Inheritance: Z3Object
Esempio n. 1
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        private bool Solve_Brtrue(CflowStack stack)
        {
            var val1 = stack.Pop();

            if (val1 is BitVecExpr)
            {
                FinalExpr = ctx.MkEq(val1 as BitVecExpr, ctx.MkBV(0, 32));

                if ((val1 as BitVecExpr).Simplify().IsNumeral)
                {
                    Microsoft.Z3.Solver s = ctx.MkSolver();
                    s.Assert(FinalExpr);
                    if (s.Check() == Status.UNSATISFIABLE)
                    {
                        this.PopPushedArgs(1);

                        block.ReplaceBccWithBranch(true);

                        return(true);
                    }
                    else
                    {
                        this.PopPushedArgs(1);

                        block.ReplaceBccWithBranch(false);

                        return(true);
                    }
                }
            }

            return(false);
        }
Esempio n. 2
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        /// <summary>
        /// Try to find a configuration with low weight.
        /// </summary>
        /// <param name="sortedRanking">A list of binary options and their weight ordered by their weight.</param>
        /// <param name="cache">A sat solver cache instance that already contains the constraints of
        /// size and disallowed features.</param>
        /// <param name="vm">The variability model of the given system.</param>
        /// <returns>A configuration that has a small weight.</returns>
        public static List <BinaryOption> getSmallWeightConfig(List <KeyValuePair <List <BinaryOption>, int> > sortedRanking,
                                                               Z3Cache cache, VariabilityModel vm)
        {
            KeyValuePair <List <BinaryOption>, int>[] ranking = sortedRanking.ToArray();
            Microsoft.Z3.Solver solver    = cache.GetSolver();
            Context             z3Context = cache.GetContext();

            for (int i = 0; i < ranking.Length; i++)
            {
                List <BinaryOption> candidates = ranking[i].Key;
                solver.Push();
                solver.Assert(forceFeatures(candidates, z3Context, cache.GetOptionToTermMapping()));

                if (solver.Check() == Status.SATISFIABLE)
                {
                    Model model = solver.Model;
                    solver.Pop();
                    return(Z3VariantGenerator.RetrieveConfiguration(cache.GetVariables(), model,
                                                                    cache.GetTermToOptionMapping()));
                }
                solver.Pop();
            }

            return(null);
        }
Esempio n. 3
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        private bool CheckBranch(Microsoft.Z3.Solver s1, Microsoft.Z3.Solver s2)
        {
            if (s1.Check() == Status.UNSATISFIABLE)
            {
                // opaque predicate not taken
                this.PopPushedArgs(2);

                block.ReplaceBccWithBranch(false);

                return(true);
            }
            else if (s2.Check() == Status.UNSATISFIABLE)
            {
                // opaque predicate taken
                this.PopPushedArgs(2);

                block.ReplaceBccWithBranch(true);

                return(true);
            }
            else
            {
                return(false);
            }
        }
Esempio n. 4
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        protected override void AddControllerOverflow(Microsoft.Z3.Context ctx, Microsoft.Z3.Solver solver, string varName)
        {
            FixedPointNumber var  = discreteVariablesByName[varName];
            FixedPointNumber expr = assigns[varName];

            solver.Assert(expr.overflow);
        }
Esempio n. 5
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 /// <summary>
 /// This constructor creates a new <see cref="ConstraintSystemCache"/> with the given parameters.
 /// </summary>
 /// <param name="context">The <see cref="Context"/> to store.</param>
 /// <param name="solver">The <see cref="Microsoft.Z3.Solver"/>-object to use.</param>
 /// <param name="variables">The variables used in the <see cref="Context"/>.</param>
 /// <param name="optionToTerm">The mapping from <see cref="BinaryOption"/> to <see cref="BoolExpr"/>.</param>
 /// <param name="termToOption">The mapping from <see cref="BoolExpr"/> to <see cref="BinaryOption"/>.</param>
 public Z3Cache(Context context, Microsoft.Z3.Solver solver, List <BoolExpr> variables, Dictionary <BinaryOption, BoolExpr> optionToTerm, Dictionary <BoolExpr, BinaryOption> termToOption)
 {
     this._context      = context;
     this._solver       = solver;
     this._variables    = variables;
     this._optionToTerm = optionToTerm;
     this._termToOption = termToOption;
 }
Esempio n. 6
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        /// <summary>
        /// Add controller code for output/memory variable 'var'
        /// </summary>
        /// <param name="ctx"></param>
        /// <param name="solver"></param>
        /// <param name="variable"></param>
        protected override void AddController(Microsoft.Z3.Context ctx, Microsoft.Z3.Solver solver, string varName)
        {
            FixedPointNumber     var    = discreteVariablesByName[varName];
            FixedPointNumber     expr   = assigns[varName];
            BoolExprWithOverflow assert = ctx.MkFPEq(var, expr);

