Example #1
0
        public void TestIntZ3()
        {
            var solver = new Z3Provider();
            var isNeg  = solver.MkLt(solver.MkVar(0, solver.IntSort), solver.MkInt(0));
            var isPos  = solver.MkLt(solver.MkInt(0), solver.MkVar(0, solver.IntSort));

            var sort = solver.CharacterSort;
            //if x has a negative label then x has successor y with a nonnegative label
            var x   = new Variable("x", true);
            var y   = new Variable("y", true);
            var psi = new MSOImplies <Expr>(
                new MSOPredicate <Expr>(isNeg, x),
                new MSOExists <Expr>(y,
                                     new MSOAnd <Expr>(
                                         new MSOSuccN <Expr>(x, y, 1),
                                         new MSOPredicate <Expr>(isPos, y)
                                         )
                                     )
                );
            //all negative labels are immediately followed by a positive label
            MSOFormula <Expr> phi = new MSOForall <Expr>(x, psi);
            var ca      = new CartesianAlgebraBDD <Expr>(solver);
            var aut_psi = psi.GetAutomaton(ca).Determinize().Minimize();
            var aut_phi = phi.GetAutomaton(solver).Determinize().Minimize();

            Assert.IsFalse(aut_phi.IsEmpty);
            //aut_phi.ShowGraph("aut_phi");
            //aut_psi.ShowGraph("aut_psi");
        }
Example #2
0
        private Variable ConvertSet(MonaExpr set, MapStack <string, MonaParam> locals, out MSOFormula <BDD> psi)
        {
            if (set.NrOfSubexprs == 0)
            {
                return(ConvertEmptyset(out psi));
            }

            MSOFormula <BDD> disj = null;
            Variable         x    = MkNewVar1();
            Variable         X    = MkNewVar2();

            for (int i = 0; i < set.NrOfSubexprs; i++)
            {
                MonaExpr t = set[i];
                if (t.symbol.Kind == Tokens.RANGE)
                {
                    MSOFormula <BDD> from_psi;
                    Variable         from = ConvertTerm1(t[0], locals, out from_psi);
                    MSOFormula <BDD> to_psi;
                    Variable         to = ConvertTerm1(t[1], locals, out to_psi);

                    MSOFormula <BDD> range = AddConstraints(from_psi, from, to_psi, to,
                                                            new MSOAnd <BDD>(new MSOLe <BDD>(from, x), new MSOLe <BDD>(x, to)));

                    if (disj == null)
                    {
                        disj = range;
                    }
                    else
                    {
                        disj = new MSOOr <BDD>(disj, range);
                    }
                }
                else
                {
                    MSOFormula <BDD> y_psi;
                    Variable         y = ConvertTerm1(t, locals, out y_psi);

                    MSOFormula <BDD> elem = new MSOEq <BDD>(x, y);
                    if (y_psi != null)
                    {
                        elem = new MSOExists <BDD>(y, new MSOAnd <BDD>(y_psi, elem));
                    }

                    if (disj == null)
                    {
                        disj = elem;
                    }
                    else
                    {
                        disj = new MSOOr <BDD>(disj, elem);
                    }
                }
            }

            var pred = new MSOForall <BDD>(x, new MSOEquiv <BDD>(new MSOIn <BDD>(x, X), disj));

            psi = pred;
            return(X);
        }
Example #3
0
        Automaton<T> CreateAutomaton3<T>(Func<int, T> f, int bitWidth, IBooleanAlgebra<T> Z)
        {

            Func<int, Variable, MSOPredicate<T>> pred = (i, s) => new MSOPredicate<T>(f(i), s);

            MSOFormula<T> phi = new MSOTrue<T>();

            // x1<x2<x3<x4...
            for (int index = 1; index < bitWidth; index++)
            {
                MSOFormula<T> phi1 = new MSOLt<T>(V1("x" + (index - 1)), V1("x" + index));
                phi = new MSOAnd<T>(phi, phi1);
            }

            // bi(xi)
            for (int index = 0; index < bitWidth; index++)
            {
                MSOFormula<T> phi1 = pred(index, V1("x" + index));
                phi = new MSOAnd<T>(phi, phi1);
            }

