/**CFile****************************************************************

  FileName    [AbcGlucose.cpp]

  SystemName  [ABC: Logic synthesis and verification system.]

  PackageName [SAT solver Glucose 3.0.]

  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;
}

int glucose_solver_addclause(Gluco::SimpSolver* S, int * plits, int nlits)
{
    vec<Lit> 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<Lit> lits;
    for (int i=0;i<nlits;i++,plits++)
    {
        Lit p;
        p.x = *plits;
        lits.push(p);
    }
    Gluco::lbool res = S->solveLimited(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);
}

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)
{
    vec<int>*array = &((Gluco::SimpSolver*)s)->user_vec;
    int i, nlitsL, nlitsR, nresL, nresR, status;
    if ( nlits == 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, NULL, 0 );
        return status != -1; // return 1 if the problem is not UNSAT
    }
    assert( nlits >= 2 );
    nlitsL = nlits / 2;
    nlitsR = nlits - nlitsL;
    // solve with these assumptions
    status = bmcg_sat_solver_solve( s, plits, nlitsL );
    if ( status == -1 ) // these are enough
        return bmcg_sat_solver_minimize_assumptions( s, plits, nlitsL );
    // these are not enough
    // solve for the right lits
// assume left bits
    nresL = nlitsR == 1 ? 1 : bmcg_sat_solver_minimize_assumptions( s, plits + nlitsL, nlitsR );
// unassume left bits
    // swap literals
    array->clear();
    for ( i = 0; i < nlitsL; i++ )
        array->push(plits[i]);
    for ( i = 0; i < nresL; i++ )
        plits[i] = plits[nlitsL+i];
    for ( i = 0; i < nlitsL; i++ )
        plits[nresL+i] = (*array)[i];
    // solve with these assumptions
// assume right bits
    status = bmcg_sat_solver_solve( s, plits, nresL );
    if ( status == -1 ) // these are enough
// unassume right bits
        return nresL;
    // solve for the left lits
    nresR = nlitsL == 1 ? 1 : bmcg_sat_solver_minimize_assumptions( s, plits + nresL, nlitsL );
// unassume right bits
    return nresL + nresR;
}


#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<Lit> 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<Lit> lits;
    for (int i=0;i<nlits;i++,plits++)
    {
        Lit p;
        p.x = *plits;
        lits.push(p);
    }
    Gluco::lbool res = S->solveLimited(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)
{
    vec<int>*array = &((Gluco::Solver*)s)->user_vec;
    int i, nlitsL, nlitsR, nresL, nresR, status;
    if ( nlits == 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, NULL, 0 );
        return status != -1; // return 1 if the problem is not UNSAT
    }
    assert( nlits >= 2 );
    nlitsL = nlits / 2;
    nlitsR = nlits - nlitsL;
    // solve with these assumptions
    status = bmcg_sat_solver_solve( s, plits, nlitsL );
    if ( status == -1 ) // these are enough
        return bmcg_sat_solver_minimize_assumptions( s, plits, nlitsL );
    // these are not enough
    // solve for the right lits
// assume left bits
    nresL = nlitsR == 1 ? 1 : bmcg_sat_solver_minimize_assumptions( s, plits + nlitsL, nlitsR );
// unassume left bits
    // swap literals
    array->clear();
    for ( i = 0; i < nlitsL; i++ )
        array->push(plits[i]);
    for ( i = 0; i < nresL; i++ )
        plits[i] = plits[nlitsL+i];
    for ( i = 0; i < nlitsL; i++ )
        plits[nresL+i] = (*array)[i];
    // solve with these assumptions
// assume right bits
    status = bmcg_sat_solver_solve( s, plits, nresL );
    if ( status == -1 ) // these are enough
// unassume right bits
        return nresL;
    // solve for the left lits
    nresR = nlitsL == 1 ? 1 : bmcg_sat_solver_minimize_assumptions( s, plits + nresL, nlitsL );
// unassume right bits
    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<Lit> * 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<Lit> 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<Lit> * 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     []

***********************************************************************/
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);
    int iFirstVar = pCnf->nVars - nVars;
    assert( Gia_ManCoNum(p) == 1 );
    for ( n = 0; n < 2; n++ )
    {
        int 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 );

    // generate assignments
    Vec_Int_t * vLits = Vec_IntAlloc( nVars );
    Vec_Str_t * vCube = Vec_StrAlloc( nVars + 4 );
    while ( 1 )
    {
        // generate onset minterm
        int status = bmcg_sat_solver_solve( pSat[1], NULL, 0 );
        if ( status == -1 )
            break;
        assert( status == 1 );
        Vec_IntClear( vLits );
        for ( i = 0; i < nVars; i++ )
            Vec_IntPush( vLits, Abc_Var2Lit(iFirstVar+i, !bmcg_sat_solver_read_cex_varvalue(pSat[1], iFirstVar+i)) );
        // expand it against offset
        status = bmcg_sat_solver_solve( pSat[0], Vec_IntArray(vLits), Vec_IntSize(vLits) );
        assert( status == -1 );
        int * pFinal, nFinal = bmcg_sat_solver_final( pSat[0], &pFinal );
        // print cube
        Vec_StrFill( vCube, nVars, '-' );
        Vec_StrPrintF( vCube, " 1\n\0" );
        for ( i = 0; i < nFinal; i++ )
            Vec_StrWriteEntry( vCube, Abc_Lit2Var(pFinal[i]) - iFirstVar, (char)('0' + Abc_LitIsCompl(pFinal[i])) );
        printf( "%s", Vec_StrArray(vCube) );
        // add blocking clause
        if ( !bmcg_sat_solver_addclause( pSat[1], pFinal, nFinal ) )
            break;
    }
    Vec_IntFree( vLits );
    Vec_StrFree( vCube );

    bmcg_sat_solver_stop( pSat[0] );
    bmcg_sat_solver_stop( pSat[1] );
}

/**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<Lit> 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