            solver.Assert(assert.bv);
        }
Esempio n. 7
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        public bool SolveBranchAssisted(Context ctx, BoolExpr expr)
        {
            Instruction instr = block.LastInstr.Instruction;

            if (instr.OpCode.Code == Code.Brfalse || instr.OpCode.Code == Code.Brfalse_S)
            {
                Microsoft.Z3.Solver s = ctx.MkSolver();
                s.Assert(expr);
                if (s.Check() == Status.SATISFIABLE)
                {
                    this.PopPushedArgs(1);

                    block.ReplaceBccWithBranch(true);

                    return(true);
                }
                else
                {
                    this.PopPushedArgs(1);

                    block.ReplaceBccWithBranch(false);

                    return(true);
                }
            }
            else if (instr.OpCode.Code == Code.Brtrue || instr.OpCode.Code == Code.Brtrue_S)
            {
                Microsoft.Z3.Solver s = ctx.MkSolver();
                s.Assert(expr);
                if (s.Check() == Status.UNSATISFIABLE)
                {
                    this.PopPushedArgs(1);

                    block.ReplaceBccWithBranch(true);

                    return(true);
                }
                else
                {
                    this.PopPushedArgs(1);

                    block.ReplaceBccWithBranch(false);

                    return(true);
                }
            }
            else
            {
                Microsoft.Z3.Solver s1 = ctx.MkSolver();
                Microsoft.Z3.Solver s2 = ctx.MkSolver();

                s1.Add(expr);
                s2.Add(ctx.MkNot(expr));

                return(this.CheckBranch(s1, s2));
            }
        }
Esempio n. 8
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        // Constructor
        public SolverContext(Modelling.BLOs.Model model)
        {
            // Create an empty z3 context
            Dictionary <string, string> configSettings = new Dictionary <string, string>();

            configSettings["MODEL"]        = "true";
            configSettings["MACRO_FINDER"] = "true";
            _context           = new Context(configSettings);
            _context.PrintMode = Z3_ast_print_mode.Z3_PRINT_SMTLIB2_COMPLIANT;


            // Setup the z3 context and solver
            _solver = _context.MkSolver();

            // Setup custom conversion method BoolToInt (boolean -> integer)
            FuncDecl boolToInt  = _context.MkFuncDecl("BoolToInt", _context.MkBoolSort(), _context.MkIntSort());
            Expr     i          = _context.MkConst("i", _context.MkBoolSort());
            Expr     fDef       = _context.MkITE(_context.MkEq(i, _context.MkTrue()), _context.MkInt(1), _context.MkInt(0)); // x == true => 1, x == false => 0
            Expr     fStatement = _context.MkForall(new Expr[] { i }, _context.MkEq(_context.MkApp(boolToInt, i), fDef));

            _solver.Assert(fStatement as BoolExpr);
            _functions.Add("BoolToInt", new Function(boolToInt));