            // exists forall...
            for (int index = 0; index < bitWidth; index++)
            {
                if (index % 2 == 0)
                    phi = new MSOExists<T>(V1("x" + index), phi);
                else
                    phi = new MSOForall<T>(V1("x" + index), phi);
            }
            var aut = phi.GetAutomaton(Z);
            return aut;
        }
Example #4
0
        public void TestMSO_Succ()
        {
            var solver           = new CharSetSolver(BitWidth.BV32);
            var x                = new Variable("x", true);
            var y                = new Variable("y", true);
            MSOFormula <BDD> phi = new MSOForall <BDD>(x,
                                                       new MSOImplies <BDD>(
                                                           new MSOPredicate <BDD>(solver.MkCharConstraint('c'), x),
                                                           new MSOExists <BDD>(y,
                                                                               new MSOAnd <BDD>(
                                                                                   new MSOSuccN <BDD>(x, y, 1),
                                                                                   new MSOPredicate <BDD>(solver.MkCharConstraint('a'), y)
                                                                                   )
                                                                               )
                                                           )
                                                       );

            var aut = phi.GetAutomaton(solver);

            for (int i = 0; i < 10; i++)
            {
                var s = solver.GenerateMember(aut);
                Assert.IsTrue(System.Text.RegularExpressions.Regex.IsMatch(s, "^(ca|[^c])*$"));
            }
            var aut2 = solver.RegexConverter.Convert("^(ca|[^c])*$");

            Assert.IsTrue(aut2.IsEquivalentWith(aut));
        }
Example #5
0
 public void TestWS1S_Forall_x_Exists_y_x_lt_y() 
 {
     var triv = new TrivialBooleanAlgebra();
     var ca = new BDDAlgebra<bool>(triv); 
     var x = new Variable("x", true);
     var y = new Variable("y", true);
     var x_lt_y = new MSOLt<bool>(x, y);
     var aut_x_lt_y = x_lt_y.GetAutomaton(ca);
     //aut_x_lt_y.ShowGraph("aut_x_lt_y");
     var psi4 = new MSOForall<bool>(x, new MSOExists<bool>(y, (x_lt_y)));
     var aut = psi4.GetAutomaton(ca);
     //accepts only the empty word
     Assert.IsTrue(aut.StateCount == 1 && aut.IsFinalState(aut.InitialState) && aut.MoveCount == 0);
 }
Example #6
0
        public void TestMSO_Forall()
        {
            var solver = new CharSetSolver(BitWidth.BV16);
            var x = new Variable("x", true);
            MSOFormula<BDD> phi = new MSOForall<BDD>(x, new MSOPredicate<BDD>(solver.MkCharConstraint('c',true), x));

            var aut = phi.GetAutomaton(solver);
            //aut.ShowGraph("aut");
            for (int i = 0; i < 10; i++)
            {
                TestContext.WriteLine(solver.GenerateMember(aut));
            }
            var aut2 = solver.RegexConverter.Convert("^(c|C)*$");
            //aut2.ShowGraph("aut2");
            Assert.IsTrue(aut2.IsEquivalentWith(aut));
        }
Example #7
0
        private Variable ConvertSetminus(MonaExpr set1, MonaExpr set2, MapStack <string, MonaParam> locals, out MSOFormula <BDD> pred)
        {
            MSOFormula <BDD> psi1;
            var X1 = ConvertTerm2(set1, locals, out psi1);
            MSOFormula <BDD> psi2;
            var X2 = ConvertTerm2(set2, locals, out psi2);

            var X = MkNewVar2();
            var x = MkNewVar1();
            MSOFormula <BDD> diff = new MSOForall <BDD>(x,
                                                        new MSOEquiv <BDD>(new MSOIn <BDD>(x, X),
                                                                           new MSOAnd <BDD>(new MSOIn <BDD>(x, X1),
                                                                                            new MSONot <BDD>(new MSOIn <BDD>(x, X2)))));

            pred = AddConstraints(psi2, X2, psi1, X1, diff);
            return(X);
        }
Example #8
0
        public void TestMSO_Or()
        {
            var solver = new CharSetSolver(BitWidth.BV32);
            MSOFormula<BDD> phi = new MSOForall<BDD>(V1("x"),
                    new MSOOr<BDD>(
                        new MSOPredicate<BDD>(solver.MkCharConstraint( 'c'), V1("x")),
                        new MSOPredicate<BDD>(solver.MkCharConstraint( 'a'), V1("x"))
                    )
                );

