| //===- WatchedLiteralsSolver.cpp --------------------------------*- C++ -*-===// |
| // |
| // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. |
| // See https://llvm.org/LICENSE.txt for license information. |
| // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception |
| // |
| //===----------------------------------------------------------------------===// |
| // |
| // This file defines a SAT solver implementation that can be used by dataflow |
| // analyses. |
| // |
| //===----------------------------------------------------------------------===// |
| |
| #include <cassert> |
| #include <cstdint> |
| #include <iterator> |
| #include <queue> |
| #include <vector> |
| |
| #include "clang/Analysis/FlowSensitive/Solver.h" |
| #include "clang/Analysis/FlowSensitive/Value.h" |
| #include "clang/Analysis/FlowSensitive/WatchedLiteralsSolver.h" |
| #include "llvm/ADT/DenseMap.h" |
| #include "llvm/ADT/DenseSet.h" |
| #include "llvm/ADT/STLExtras.h" |
| |
| namespace clang { |
| namespace dataflow { |
| |
| // `WatchedLiteralsSolver` is an implementation of Algorithm D from Knuth's |
| // The Art of Computer Programming Volume 4: Satisfiability, Fascicle 6. It is |
| // based on the backtracking DPLL algorithm [1], keeps references to a single |
| // "watched" literal per clause, and uses a set of "active" variables to perform |
| // unit propagation. |
| // |
| // The solver expects that its input is a boolean formula in conjunctive normal |
| // form that consists of clauses of at least one literal. A literal is either a |
| // boolean variable or its negation. Below we define types, data structures, and |
| // utilities that are used to represent boolean formulas in conjunctive normal |
| // form. |
| // |
| // [1] https://en.wikipedia.org/wiki/DPLL_algorithm |
| |
| /// Boolean variables are represented as positive integers. |
| using Variable = uint32_t; |
| |
| /// A null boolean variable is used as a placeholder in various data structures |
| /// and algorithms. |
| static constexpr Variable NullVar = 0; |
| |
| /// Literals are represented as positive integers. Specifically, for a boolean |
| /// variable `V` that is represented as the positive integer `I`, the positive |
| /// literal `V` is represented as the integer `2*I` and the negative literal |
| /// `!V` is represented as the integer `2*I+1`. |
| using Literal = uint32_t; |
| |
| /// A null literal is used as a placeholder in various data structures and |
| /// algorithms. |
| static constexpr Literal NullLit = 0; |
| |
| /// Returns the positive literal `V`. |
| static constexpr Literal posLit(Variable V) { return 2 * V; } |
| |
| /// Returns the negative literal `!V`. |
| static constexpr Literal negLit(Variable V) { return 2 * V + 1; } |
| |
| /// Returns the negated literal `!L`. |
| static constexpr Literal notLit(Literal L) { return L ^ 1; } |
| |
| /// Returns the variable of `L`. |
| static constexpr Variable var(Literal L) { return L >> 1; } |
| |
| /// Clause identifiers are represented as positive integers. |
| using ClauseID = uint32_t; |
| |
| /// A null clause identifier is used as a placeholder in various data structures |
| /// and algorithms. |
| static constexpr ClauseID NullClause = 0; |
| |
| /// A boolean formula in conjunctive normal form. |
| struct BooleanFormula { |
| /// `LargestVar` is equal to the largest positive integer that represents a |
| /// variable in the formula. |
| const Variable LargestVar; |
| |
| /// Literals of all clauses in the formula. |
| /// |