            // Create the static part (constants and constraints)
            model.Features.ForEach(feature =>
            {
                string featureSID = GenerateFeatureSID(feature.Identifier);
                AddFeature_Constant(feature.Identifier);
                feature.Attributes.ForEach(attribute => AddAttribute_Constant(attribute.Identifier, feature.Identifier, attribute.AttributeDataType));
            });
            model.Relations.ForEach(relation =>
            {
                AddRelation_Constraint(relation.RelationType, relation.ParentFeature.Identifier, relation.ChildFeature.Identifier);
            });
            model.GroupRelations.ForEach(groupRelation =>
            {
                string[] childFeatureIDs = groupRelation.ChildFeatures.Select(feature => feature.Identifier).ToArray();
                AddGroupRelation_Constraint(groupRelation.GroupRelationType, groupRelation.ParentFeature.Identifier, childFeatureIDs,
                                            groupRelation.UpperBound ?? default(int), groupRelation.LowerBound ?? default(int));
            });
            model.CompositionRules.ForEach(compRule =>
            {
                AddCompositionRule_Constraint(compRule.CompositionRuleType, compRule.FirstFeature.Identifier, compRule.SecondFeature.Identifier);
            });

            // Create initial point
            _solver.Push();
        }
        /// <summary>
        /// Generates all valid combinations of all configuration options in the given model.
        /// </summary>
        /// <param name="vm">the variability model containing the binary options and their constraints</param>
        /// <param name="optionsToConsider">the options that should be considered. All other options are ignored</param>
        /// <returns>Returns a list of <see cref="Configuration"/></returns>
        public List <Configuration> GenerateAllVariants(VariabilityModel vm, List <ConfigurationOption> optionsToConsider)
        {
            List <Configuration> allConfigurations = new List <Configuration>();
            List <BoolExpr>      variables;
            Dictionary <BoolExpr, BinaryOption> termToOption;
            Dictionary <BinaryOption, BoolExpr> optionToTerm;
            Tuple <Context, BoolExpr>           z3Tuple = Z3Solver.GetInitializedBooleanSolverSystem(out variables, out optionToTerm, out termToOption, vm, this.henard);
            Context  z3Context     = z3Tuple.Item1;
            BoolExpr z3Constraints = z3Tuple.Item2;

            Microsoft.Z3.Solver solver = z3Context.MkSolver();

            // TODO: The following line works for z3Solver version >= 4.6.0
            //solver.Set (RANDOM_SEED, z3RandomSeed);
            Params solverParameter = z3Context.MkParams();

            solverParameter.Add(RANDOM_SEED, z3RandomSeed);
            solver.Parameters = solverParameter;

            solver.Assert(z3Constraints);

            while (solver.Check() == Status.SATISFIABLE)
            {
                Model model = solver.Model;

                List <BinaryOption> binOpts = RetrieveConfiguration(variables, model, termToOption, optionsToConsider);

                Configuration c = new Configuration(binOpts);
                // Check if the non-boolean constraints are satisfied
                if (vm.configurationIsValid(c) && !VariantGenerator.IsInConfigurationFile(c, allConfigurations) && VariantGenerator.FulfillsMixedConstraints(c, vm))
                {
                    allConfigurations.Add(c);
                }
                solver.Push();
                solver.Assert(Z3Solver.NegateExpr(z3Context, Z3Solver.ConvertConfiguration(z3Context, binOpts, optionToTerm, vm)));
            }

            solver.Push();
            solver.Pop(Convert.ToUInt32(allConfigurations.Count() + 1));
            return(allConfigurations);
        }
Esempio n. 10
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        public bool checkConfigurationSAT(List <BinaryOption> config, VariabilityModel vm, bool partialConfiguration)
        {
            List <BoolExpr> variables;
            Dictionary <BoolExpr, BinaryOption> termToOption;
            Dictionary <BinaryOption, BoolExpr> optionToTerm;
            Tuple <Context, BoolExpr>           z3Tuple = Z3Solver.GetInitializedBooleanSolverSystem(out variables, out optionToTerm, out termToOption, vm, false);
            Context  z3Context     = z3Tuple.Item1;
            BoolExpr z3Constraints = z3Tuple.Item2;

            List <BoolExpr> constraints = new List <BoolExpr>();