            var aut = phi.GetAutomaton(solver);
            for (int i = 0; i < 10; i++)
            {
                var s = solver.GenerateMember(aut);
                Assert.IsTrue(System.Text.RegularExpressions.Regex.IsMatch(s, "^[ac]*$"));
            }
            var aut2 = solver.RegexConverter.Convert("^[ac]*$");
            Assert.IsTrue(aut2.IsEquivalentWith(aut));
        }
Example #9
0
        static Automaton <T> CreateAutomaton3 <T>(Func <int, T> f, int bitWidth, IBooleanAlgebra <T> Z)
        {
            Func <int, string, MSOPredicate <T> > pred = (i, s) => new MSOPredicate <T>(f(i), new Variable(s, true));

            MSOFormula <T> phi = new MSOTrue <T>();

            // x1<x2<x3<x4...
            for (int index = 1; index < bitWidth; index++)
            {
                MSOFormula <T> phi1 = new MSOLt <T>(new Variable("x" + (index - 1), true), new Variable("x" + index, true));
                phi = new MSOAnd <T>(phi, phi1);
            }

            // bi(xi)
            for (int index = 0; index < bitWidth; index++)
            {
                MSOFormula <T> phi1 = pred(index, "x" + index);
                phi = new MSOAnd <T>(phi, phi1);
            }

            // exists forall...
            for (int index = 0; index < bitWidth; index++)
            {
                if (index % 2 == 0)
                {
                    phi = new MSOExists <T>(new Variable("x" + index, true), phi);
                }
                else
                {
                    phi = new MSOForall <T>(new Variable("x" + index, true), phi);
                }
            }

            var aut = phi.GetAutomaton(Z);

            return(aut);
        }
Example #10
0
        private MSOFormula <BDD> ConvertFormula(MonaExpr expr, MapStack <string, MonaParam> locals)
        {
            switch (expr.symbol.Kind)
            {
            case Tokens.TRUE:
                return(new MSOTrue <BDD>());

            case Tokens.FALSE:
                return(new MSOFalse <BDD>());

            case Tokens.NOT:
                return(new MSONot <BDD>(ConvertFormula(expr[0], locals)));

            case Tokens.AND:
                return(new MSOAnd <BDD>(ConvertFormula(expr[0], locals), ConvertFormula(expr[1], locals)));

            case Tokens.OR:
                return(new MSOOr <BDD>(ConvertFormula(expr[0], locals), ConvertFormula(expr[1], locals)));

            case Tokens.IMPLIES:
                return(new MSOImplies <BDD>(ConvertFormula(expr[0], locals), ConvertFormula(expr[1], locals)));

            case Tokens.EQUIV:
                return(new MSOEquiv <BDD>(ConvertFormula(expr[0], locals), ConvertFormula(expr[1], locals)));

            case Tokens.EQ:
                return(ConvertEq(expr[0], expr[1], locals));

            case Tokens.NE:
                return(new MSONot <BDD>(ConvertEq(expr[0], expr[1], locals)));

            case Tokens.LT:
                return(ConvertLt(expr[0], expr[1], locals));

            case Tokens.GT:
                return(ConvertLt(expr[1], expr[0], locals));

            case Tokens.LE:
                return(ConvertLe(expr[0], expr[1], locals));

            case Tokens.GE:
                return(ConvertLe(expr[1], expr[0], locals));

            case Tokens.SUBSET:
                return(ConvertSubset(expr[1], expr[0], locals));

            case Tokens.IN:
                return(ConvertIn(expr[0], expr[1], locals));

            case Tokens.NOTIN:
                return(new MSONot <BDD>(ConvertIn(expr[0], expr[1], locals)));

            case Tokens.EMPTY:
                return(ConvertIsEmpty(expr[0], locals));

            case Tokens.EX1:
            case Tokens.EX2:
            {
                MonaQFormula phi = (MonaQFormula)expr;
                if ((phi.universes != null && phi.universes.Count > 1) ||
                    phi.vars.Exists(vw => vw.where != null))
                {
                    throw new NotImplementedException(expr.ToString());
                }
                MSOFormula <BDD> psi = ConvertFormula(phi.formula, locals.Push(phi.varmap));
                foreach (var vw in phi.vars)
                {
                    psi = new MSOExists <BDD>(new Variable(vw.name, phi.varmap[vw.name].type == MonaExprType.INT), psi);
                }
                return(psi);
            }

