AbcGlucose2.cpp File Reference

#include "sat/glucose2/System.h"
#include "sat/glucose2/ParseUtils.h"
#include "sat/glucose2/Options.h"
#include "sat/glucose2/Dimacs.h"
#include "sat/glucose2/SimpSolver.h"
#include "sat/glucose2/AbcGlucose2.h"
#include "base/abc/abc.h"
#include "aig/gia/gia.h"
#include "sat/cnf/cnf.h"
#include "misc/extra/extra.h"

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Macros
#define	USE_SIMP_SOLVER   1
	DECLARATIONS ///.
#define	Gia_CubeForEachVar(pCube, Value, i)
#define	Gia_SopForEachCube(pSop, nFanins, pCube)

Functions
SimpSolver *	glucose2_solver_start ()
	FUNCTION DEFINITIONS ///.
void	glucose2_solver_stop (Gluco2::SimpSolver *S)
void	glucose2_solver_reset (Gluco2::SimpSolver *S)
int	glucose2_solver_addclause (Gluco2::SimpSolver *S, int *plits, int nlits)
void	glucose2_solver_setcallback (Gluco2::SimpSolver *S, void *pman, int(*pfunc)(void *, int, int *))
int	glucose2_solver_solve (Gluco2::SimpSolver *S, int *plits, int nlits)
int	glucose2_solver_addvar (Gluco2::SimpSolver *S)
int *	glucose2_solver_read_cex (Gluco2::SimpSolver *S)
int	glucose2_solver_read_cex_varvalue (Gluco2::SimpSolver *S, int ivar)
void	glucose2_solver_setstop (Gluco2::SimpSolver *S, int *pstop)
void	glucose2_markapprox (Gluco2::SimpSolver *S, int v0, int v1, int nlim)
bmcg2_sat_solver *	bmcg2_sat_solver_start ()
	MACRO DEFINITIONS ///.
void	bmcg2_sat_solver_stop (bmcg2_sat_solver *s)
void	bmcg2_sat_solver_reset (bmcg2_sat_solver *s)
int	bmcg2_sat_solver_addclause (bmcg2_sat_solver *s, int *plits, int nlits)
void	bmcg2_sat_solver_setcallback (bmcg2_sat_solver *s, void *pman, int(*pfunc)(void *, int, int *))
int	bmcg2_sat_solver_solve (bmcg2_sat_solver *s, int *plits, int nlits)
int	bmcg2_sat_solver_final (bmcg2_sat_solver *s, int **ppArray)
int	bmcg2_sat_solver_addvar (bmcg2_sat_solver *s)
void	bmcg2_sat_solver_set_nvars (bmcg2_sat_solver *s, int nvars)
int	bmcg2_sat_solver_eliminate (bmcg2_sat_solver *s, int turn_off_elim)
int	bmcg2_sat_solver_var_is_elim (bmcg2_sat_solver *s, int v)
void	bmcg2_sat_solver_var_set_frozen (bmcg2_sat_solver *s, int v, int freeze)
int	bmcg2_sat_solver_elim_varnum (bmcg2_sat_solver *s)
int *	bmcg2_sat_solver_read_cex (bmcg2_sat_solver *s)
int	bmcg2_sat_solver_read_cex_varvalue (bmcg2_sat_solver *s, int ivar)
void	bmcg2_sat_solver_set_stop (bmcg2_sat_solver *s, int *pstop)
void	bmcg2_sat_solver_markapprox (bmcg2_sat_solver *s, int v0, int v1, int nlim)
abctime	bmcg2_sat_solver_set_runtime_limit (bmcg2_sat_solver *s, abctime Limit)
void	bmcg2_sat_solver_set_conflict_budget (bmcg2_sat_solver *s, int Limit)
int	bmcg2_sat_solver_varnum (bmcg2_sat_solver *s)
int	bmcg2_sat_solver_clausenum (bmcg2_sat_solver *s)
int	bmcg2_sat_solver_learntnum (bmcg2_sat_solver *s)
int	bmcg2_sat_solver_conflictnum (bmcg2_sat_solver *s)
int	bmcg2_sat_solver_minimize_assumptions (bmcg2_sat_solver *s, int *plits, int nlits, int pivot)
int	bmcg2_sat_solver_add_and (bmcg2_sat_solver *s, int iVar, int iVar0, int iVar1, int fCompl0, int fCompl1, int fCompl)
int	bmcg2_sat_solver_add_xor (bmcg2_sat_solver *pSat, int iVarA, int iVarB, int iVarC, int fCompl)
int	bmcg2_sat_solver_jftr (bmcg2_sat_solver *s)
void	bmcg2_sat_solver_set_jftr (bmcg2_sat_solver *s, int jftr)
void	bmcg2_sat_solver_set_var_fanin_lit (bmcg2_sat_solver *s, int var, int lit0, int lit1)
void	bmcg2_sat_solver_start_new_round (bmcg2_sat_solver *s)
void	bmcg2_sat_solver_mark_cone (bmcg2_sat_solver *s, int var)
void	bmcg2_sat_solver_prelocate (bmcg2_sat_solver *s, int var_num)
void	glucose2_print_stats (SimpSolver &s, abctime clk)
void	Glucose_ReadDimacs (char *pFileName, SimpSolver &s)
void	Glucose2_SolveCnf (char *pFileName, Glucose2_Pars *pPars)
Vec_Int_t *	Glucose_SolverFromAig (Gia_Man_t *p, SimpSolver &s)
Vec_Int_t *	Glucose_SolverFromAig2 (Gia_Man_t *p, SimpSolver &S)
Vec_Str_t *	Glucose2_GenerateCubes (bmcg2_sat_solver *pSat[2], Vec_Int_t *vCiSatVars, Vec_Int_t *vVar2Index, int CubeLimit)
Vec_Str_t *	bmcg2_sat_solver_sop (Gia_Man_t *p, int CubeLimit)
void	bmcg2_sat_solver_print_sop (Gia_Man_t *p)
void	bmcg2_sat_solver_print_sop_lit (Gia_Man_t *p, int Lit)
void	bmcg2_sat_generate_dvars (Vec_Int_t *vCiVars, Vec_Str_t *vSop, Vec_Int_t *vDLits)
int	bmcg2_sat_solver_quantify2 (Gia_Man_t *p, int iLit, int fHash, int(*pFuncCiToKeep)(void *, int), void *pData, Vec_Int_t *vDLits)
int	Gia_ManSatAndCollect2_rec (Gia_Man_t *p, int iObj, Vec_Int_t *vObjsUsed, Vec_Int_t *vCiVars)
void	Gia_ManQuantLoadCnf2 (Gia_Man_t *p, Vec_Int_t *vObjsUsed, bmcg2_sat_solver *pSats[])
int	Gia_ManFactorSop2 (Gia_Man_t *p, Vec_Int_t *vCiObjIds, Vec_Str_t *vSop, int fHash)
int	bmcg2_sat_solver_quantify (bmcg2_sat_solver *pSats[], Gia_Man_t *p, int iLit, int fHash, int(*pFuncCiToKeep)(void *, int), void *pData, Vec_Int_t *vDLits)
int	Gia_ManCiIsToKeep2 (void *pData, int i)
void	Glucose2_QuantifyAigTest (Gia_Man_t *p)
int	bmcg2_sat_solver_quantify_test (bmcg2_sat_solver *pSats[], Gia_Man_t *p, int iLit, int fHash, int(*pFuncCiToKeep)(void *, int), void *pData, Vec_Int_t *vDLits)
int	bmcg2_sat_solver_equiv_overlap_check (bmcg2_sat_solver *pSat, Gia_Man_t *p, int iLit0, int iLit1, int fEquiv)
void	Glucose2_CheckTwoNodesTest (Gia_Man_t *p)
int	Glucose2_SolveAig (Gia_Man_t *p, Glucose2_Pars *pPars)