| /// The element at index 0 stands for the literal in the null clause. It is |
| /// set to 0 and isn't used. Literals of clauses in the formula start from the |
| /// element at index 1. |
| /// |
| /// For example, for the formula `(L1 v L2) ^ (L2 v L3 v L4)` the elements of |
| /// `Clauses` will be `[0, L1, L2, L2, L3, L4]`. |
| std::vector<Literal> Clauses; |
| |
| /// Start indices of clauses of the formula in `Clauses`. |
| /// |
| /// The element at index 0 stands for the start index of the null clause. It |
| /// is set to 0 and isn't used. Start indices of clauses in the formula start |
| /// from the element at index 1. |
| /// |
| /// For example, for the formula `(L1 v L2) ^ (L2 v L3 v L4)` the elements of |
| /// `ClauseStarts` will be `[0, 1, 3]`. Note that the literals of the first |
| /// clause always start at index 1. The start index for the literals of the |
| /// second clause depends on the size of the first clause and so on. |
| std::vector<size_t> ClauseStarts; |
| |
| /// Maps literals (indices of the vector) to clause identifiers (elements of |
| /// the vector) that watch the respective literals. |
| /// |
| /// For a given clause, its watched literal is always its first literal in |
| /// `Clauses`. This invariant is maintained when watched literals change. |
| std::vector<ClauseID> WatchedHead; |
| |
| /// Maps clause identifiers (elements of the vector) to identifiers of other |
| /// clauses that watch the same literals, forming a set of linked lists. |
| /// |
| /// The element at index 0 stands for the identifier of the clause that |
| /// follows the null clause. It is set to 0 and isn't used. Identifiers of |
| /// clauses in the formula start from the element at index 1. |
| std::vector<ClauseID> NextWatched; |
| |
| /// Stores the variable identifier and value location for atomic booleans in |
| /// the formula. |
| llvm::DenseMap<Variable, AtomicBoolValue *> Atomics; |
| |
| explicit BooleanFormula(Variable LargestVar, |
| llvm::DenseMap<Variable, AtomicBoolValue *> Atomics) |
| : LargestVar(LargestVar), Atomics(std::move(Atomics)) { |
| Clauses.push_back(0); |
| ClauseStarts.push_back(0); |
| NextWatched.push_back(0); |
| const size_t NumLiterals = 2 * LargestVar + 1; |
| WatchedHead.resize(NumLiterals + 1, 0); |
| } |
| |
| /// Adds the `L1 v L2 v L3` clause to the formula. If `L2` or `L3` are |
| /// `NullLit` they are respectively omitted from the clause. |
| /// |
| /// Requirements: |
| /// |
| /// `L1` must not be `NullLit`. |
| /// |
| /// All literals in the input that are not `NullLit` must be distinct. |
| void addClause(Literal L1, Literal L2 = NullLit, Literal L3 = NullLit) { |
| // The literals are guaranteed to be distinct from properties of BoolValue |
| // and the construction in `buildBooleanFormula`. |
| assert(L1 != NullLit && L1 != L2 && L1 != L3 && |
| (L2 != L3 || L2 == NullLit)); |
| |
| const ClauseID C = ClauseStarts.size(); |
| const size_t S = Clauses.size(); |
| ClauseStarts.push_back(S); |
| |
| Clauses.push_back(L1); |
| if (L2 != NullLit) |
| Clauses.push_back(L2); |
| if (L3 != NullLit) |
| Clauses.push_back(L3); |
| |
| // Designate the first literal as the "watched" literal of the clause. |
| NextWatched.push_back(WatchedHead[L1]); |
| WatchedHead[L1] = C; |
| } |
| |
| /// Returns the number of literals in clause `C`. |
| size_t clauseSize(ClauseID C) const { |
| return C == ClauseStarts.size() - 1 ? Clauses.size() - ClauseStarts[C] |
| : ClauseStarts[C + 1] - ClauseStarts[C]; |
| } |
| |
| /// Returns the literals of clause `C`. |