            case Tokens.ALL1:
            case Tokens.ALL2:
            {
                MonaQFormula phi = (MonaQFormula)expr;
                if ((phi.universes != null && phi.universes.Count > 1) ||
                    phi.vars.Exists(vw => vw.where != null))
                {
                    throw new NotImplementedException(expr.ToString());
                }
                MSOFormula <BDD> psi = ConvertFormula(phi.formula, locals.Push(phi.varmap));
                foreach (var vw in phi.vars)
                {
                    psi = new MSOForall <BDD>(new Variable(vw.name, phi.varmap[vw.name].type == MonaExprType.INT), psi);
                }
                return(psi);
            }

            default:
                throw new NotImplementedException(expr.ToString());
            }
        }
Example #11
0
        private static Pair<MSOFormula<BoolExpr>, List<BoolExpr>> GenerateMSOFormula(int maxVarIndex)
        {
            int randomNumber = random.Next(0, 8);
            size--;
            if (size <= 0)
            {
                int variable = random.Next(0, maxVarIndex-1);
                BoolExpr b = GeneratePredicateOut(200);
                List<BoolExpr> l = new List<BoolExpr>();
                l.Add(b);
                return new Pair<MSOFormula<BoolExpr>, List<BoolExpr>>(new MSOPredicate<BoolExpr>(b, new Variable("x"+variable, true)), l);
            }
            switch (randomNumber)
            {
                case 0:
                    {
                        Pair<MSOFormula<BoolExpr>, List<BoolExpr>> phi1 = GenerateMSOFormula(maxVarIndex + 1);
                        MSOFormula<BoolExpr> phi = new MSOExists<BoolExpr>(new Variable("x"+maxVarIndex, true), phi1.First);
                        return new Pair<MSOFormula<BoolExpr>, List<BoolExpr>>(phi, phi1.Second);
                    }
                case 1:
                    {
                        Pair<MSOFormula<BoolExpr>, List<BoolExpr>> phi1 = GenerateMSOFormula(maxVarIndex + 1);
                        MSOFormula<BoolExpr> phi = new MSOForall<BoolExpr>(new Variable("x" + maxVarIndex, true), phi1.First);
                        return new Pair<MSOFormula<BoolExpr>, List<BoolExpr>>(phi, phi1.Second);
                    }
                case 2:
                case 3:
                    {
                        Pair<MSOFormula<BoolExpr>, List<BoolExpr>> phi1 = GenerateMSOFormula(maxVarIndex);
                        Pair<MSOFormula<BoolExpr>, List<BoolExpr>> phi2 = GenerateMSOFormula(maxVarIndex);
                        MSOFormula<BoolExpr> phi = new MSOAnd<BoolExpr>(phi1.First, phi2.First);
                        return new Pair<MSOFormula<BoolExpr>, List<BoolExpr>>(phi, new List<BoolExpr>(phi1.Second.Union(phi2.Second)));
                    }
                case 4:
                case 5:
                    {
                        Pair<MSOFormula<BoolExpr>, List<BoolExpr>> phi1 = GenerateMSOFormula(maxVarIndex);
                        Pair<MSOFormula<BoolExpr>, List<BoolExpr>> phi2 = GenerateMSOFormula(maxVarIndex);
                        MSOFormula<BoolExpr> phi = new MSOOr<BoolExpr>(phi1.First, phi2.First);
                        return new Pair<MSOFormula<BoolExpr>, List<BoolExpr>>(phi, new List<BoolExpr>(phi1.Second.Union(phi2.Second)));
                    }
                case 6:
                    {
                        Pair<MSOFormula<BoolExpr>, List<BoolExpr>> phi1 = GenerateMSOFormula(maxVarIndex);
                        MSOFormula<BoolExpr> phi = new MSONot<BoolExpr>(phi1.First);
                        return new Pair<MSOFormula<BoolExpr>, List<BoolExpr>>(phi, phi1.Second);
                    }
                case 7:
                    {
                        if (maxVarIndex > 1)
                        {
                            int variable1 = random.Next(0, maxVarIndex - 1);
                            int variable2 = random.Next(0, maxVarIndex - 1);
                            if (variable1 == variable2)
                            {
                                if (variable1 == maxVarIndex - 1)
                                    variable1 = variable1 - 1;
                                else
                                    variable2 = variable2 + 1;
                            }