            Microsoft.Z3.Solver solver = z3Context.MkSolver();
            solver.Assert(z3Constraints);
            solver.Assert(Z3Solver.ConvertConfiguration(z3Context, config, optionToTerm, vm, partialConfiguration));

            if (solver.Check() == Status.SATISFIABLE)
            {
                return(true);
            }
            return(false);
        }
        public bool checkConfigurationSAT(Configuration c, VariabilityModel vm, bool partialConfiguration = false)
        {
            List <Expr> variables;
            Dictionary <Expr, ConfigurationOption> termToOption;
            Dictionary <ConfigurationOption, Expr> optionToTerm;
            Tuple <Context, BoolExpr> z3Tuple = Z3Solver.GetInitializedSolverSystem(out variables, out optionToTerm, out termToOption, vm);
            Context  z3Context     = z3Tuple.Item1;
            BoolExpr z3Constraints = z3Tuple.Item2;

            List <Expr> constraints = new List <Expr>();

            Microsoft.Z3.Solver solver = z3Context.MkSolver();
            solver.Assert(z3Constraints);

            solver.Assert(Z3Solver.ConvertConfiguration(z3Context, c.getBinaryOptions(BinaryOption.BinaryValue.Selected), optionToTerm, vm, partialConfiguration, c.NumericOptions));

            if (solver.Check() == Status.SATISFIABLE)
            {
                return(true);
            }
            return(false);
        }
Esempio n. 12
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        /// <summary>
        /// Generates all valid combinations of all configuration options in the given model.
        /// </summary>
        /// <param name="vm">the variability model containing the binary options and their constraints</param>
        /// <param name="optionsToConsider">the options that should be considered. All other options are ignored</param>
        /// <returns>Returns a list of <see cref="Configuration"/></returns>
        public List <Configuration> GenerateAllVariants(VariabilityModel vm, List <ConfigurationOption> optionsToConsider)
        {
            List <Configuration> allConfigurations = new List <Configuration>();
            List <Expr>          variables;
            Dictionary <Expr, ConfigurationOption> termToOption;
            Dictionary <ConfigurationOption, Expr> optionToTerm;
            Tuple <Context, BoolExpr> z3Tuple = Z3Solver.GetInitializedSolverSystem(out variables, out optionToTerm, out termToOption, vm);
            Context  z3Context     = z3Tuple.Item1;
            BoolExpr z3Constraints = z3Tuple.Item2;

            Microsoft.Z3.Solver solver = z3Context.MkSolver();

            solver.Set(RANDOM_SEED, z3RandomSeed);

            solver.Assert(z3Constraints);

            while (solver.Check() == Status.SATISFIABLE)
            {
                Model model = solver.Model;

                Tuple <List <BinaryOption>, Dictionary <NumericOption, double> > confOpts = RetrieveConfiguration(variables, model, termToOption, optionsToConsider);

                Configuration c = new Configuration(confOpts.Item1, confOpts.Item2);
                // Check if the non-boolean constraints are satisfied
                bool configIsValid             = vm.configurationIsValid(c);
                bool isInConfigurationFile     = !VariantGenerator.IsInConfigurationFile(c, allConfigurations);
                bool fulfillsMixedConstraintrs = VariantGenerator.FulfillsMixedConstraints(c, vm);
                if (configIsValid && isInConfigurationFile && fulfillsMixedConstraintrs)
                {
                    allConfigurations.Add(c);
                }
                solver.Push();
                solver.Assert(Z3Solver.NegateExpr(z3Context, Z3Solver.ConvertConfiguration(z3Context, confOpts.Item1, optionToTerm, vm, numericValues: confOpts.Item2)));
            }

            solver.Push();
            solver.Pop(Convert.ToUInt32(allConfigurations.Count() + 1));
            return(allConfigurations);
        }
Esempio n. 13
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        private bool Solve_Bne_Un(CflowStack stack)
        {
            var val2 = stack.Pop();
            var val1 = stack.Pop();

            if (val1 is BitVecExpr && val2 is BitVecExpr)
            {
                FinalExpr = ctx.MkNot(ctx.MkEq(val1 as BitVecExpr, val2 as BitVecExpr));

                if ((val1 as BitVecExpr).Simplify().IsNumeral&& (val2 as BitVecExpr).Simplify().IsNumeral)
                {
                    Microsoft.Z3.Solver s1 = ctx.MkSolver();
                    Microsoft.Z3.Solver s2 = ctx.MkSolver();

                    s1.Add(FinalExpr);
                    s2.Add(ctx.MkNot(FinalExpr));