| llvm::ArrayRef<Literal> clauseLiterals(ClauseID C) const { |
| return llvm::ArrayRef<Literal>(&Clauses[ClauseStarts[C]], clauseSize(C)); |
| } |
| }; |
| |
| /// Converts the conjunction of `Vals` into a formula in conjunctive normal |
| /// form where each clause has at least one and at most three literals. |
| BooleanFormula buildBooleanFormula(const llvm::DenseSet<BoolValue *> &Vals) { |
| // The general strategy of the algorithm implemented below is to map each |
| // of the sub-values in `Vals` to a unique variable and use these variables in |
| // the resulting CNF expression to avoid exponential blow up. The number of |
| // literals in the resulting formula is guaranteed to be linear in the number |
| // of sub-values in `Vals`. |
| |
| // Map each sub-value in `Vals` to a unique variable. |
| llvm::DenseMap<BoolValue *, Variable> SubValsToVar; |
| // Store variable identifiers and value location of atomic booleans. |
| llvm::DenseMap<Variable, AtomicBoolValue *> Atomics; |
| Variable NextVar = 1; |
| { |
| std::queue<BoolValue *> UnprocessedSubVals; |
| for (BoolValue *Val : Vals) |
| UnprocessedSubVals.push(Val); |
| while (!UnprocessedSubVals.empty()) { |
| Variable Var = NextVar; |
| BoolValue *Val = UnprocessedSubVals.front(); |
| UnprocessedSubVals.pop(); |
| |
| if (!SubValsToVar.try_emplace(Val, Var).second) |
| continue; |
| ++NextVar; |
| |
| // Visit the sub-values of `Val`. |
| switch (Val->getKind()) { |
| case Value::Kind::Conjunction: { |
| auto *C = cast<ConjunctionValue>(Val); |
| UnprocessedSubVals.push(&C->getLeftSubValue()); |
| UnprocessedSubVals.push(&C->getRightSubValue()); |
| break; |
| } |
| case Value::Kind::Disjunction: { |
| auto *D = cast<DisjunctionValue>(Val); |
| UnprocessedSubVals.push(&D->getLeftSubValue()); |
| UnprocessedSubVals.push(&D->getRightSubValue()); |
| break; |
| } |
| case Value::Kind::Negation: { |
| auto *N = cast<NegationValue>(Val); |
| UnprocessedSubVals.push(&N->getSubVal()); |
| break; |
| } |
| case Value::Kind::Implication: { |
| auto *I = cast<ImplicationValue>(Val); |
| UnprocessedSubVals.push(&I->getLeftSubValue()); |
| UnprocessedSubVals.push(&I->getRightSubValue()); |
| break; |
| } |
| case Value::Kind::Biconditional: { |
| auto *B = cast<BiconditionalValue>(Val); |
| UnprocessedSubVals.push(&B->getLeftSubValue()); |
| UnprocessedSubVals.push(&B->getRightSubValue()); |
| break; |
| } |
| case Value::Kind::AtomicBool: { |
| Atomics[Var] = cast<AtomicBoolValue>(Val); |
| break; |
| } |
| default: |
| llvm_unreachable("buildBooleanFormula: unhandled value kind"); |
| } |
| } |
| } |
| |
| auto GetVar = [&SubValsToVar](const BoolValue *Val) { |
| auto ValIt = SubValsToVar.find(Val); |
| assert(ValIt != SubValsToVar.end()); |
| return ValIt->second; |
| }; |
| |
| BooleanFormula Formula(NextVar - 1, std::move(Atomics)); |
| std::vector<bool> ProcessedSubVals(NextVar, false); |
| |
| // Add a conjunct for each variable that represents a top-level conjunction |
| // value in `Vals`. |
| for (BoolValue *Val : Vals) |
| Formula.addClause(posLit(GetVar(Val))); |
| |
| // Add conjuncts that represent the mapping between newly-created variables |
| // and their corresponding sub-values. |
| std::queue<BoolValue *> UnprocessedSubVals; |
| for (BoolValue *Val : Vals) |
| UnprocessedSubVals.push(Val); |
| while (!UnprocessedSubVals.empty()) { |
| const BoolValue *Val = UnprocessedSubVals.front(); |
| UnprocessedSubVals.pop(); |
| const Variable Var = GetVar(Val); |
| |
| if (ProcessedSubVals[Var]) |
| continue; |
