/, 1/*fAddOrCla*/, 0, 0/*verbose*/ ); for ( int i = 0; i < pCnf->nClauses; i++ ) { lits->clear(); for ( int * pLit = pCnf->pClauses[i]; pLit < pCnf->pClauses[i+1]; pLit++ ) lits->push( toLit(*pLit) ), s.addVar( *pLit >> 1 ); s.addClause(*lits); } Vec_Int_t * vCnfIds = Vec_IntAllocArrayCopy(pCnf->pVarNums,pCnf->nVars); printf( "CNF stats: Vars = %6d. Clauses = %7d. Literals = %8d. ", pCnf->nVars, pCnf->nClauses, pCnf->nLiterals ); Abc_PrintTime( 1, "Time", Abc_Clock() - clk ); Cnf_DataFree(pCnf); return vCnfIds; } // procedure below does not work because glucose_solver_addclause() expects Solver Vec_Int_t * Glucose_SolverFromAig2( Gia_Man_t * p, SimpSolver& S ) { Cnf_Dat_t * pCnf = (Cnf_Dat_t *)Mf_ManGenerateCnf( p, 8 /*nLutSize*/, 0 /*fCnfObjIds*/, 1/*fAddOrCla*/, 0, 0/*verbose*/ ); for ( int i = 0; i < pCnf->nClauses; i++ ) if ( !glucose_solver_addclause( &S, pCnf->pClauses[i], pCnf->pClauses[i+1]-pCnf->pClauses[i] ) ) assert( 0 ); Vec_Int_t * vCnfIds = Vec_IntAllocArrayCopy(pCnf->pVarNums,pCnf->nVars); //printf( "CNF stats: Vars = %6d. Clauses = %7d. Literals = %8d. ", pCnf->nVars, pCnf->nClauses, pCnf->nLiterals ); //Abc_PrintTime( 1, "Time", Abc_Clock() - clk ); Cnf_DataFree(pCnf); return vCnfIds; } /**Function************************************************************* Synopsis [] Description [] SideEffects [] SeeAlso [] ***********************************************************************/ Vec_Str_t * Glucose_GenerateCubes( bmcg_sat_solver * pSat[2], Vec_Int_t * vAllVars, Vec_Int_t * vVarMap ) { int fCreatePrime = 1; int nVars = Vec_IntCountLarger( vVarMap, -1 ); Vec_Str_t * vSop = Vec_StrAlloc( 1000 ); Vec_Int_t * vLits = Vec_IntAlloc( Vec_IntSize(vAllVars) ); Vec_Str_t * vCube = Vec_StrAlloc( nVars + 4 ); Vec_StrFill( vCube, nVars, '-' ); Vec_StrPrintF( vCube, " 1\n\0" ); while ( 1 ) { int * pFinal, nFinal, iVar, i, k = 0; // generate onset minterm int status = bmcg_sat_solver_solve( pSat[1], NULL, 0 ); if ( status == GLUCOSE_UNSAT ) break; assert( status == GLUCOSE_SAT ); Vec_IntClear( vLits ); Vec_IntForEachEntry( vAllVars, iVar, i ) Vec_IntPush( vLits, Abc_Var2Lit(iVar, !bmcg_sat_solver_read_cex_varvalue(pSat[1], iVar)) ); // expand against offset if ( fCreatePrime ) { nFinal = bmcg_sat_solver_minimize_assumptions( pSat[0], Vec_IntArray(vLits), Vec_IntSize(vLits), 0 ); Vec_IntShrink( vLits, nFinal ); pFinal = Vec_IntArray( vLits ); for ( i = 0; i < nFinal; i++ ) pFinal[i] = Abc_LitNot(pFinal[i]); } else { status = bmcg_sat_solver_solve( pSat[0], Vec_IntArray(vLits), Vec_IntSize(vLits) ); assert( status == GLUCOSE_UNSAT ); nFinal = bmcg_sat_solver_final( pSat[0], &pFinal ); } // print