                    return(this.CheckBranch(s1, s2));
                }
            }

            return(false);
        }
        /// <summary>
        /// Generates up to n solutions of the given variability model.
        /// Note that this method could also generate less than n solutions if the variability model does not contain sufficient solutions.
        /// Moreover, in the case that <code>n &lt; 0</code>, all solutions are generated.
        /// </summary>
        /// <param name="vm">The <see cref="VariabilityModel"/> to obtain solutions for.</param>
        /// <param name="n">The number of solutions to obtain.</param>
        /// <returns>A list of configurations, in which a configuration is a list of SELECTED binary options.</returns>
        public List <List <BinaryOption> > GenerateUpToNFast(VariabilityModel vm, int n)
        {
            // Use the random seed to produce new random seeds
            Random random = new Random(Convert.ToInt32(z3RandomSeed));

            List <BoolExpr> variables;
            Dictionary <BoolExpr, BinaryOption> termToOption;
            Dictionary <BinaryOption, BoolExpr> optionToTerm;
            Tuple <Context, BoolExpr>           z3Tuple = Z3Solver.GetInitializedBooleanSolverSystem(out variables, out optionToTerm, out termToOption, vm, this.henard, random.Next());
            Context         z3Context              = z3Tuple.Item1;
            BoolExpr        z3Constraints          = z3Tuple.Item2;
            List <BoolExpr> excludedConfigurations = new List <BoolExpr>();
            List <BoolExpr> constraints            = Z3Solver.lastConstraints;

            List <List <BinaryOption> > configurations = new List <List <BinaryOption> >();

            Microsoft.Z3.Solver s = z3Context.MkSolver();

            // TODO: The following line works for z3Solver version >= 4.6.0
            //solver.Set (RANDOM_SEED, z3RandomSeed);
            Params solverParameter = z3Context.MkParams();

            if (henard)
            {
                solverParameter.Add(RANDOM_SEED, NextUInt(random));
            }
            else
            {
                solverParameter.Add(RANDOM_SEED, z3RandomSeed);
            }
            s.Parameters = solverParameter;

            s.Assert(z3Constraints);
            s.Push();

            Model model = null;

            while (s.Check() == Status.SATISFIABLE && (configurations.Count < n || n < 0))
            {
                model = s.Model;

                List <BinaryOption> config = RetrieveConfiguration(variables, model, termToOption);

                configurations.Add(config);

                if (henard)
                {
                    BoolExpr newConstraint = Z3Solver.NegateExpr(z3Context, Z3Solver.ConvertConfiguration(z3Context, config, optionToTerm, vm));

                    excludedConfigurations.Add(newConstraint);

                    Dictionary <BoolExpr, BinaryOption> oldTermToOption = termToOption;

                    // Now, initialize a new one for the next configuration
                    z3Tuple       = Z3Solver.GetInitializedBooleanSolverSystem(out variables, out optionToTerm, out termToOption, vm, this.henard, random.Next());
                    z3Context     = z3Tuple.Item1;
                    z3Constraints = z3Tuple.Item2;

                    s = z3Context.MkSolver();

                    //s.Set (RANDOM_SEED, NextUInt (random));
                    solverParameter = z3Context.MkParams();

                    solverParameter.Add(RANDOM_SEED, NextUInt(random));
                    s.Parameters = solverParameter;

                    constraints = Z3Solver.lastConstraints;

                    excludedConfigurations = Z3Solver.ConvertConstraintsToNewContext(oldTermToOption, optionToTerm, excludedConfigurations, z3Context);

                    constraints.AddRange(excludedConfigurations);

                    s.Assert(z3Context.MkAnd(Z3Solver.Shuffle(constraints, new Random(random.Next()))));

                    s.Push();
                }
                else
                {
                    s.Add(Z3Solver.NegateExpr(z3Context, Z3Solver.ConvertConfiguration(z3Context, config, optionToTerm, vm)));
                }
            }