| ProcessedSubVals[Var] = true; |
| |
| if (auto *C = dyn_cast<ConjunctionValue>(Val)) { |
| const Variable LeftSubVar = GetVar(&C->getLeftSubValue()); |
| const Variable RightSubVar = GetVar(&C->getRightSubValue()); |
| |
| if (LeftSubVar == RightSubVar) { |
| // `X <=> (A ^ A)` is equivalent to `(!X v A) ^ (X v !A)` which is |
| // already in conjunctive normal form. Below we add each of the |
| // conjuncts of the latter expression to the result. |
| Formula.addClause(negLit(Var), posLit(LeftSubVar)); |
| Formula.addClause(posLit(Var), negLit(LeftSubVar)); |
| |
| // Visit a sub-value of `Val` (pick any, they are identical). |
| UnprocessedSubVals.push(&C->getLeftSubValue()); |
| } else { |
| // `X <=> (A ^ B)` is equivalent to `(!X v A) ^ (!X v B) ^ (X v !A v !B)` |
| // which is already in conjunctive normal form. Below we add each of the |
| // conjuncts of the latter expression to the result. |
| Formula.addClause(negLit(Var), posLit(LeftSubVar)); |
| Formula.addClause(negLit(Var), posLit(RightSubVar)); |
| Formula.addClause(posLit(Var), negLit(LeftSubVar), negLit(RightSubVar)); |
| |
| // Visit the sub-values of `Val`. |
| UnprocessedSubVals.push(&C->getLeftSubValue()); |
| UnprocessedSubVals.push(&C->getRightSubValue()); |
| } |
| } else if (auto *D = dyn_cast<DisjunctionValue>(Val)) { |
| const Variable LeftSubVar = GetVar(&D->getLeftSubValue()); |
| const Variable RightSubVar = GetVar(&D->getRightSubValue()); |
| |
| if (LeftSubVar == RightSubVar) { |
| // `X <=> (A v A)` is equivalent to `(!X v A) ^ (X v !A)` which is |
| // already in conjunctive normal form. Below we add each of the |
| // conjuncts of the latter expression to the result. |
| Formula.addClause(negLit(Var), posLit(LeftSubVar)); |
| Formula.addClause(posLit(Var), negLit(LeftSubVar)); |
| |
| // Visit a sub-value of `Val` (pick any, they are identical). |
| UnprocessedSubVals.push(&D->getLeftSubValue()); |
| } else { |
| // `X <=> (A v B)` is equivalent to `(!X v A v B) ^ (X v !A) ^ (X v !B)` |
| // which is already in conjunctive normal form. Below we add each of the |
| // conjuncts of the latter expression to the result. |
| Formula.addClause(negLit(Var), posLit(LeftSubVar), posLit(RightSubVar)); |
| Formula.addClause(posLit(Var), negLit(LeftSubVar)); |
| Formula.addClause(posLit(Var), negLit(RightSubVar)); |
| |
| // Visit the sub-values of `Val`. |
| UnprocessedSubVals.push(&D->getLeftSubValue()); |
| UnprocessedSubVals.push(&D->getRightSubValue()); |
| } |
| } else if (auto *N = dyn_cast<NegationValue>(Val)) { |
| const Variable SubVar = GetVar(&N->getSubVal()); |
| |
| // `X <=> !Y` is equivalent to `(!X v !Y) ^ (X v Y)` which is already in |
| // conjunctive normal form. Below we add each of the conjuncts of the |
| // latter expression to the result. |
| Formula.addClause(negLit(Var), negLit(SubVar)); |
| Formula.addClause(posLit(Var), posLit(SubVar)); |
| |
| // Visit the sub-values of `Val`. |
| UnprocessedSubVals.push(&N->getSubVal()); |
| } else if (auto *I = dyn_cast<ImplicationValue>(Val)) { |
| const Variable LeftSubVar = GetVar(&I->getLeftSubValue()); |
| const Variable RightSubVar = GetVar(&I->getRightSubValue()); |
| |
| // `X <=> (A => B)` is equivalent to |
| // `(X v A) ^ (X v !B) ^ (!X v !A v B)` which is already in |
| // conjunctive normal form. Below we add each of the conjuncts of the |
| // latter expression to the result. |
| Formula.addClause(posLit(Var), posLit(LeftSubVar)); |
| Formula.addClause(posLit(Var), negLit(RightSubVar)); |
| Formula.addClause(negLit(Var), negLit(LeftSubVar), posLit(RightSubVar)); |