Macro Definition Documentation

Gia_CubeForEachVar

#define Gia_CubeForEachVar	(		pCube,
			Value,
			i )

Value:

    for ( i = 0; (pCube[i] != ' ') && (Value = pCube[i]); i++ )

Function*************************************************************

Synopsis [Computing d-literals.]

Description []

SideEffects []

SeeAlso []

Definition at line 1074 of file AbcGlucose2.cpp.

#define Gia_CubeForEachVar( pCube, Value, i )                                                      \
    for ( i = 0; (pCube[i] != ' ') && (Value = pCube[i]); i++ )           

Gia_SopForEachCube

#define Gia_SopForEachCube	(		pSop,
			nFanins,
			pCube )

Value:

    for ( pCube = (pSop); *pCube; pCube += (nFanins) + 3 )

Definition at line 1076 of file AbcGlucose2.cpp.

#define Gia_SopForEachCube( pSop, nFanins, pCube )                                                 \
    for ( pCube = (pSop); *pCube; pCube += (nFanins) + 3 )

USE_SIMP_SOLVER

#define USE_SIMP_SOLVER   1

DECLARATIONS ///.

Definition at line 42 of file AbcGlucose2.cpp.

Function Documentation

bmcg2_sat_generate_dvars()

void bmcg2_sat_generate_dvars	(	Vec_Int_t *	vCiVars,
		Vec_Str_t *	vSop,
		Vec_Int_t *	vDLits )

Definition at line 1079 of file AbcGlucose2.cpp.

{
    int i, Lit, Counter, nCubes = 0;
    char Value, * pCube, * pSop = Vec_StrArray( vSop );
    Vec_Int_t * vCounts = Vec_IntStart( 2*Vec_IntSize(vCiVars) );
    Vec_IntClear( vDLits );
    Gia_SopForEachCube( pSop, Vec_IntSize(vCiVars), pCube )
    {
        nCubes++;
        Gia_CubeForEachVar( pCube, Value, i )
        {
            if ( Value == '1' )
                Vec_IntAddToEntry( vCounts, 2*i, 1 );
            else if ( Value == '0' )
                Vec_IntAddToEntry( vCounts, 2*i+1, 1 );
        }
    }
    Vec_IntForEachEntry( vCounts, Counter, Lit )
        if ( Counter == nCubes )
            Vec_IntPush( vDLits, Abc_Var2Lit(Vec_IntEntry(vCiVars, Abc_Lit2Var(Lit)), Abc_LitIsCompl(Lit)) );
    Vec_IntSort( vDLits, 0 );
    Vec_IntFree( vCounts );
}

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bmcg2_sat_solver_add_and()

int bmcg2_sat_solver_add_and	(	bmcg2_sat_solver *	s,
		int	iVar,
		int	iVar0,
		int	iVar1,
		int	fCompl0,
		int	fCompl1,
		int	fCompl )

Definition at line 316 of file AbcGlucose2.cpp.

{
    int Lits[3];
 
    Lits[0] = Abc_Var2Lit( iVar, !fCompl );
    Lits[1] = Abc_Var2Lit( iVar0, fCompl0 );
    if ( !bmcg2_sat_solver_addclause( s, Lits, 2 ) )
        return 0;
 
    Lits[0] = Abc_Var2Lit( iVar, !fCompl );
    Lits[1] = Abc_Var2Lit( iVar1, fCompl1 );
    if ( !bmcg2_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 ( !bmcg2_sat_solver_addclause( s, Lits, 3 ) )
        return 0;
 
    return 1;
}

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bmcg2_sat_solver_add_xor()

int bmcg2_sat_solver_add_xor	(	bmcg2_sat_solver *	pSat,
		int	iVarA,
		int	iVarB,
		int	iVarC,
		int	fCompl )

Definition at line 339 of file AbcGlucose2.cpp.

{
    int Lits[3];
    int Cid;
    assert( iVarA >= 0 && iVarB >= 0 && iVarC >= 0 );
 
    Lits[0] = Abc_Var2Lit( iVarA, !fCompl );
    Lits[1] = Abc_Var2Lit( iVarB, 1 );
    Lits[2] = Abc_Var2Lit( iVarC, 1 );
    Cid = bmcg2_sat_solver_addclause( pSat, Lits, 3 );
    assert( Cid );
 
    Lits[0] = Abc_Var2Lit( iVarA, !fCompl );
    Lits[1] = Abc_Var2Lit( iVarB, 0 );
    Lits[2] = Abc_Var2Lit( iVarC, 0 );
    Cid = bmcg2_sat_solver_addclause( pSat, Lits, 3 );
    assert( Cid );
 
    Lits[0] = Abc_Var2Lit( iVarA, fCompl );
    Lits[1] = Abc_Var2Lit( iVarB, 1 );
    Lits[2] = Abc_Var2Lit( iVarC, 0 );
    Cid = bmcg2_sat_solver_addclause( pSat, Lits, 3 );
    assert( Cid );
 
    Lits[0] = Abc_Var2Lit( iVarA, fCompl );
    Lits[1] = Abc_Var2Lit( iVarB, 0 );
    Lits[2] = Abc_Var2Lit( iVarC, 1 );
    Cid = bmcg2_sat_solver_addclause( pSat, Lits, 3 );
    assert( Cid );
    return 4;
}

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bmcg2_sat_solver_addclause()

int bmcg2_sat_solver_addclause	(	bmcg2_sat_solver *	s,
		int *	plits,
		int	nlits )

Definition at line 165 of file AbcGlucose2.cpp.

