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bolt/deps/llvm-18.1.8/clang/lib/Analysis/FlowSensitive/WatchedLiteralsSolver.cpp
Sam Vervaeck 174b6f4d4e
Embed LLVM 18.1.8
2025-02-14 19:21:04 +01:00

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//===- 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 <cstddef>
#include <cstdint>
#include <queue>
#include <vector>
#include "clang/Analysis/FlowSensitive/Formula.h"
#include "clang/Analysis/FlowSensitive/Solver.h"
#include "clang/Analysis/FlowSensitive/WatchedLiteralsSolver.h"
#include "llvm/ADT/ArrayRef.h"
#include "llvm/ADT/DenseMap.h"
#include "llvm/ADT/DenseSet.h"
#include "llvm/ADT/SmallVector.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.
[[maybe_unused]] static constexpr Literal NullLit = 0;
/// Returns the positive literal `V`.
static constexpr Literal posLit(Variable V) { return 2 * V; }
static constexpr bool isPosLit(Literal L) { return 0 == (L & 1); }
static constexpr bool isNegLit(Literal L) { return 1 == (L & 1); }
/// 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 CNFFormula {
/// `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 Atom for atomic booleans in the
/// formula.
llvm::DenseMap<Variable, Atom> Atomics;
/// Indicates that we already know the formula is unsatisfiable.
/// During construction, we catch simple cases of conflicting unit-clauses.
bool KnownContradictory;
explicit CNFFormula(Variable LargestVar,
llvm::DenseMap<Variable, Atom> Atomics)
: LargestVar(LargestVar), Atomics(std::move(Atomics)),
KnownContradictory(false) {
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 ... v Ln` clause to the formula.
/// Requirements:
///
/// `Li` must not be `NullLit`.
///
/// All literals in the input that are not `NullLit` must be distinct.
void addClause(ArrayRef<Literal> lits) {
assert(!lits.empty());
assert(llvm::all_of(lits, [](Literal L) { return L != NullLit; }));
const ClauseID C = ClauseStarts.size();
const size_t S = Clauses.size();
ClauseStarts.push_back(S);
Clauses.insert(Clauses.end(), lits.begin(), lits.end());
// Designate the first literal as the "watched" literal of the clause.
NextWatched.push_back(WatchedHead[lits.front()]);
WatchedHead[lits.front()] = 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));
}
};
/// Applies simplifications while building up a BooleanFormula.
/// We keep track of unit clauses, which tell us variables that must be
/// true/false in any model that satisfies the overall formula.
/// Such variables can be dropped from subsequently-added clauses, which
/// may in turn yield more unit clauses or even a contradiction.
/// The total added complexity of this preprocessing is O(N) where we
/// for every clause, we do a lookup for each unit clauses.
/// The lookup is O(1) on average. This method won't catch all
/// contradictory formulas, more passes can in principle catch
/// more cases but we leave all these and the general case to the
/// proper SAT solver.
struct CNFFormulaBuilder {
// Formula should outlive CNFFormulaBuilder.
explicit CNFFormulaBuilder(CNFFormula &CNF)
: Formula(CNF) {}
/// Adds the `L1 v ... v Ln` clause to the formula. Applies
/// simplifications, based on single-literal clauses.
///
/// Requirements:
///
/// `Li` must not be `NullLit`.
///
/// All literals must be distinct.
void addClause(ArrayRef<Literal> Literals) {
// We generate clauses with up to 3 literals in this file.
assert(!Literals.empty() && Literals.size() <= 3);
// Contains literals of the simplified clause.
llvm::SmallVector<Literal> Simplified;
for (auto L : Literals) {
assert(L != NullLit &&
llvm::all_of(Simplified,
[L](Literal S) { return S != L; }));
auto X = var(L);
if (trueVars.contains(X)) { // X must be true
if (isPosLit(L))
return; // Omit clause `(... v X v ...)`, it is `true`.
else
continue; // Omit `!X` from `(... v !X v ...)`.
}
if (falseVars.contains(X)) { // X must be false
if (isNegLit(L))
return; // Omit clause `(... v !X v ...)`, it is `true`.
else
continue; // Omit `X` from `(... v X v ...)`.
}
Simplified.push_back(L);
}
if (Simplified.empty()) {
// Simplification made the clause empty, which is equivalent to `false`.
// We already know that this formula is unsatisfiable.
Formula.KnownContradictory = true;
// We can add any of the input literals to get an unsatisfiable formula.