            return(configurations);
        }
        /// <summary>
        /// This method searches for a corresponding methods in the dynamically loaded assemblies and calls it if found. It prefers due to performance reasons the Microsoft Solver Foundation implementation.
        /// </summary>
        /// <param name="config">The (partial) configuration which needs to be expaned to be valid.</param>
        /// <param name="vm">Variability model containing all options and their constraints.</param>
        /// <param name="minimize">If true, we search for the smallest (in terms of selected options) valid configuration. If false, we search for the largest one.</param>
        /// <param name="unWantedOptions">Binary options that we do not want to become part of the configuration. Might be part if there is no other valid configuration without them.</param>
        /// <returns>The valid configuration (or null if there is none) that satisfies the VM and the goal.</returns>
        public List <BinaryOption> MinimizeConfig(List <BinaryOption> config, VariabilityModel vm, bool minimize, List <BinaryOption> unWantedOptions)
        {
            List <BoolExpr> variables;
            Dictionary <BoolExpr, BinaryOption> termToOption;
            Dictionary <BinaryOption, BoolExpr> optionToTerm;
            Tuple <Context, BoolExpr>           z3Tuple = Z3Solver.GetInitializedBooleanSolverSystem(out variables, out optionToTerm, out termToOption, vm, this.henard);
            Context  z3Context     = z3Tuple.Item1;
            BoolExpr z3Constraints = z3Tuple.Item2;

            List <BoolExpr> constraints = new List <BoolExpr>();

            constraints.Add(z3Constraints);

            //Feature Selection
            foreach (BinaryOption binOpt in config)
            {
                BoolExpr term = optionToTerm[binOpt];
                constraints.Add(term);
            }

            Model model = null;

            if (minimize == true)
            {
                //Defining Goals
                ArithExpr[] optimizationGoals = new ArithExpr[variables.Count];

                for (int r = 0; r < variables.Count; r++)
                {
                    BinaryOption currOption      = termToOption[variables[r]];
                    ArithExpr    numericVariable = z3Context.MkIntConst(currOption.Name);

                    int weight = 1;
                    if (unWantedOptions != null && (unWantedOptions.Contains(termToOption[variables[r]]) && !config.Contains(termToOption[variables[r]])))
                    {
                        weight = 1000;
                    }

                    constraints.Add(z3Context.MkEq(numericVariable, z3Context.MkITE(variables[r], z3Context.MkInt(weight), z3Context.MkInt(0))));

                    optimizationGoals[r] = numericVariable;
                }
                // For minimization, we need the class 'Optimize'
                Optimize optimizer = z3Context.MkOptimize();
                optimizer.Assert(constraints.ToArray());
                optimizer.MkMinimize(z3Context.MkAdd(optimizationGoals));

                if (optimizer.Check() != Status.SATISFIABLE)
                {
                    return(new List <BinaryOption>());
                }
                else
                {
                    model = optimizer.Model;
                }
            }
            else
            {
                // Return the first configuration returned by the solver
                Microsoft.Z3.Solver solver = z3Context.MkSolver();

                // TODO: The following line works for z3Solver version >= 4.6.0
                //solver.Set (RANDOM_SEED, z3RandomSeed);
                Params solverParameter = z3Context.MkParams();
                solverParameter.Add(RANDOM_SEED, z3RandomSeed);
                solver.Parameters = solverParameter;

                solver.Assert(constraints.ToArray());

                if (solver.Check() != Status.SATISFIABLE)
                {
                    return(new List <BinaryOption>());
                }
                else
                {
                    model = solver.Model;
                }
            }


            List <BinaryOption> result = RetrieveConfiguration(variables, model, termToOption);

            return(result);
        }
 public void ToSMTConstraints(Context z3Context, Solver z3Solver, int alphabetSize, VariableCache variableGenerator)
 {
     this.constraintVariable = variableGenerator.GetCharChoiceVariable(this.originalValue);
     ArithExpr myVariable = z3Context.MkIntConst(this.constraintVariable);
     z3Solver.Assert(z3Context.MkLe(z3Context.MkInt(0), myVariable));
     z3Solver.Assert(z3Context.MkLe(myVariable, z3Context.MkInt(alphabetSize - 1)));
 }
        public void ToSMTConstraints(Context z3Context, Solver z3Solver, int alphabetSize, VariableCache variableGenerator)
        {
            this.constraintVariable = variableGenerator.GetIntegerChoiceVariable(this.originalValue);
            ArithExpr myVariable = z3Context.MkIntConst(this.constraintVariable);
            // For now, just concretize in the range [floor(origVal / 2), ceil(origVal * 1.5)]
            z3Solver.Assert(z3Context.MkLe(z3Context.MkInt((int)(this.originalValue * 0.5)), myVariable));
            z3Solver.Assert(z3Context.MkLe(myVariable, z3Context.MkInt((int)(this.originalValue * 1.5))));