| |
| // Visit the sub-values of `Val`. |
| UnprocessedSubVals.push(&I->getLeftSubValue()); |
| UnprocessedSubVals.push(&I->getRightSubValue()); |
| } else if (auto *B = dyn_cast<BiconditionalValue>(Val)) { |
| const Variable LeftSubVar = GetVar(&B->getLeftSubValue()); |
| const Variable RightSubVar = GetVar(&B->getRightSubValue()); |
| |
| if (LeftSubVar == RightSubVar) { |
| // `X <=> (A <=> A)` is equvalent to `X` which is already in |
| // conjunctive normal form. Below we add each of the conjuncts of the |
| // latter expression to the result. |
| Formula.addClause(posLit(Var)); |
| |
| // No need to visit the sub-values of `Val`. |
| } else { |
| // `X <=> (A <=> B)` is equivalent to |
| // `(X v A v B) ^ (X v !A v !B) ^ (!X v A v !B) ^ (!X v !A v B)` which is |
| // already in conjunctive normal form. Below we add each of the conjuncts |
| // of the latter expression to the result. |
| Formula.addClause(posLit(Var), posLit(LeftSubVar), posLit(RightSubVar)); |
| Formula.addClause(posLit(Var), negLit(LeftSubVar), negLit(RightSubVar)); |
| Formula.addClause(negLit(Var), posLit(LeftSubVar), negLit(RightSubVar)); |
| Formula.addClause(negLit(Var), negLit(LeftSubVar), posLit(RightSubVar)); |
| |
| // Visit the sub-values of `Val`. |
| UnprocessedSubVals.push(&B->getLeftSubValue()); |
| UnprocessedSubVals.push(&B->getRightSubValue()); |
| } |
| } |
| } |
| |
| return Formula; |
| } |
| |
| class WatchedLiteralsSolverImpl { |
| /// A boolean formula in conjunctive normal form that the solver will attempt |
| /// to prove satisfiable. The formula will be modified in the process. |
| BooleanFormula Formula; |
| |
| /// The search for a satisfying assignment of the variables in `Formula` will |
| /// proceed in levels, starting from 1 and going up to `Formula.LargestVar` |
| /// (inclusive). The current level is stored in `Level`. At each level the |
| /// solver will assign a value to an unassigned variable. If this leads to a |
| /// consistent partial assignment, `Level` will be incremented. Otherwise, if |
| /// it results in a conflict, the solver will backtrack by decrementing |
| /// `Level` until it reaches the most recent level where a decision was made. |
| size_t Level = 0; |
| |
| /// Maps levels (indices of the vector) to variables (elements of the vector) |
| /// that are assigned values at the respective levels. |
| /// |
| /// The element at index 0 isn't used. Variables start from the element at |
| /// index 1. |
| std::vector<Variable> LevelVars; |
| |
| /// State of the solver at a particular level. |
| enum class State : uint8_t { |
| /// Indicates that the solver made a decision. |
| Decision = 0, |
| |
| /// Indicates that the solver made a forced move. |
| Forced = 1, |
| }; |
| |
| /// State of the solver at a particular level. It keeps track of previous |
| /// decisions that the solver can refer to when backtracking. |
| /// |
| /// The element at index 0 isn't used. States start from the element at index |
| /// 1. |
| std::vector<State> LevelStates; |
| |
| enum class Assignment : int8_t { |
| Unassigned = -1, |
| AssignedFalse = 0, |
| AssignedTrue = 1 |
| }; |
| |
| /// Maps variables (indices of the vector) to their assignments (elements of |
| /// the vector). |
| /// |
| /// The element at index 0 isn't used. Variable assignments start from the |
| /// element at index 1. |
| std::vector<Assignment> VarAssignments; |
| |
| /// A set of unassigned variables that appear in watched literals in |
| /// `Formula`. The vector is guaranteed to contain unique elements. |