{
    return glucose2_solver_addclause((Gluco2::SimpSolver*)s,plits,nlits);
}

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bmcg2_sat_solver_addvar()

int bmcg2_sat_solver_addvar

(

bmcg2_sat_solver *

s

)

Definition at line 186 of file AbcGlucose2.cpp.

{
    return glucose2_solver_addvar((Gluco2::SimpSolver*)s);
}

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bmcg2_sat_solver_clausenum()

int bmcg2_sat_solver_clausenum

(

bmcg2_sat_solver *

s

)

Definition at line 259 of file AbcGlucose2.cpp.

{
    return ((Gluco2::SimpSolver*)s)->nClauses();
}

bmcg2_sat_solver_conflictnum()

int bmcg2_sat_solver_conflictnum

(

bmcg2_sat_solver *

s

)

Definition at line 267 of file AbcGlucose2.cpp.

{
    return ((Gluco2::SimpSolver*)s)->conflicts;
}

bmcg2_sat_solver_elim_varnum()

int bmcg2_sat_solver_elim_varnum

(

bmcg2_sat_solver *

s

)

Definition at line 215 of file AbcGlucose2.cpp.

{
//    return 0; 
    return ((Gluco2::SimpSolver*)s)->eliminated_vars;
}

bmcg2_sat_solver_eliminate()

int bmcg2_sat_solver_eliminate	(	bmcg2_sat_solver *	s,
		int	turn_off_elim )

Definition at line 198 of file AbcGlucose2.cpp.

{
//    return 1; 
    return ((Gluco2::SimpSolver*)s)->eliminate(turn_off_elim != 0);
}

bmcg2_sat_solver_equiv_overlap_check()

int bmcg2_sat_solver_equiv_overlap_check	(	bmcg2_sat_solver *	pSat,
		Gia_Man_t *	p,
		int	iLit0,
		int	iLit1,
		int	fEquiv )

Function*************************************************************

Synopsis [Checks equivalence or intersection of two nodes.]

Description []

SideEffects []

SeeAlso []

Definition at line 1432 of file AbcGlucose2.cpp.

{
    bmcg2_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) < Gia_ManObjNum(p) )
        Vec_IntFillExtra( &p->vCopies, Gia_ManObjNum(p), -1 );
 
    // assign const0 variable number 0
    iVar = Vec_IntSize(vObjsUsed);
    Vec_IntPush( vObjsUsed, 0 );
    Gia_ObjSetCopyArray( p, 0, iVar );
    assert( iVar == 0 );
 
    iSatVar[0] = Gia_ManSatAndCollect2_rec( p, Abc_Lit2Var(iLit0), vObjsUsed, NULL );
    iSatVar[1] = Gia_ManSatAndCollect2_rec( p, Abc_Lit2Var(iLit1), vObjsUsed, NULL );
 
    iSatLit[0] = Abc_Var2Lit( iSatVar[0], Abc_LitIsCompl(iLit0) );
    iSatLit[1] = Abc_Var2Lit( iSatVar[1], Abc_LitIsCompl(iLit1) );
    Gia_ManQuantLoadCnf2( 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  = bmcg2_sat_solver_solve( pSats[0], Lits, 2 );
        if ( status == GLUCOSE_UNSAT )
        {
            Lits[0] = Abc_LitNot(iSatLit[0]);
            Lits[1] = iSatLit[1];
            status  = bmcg2_sat_solver_solve( pSats[0], Lits, 2 );
        }
        return status == GLUCOSE_UNSAT;
    }
    else
    {
        Lits[0] = iSatLit[0];
        Lits[1] = iSatLit[1];
        status  = bmcg2_sat_solver_solve( pSats[0], Lits, 2 );
        return status == GLUCOSE_SAT;
    }
}

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bmcg2_sat_solver_final()

int bmcg2_sat_solver_final	(	bmcg2_sat_solver *	s,
		int **	ppArray )

Definition at line 180 of file AbcGlucose2.cpp.

{
    *ppArray = (int *)(Lit *)((Gluco2::SimpSolver*)s)->conflict;
    return ((Gluco2::SimpSolver*)s)->conflict.size();
}

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bmcg2_sat_solver_jftr()

int bmcg2_sat_solver_jftr

(

bmcg2_sat_solver *

s

)

Definition at line 371 of file AbcGlucose2.cpp.

{
    return ((Gluco2::SimpSolver*)s)->jftr;
}

bmcg2_sat_solver_learntnum()

int bmcg2_sat_solver_learntnum

(

bmcg2_sat_solver *

s

)

Definition at line 263 of file AbcGlucose2.cpp.

{
    return ((Gluco2::SimpSolver*)s)->nLearnts();
}

bmcg2_sat_solver_mark_cone()

void bmcg2_sat_solver_mark_cone	(	bmcg2_sat_solver *	s,
		int	var )

Definition at line 391 of file AbcGlucose2.cpp.

{
    ((Gluco2::SimpSolver*)s)->sat_solver_mark_cone(var);
}

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bmcg2_sat_solver_markapprox()

void bmcg2_sat_solver_markapprox	(	bmcg2_sat_solver *	s,
		int	v0,
		int	v1,
		int	nlim )

Definition at line 235 of file AbcGlucose2.cpp.

{
    glucose2_markapprox((Gluco2::SimpSolver*)s, v0, v1, nlim);
}

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bmcg2_sat_solver_minimize_assumptions()

int bmcg2_sat_solver_minimize_assumptions	(	bmcg2_sat_solver *	s,
		int *	plits,
		int	nlits,
		int	pivot )

Definition at line 272 of file AbcGlucose2.cpp.

{
    vec<int>*array = &((Gluco2::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 = bmcg2_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 = bmcg2_sat_solver_solve( s, plits, pivot + nlitsL );
    if ( status == GLUCOSE_UNSAT ) // these are enough
        return bmcg2_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 : bmcg2_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 = bmcg2_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 : bmcg2_sat_solver_minimize_assumptions( s, plits, pivot + nresL + nlitsL, pivot + nresL );
    return nresL + nresR;
}

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bmcg2_sat_solver_prelocate()

void bmcg2_sat_solver_prelocate	(	bmcg2_sat_solver *	s,
		int	var_num )

Definition at line 396 of file AbcGlucose2.cpp.

                                                                    {
    ((Gluco2::SimpSolver*)s)->prelocate(var_num);
}

bmcg2_sat_solver_print_sop()

void bmcg2_sat_solver_print_sop

(

Gia_Man_t *

p

)

Definition at line 1041 of file AbcGlucose2.cpp.

{
    Vec_Str_t * vSop = bmcg2_sat_solver_sop( p, 0 );
    printf( "%s", Vec_StrArray(vSop) );
    Vec_StrFree( vSop );
}

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bmcg2_sat_solver_print_sop_lit()

void bmcg2_sat_solver_print_sop_lit	(	Gia_Man_t *	p,
		int	Lit )

Definition at line 1047 of file AbcGlucose2.cpp.