            if (this.includeZero == false)
            {
                z3Solver.Assert(z3Context.MkNot(z3Context.MkEq(z3Context.MkInt(0), myVariable)));
            }
        }
 private static void GenerateConstraints(CPDLPred choicePred, HashSet<char> alphabet, VariableCache.ConstraintMode constraintMode, Context z3Context, Solver z3Solver)
 {
     VariableCache variableGenerator = VariableCache.Create(constraintMode);
     choicePred.ToSMTConstraints(z3Context, z3Solver, alphabet.Count, variableGenerator);
     variableGenerator.GenerateAdditionalConstraints(z3Context, z3Solver);
 }
Esempio n. 19
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 /// <summary>
 /// Import model converter from other solver.
 /// </summary>
 public void ImportModelConverter(Solver src)
 {
     Native.Z3_solver_import_model_converter(Context.nCtx, src.NativeObject, NativeObject);
 }
 public override void ToSMTConstraints(Context z3Context, Solver z3Solver, int alphabetSize, VariableCache variableGenerator)
 {
     // Take a constraint variable just for good measure
     this.constraintVariable = variableGenerator.GetFreshVariableName();
     ArithExpr myVariable = z3Context.MkIntConst(this.constraintVariable);
     z3Solver.Assert(z3Context.MkEq(myVariable, z3Context.MkInt(0)));
 }
 public abstract void GenerateVariableConstraints(Context z3Context, Solver z3Solver);
 public void ToSMTConstraints(Context z3Context, Solver z3Solver, int alphabetSize, VariableCache variableGenerator)
 {
     this.constraintVariable = variableGenerator.GetStringChoiceVariable(this.originalValue);
     ArithExpr myVariable = z3Context.MkIntConst(this.constraintVariable);
     z3Solver.Assert(z3Context.MkLe(z3Context.MkInt(0), myVariable));
     /* We have |s| * |\Sigma| options for concretizing this string
      * Thus, since we are 0-based: originalValue.Length * alphabet - 1 */
     z3Solver.Assert(z3Context.MkLe(myVariable, z3Context.MkInt(this.originalValue.Length * alphabetSize - 1)));
 }
 public abstract void ToSMTConstraints(Context z3Context, Solver z3Solver, int alphabetSize, VariableCache variableGenerator);
 private static void ExcludeLastModel(IEnumerable<string> choiceVariables, Context z3Context, Solver z3Solver)
 {
     Model lastModel = z3Solver.Model;
     BoolExpr characteristicFormula = CreateCharacteristicFormula(choiceVariables, z3Context, lastModel);
     z3Solver.Assert(z3Context.MkNot(characteristicFormula));
 }
Esempio n. 25
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 internal Solver(Context context, Microsoft.Z3.Solver z3solver)
 {
     this.context = context;
     this.solver  = z3solver;
 }
 public override void GenerateVariableConstraints(Context z3Context, Solver z3Solver)
 {
     // Since we do not need any constraints, just do nothing. Basically a null-object
     return;
 }
Esempio n. 27
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        /// <summary>
        /// Demonstrate how to use <code>Push</code>and <code>Pop</code>to
        /// control the size of models.
        /// </summary>
        /// <remarks>Note: this test is specialized to 32-bit bitvectors.</remarks>
        public static void CheckSmall(Context ctx, Solver solver, BitVecExpr[] to_minimize)
        {
            Sort bv32 = ctx.MkBitVecSort(32);