cube Vec_StrFill( vCube, nVars, '-' ); for ( i = 0; i < nFinal; i++ ) { iVar = Vec_IntEntry(vVarMap, Abc_Lit2Var(pFinal[i])); if ( iVar == -1 ) continue; pFinal[k++] = pFinal[i]; assert( iVar >= 0 && iVar < nVars ); Vec_StrWriteEntry( vCube, iVar, (char)('0' + Abc_LitIsCompl(pFinal[i])) ); } nFinal = k; Vec_StrAppend( vSop, Vec_StrArray(vCube) ); //printf( "%4d : %s", Count++, Vec_StrArray(vCube) ); // add blocking clause if ( !bmcg_sat_solver_addclause( pSat[1], pFinal, nFinal ) ) break; } Vec_IntFree( vLits ); Vec_StrFree( vCube ); Vec_StrPush( vSop, '\0' ); return vSop; } void Glucose_GenerateSop( Gia_Man_t * p ) { bmcg_sat_solver * pSat[2] = { bmcg_sat_solver_start(), bmcg_sat_solver_start() }; // generate CNF for the on-set and off-set Cnf_Dat_t * pCnf = (Cnf_Dat_t *)Mf_ManGenerateCnf( p, 8 /*nLutSize*/, 0 /*fCnfObjIds*/, 0/*fAddOrCla*/, 0, 0/*verbose*/ ); int i, n, nVars = Gia_ManCiNum(p), Lit;//, Count = 0; int iFirstVar = pCnf->nVars - nVars; assert( Gia_ManCoNum(p) == 1 ); for ( n = 0; n < 2; n++ ) { bmcg_sat_solver_set_nvars( pSat[n], pCnf->nVars ); Lit = Abc_Var2Lit( 1, !n ); // output variable is 1 for ( i = 0; i < pCnf->nClauses; i++ ) if ( !bmcg_sat_solver_addclause( pSat[n], pCnf->pClauses[i], pCnf->pClauses[i+1]-pCnf->pClauses[i] ) ) assert( 0 ); if ( !bmcg_sat_solver_addclause( pSat[n], &Lit, 1 ) ) assert( 0 ); } Cnf_DataFree( pCnf ); // collect cube vars and map SAT vars into them Vec_Int_t * vVars = Vec_IntAlloc( 100 ); Vec_Int_t * vVarMap = Vec_IntStartFull( iFirstVar + nVars ); for ( i = 0; i < nVars; i++ ) { Vec_IntPush( vVars, iFirstVar+i ); Vec_IntWriteEntry( vVarMap, iFirstVar+i, i ); } Vec_Str_t * vSop = Glucose_GenerateCubes( pSat, vVars, vVarMap ); Vec_IntFree( vVarMap ); Vec_IntFree( vVars ); printf( "%s", Vec_StrArray(vSop) ); Vec_StrFree( vSop ); bmcg_sat_solver_stop( pSat[0] ); bmcg_sat_solver_stop( pSat[1] ); } /**Function************************************************************* Synopsis [Performs SAT-based quantification.] Description [] SideEffects [] SeeAlso [] ***********************************************************************/ int Gia_ManSatAndCollect_rec( Gia_Man_t * p, int iObj, Vec_Int_t * vObjsUsed, Vec_Int_t * vCisUsed, Vec_Int_t * vCiSatVarsToKeep, int(*pFuncCiToKeep)(void *, int), void * pData ) { Gia_Obj_t * pObj; int iVar; if ( (iVar = Gia_ObjCopyArray(p, iObj)) > 0 ) return iVar; iVar = Vec_IntSize( vObjsUsed ); Vec_IntPush( vObjsUsed, iObj ); Gia_ObjSetCopyArray( p, iObj, iVar ); pObj = Gia_ManObj( p, iObj ); assert( Gia_ObjIsCand(pObj) ); if ( Gia_ObjIsAnd(pObj) ) { Gia_ManSatAndCollect_rec( p, Gia_ObjFaninId0(pObj, iObj), vObjsUsed, vCisUsed, vCiSatVarsToKeep, pFuncCiToKeep, pData ); Gia_ManSatAndCollect_rec( p, Gia_ObjFaninId1(pObj, iObj), vObjsUsed, vCisUsed, vCiSatVarsToKeep, pFuncCiToKeep, pData ); } else if ( pFuncCiToKeep && pFuncCiToKeep(pData, Gia_ObjCioId(pObj)) ) Vec_IntPush( vCiSatVarsToKeep, iVar ); if ( vCisUsed && Gia_ObjIsCi(pObj) ) Vec_IntPush( vCisUsed, iVar ); return iVar; } void Gia_ManQuantLoadCnf( Gia_Man_t * p, Vec_Int_t * vObjsUsed, bmcg_sat_solver * pSats[] ) { Gia_Obj_t * pObj; int i; bmcg_sat_solver_set_nvars( pSats[0], Vec_IntSize(vObjsUsed) ); if ( pSats[1] ) bmcg_sat_solver_set_nvars( pSats[1], Vec_IntSize(vObjsUsed) ); Gia_ManForEachObjVec( vObjsUsed, p, pObj, i ) if ( Gia_ObjIsAnd(pObj) ) { int iObj = Gia_ObjId( p, pObj ); int iVar = Gia_ObjCopyArray(p, iObj); int iVar0 = Gia_ObjCopyArray(p, Gia_ObjFaninId0(pObj, iObj)); int iVar1 = Gia_ObjCopyArray(p, Gia_ObjFaninId1(pObj, iObj)); bmcg_sat_solver_add_and( pSats[0], iVar, iVar0, iVar1, Gia_ObjFaninC0(pObj), Gia_ObjFaninC1(pObj), 0 ); if ( pSats[1] ) bmcg_sat_solver_add_and( pSats[1], iVar, iVar0, iVar1, Gia_ObjFaninC0(pObj), Gia_ObjFaninC1(pObj), 0 ); } } int Gia_ManFactorSop( Gia_Man_t * p, Vec_Int_t * vCiObjIds, Vec_Str_t * vSop, int fHash ) { extern Gia_Man_t * Abc_SopSynthesizeOne( char * pSop, int fClp ); Gia_Man_t * pMan = Abc_SopSynthesizeOne( Vec_StrArray(vSop), 1 ); Gia_Obj_t * pObj; int i, Result; assert( Gia_ManPiNum(pMan) == Vec_IntSize(vCiObjIds) ); Gia_ManConst0(pMan)->Value = 0; Gia_ManForEachPi( pMan, pObj, i ) pObj->Value = Abc_Var2Lit( Vec_IntEntry(vCiObjIds, i), 0 ); Gia_ManForEachAnd( pMan, pObj, i ) if ( fHash ) pObj->Value = Gia_ManHashAnd( p, Gia_ObjFanin0Copy(pObj), Gia_ObjFanin1Copy(pObj) ); else pObj->Value = Gia_ManAppendAnd( p, Gia_ObjFanin0Copy(pObj), Gia_ObjFanin1Copy(pObj) ); pObj = Gia_ManPo(pMan, 0); Result = Gia_ObjFanin0Copy(pObj); Gia_ManStop( pMan ); return Result; } int bmcg_sat_solver_quantify( bmcg_sat_solver * pSats[], Gia_Man_t * p, int iLit, int fHash, int(*pFuncCiToKeep)(void *, int), void * pData ) { Vec_Int_t * vCiSatVarsToKeep = Vec_IntAlloc( 100 ); Vec_Int_t * vObjsUsed = Vec_IntAlloc( 100 ); Vec_Int_t * vCisUsed = Vec_IntAlloc( 100 ); Vec_Int_t * vVarMap = NULL; Vec_Str_t * vSop = NULL; int i, iVar, iVarLast, Lit, RetValue, Result = -1; if ( Vec_IntSize(&p->vCopies) == 0 ) Gia_ManCleanCopyArray(p); Vec_IntPush( vObjsUsed, 0 ); iVarLast = Gia_ManSatAndCollect_rec( p, Abc_Lit2Var(iLit), vObjsUsed, vCisUsed, vCiSatVarsToKeep, pFuncCiToKeep, pData ); Gia_ManQuantLoadCnf( p, vObjsUsed, pSats ); Lit = Abc_Var2Lit( iVarLast, !Abc_LitIsCompl(iLit) ); RetValue = bmcg_sat_solver_addclause( pSats[0], &Lit, 1 ); if ( !RetValue || bmcg_sat_solver_solve(pSats[0], NULL, 0) == GLUCOSE_UNSAT ) { Result = 1; goto cleanup; } Lit = Abc_Var2Lit( iVarLast, Abc_LitIsCompl(iLit) ); RetValue = bmcg_sat_solver_addclause( pSats[1], &Lit, 1 ); if ( !RetValue || bmcg_sat_solver_solve(pSats[1], NULL, 0) == GLUCOSE_UNSAT ) { Result = 0; goto cleanup; } // map used SAT vars into their cube IDs vVarMap = Vec_IntStartFull( Vec_IntSize(vObjsUsed) ); Vec_IntForEachEntry( vCiSatVarsToKeep, iVar, i ) Vec_IntWriteEntry( vVarMap, iVar, i ); vSop = Glucose_GenerateCubes( pSats, vCisUsed, vVarMap ); printf( "%s", Vec_StrArray(vSop) ); // remap SAT vars into obj IDs of CI nodes Vec_IntForEachEntry( vCiSatVarsToKeep, iVar, i ) Vec_IntWriteEntry( vCiSatVarsToKeep, i, Vec_IntEntry(vObjsUsed, iVar) ); Result = Gia_ManFactorSop( p, vCiSatVarsToKeep, vSop, fHash ); cleanup: Vec_IntForEachEntry( vObjsUsed, iVar, i ) Gia_ObjSetCopyArray( p, iVar, -1 ); Vec_IntFree( vCiSatVarsToKeep ); Vec_IntFree( vObjsUsed ); Vec_IntFree( vCisUsed ); Vec_IntFreeP( &vVarMap ); Vec_StrFreeP( &vSop ); return Abc_LitNotCond( Result, Abc_LitIsCompl(iLit) ); } int Gia_ManCiIsToKeep( void * pData, int i ) { return i % 5 != 0; // return 1; } void Glucose_QuantifyAigTest( Gia_Man_t * p ) { bmcg_sat_solver * pSats[2] = { bmcg_sat_solver_start(), bmcg_sat_solver_start() }; int iRes = bmcg_sat_solver_quantify( pSats, p, Gia_ObjFaninLit0p(p, Gia_ManPo(p, 0)), 0, Gia_ManCiIsToKeep, NULL ); Gia_ManAppendCo( p, iRes ); bmcg_sat_solver_stop( pSats[0] ); bmcg_sat_solver_stop( pSats[1] ); } /**Function************************************************************* Synopsis [Checks equivalence or intersection of two nodes.] Description [] SideEffects [] SeeAlso [] ***********************************************************************/ int bmcg_sat_solver_equiv_overlap_check( bmcg_sat_solver * pSat, Gia_Man_t * p, int iLit0, int iLit1, int fEquiv ) { bmcg_sat_solver * pSats[2] = { pSat, NULL }; Vec_Int_t * vObjsUsed = Vec_IntAlloc( 100 ); int i, iVar, iSatVar[2], iSatLit[2], Lits[2], status; if ( Vec_IntSize(&p->vCopies) == 0 ) Gia_ManCleanCopyArray(p); Vec_IntPush( vObjsUsed, 0 ); iSatVar[0] = Gia_ManSatAndCollect_rec( p, Abc_Lit2Var(iLit0), vObjsUsed, NULL, NULL, NULL, NULL ); iSatVar[1] = Gia_ManSatAndCollect_rec( p, Abc_Lit2Var(iLit1), vObjsUsed, NULL, NULL, NULL, NULL ); iSatLit[0] = Abc_Var2Lit( iSatVar[0], Abc_LitIsCompl(iLit0) ); iSatLit[1] = Abc_Var2Lit( iSatVar[1], Abc_LitIsCompl(iLit1) ); Gia_ManQuantLoadCnf( p, vObjsUsed, pSats ); Vec_IntForEachEntry( vObjsUsed, iVar, i ) Gia_ObjSetCopyArray( p, iVar, -1 ); Vec_IntFree( vObjsUsed ); if ( fEquiv ) { Lits[0] = iSatLit[0]; Lits[1] = Abc_LitNot(iSatLit[1]); status = bmcg_sat_solver_solve( pSats[0], Lits, 2 ); if ( status == GLUCOSE_UNSAT ) { Lits[0] = Abc_LitNot(iSatLit[0]); Lits[1] = iSatLit[1]; status = bmcg_sat_solver_solve( pSats[0], Lits, 2 ); } return status == GLUCOSE_UNSAT; } else { Lits[0] = iSatLit[0]; Lits[1] = iSatLit[1]; status = bmcg_sat_solver_solve( pSats[0], Lits, 2 ); return status == GLUCOSE_SAT; } } void Glucose_CheckTwoNodesTest( Gia_Man_t * p ) { int n, Res; bmcg_sat_solver * pSat = bmcg_sat_solver_start(); for ( n = 0; n < 2; n++ ) { Res = bmcg_sat_solver_equiv_overlap_check( pSat, p, Gia_ObjFaninLit0p(p, Gia_ManPo(p, 0)), Gia_ObjFaninLit0p(p, Gia_ManPo(p, 1)), n ); bmcg_sat_solver_reset( pSat ); printf( "%s %s.\n", n ? "Equivalence" : "Overlap", Res ? "holds" : "fails" ); } bmcg_sat_solver_stop( pSat ); } /**Function************************************************************* Synopsis [] Description [] SideEffects [] SeeAlso [] ***********************************************************************/ int Glucose_SolveAig(Gia_Man_t * p, Glucose_Pars * pPars) { abctime clk = Abc_Clock(); SimpSolver S; S.verbosity = pPars->verb; S.verbEveryConflicts = 50000; S.showModel = false; //S.verbosity = 2; S.setConfBudget( pPars->nConfls > 0 ? (int64_t)pPars->nConfls : -1 ); S.parsing = 1; Vec_Int_t * vCnfIds = Glucose_SolverFromAig(p,S); S.parsing = 0; if (pPars->verb) { printf("c ============================[ Problem Statistics ]=============================\n"); printf("c | |\n"); printf("c | Number of variables: %12d |\n", S.nVars()); printf("c | Number of clauses: %12d |\n", S.nClauses()); } if (pPars->pre) { S.eliminate(true); printf( "c Simplication removed %d variables and %d clauses. ", S.eliminated_vars, S.eliminated_clauses ); Abc_PrintTime( 1, "Time", Abc_Clock() - clk ); } vec dummy; lbool ret = S.solveLimited(dummy, 0); if ( pPars->verb ) glucose_print_stats(S, Abc_Clock() - clk); printf(ret == l_True ? "SATISFIABLE" : ret == l_False ? "UNSATISFIABLE" : "INDETERMINATE"); Abc_PrintTime( 1, " Time", Abc_Clock() - clk ); // port counterexample if (ret == l_True) { Gia_Obj_t * pObj; int i; p->pCexComb = Abc_CexAlloc(0,Gia_ManCiNum(p),1); Gia_ManForEachCi( p, pObj, i ) { assert(Vec_IntEntry(vCnfIds,Gia_ObjId(p, pObj))!=-1); if (S.model[Vec_IntEntry(vCnfIds,Gia_ObjId(p, pObj))] == l_True) Abc_InfoSetBit( p->pCexComb->pData, i); } } Vec_IntFree(vCnfIds); return (ret == l_True ? 10 : ret == l_False ? 20 : 0); } //////////////////////////////////////////////////////////////////////// /// END OF FILE /// //////////////////////////////////////////////////////////////////////// } ABC_NAMESPACE_IMPL_END