                            //Successor
                            MSOFormula<BoolExpr> phi = new MSOSuccN<BoolExpr>(varOf(variable1),varOf(variable2),random.Next(1,4));
                            return new Pair<MSOFormula<BoolExpr>, List<BoolExpr>>(phi, new List<BoolExpr>());
                        }
                        else
                        {
                            int variable = random.Next(0, maxVarIndex - 1);
                            BoolExpr b = GeneratePredicate();
                            List<BoolExpr> l = new List<BoolExpr>();
                            l.Add(b);
                            return new Pair<MSOFormula<BoolExpr>, List<BoolExpr>>(new MSOPredicate<BoolExpr>(b, new Variable("x" + variable, true)), l);
                        }

                    }
                case 8:
                    {
                        int variable1 = random.Next(0, maxVarIndex - 1);
                        int variable2 = random.Next(0, maxVarIndex - 1);

                        //less than
                        MSOFormula<BoolExpr> phi = new MSOLe<BoolExpr>(varOf(variable1), varOf(variable2));
                        return new Pair<MSOFormula<BoolExpr>, List<BoolExpr>>(phi, new List<BoolExpr>());
                    }
            }
            return null;
        }
Example #12
0
        private static Pair <MSOFormula <BoolExpr>, List <BoolExpr> > GenerateMSOFormula(int maxVarIndex)
        {
            int randomNumber = random.Next(0, 8);

            size--;
            if (size <= 0)
            {
                int             variable = random.Next(0, maxVarIndex - 1);
                BoolExpr        b        = GeneratePredicateOut(200);
                List <BoolExpr> l        = new List <BoolExpr>();
                l.Add(b);
                return(new Pair <MSOFormula <BoolExpr>, List <BoolExpr> >(new MSOPredicate <BoolExpr>(b, new Variable("x" + variable, true)), l));
            }
            switch (randomNumber)
            {
            case 0:
            {
                Pair <MSOFormula <BoolExpr>, List <BoolExpr> > phi1 = GenerateMSOFormula(maxVarIndex + 1);
                MSOFormula <BoolExpr> phi = new MSOExists <BoolExpr>(new Variable("x" + maxVarIndex, true), phi1.First);
                return(new Pair <MSOFormula <BoolExpr>, List <BoolExpr> >(phi, phi1.Second));
            }

            case 1:
            {
                Pair <MSOFormula <BoolExpr>, List <BoolExpr> > phi1 = GenerateMSOFormula(maxVarIndex + 1);
                MSOFormula <BoolExpr> phi = new MSOForall <BoolExpr>(new Variable("x" + maxVarIndex, true), phi1.First);
                return(new Pair <MSOFormula <BoolExpr>, List <BoolExpr> >(phi, phi1.Second));
            }

            case 2:
            case 3:
            {
                Pair <MSOFormula <BoolExpr>, List <BoolExpr> > phi1 = GenerateMSOFormula(maxVarIndex);
                Pair <MSOFormula <BoolExpr>, List <BoolExpr> > phi2 = GenerateMSOFormula(maxVarIndex);
                MSOFormula <BoolExpr> phi = new MSOAnd <BoolExpr>(phi1.First, phi2.First);
                return(new Pair <MSOFormula <BoolExpr>, List <BoolExpr> >(phi, new List <BoolExpr>(phi1.Second.Union(phi2.Second))));
            }

            case 4:
            case 5:
            {
                Pair <MSOFormula <BoolExpr>, List <BoolExpr> > phi1 = GenerateMSOFormula(maxVarIndex);
                Pair <MSOFormula <BoolExpr>, List <BoolExpr> > phi2 = GenerateMSOFormula(maxVarIndex);
                MSOFormula <BoolExpr> phi = new MSOOr <BoolExpr>(phi1.First, phi2.First);
                return(new Pair <MSOFormula <BoolExpr>, List <BoolExpr> >(phi, new List <BoolExpr>(phi1.Second.Union(phi2.Second))));
            }