| std::vector<Variable> ActiveVars; |
| |
| public: |
| explicit WatchedLiteralsSolverImpl(const llvm::DenseSet<BoolValue *> &Vals) |
| : Formula(buildBooleanFormula(Vals)), LevelVars(Formula.LargestVar + 1), |
| LevelStates(Formula.LargestVar + 1) { |
| assert(!Vals.empty()); |
| |
| // Initialize the state at the root level to a decision so that in |
| // `reverseForcedMoves` we don't have to check that `Level >= 0` on each |
| // iteration. |
| LevelStates[0] = State::Decision; |
| |
| // Initialize all variables as unassigned. |
| VarAssignments.resize(Formula.LargestVar + 1, Assignment::Unassigned); |
| |
| // Initialize the active variables. |
| for (Variable Var = Formula.LargestVar; Var != NullVar; --Var) { |
| if (isWatched(posLit(Var)) || isWatched(negLit(Var))) |
| ActiveVars.push_back(Var); |
| } |
| } |
| |
| Solver::Result solve() && { |
| size_t I = 0; |
| while (I < ActiveVars.size()) { |
| // Assert that the following invariants hold: |
| // 1. All active variables are unassigned. |
| // 2. All active variables form watched literals. |
| // 3. Unassigned variables that form watched literals are active. |
| // FIXME: Consider replacing these with test cases that fail if the any |
| // of the invariants is broken. That might not be easy due to the |
| // transformations performed by `buildBooleanFormula`. |
| assert(activeVarsAreUnassigned()); |
| assert(activeVarsFormWatchedLiterals()); |
| assert(unassignedVarsFormingWatchedLiteralsAreActive()); |
| |
| const Variable ActiveVar = ActiveVars[I]; |
| |
| // Look for unit clauses that contain the active variable. |
| const bool unitPosLit = watchedByUnitClause(posLit(ActiveVar)); |
| const bool unitNegLit = watchedByUnitClause(negLit(ActiveVar)); |
| if (unitPosLit && unitNegLit) { |
| // We found a conflict! |
| |
| // Backtrack and rewind the `Level` until the most recent non-forced |
| // assignment. |
| reverseForcedMoves(); |
| |
| // If the root level is reached, then all possible assignments lead to |
| // a conflict. |
| if (Level == 0) |
| return Solver::Result::Unsatisfiable(); |
| |
| // Otherwise, take the other branch at the most recent level where a |
| // decision was made. |
| LevelStates[Level] = State::Forced; |
| const Variable Var = LevelVars[Level]; |
| VarAssignments[Var] = VarAssignments[Var] == Assignment::AssignedTrue |
| ? Assignment::AssignedFalse |
| : Assignment::AssignedTrue; |
| |
| updateWatchedLiterals(); |
| } else if (unitPosLit || unitNegLit) { |
| // We found a unit clause! The value of its unassigned variable is |
| // forced. |
| ++Level; |
| |
| LevelVars[Level] = ActiveVar; |
| LevelStates[Level] = State::Forced; |
| VarAssignments[ActiveVar] = |
| unitPosLit ? Assignment::AssignedTrue : Assignment::AssignedFalse; |
| |
| // Remove the variable that was just assigned from the set of active |
| // variables. |
| if (I + 1 < ActiveVars.size()) { |
| // Replace the variable that was just assigned with the last active |
| // variable for efficient removal. |
| ActiveVars[I] = ActiveVars.back(); |
| } else { |
| // This was the last active variable. Repeat the process from the |
| // beginning. |
| I = 0; |
| } |
| ActiveVars.pop_back(); |
| |
| updateWatchedLiterals(); |
| } else if (I + 1 == ActiveVars.size()) { |
| // There are no remaining unit clauses in the formula! Make a decision |
| // for one of the active variables at the current level. |
| ++Level; |
| |
| LevelVars[Level] = ActiveVar; |
| LevelStates[Level] = State::Decision; |