{
    Vec_Int_t * vCisUsed = Vec_IntAlloc( 100 );
    int i, ObjId, iNode = Abc_Lit2Var( Lit );
    Gia_ManCollectCis( p, &iNode, 1, vCisUsed );
    Vec_IntSort( vCisUsed, 0 );
    Vec_IntForEachEntry( vCisUsed, ObjId, i )
        Vec_IntWriteEntry( vCisUsed, i, Gia_ManIdToCioId(p, ObjId) );
    Vec_IntPrint( vCisUsed );
    Gia_Man_t * pNew = Gia_ManDupConeSupp( p, Lit, vCisUsed );
    Vec_IntFree( vCisUsed );
    bmcg2_sat_solver_print_sop( pNew );
    Gia_ManStop( pNew );
    printf( "\n" );
}

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bmcg2_sat_solver_quantify()

int bmcg2_sat_solver_quantify	(	bmcg2_sat_solver *	pSats[],
		Gia_Man_t *	p,
		int	iLit,
		int	fHash,
		int(*	pFuncCiToKeep )(void *, int),
		void *	pData,
		Vec_Int_t *	vDLits )

Definition at line 1274 of file AbcGlucose2.cpp.

{
    Vec_Int_t * vObjsUsed = Vec_IntAlloc( 100 ); // GIA objs
    Vec_Int_t * vCiVars = Vec_IntAlloc( 100 );   // CI SAT vars
    Vec_Int_t * vVarMap = NULL; Vec_Str_t * vSop = NULL; 
    int i, iVar, iVarLast, Lit, RetValue, Count = 0, Result = -1;
    if ( vDLits ) Vec_IntClear( vDLits );
    if ( iLit < 2 )
        return iLit;
    if ( Vec_IntSize(&p->vCopies) < Gia_ManObjNum(p) )
        Vec_IntFillExtra( &p->vCopies, Gia_ManObjNum(p), -1 );
    // assign variable number 0 to const0 node
    iVar = Vec_IntSize(vObjsUsed); 
    Vec_IntPush( vObjsUsed, 0 );
    Gia_ObjSetCopyArray( p, 0, iVar );
    assert( iVar == 0 );    
 
    // collect other variables
    iVarLast = Gia_ManSatAndCollect2_rec( p, Abc_Lit2Var(iLit), vObjsUsed, vCiVars );
    Gia_ManQuantLoadCnf2( p, vObjsUsed, pSats );
 
    // check constants
    Lit = Abc_Var2Lit( iVarLast, !Abc_LitIsCompl(iLit) ); 
    RetValue = bmcg2_sat_solver_addclause( pSats[0], &Lit, 1 ); // offset
    if ( !RetValue || bmcg2_sat_solver_solve(pSats[0], NULL, 0) == GLUCOSE_UNSAT )
    {
        Result = 1;
        goto cleanup;
    }
    Lit = Abc_Var2Lit( iVarLast, Abc_LitIsCompl(iLit) );
    RetValue = bmcg2_sat_solver_addclause( pSats[1], &Lit, 1 ); // onset
    if ( !RetValue || bmcg2_sat_solver_solve(pSats[1], NULL, 0) == GLUCOSE_UNSAT )
    {
        Result = 0;
        goto cleanup;
    }
/*
    // reorder CI SAT variables to have keep-vars first
    Vec_Int_t * vCiVars2 = Vec_IntAlloc( 100 );   // CI SAT vars
    Vec_IntForEachEntry( vCiVars, iVar, i )
    {
        Gia_Obj_t * pObj = Gia_ManObj( p, Vec_IntEntry(vObjsUsed, iVar) );
        assert( Gia_ObjIsCi(pObj) );
        if ( pFuncCiToKeep(pData, Gia_ObjCioId(pObj)) )
            Vec_IntPush( vCiVars2, iVar );
    }
    Vec_IntForEachEntry( vCiVars, iVar, i )
    {
        Gia_Obj_t * pObj = Gia_ManObj( p, Vec_IntEntry(vObjsUsed, iVar) );
        assert( Gia_ObjIsCi(pObj) );
        if ( !pFuncCiToKeep(pData, Gia_ObjCioId(pObj)) )
            Vec_IntPush( vCiVars2, iVar );
    }
    ABC_SWAP( Vec_Int_t *, vCiVars2, vCiVars );
    Vec_IntFree( vCiVars2 );
*/
    // map CI SAT variables into their indexes used in the cubes
    vVarMap = Vec_IntStartFull( Vec_IntSize(vObjsUsed) );
    Vec_IntForEachEntry( vCiVars, iVar, i )
    {
        Gia_Obj_t * pObj = Gia_ManObj( p, Vec_IntEntry(vObjsUsed, iVar) );
        assert( Gia_ObjIsCi(pObj) );
        if ( pFuncCiToKeep(pData, Gia_ObjCioId(pObj)) )
            Vec_IntWriteEntry( vVarMap, iVar, i ), Count++;
    }
    if ( Count == 0 || Count == Vec_IntSize(vCiVars) )
    {
        Result = Count == 0 ? 1 : iLit;
        goto cleanup;
    }
    // generate cubes
    vSop = Glucose2_GenerateCubes( pSats, vCiVars, vVarMap, 0 );
    //printf( "%s", Vec_StrArray(vSop) );
    // convert into object IDs
    Vec_IntForEachEntry( vCiVars, iVar, i )
        Vec_IntWriteEntry( vCiVars, i, Vec_IntEntry(vObjsUsed, iVar) );
    // generate unate variables
    if ( vDLits )
        bmcg2_sat_generate_dvars( vCiVars, vSop, vDLits );
    // convert into an AIG
    RetValue = Gia_ManAndNum(p);
    Result = Gia_ManFactorSop2( p, vCiVars, vSop, fHash );
 
    // report the result
//    printf( "Performed quantification with %5d nodes, %3d keep-vars, %3d quant-vars, resulting in %5d cubes and %5d nodes. ", 
//        Vec_IntSize(vObjsUsed), Count, Vec_IntSize(vCiVars) - Count, Vec_StrCountEntry(vSop, '\n'), Gia_ManAndNum(p)-RetValue );
//    Abc_PrintTime( 1, "Time", Abc_Clock() - clkAll );
 
cleanup:
    Vec_IntForEachEntry( vObjsUsed, iVar, i )
        Gia_ObjSetCopyArray( p, iVar, -1 );
    Vec_IntFree( vObjsUsed );
    Vec_IntFree( vCiVars );
    Vec_IntFreeP( &vVarMap );
    Vec_StrFreeP( &vSop );
    return Result;
}

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bmcg2_sat_solver_quantify2()

int bmcg2_sat_solver_quantify2	(	Gia_Man_t *	p,
		int	iLit,
		int	fHash,
		int(*	pFuncCiToKeep )(void *, int),
		void *	pData,
		Vec_Int_t *	vDLits )

Function*************************************************************

Synopsis [Performs SAT-based quantification.]