            case 6:
            {
                Pair <MSOFormula <BoolExpr>, List <BoolExpr> > phi1 = GenerateMSOFormula(maxVarIndex);
                MSOFormula <BoolExpr> phi = new MSONot <BoolExpr>(phi1.First);
                return(new Pair <MSOFormula <BoolExpr>, List <BoolExpr> >(phi, phi1.Second));
            }

            case 7:
            {
                if (maxVarIndex > 1)
                {
                    int variable1 = random.Next(0, maxVarIndex - 1);
                    int variable2 = random.Next(0, maxVarIndex - 1);
                    if (variable1 == variable2)
                    {
                        if (variable1 == maxVarIndex - 1)
                        {
                            variable1 = variable1 - 1;
                        }
                        else
                        {
                            variable2 = variable2 + 1;
                        }
                    }

                    //Successor
                    MSOFormula <BoolExpr> phi = new MSOSuccN <BoolExpr>(varOf(variable1), varOf(variable2), random.Next(1, 4));
                    return(new Pair <MSOFormula <BoolExpr>, List <BoolExpr> >(phi, new List <BoolExpr>()));
                }
                else
                {
                    int             variable = random.Next(0, maxVarIndex - 1);
                    BoolExpr        b        = GeneratePredicate();
                    List <BoolExpr> l        = new List <BoolExpr>();
                    l.Add(b);
                    return(new Pair <MSOFormula <BoolExpr>, List <BoolExpr> >(new MSOPredicate <BoolExpr>(b, new Variable("x" + variable, true)), l));
                }
            }

            case 8:
            {
                int variable1 = random.Next(0, maxVarIndex - 1);
                int variable2 = random.Next(0, maxVarIndex - 1);

                //less than
                MSOFormula <BoolExpr> phi = new MSOLe <BoolExpr>(varOf(variable1), varOf(variable2));
                return(new Pair <MSOFormula <BoolExpr>, List <BoolExpr> >(phi, new List <BoolExpr>()));
            }
            }
            return(null);
        }
Example #13
0
        private Variable ConvertUnion(MonaExpr set1, MonaExpr set2, MapStack<string, MonaParam> locals, out MSOFormula<BDD> pred)
        {
            MSOFormula<BDD> psi1;
            var X1 = ConvertTerm2(set1, locals, out psi1);
            MSOFormula<BDD> psi2;
            var X2 = ConvertTerm2(set2, locals, out psi2);

            var X = MkNewVar2();
            var x = MkNewVar1();
            MSOFormula<BDD> union = new MSOForall<BDD>(x,
                                     new MSOEquiv<BDD>(new MSOIn<BDD>(x, X),
                                                     new MSOOr<BDD>(new MSOIn<BDD>(x, X1),
                                                                    new MSOIn<BDD>(x, X2))));
            pred = AddConstraints(psi2, X2, psi1, X1, union);
            return X;
        }
Example #14
0
        private Variable ConvertSet(MonaExpr set, MapStack<string, MonaParam> locals, out MSOFormula<BDD> psi)
        {
            if (set.NrOfSubexprs == 0)
                return ConvertEmptyset(out psi);

            MSOFormula<BDD> disj = null;
            Variable x = MkNewVar1();
            Variable X = MkNewVar2();
            for (int i=0; i < set.NrOfSubexprs; i++)
            {
                MonaExpr t = set[i];
                if (t.symbol.Kind == Tokens.RANGE)
                {
                    MSOFormula<BDD> from_psi;
                    Variable from = ConvertTerm1(t[0], locals, out from_psi);
                    MSOFormula<BDD> to_psi;
                    Variable to = ConvertTerm1(t[1], locals, out to_psi);

                    MSOFormula<BDD> range = AddConstraints(from_psi, from, to_psi, to,
                        new MSOAnd<BDD>(new MSOLe<BDD>(from, x), new MSOLe<BDD>(x, to)));

                    if (disj == null)
                        disj = range;
                    else
                        disj = new MSOOr<BDD>(disj, range);
                }
                else
                {
                    MSOFormula<BDD> y_psi;
                    Variable y = ConvertTerm1(t, locals, out y_psi);