| VarAssignments[ActiveVar] = decideAssignment(ActiveVar); |
| |
| // Remove the variable that was just assigned from the set of active |
| // variables. |
| ActiveVars.pop_back(); |
| |
| updateWatchedLiterals(); |
| |
| // This was the last active variable. Repeat the process from the |
| // beginning. |
| I = 0; |
| } else { |
| ++I; |
| } |
| } |
| return Solver::Result::Satisfiable(buildSolution()); |
| } |
| |
| private: |
| /// Returns a satisfying truth assignment to the atomic values in the boolean |
| /// formula. |
| llvm::DenseMap<AtomicBoolValue *, Solver::Result::Assignment> |
| buildSolution() { |
| llvm::DenseMap<AtomicBoolValue *, Solver::Result::Assignment> Solution; |
| for (auto &Atomic : Formula.Atomics) { |
| // A variable may have a definite true/false assignment, or it may be |
| // unassigned indicating its truth value does not affect the result of |
| // the formula. Unassigned variables are assigned to true as a default. |
| Solution[Atomic.second] = |
| VarAssignments[Atomic.first] == Assignment::AssignedFalse |
| ? Solver::Result::Assignment::AssignedFalse |
| : Solver::Result::Assignment::AssignedTrue; |
| } |
| return Solution; |
| } |
| |
| /// Reverses forced moves until the most recent level where a decision was |
| /// made on the assignment of a variable. |
| void reverseForcedMoves() { |
| for (; LevelStates[Level] == State::Forced; --Level) { |
| const Variable Var = LevelVars[Level]; |
| |
| VarAssignments[Var] = Assignment::Unassigned; |
| |
| // If the variable that we pass through is watched then we add it to the |
| // active variables. |
| if (isWatched(posLit(Var)) || isWatched(negLit(Var))) |
| ActiveVars.push_back(Var); |
| } |
| } |
| |
| /// Updates watched literals that are affected by a variable assignment. |
| void updateWatchedLiterals() { |
| const Variable Var = LevelVars[Level]; |
| |
| // Update the watched literals of clauses that currently watch the literal |
| // that falsifies `Var`. |
| const Literal FalseLit = VarAssignments[Var] == Assignment::AssignedTrue |
| ? negLit(Var) |
| : posLit(Var); |
| ClauseID FalseLitWatcher = Formula.WatchedHead[FalseLit]; |
| Formula.WatchedHead[FalseLit] = NullClause; |
| while (FalseLitWatcher != NullClause) { |
| const ClauseID NextFalseLitWatcher = Formula.NextWatched[FalseLitWatcher]; |
| |
| // Pick the first non-false literal as the new watched literal. |
| const size_t FalseLitWatcherStart = Formula.ClauseStarts[FalseLitWatcher]; |
| size_t NewWatchedLitIdx = FalseLitWatcherStart + 1; |
| while (isCurrentlyFalse(Formula.Clauses[NewWatchedLitIdx])) |
| ++NewWatchedLitIdx; |
| const Literal NewWatchedLit = Formula.Clauses[NewWatchedLitIdx]; |
| const Variable NewWatchedLitVar = var(NewWatchedLit); |
| |
| // Swap the old watched literal for the new one in `FalseLitWatcher` to |
| // maintain the invariant that the watched literal is at the beginning of |
| // the clause. |
| Formula.Clauses[NewWatchedLitIdx] = FalseLit; |
| Formula.Clauses[FalseLitWatcherStart] = NewWatchedLit; |
| |
| // If the new watched literal isn't watched by any other clause and its |
| // variable isn't assigned we need to add it to the active variables. |
| if (!isWatched(NewWatchedLit) && !isWatched(notLit(NewWatchedLit)) && |
| VarAssignments[NewWatchedLitVar] == Assignment::Unassigned) |
| ActiveVars.push_back(NewWatchedLitVar); |
| |
| Formula.NextWatched[FalseLitWatcher] = Formula.WatchedHead[NewWatchedLit]; |
| Formula.WatchedHead[NewWatchedLit] = FalseLitWatcher; |
| |
| // Go to the next clause that watches `FalseLit`. |