Description []

SideEffects []

SeeAlso []

Definition at line 1114 of file AbcGlucose2.cpp.

{
    int fSynthesize = 0;
    extern Gia_Man_t * Abc_SopSynthesizeOne( char * pSop, int fClp );
    Gia_Man_t * pMan, * pNew, * pTemp;  Vec_Str_t * vSop;
    int i, CiId, ObjId, Res, nCubes = 0, nNodes, Count = 0, iNode = Abc_Lit2Var(iLit);
    Vec_Int_t * vCisUsed = Vec_IntAlloc( 100 );
    Gia_ManCollectCis( p, &iNode, 1, vCisUsed );
    Vec_IntSort( vCisUsed, 0 );
    if ( vDLits ) Vec_IntClear( vDLits );
    if ( iLit < 2 )
        return iLit;
    // remap into CI Ids
    Vec_IntForEachEntry( vCisUsed, ObjId, i )
        Vec_IntWriteEntry( vCisUsed, i, Gia_ManIdToCioId(p, ObjId) );
    // duplicate cone
    pNew = Gia_ManDupConeSupp( p, iLit, vCisUsed );
    assert( Gia_ManCiNum(pNew) == Vec_IntSize(vCisUsed) );
    nNodes = Gia_ManAndNum(pNew);
 
    // perform quantification one CI at a time
    assert( pFuncCiToKeep );
    Vec_IntForEachEntry( vCisUsed, CiId, i )
        if ( !pFuncCiToKeep( pData, CiId ) )
        {
            //printf( "Quantifying %d.\n", CiId );
            pNew = Gia_ManDupExist( pTemp = pNew, i );
            Gia_ManStop( pTemp );
            Count++;
        }
    if ( Gia_ManPoIsConst(pNew, 0) )
    {
        int RetValue = Gia_ManPoIsConst1(pNew, 0);
        Vec_IntFree( vCisUsed );
        Gia_ManStop( pNew );
        return RetValue;
    }
 
    if ( fSynthesize )
    {
        vSop = bmcg2_sat_solver_sop( pNew, 0 );
        Gia_ManStop( pNew );
        pMan = Abc_SopSynthesizeOne( Vec_StrArray(vSop), 1 );
        nCubes = Vec_StrCountEntry(vSop, '\n');
        if ( vDLits )
        {
            // convert into object IDs
            Vec_Int_t * vCisObjs = Vec_IntAlloc( Vec_IntSize(vCisUsed) );
            Vec_IntForEachEntry( vCisUsed, CiId, i )
                Vec_IntPush( vCisObjs, CiId + 1 );
            bmcg2_sat_generate_dvars( vCisObjs, vSop, vDLits );
            Vec_IntFree( vCisObjs );
        }
        Vec_StrFree( vSop );
 
        if ( Gia_ManPoIsConst(pMan, 0) )
        {
            int RetValue = Gia_ManPoIsConst1(pMan, 0);
            Vec_IntFree( vCisUsed );
            Gia_ManStop( pMan );
            return RetValue;
        }
    }
    else
    {
        pMan = pNew;
    }
 
    Res = Gia_ManDupConeBack( p, pMan, vCisUsed );
 
    // report the result
    //printf( "Performed quantification with %5d nodes, %3d keep-vars, %3d quant-vars, resulting in %5d cubes and %5d nodes. ", 
    //    nNodes, Vec_IntSize(vCisUsed) - Count, Count, nCubes, Gia_ManAndNum(pMan) );
    //Abc_PrintTime( 1, "Time", Abc_Clock() - clkAll );
 
    Vec_IntFree( vCisUsed );
    Gia_ManStop( pMan );
    return Res;
}

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bmcg2_sat_solver_quantify_test()

int bmcg2_sat_solver_quantify_test	(	bmcg2_sat_solver *	pSats[],
		Gia_Man_t *	p,
		int	iLit,
		int	fHash,
		int(*	pFuncCiToKeep )(void *, int),
		void *	pData,
		Vec_Int_t *	vDLits )

Definition at line 1402 of file AbcGlucose2.cpp.

{
    extern int Gia_ManQuantExist( Gia_Man_t * p, int iLit, int(*pFuncCiToKeep)(void *, int), void * pData );
    int Res1 = Gia_ManQuantExist( p, iLit, pFuncCiToKeep, pData );
    int Res2 = bmcg2_sat_solver_quantify2( p, iLit, 1, pFuncCiToKeep, pData, NULL );
 
    bmcg2_sat_solver * pSat = bmcg2_sat_solver_start();
    if ( bmcg2_sat_solver_equiv_overlap_check( pSat, p, Res1, Res2, 1 ) )
        printf( "Verification passed.\n" );
    else
    {
        printf( "Verification FAILED.\n" );
        bmcg2_sat_solver_print_sop_lit( p, Res1 );
        bmcg2_sat_solver_print_sop_lit( p, Res2 );
        printf( "\n" );
    }
    return Res1;
}

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bmcg2_sat_solver_read_cex()

int * bmcg2_sat_solver_read_cex

(

bmcg2_sat_solver *

s

)

Definition at line 221 of file AbcGlucose2.cpp.

{
    return glucose2_solver_read_cex((Gluco2::SimpSolver*)s);
}

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bmcg2_sat_solver_read_cex_varvalue()

int bmcg2_sat_solver_read_cex_varvalue	(	bmcg2_sat_solver *	s,
		int	ivar )

Definition at line 225 of file AbcGlucose2.cpp.

{
    return glucose2_solver_read_cex_varvalue((Gluco2::SimpSolver*)s, ivar);
}

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bmcg2_sat_solver_reset()

void bmcg2_sat_solver_reset

(

bmcg2_sat_solver *

s

)

Definition at line 159 of file AbcGlucose2.cpp.

{
    glucose2_solver_reset((Gluco2::SimpSolver*)s);
}

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bmcg2_sat_solver_set_conflict_budget()

void bmcg2_sat_solver_set_conflict_budget	(	bmcg2_sat_solver *	s,
		int	Limit )

Definition at line 247 of file AbcGlucose2.cpp.

{
    if ( Limit > 0 ) 
        ((Gluco2::SimpSolver*)s)->setConfBudget( (int64_t)Limit );
    else 
        ((Gluco2::SimpSolver*)s)->budgetOff();
}

bmcg2_sat_solver_set_jftr()

void bmcg2_sat_solver_set_jftr	(	bmcg2_sat_solver *	s,
		int	jftr )

Definition at line 376 of file AbcGlucose2.cpp.