            int num_Exprs = to_minimize.Length;
            UInt32[] upper = new UInt32[num_Exprs];
            UInt32[] lower = new UInt32[num_Exprs];
            BitVecExpr[] values = new BitVecExpr[num_Exprs];
            for (int i = 0; i < upper.Length; ++i)
            {
                upper[i] = UInt32.MaxValue;
                lower[i] = 0;
            }
            bool some_work = true;
            int last_index = -1;
            UInt32 last_upper = 0;
            while (some_work)
            {
                solver.Push();

                bool check_is_sat = true;
                while (check_is_sat && some_work)
                {
                    // Assert all feasible bounds.
                    for (int i = 0; i < num_Exprs; ++i)
                    {
                        solver.Assert(ctx.MkBVULE(to_minimize[i], ctx.MkBV(upper[i], 32)));
                    }

                    check_is_sat = Status.SATISFIABLE == solver.Check();
                    if (!check_is_sat)
                    {
                        if (last_index != -1)
                        {
                            lower[last_index] = last_upper + 1;
                        }
                        break;
                    }
                    Console.WriteLine("{0}", solver.Model);

                    // narrow the bounds based on the current model.
                    for (int i = 0; i < num_Exprs; ++i)
                    {
                        Expr v = solver.Model.Evaluate(to_minimize[i]);
                        UInt64 ui = ((BitVecNum)v).UInt64;
                        if (ui < upper[i])
                        {
                            upper[i] = (UInt32)ui;
                        }
                        Console.WriteLine("{0} {1} {2}", i, lower[i], upper[i]);
                    }

                    // find a new bound to add
                    some_work = false;
                    last_index = 0;
                    for (int i = 0; i < num_Exprs; ++i)
                    {
                        if (lower[i] < upper[i])
                        {
                            last_upper = (upper[i] + lower[i]) / 2;
                            last_index = i;
                            solver.Assert(ctx.MkBVULE(to_minimize[i], ctx.MkBV(last_upper, 32)));
                            some_work = true;
                            break;
                        }
                    }
                }
                solver.Pop();
            }
        }
 public override void ToSMTConstraints(Context z3Context, Solver z3Solver, int alphabetSize, VariableCache variableGenerator)
 {
     this.constraintVariable = variableGenerator.GetFreshVariableName();
     ArithExpr myVariable = z3Context.MkIntConst(this.constraintVariable);
     z3Solver.Assert(z3Context.MkLe(z3Context.MkInt(0), myVariable));
     z3Solver.Assert(z3Context.MkLe(myVariable, z3Context.MkInt(1)));
 }
 public override void ToSMTConstraints(Context z3Context, Solver z3Solver, int alphabetSize, VariableCache variableGenerator)
 {
     this.constraintVariable = variableGenerator.GetFreshVariableName();
     ArithExpr myVariable = z3Context.MkIntConst(this.constraintVariable);
     z3Solver.Assert(z3Context.MkEq(myVariable, z3Context.MkInt(0)));
     this.originalPosition.ToSMTConstraints(z3Context, z3Solver, alphabetSize, variableGenerator);
     this.originalSet.ToSMTConstraints(z3Context, z3Solver, alphabetSize, variableGenerator);
 }
 public void GenerateAdditionalConstraints(Context z3Context, Solver z3Solver)
 {
     this.constraintGenerator.GenerateVariableConstraints(z3Context, z3Solver);
 }
 public override void GenerateVariableConstraints(Context z3Context, Solver z3Solver)
 {
     this.GenerateInequalityConstraints(this.variableCache.GetIntegerVariables(), z3Context, z3Solver);
     this.GenerateInequalityConstraints(this.variableCache.GetStringVariables(), z3Context, z3Solver);
     this.GenerateInequalityConstraints(this.variableCache.GetCharVariables(), z3Context, z3Solver);
 }
 private void GenerateInequalityConstraints(ICollection<string> vars, Context z3Context, Solver z3Solver)
 {
     List<string> varList = new List<string>(vars);
     for (int i = 0; i < varList.Count; ++i)
     {
         for (int j = i + 1; j < varList.Count; ++j)
         {
             // Assert vars[i] != vars[j]
             z3Solver.Assert(
                 z3Context.MkNot(
                     z3Context.MkEq(
                         z3Context.MkIntConst(varList[i]), 
                         z3Context.MkIntConst(varList[j])
                     )
                 )
             );
         }
     }
 }