| FalseLitWatcher = NextFalseLitWatcher; |
| } |
| } |
| |
| /// Returns true if and only if one of the clauses that watch `Lit` is a unit |
| /// clause. |
| bool watchedByUnitClause(Literal Lit) const { |
| for (ClauseID LitWatcher = Formula.WatchedHead[Lit]; |
| LitWatcher != NullClause; |
| LitWatcher = Formula.NextWatched[LitWatcher]) { |
| llvm::ArrayRef<Literal> Clause = Formula.clauseLiterals(LitWatcher); |
| |
| // Assert the invariant that the watched literal is always the first one |
| // in the clause. |
| // FIXME: Consider replacing this with a test case that fails if the |
| // invariant is broken by `updateWatchedLiterals`. That might not be easy |
| // due to the transformations performed by `buildBooleanFormula`. |
| assert(Clause.front() == Lit); |
| |
| if (isUnit(Clause)) |
| return true; |
| } |
| return false; |
| } |
| |
| /// Returns true if and only if `Clause` is a unit clause. |
| bool isUnit(llvm::ArrayRef<Literal> Clause) const { |
| return llvm::all_of(Clause.drop_front(), |
| [this](Literal L) { return isCurrentlyFalse(L); }); |
| } |
| |
| /// Returns true if and only if `Lit` evaluates to `false` in the current |
| /// partial assignment. |
| bool isCurrentlyFalse(Literal Lit) const { |
| return static_cast<int8_t>(VarAssignments[var(Lit)]) == |
| static_cast<int8_t>(Lit & 1); |
| } |
| |
| /// Returns true if and only if `Lit` is watched by a clause in `Formula`. |
| bool isWatched(Literal Lit) const { |
| return Formula.WatchedHead[Lit] != NullClause; |
| } |
| |
| /// Returns an assignment for an unassigned variable. |
| Assignment decideAssignment(Variable Var) const { |
| return !isWatched(posLit(Var)) || isWatched(negLit(Var)) |
| ? Assignment::AssignedFalse |
| : Assignment::AssignedTrue; |
| } |
| |
| /// Returns a set of all watched literals. |
| llvm::DenseSet<Literal> watchedLiterals() const { |
| llvm::DenseSet<Literal> WatchedLiterals; |
| for (Literal Lit = 2; Lit < Formula.WatchedHead.size(); Lit++) { |
| if (Formula.WatchedHead[Lit] == NullClause) |
| continue; |
| WatchedLiterals.insert(Lit); |
| } |
| return WatchedLiterals; |
| } |
| |
| /// Returns true if and only if all active variables are unassigned. |
| bool activeVarsAreUnassigned() const { |
| return llvm::all_of(ActiveVars, [this](Variable Var) { |
| return VarAssignments[Var] == Assignment::Unassigned; |
| }); |
| } |
| |
| /// Returns true if and only if all active variables form watched literals. |
| bool activeVarsFormWatchedLiterals() const { |
| const llvm::DenseSet<Literal> WatchedLiterals = watchedLiterals(); |
| return llvm::all_of(ActiveVars, [&WatchedLiterals](Variable Var) { |
| return WatchedLiterals.contains(posLit(Var)) || |
| WatchedLiterals.contains(negLit(Var)); |
| }); |
| } |
| |
| /// Returns true if and only if all unassigned variables that are forming |
| /// watched literals are active. |
| bool unassignedVarsFormingWatchedLiteralsAreActive() const { |
| const llvm::DenseSet<Variable> ActiveVarsSet(ActiveVars.begin(), |
| ActiveVars.end()); |
| for (Literal Lit : watchedLiterals()) { |
| const Variable Var = var(Lit); |
| if (VarAssignments[Var] != Assignment::Unassigned) |
| continue; |
| if (ActiveVarsSet.contains(Var)) |
| continue; |
| return false; |
| } |
| return true; |
| } |
| }; |
| |
| Solver::Result WatchedLiteralsSolver::solve(llvm::DenseSet<BoolValue *> Vals) { |
| return Vals.empty() ? Solver::Result::Satisfiable({{}}) |
| : WatchedLiteralsSolverImpl(Vals).solve(); |
| } |
| |
| } // namespace dataflow |
| } // namespace clang |