{
    ((Gluco2::SimpSolver*)s)->jftr = jftr;
}

bmcg2_sat_solver_set_nvars()

void bmcg2_sat_solver_set_nvars	(	bmcg2_sat_solver *	s,
		int	nvars )

Definition at line 191 of file AbcGlucose2.cpp.

{
    int i;
    for ( i = bmcg2_sat_solver_varnum(s); i < nvars; i++ )
        bmcg2_sat_solver_addvar(s);
}

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bmcg2_sat_solver_set_runtime_limit()

abctime bmcg2_sat_solver_set_runtime_limit	(	bmcg2_sat_solver *	s,
		abctime	Limit )

Definition at line 240 of file AbcGlucose2.cpp.

{
    abctime nRuntimeLimit = ((Gluco2::SimpSolver*)s)->nRuntimeLimit;
    ((Gluco2::SimpSolver*)s)->nRuntimeLimit = Limit;
    return nRuntimeLimit;
}

bmcg2_sat_solver_set_stop()

void bmcg2_sat_solver_set_stop	(	bmcg2_sat_solver *	s,
		int *	pstop )

Definition at line 230 of file AbcGlucose2.cpp.

{
    glucose2_solver_setstop((Gluco2::SimpSolver*)s, pstop);
}

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bmcg2_sat_solver_set_var_fanin_lit()

void bmcg2_sat_solver_set_var_fanin_lit	(	bmcg2_sat_solver *	s,
		int	var,
		int	lit0,
		int	lit1 )

Definition at line 381 of file AbcGlucose2.cpp.

{
    ((Gluco2::SimpSolver*)s)->sat_solver_set_var_fanin_lit(var, lit0, lit1);
}

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bmcg2_sat_solver_setcallback()

void bmcg2_sat_solver_setcallback	(	bmcg2_sat_solver *	s,
		void *	pman,
		int(*	pfunc )(void *, int, int *) )

Definition at line 170 of file AbcGlucose2.cpp.

{
    glucose2_solver_setcallback((Gluco2::SimpSolver*)s,pman,pfunc);
}

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bmcg2_sat_solver_solve()

int bmcg2_sat_solver_solve	(	bmcg2_sat_solver *	s,
		int *	plits,
		int	nlits )

Definition at line 175 of file AbcGlucose2.cpp.

{
    return glucose2_solver_solve((Gluco2::SimpSolver*)s,plits,nlits);
}

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bmcg2_sat_solver_sop()

Vec_Str_t * bmcg2_sat_solver_sop	(	Gia_Man_t *	p,
		int	CubeLimit )

Definition at line 998 of file AbcGlucose2.cpp.

{
    bmcg2_sat_solver * pSat[2] = { bmcg2_sat_solver_start(), bmcg2_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++ )
    {
        bmcg2_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 ( !bmcg2_sat_solver_addclause( pSat[n], pCnf->pClauses[i], pCnf->pClauses[i+1]-pCnf->pClauses[i] ) )
                assert( 0 );
        if ( !bmcg2_sat_solver_addclause( pSat[n], &Lit, 1 ) )
        {
            Vec_Str_t * vSop = Vec_StrAlloc( 10 );
            Vec_StrPrintF( vSop, " %d\n\0", !n );
            Cnf_DataFree( pCnf );
            return vSop;
        }
    }
    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 = Glucose2_GenerateCubes( pSat, vVars, vVarMap, CubeLimit );
    Vec_IntFree( vVarMap );
    Vec_IntFree( vVars );
 
    bmcg2_sat_solver_stop( pSat[0] );
    bmcg2_sat_solver_stop( pSat[1] );
    return vSop;
}

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bmcg2_sat_solver_start()

bmcg2_sat_solver * bmcg2_sat_solver_start

(

)

MACRO DEFINITIONS ///.

Function*************************************************************

Synopsis [Wrapper APIs to calling from ABC.]

Description []

SideEffects []

SeeAlso []

Definition at line 151 of file AbcGlucose2.cpp.

{
    return (bmcg2_sat_solver *)glucose2_solver_start();
}

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bmcg2_sat_solver_start_new_round()

void bmcg2_sat_solver_start_new_round

(

bmcg2_sat_solver *

s

)

Definition at line 386 of file AbcGlucose2.cpp.

{
    ((Gluco2::SimpSolver*)s)->sat_solver_start_new_round();
}

bmcg2_sat_solver_stop()

void bmcg2_sat_solver_stop

(

bmcg2_sat_solver *

s

)

Definition at line 155 of file AbcGlucose2.cpp.

{
    glucose2_solver_stop((Gluco2::SimpSolver*)s);
}

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bmcg2_sat_solver_var_is_elim()

int bmcg2_sat_solver_var_is_elim	(	bmcg2_sat_solver *	s,
		int	v )

Definition at line 204 of file AbcGlucose2.cpp.

{
//    return 0; 
    return ((Gluco2::SimpSolver*)s)->isEliminated(v);
}

bmcg2_sat_solver_var_set_frozen()

void bmcg2_sat_solver_var_set_frozen	(	bmcg2_sat_solver *	s,
		int	v,
		int	freeze )

Definition at line 210 of file AbcGlucose2.cpp.

{
    ((Gluco2::SimpSolver*)s)->setFrozen(v, freeze != 0);
}

bmcg2_sat_solver_varnum()

int bmcg2_sat_solver_varnum

(

bmcg2_sat_solver *

s

)

Definition at line 255 of file AbcGlucose2.cpp.

{
    return ((Gluco2::SimpSolver*)s)->nVars();
}

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Gia_ManCiIsToKeep2()

int Gia_ManCiIsToKeep2	(	void *	pData,
		int	i )

Definition at line 1371 of file AbcGlucose2.cpp.

{
    return i % 5 != 0;
}

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Gia_ManFactorSop2()

int Gia_ManFactorSop2	(	Gia_Man_t *	p,
		Vec_Int_t *	vCiObjIds,
		Vec_Str_t *	vSop,
		int	fHash )

Definition at line 1255 of file AbcGlucose2.cpp.

{
    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;
}

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Gia_ManQuantLoadCnf2()

void Gia_ManQuantLoadCnf2	(	Gia_Man_t *	p,
		Vec_Int_t *	vObjsUsed,
		bmcg2_sat_solver *	pSats[] )

Definition at line 1225 of file AbcGlucose2.cpp.