                    MSOFormula<BDD> elem = new MSOEq<BDD>(x, y);
                    if (y_psi != null)
                        elem = new MSOExists<BDD>(y, new MSOAnd<BDD>(y_psi, elem));

                    if (disj == null)
                        disj = elem;
                    else
                        disj = new MSOOr<BDD>(disj, elem);
                }
            }

            var pred = new MSOForall<BDD>(x, new MSOEquiv<BDD>(new MSOIn<BDD>(x, X), disj));
            psi = pred;
            return X;
        }
Example #15
0
        private MSOFormula<BDD> ConvertFormula(MonaExpr expr, MapStack<string,MonaParam> locals)
        {
            switch (expr.symbol.Kind)
            {
                case Tokens.TRUE:
                    return new MSOTrue<BDD>();
                case Tokens.FALSE:
                    return new MSOFalse<BDD>();
                case Tokens.NOT:
                    return new MSONot<BDD>(ConvertFormula(expr[0], locals));
                case Tokens.AND:
                    return new MSOAnd<BDD>(ConvertFormula(expr[0], locals), ConvertFormula(expr[1], locals));
                case Tokens.OR:
                    return new MSOOr<BDD>(ConvertFormula(expr[0], locals), ConvertFormula(expr[1], locals));
                case Tokens.IMPLIES:
                    return new MSOImplies<BDD>(ConvertFormula(expr[0], locals), ConvertFormula(expr[1], locals));
                case Tokens.EQUIV:
                    return new MSOEquiv<BDD>(ConvertFormula(expr[0], locals), ConvertFormula(expr[1], locals));
                case Tokens.EQ:
                    return ConvertEq(expr[0], expr[1], locals);
                case Tokens.NE:
                    return new MSONot<BDD>(ConvertEq(expr[0], expr[1], locals));
                case Tokens.LT:
                    return ConvertLt(expr[0], expr[1], locals);
                case Tokens.GT:
                    return ConvertLt(expr[1], expr[0], locals);
                case Tokens.LE:
                    return ConvertLe(expr[0], expr[1], locals);
                case Tokens.GE:
                    return ConvertLe(expr[1], expr[0], locals);
                case Tokens.SUBSET:
                    return ConvertSubset(expr[1], expr[0], locals);
                case Tokens.IN:
                    return ConvertIn(expr[0], expr[1], locals);
                case Tokens.NOTIN:
                    return new MSONot<BDD>(ConvertIn(expr[0], expr[1], locals));
                case Tokens.EMPTY:
                    return ConvertIsEmpty(expr[0], locals);
                case Tokens.EX1:
                case Tokens.EX2:
                    {
                        MonaQFormula phi = (MonaQFormula)expr;
                        if ((phi.universes != null && phi.universes.Count > 1) ||
                            phi.vars.Exists(vw => vw.where != null))
                            throw new NotImplementedException(expr.ToString());
                        MSOFormula<BDD> psi = ConvertFormula(phi.formula, locals.Push(phi.varmap));
                        foreach (var vw in phi.vars)
                            psi = new MSOExists<BDD>(new Variable(vw.name, phi.varmap[vw.name].type == MonaExprType.INT), psi);
                        return psi;
                    }
                case Tokens.ALL1:
                case Tokens.ALL2:
                    {
                        MonaQFormula phi = (MonaQFormula)expr;
                        if ((phi.universes != null && phi.universes.Count > 1) ||
                            phi.vars.Exists(vw => vw.where != null))
                            throw new NotImplementedException(expr.ToString());
                        MSOFormula<BDD> psi = ConvertFormula(phi.formula, locals.Push(phi.varmap));
                        foreach (var vw in phi.vars)
                            psi = new MSOForall<BDD>(new Variable(vw.name, phi.varmap[vw.name].type == MonaExprType.INT), psi);
                        return psi;
                    }
                case Tokens.NAME:
                    {
                        var name = expr as MonaName;
                        if (name != null)
                        {
                            //must be a nullary predicate application (var0 is not supported)
                            var tmpPredApp = new MonaPredApp(name.symbol, Cons<MonaExpr>.Empty);
                            return ConvertPredApp(tmpPredApp, locals);
                        }

                        var predApp = expr as MonaPredApp;
                        if (predApp != null)
                        {
                            return ConvertPredApp(predApp, locals);
                        }

                        throw new NotImplementedException(expr.ToString());
                    }
                default:
                    throw new NotImplementedException(expr.ToString());
            }
        }