{
    Gia_Obj_t * pObj; int i;
    bmcg2_sat_solver_reset( pSats[0] );
    if ( pSats[1] )
    bmcg2_sat_solver_reset( pSats[1] );
    bmcg2_sat_solver_set_nvars( pSats[0], Vec_IntSize(vObjsUsed) );
    if ( pSats[1] )
    bmcg2_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));
            bmcg2_sat_solver_add_and( pSats[0], iVar, iVar0, iVar1, Gia_ObjFaninC0(pObj), Gia_ObjFaninC1(pObj), 0 );
            if ( pSats[1] )
            bmcg2_sat_solver_add_and( pSats[1], iVar, iVar0, iVar1, Gia_ObjFaninC0(pObj), Gia_ObjFaninC1(pObj), 0 );
        }
        else if ( Gia_ObjIsConst0(pObj) )
        {
            int Lit = Abc_Var2Lit( Gia_ObjCopyArray(p, 0), 1 );
            int RetValue = bmcg2_sat_solver_addclause( pSats[0], &Lit, 1 );
            assert( RetValue );
            if ( pSats[1] )
            bmcg2_sat_solver_addclause( pSats[1], &Lit, 1 );
            assert( Lit == 1 );
        }
}

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Gia_ManSatAndCollect2_rec()

int Gia_ManSatAndCollect2_rec	(	Gia_Man_t *	p,
		int	iObj,
		Vec_Int_t *	vObjsUsed,
		Vec_Int_t *	vCiVars )

Function*************************************************************

Synopsis [Performs SAT-based quantification.]

Description []

SideEffects []

SeeAlso []

Definition at line 1206 of file AbcGlucose2.cpp.

{
    Gia_Obj_t * pObj; int iVar;
    if ( (iVar = Gia_ObjCopyArray(p, iObj)) >= 0 )
        return iVar;
    pObj = Gia_ManObj( p, iObj );
    assert( Gia_ObjIsCand(pObj) );
    if ( Gia_ObjIsAnd(pObj) )
    {
        Gia_ManSatAndCollect2_rec( p, Gia_ObjFaninId0(pObj, iObj), vObjsUsed, vCiVars );
        Gia_ManSatAndCollect2_rec( p, Gia_ObjFaninId1(pObj, iObj), vObjsUsed, vCiVars );
    }
    iVar = Vec_IntSize( vObjsUsed );
    Vec_IntPush( vObjsUsed, iObj );
    Gia_ObjSetCopyArray( p, iObj, iVar );
    if ( vCiVars && Gia_ObjIsCi(pObj) )
        Vec_IntPush( vCiVars, iVar );
    return iVar;
}                             

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Glucose2_CheckTwoNodesTest()

void Glucose2_CheckTwoNodesTest

(

Gia_Man_t *

p

)

Definition at line 1477 of file AbcGlucose2.cpp.

{
    int n, Res;
    bmcg2_sat_solver * pSat = bmcg2_sat_solver_start();
    for ( n = 0; n < 2; n++ )
    {
        Res = bmcg2_sat_solver_equiv_overlap_check( 
            pSat, p, 
            Gia_ObjFaninLit0p(p, Gia_ManPo(p, 0)), 
            Gia_ObjFaninLit0p(p, Gia_ManPo(p, 1)), 
            n );
        bmcg2_sat_solver_reset( pSat );
        printf( "%s %s.\n", n ? "Equivalence" : "Overlap", Res ? "holds" : "fails" );
    }
    bmcg2_sat_solver_stop( pSat );
}

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Glucose2_GenerateCubes()

Vec_Str_t * Glucose2_GenerateCubes	(	bmcg2_sat_solver *	pSat[2],
		Vec_Int_t *	vCiSatVars,
		Vec_Int_t *	vVar2Index,
		int	CubeLimit )

Function*************************************************************

Synopsis []

Description []

SideEffects []

SeeAlso []

Definition at line 940 of file AbcGlucose2.cpp.

{
    int fCreatePrime = 1;
    int nCubes, nSupp = Vec_IntSize(vCiSatVars);
    Vec_Str_t * vSop  = Vec_StrAlloc( 1000 );
    Vec_Int_t * vLits = Vec_IntAlloc( nSupp );
    Vec_Str_t * vCube = Vec_StrAlloc( nSupp + 4 );
    Vec_StrFill( vCube, nSupp, '-' );
    Vec_StrPrintF( vCube, " 1\n\0" );
    for ( nCubes = 0; !CubeLimit || nCubes < CubeLimit; nCubes++ )
    {
        int * pFinal, nFinal, iVar, i, k = 0;
        // generate onset minterm
        int status = bmcg2_sat_solver_solve( pSat[1], NULL, 0 );
        if ( status == GLUCOSE_UNSAT )
            break;
        assert( status == GLUCOSE_SAT );
        Vec_IntClear( vLits );
        Vec_IntForEachEntry( vCiSatVars, iVar, i )
            Vec_IntPush( vLits, Abc_Var2Lit(iVar, !bmcg2_sat_solver_read_cex_varvalue(pSat[1], iVar)) );
        // expand against offset
        if ( fCreatePrime )
        {
            nFinal = bmcg2_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 = bmcg2_sat_solver_solve( pSat[0], Vec_IntArray(vLits), Vec_IntSize(vLits) );
            assert( status == GLUCOSE_UNSAT );
            nFinal = bmcg2_sat_solver_final( pSat[0], &pFinal );
        }
        // print cube
        Vec_StrFill( vCube, nSupp, '-' );
        for ( i = 0; i < nFinal; i++ )
        {
            int Index = Vec_IntEntry(vVar2Index, Abc_Lit2Var(pFinal[i]));
            if ( Index == -1 )
                continue;
            pFinal[k++] = pFinal[i];
            assert( Index >= 0 && Index < nSupp );
            Vec_StrWriteEntry( vCube, Index, (char)('0' + Abc_LitIsCompl(pFinal[i])) );
        }
        nFinal = k;
        Vec_StrAppend( vSop, Vec_StrArray(vCube) );
        //printf( "%s\n", Vec_StrArray(vCube) );
        // add blocking clause
        if ( !bmcg2_sat_solver_addclause( pSat[1], pFinal, nFinal ) )
            break;
    }
    Vec_IntFree( vLits );
    Vec_StrFree( vCube );
    Vec_StrPush( vSop, '\0' );
    return vSop;
}

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glucose2_markapprox()

void glucose2_markapprox	(	Gluco2::SimpSolver *	S,
		int	v0,
		int	v1,
		int	nlim )

Definition at line 135 of file AbcGlucose2.cpp.

{
    S->markApprox(v0, v1, nlim);
}

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glucose2_print_stats()

void glucose2_print_stats	(	SimpSolver &	s,
		abctime	clk )

Function*************************************************************

Synopsis []

Description []

SideEffects []

SeeAlso []

Definition at line 766 of file AbcGlucose2.cpp.

{
    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);
}

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Glucose2_QuantifyAigTest()

void Glucose2_QuantifyAigTest

(

Gia_Man_t *

p

)

Definition at line 1375 of file AbcGlucose2.cpp.

{
    bmcg2_sat_solver * pSats[3] = { bmcg2_sat_solver_start(), bmcg2_sat_solver_start(), bmcg2_sat_solver_start() };
 
    abctime clk1 = Abc_Clock();
    int iRes1 = bmcg2_sat_solver_quantify( pSats, p, Gia_ObjFaninLit0p(p, Gia_ManPo(p, 0)), 0, Gia_ManCiIsToKeep2, NULL, NULL );
    abctime clk1d = Abc_Clock()-clk1;
 
    abctime clk2 = Abc_Clock();
    int iRes2 = bmcg2_sat_solver_quantify2( p, Gia_ObjFaninLit0p(p, Gia_ManPo(p, 0)), 0, Gia_ManCiIsToKeep2, NULL, NULL );
    abctime clk2d = Abc_Clock()-clk2;
 
    Abc_PrintTime( 1, "Time1", clk1d );
    Abc_PrintTime( 1, "Time2", clk2d );
 
    if ( bmcg2_sat_solver_equiv_overlap_check( pSats[2], p, iRes1, iRes2, 1 ) )
        printf( "Verification passed.\n" );
    else
        printf( "Verification FAILED.\n" );
 
    Gia_ManAppendCo( p, iRes1 );
    Gia_ManAppendCo( p, iRes2 );
 
    bmcg2_sat_solver_stop( pSats[0] );
    bmcg2_sat_solver_stop( pSats[1] );
    bmcg2_sat_solver_stop( pSats[2] );
}

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Glucose2_SolveAig()

int Glucose2_SolveAig	(	Gia_Man_t *	p,
		Glucose2_Pars *	pPars )

Function*************************************************************

Synopsis []

Description []

SideEffects []

SeeAlso []

Definition at line 1505 of file AbcGlucose2.cpp.

{  
    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 Simplification 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 ) glucose2_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);
}

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Glucose2_SolveCnf()

void Glucose2_SolveCnf	(	char *	pFileName,
		Glucose2_Pars *	pPars )

Function*************************************************************

Synopsis []

Description []

SideEffects []

SeeAlso []

Definition at line 848 of file AbcGlucose2.cpp.

{
    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 Simplification 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 ) glucose2_print_stats(S, Abc_Clock() - clk);
    printf(ret == l_True ? "SATISFIABLE" : ret == l_False ? "UNSATISFIABLE" : "INDETERMINATE");
    Abc_PrintTime( 1, "      Time", Abc_Clock() - clk );
}

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glucose2_solver_addclause()

int glucose2_solver_addclause	(	Gluco2::SimpSolver *	S,
		int *	plits,
		int	nlits )

Definition at line 78 of file AbcGlucose2.cpp.

{
    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
}

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glucose2_solver_addvar()

int glucose2_solver_addvar

(

Gluco2::SimpSolver *

S

)

Definition at line 114 of file AbcGlucose2.cpp.

{
    S->newVar();
    return S->nVars() - 1;
}

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glucose2_solver_read_cex()

int * glucose2_solver_read_cex

(

Gluco2::SimpSolver *

S

)

Definition at line 120 of file AbcGlucose2.cpp.

{
    return S->getCex();
}

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glucose2_solver_read_cex_varvalue()

int glucose2_solver_read_cex_varvalue	(	Gluco2::SimpSolver *	S,
		int	ivar )

Definition at line 125 of file AbcGlucose2.cpp.

{
    return S->model[ivar] == l_True;
}

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glucose2_solver_reset()

void glucose2_solver_reset

(

Gluco2::SimpSolver *

S

)

Definition at line 73 of file AbcGlucose2.cpp.

{
    S->reset();
}

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glucose2_solver_setcallback()

void glucose2_solver_setcallback	(	Gluco2::SimpSolver *	S,
		void *	pman,
		int(*	pfunc )(void *, int, int *) )

Definition at line 93 of file AbcGlucose2.cpp.

{
    S->pCnfMan = pman;
    S->pCnfFunc = pfunc;
    S->nCallConfl = 1000;
}

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glucose2_solver_setstop()

void glucose2_solver_setstop	(	Gluco2::SimpSolver *	S,
		int *	pstop )

Definition at line 130 of file AbcGlucose2.cpp.

{
    S->pstop = pstop;
}

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glucose2_solver_solve()

int glucose2_solver_solve	(	Gluco2::SimpSolver *	S,
		int *	plits,
		int	nlits )

Definition at line 100 of file AbcGlucose2.cpp.

{
//    vec<Lit> lits;
//    for (int i=0;i<nlits;i++,plits++)
//    {
//        Lit p;
//        p.x = *plits;
//        lits.push(p);
//    }
//    Gluco2::lbool res = S->solveLimited(lits, 0);
//    return (res == l_True ? 1 : res == l_False ? -1 : 0);
    return S->solveLimited(plits, nlits, 0);
}

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glucose2_solver_start()

SimpSolver * glucose2_solver_start

(

)

FUNCTION DEFINITIONS ///.

Function*************************************************************

Synopsis []

Description []

SideEffects []

SeeAlso []

Definition at line 61 of file AbcGlucose2.cpp.

{
    SimpSolver * S = new SimpSolver;
    S->setIncrementalMode();
    return S;
}

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glucose2_solver_stop()

void glucose2_solver_stop

(

Gluco2::SimpSolver *

S

)

Definition at line 68 of file AbcGlucose2.cpp.

{
    delete S;
}

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Glucose_ReadDimacs()

void Glucose_ReadDimacs	(	char *	pFileName,
		SimpSolver &	s )

Function*************************************************************

Synopsis []

Description []

SideEffects []

SeeAlso []

Definition at line 798 of file AbcGlucose2.cpp.

{
    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 );
}

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Glucose_SolverFromAig()

Vec_Int_t * Glucose_SolverFromAig	(	Gia_Man_t *	p,
		SimpSolver &	s )

Function*************************************************************

Synopsis []

Description []

SideEffects []

SeeAlso []

Definition at line 894 of file AbcGlucose2.cpp.

{
    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, Gia_ManObjNum(p));
    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;
}

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Glucose_SolverFromAig2()

Vec_Int_t * Glucose_SolverFromAig2	(	Gia_Man_t *	p,
		SimpSolver &	S )

Definition at line 914 of file AbcGlucose2.cpp.

{
    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 ( !glucose2_solver_addclause( &S, pCnf->pClauses[i], pCnf->pClauses[i+1]-pCnf->pClauses[i] ) )
            assert( 0 );
    Vec_Int_t * vCnfIds = Vec_IntAllocArrayCopy(pCnf->pVarNums, Gia_ManObjNum(p));
    //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;
}

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