Formula.addClause(Literals[0]);
return;
}
if (Simplified.size() == 1) {
// We have new unit clause.
const Literal lit = Simplified.front();
const Variable v = var(lit);
if (isPosLit(lit))
trueVars.insert(v);
else
falseVars.insert(v);
}
Formula.addClause(Simplified);
}
/// Returns true if we observed a contradiction while adding clauses.
/// In this case then the formula is already known to be unsatisfiable.
bool isKnownContradictory() { return Formula.KnownContradictory; }
private:
CNFFormula &Formula;
llvm::DenseSet<Variable> trueVars;
llvm::DenseSet<Variable> falseVars;
};
/// Converts the conjunction of `Vals` into a formula in conjunctive normal
/// form where each clause has at least one and at most three literals.
CNFFormula buildCNF(const llvm::ArrayRef<const Formula *> &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-formulas in `Vals`.
// Map each sub-formula in `Vals` to a unique variable.
llvm::DenseMap<const Formula *, Variable> SubValsToVar;
// Store variable identifiers and Atom of atomic booleans.
llvm::DenseMap<Variable, Atom> Atomics;
Variable NextVar = 1;
{
std::queue<const Formula *> UnprocessedSubVals;
for (const Formula *Val : Vals)
UnprocessedSubVals.push(Val);
while (!UnprocessedSubVals.empty()) {
Variable Var = NextVar;
const Formula *Val = UnprocessedSubVals.front();
UnprocessedSubVals.pop();
if (!SubValsToVar.try_emplace(Val, Var).second)
continue;
++NextVar;
for (const Formula *F : Val->operands())
UnprocessedSubVals.push(F);
if (Val->kind() == Formula::AtomRef)
Atomics[Var] = Val->getAtom();
}
}
auto GetVar = [&SubValsToVar](const Formula *Val) {
auto ValIt = SubValsToVar.find(Val);
assert(ValIt != SubValsToVar.end());
return ValIt->second;
};
CNFFormula CNF(NextVar - 1, std::move(Atomics));
std::vector<bool> ProcessedSubVals(NextVar, false);
CNFFormulaBuilder builder(CNF);
// Add a conjunct for each variable that represents a top-level conjunction
// value in `Vals`.
for (const Formula *Val : Vals)
builder.addClause(posLit(GetVar(Val)));
// Add conjuncts that represent the mapping between newly-created variables
// and their corresponding sub-formulas.
std::queue<const Formula *> UnprocessedSubVals;
for (const Formula *Val : Vals)
UnprocessedSubVals.push(Val);
while (!UnprocessedSubVals.empty()) {
const Formula *Val = UnprocessedSubVals.front();
UnprocessedSubVals.pop();
const Variable Var = GetVar(Val);
if (ProcessedSubVals[Var])
continue;
ProcessedSubVals[Var] = true;
switch (Val->kind()) {
case Formula::AtomRef:
break;
case Formula::Literal:
CNF.addClause(Val->literal() ? posLit(Var) : negLit(Var));
break;
case Formula::And: {
const Variable LHS = GetVar(Val->operands()[0]);
const Variable RHS = GetVar(Val->operands()[1]);
if (LHS == RHS) {
// `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.
builder.addClause({negLit(Var), posLit(LHS)});
builder.addClause({posLit(Var), negLit(LHS)});
} 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.
builder.addClause({negLit(Var), posLit(LHS)});
builder.addClause({negLit(Var), posLit(RHS)});
builder.addClause({posLit(Var), negLit(LHS), negLit(RHS)});
}
break;
}
case Formula::Or: {
const Variable LHS = GetVar(Val->operands()[0]);
const Variable RHS = GetVar(Val->operands()[1]);
if (LHS == RHS) {
// `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.
builder.addClause({negLit(Var), posLit(LHS)});
builder.addClause({posLit(Var), negLit(LHS)});
} 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.
builder.addClause({negLit(Var), posLit(LHS), posLit(RHS)});
builder.addClause({posLit(Var), negLit(LHS)});
builder.addClause({posLit(Var), negLit(RHS)});
}
break;
}
case Formula::Not: {
const Variable Operand = GetVar(Val->operands()[0]);
// `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.
builder.addClause({negLit(Var), negLit(Operand)});
builder.addClause({posLit(Var), posLit(Operand)});
break;
}
case Formula::Implies: {
const Variable LHS = GetVar(Val->operands()[0]);
const Variable RHS = GetVar(Val->operands()[1]);
// `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.
builder.addClause({posLit(Var), posLit(LHS)});
builder.addClause({posLit(Var), negLit(RHS)});
builder.addClause({negLit(Var), negLit(LHS), posLit(RHS)});
break;
}
case Formula::Equal: {
const Variable LHS = GetVar(Val->operands()[0]);
const Variable RHS = GetVar(Val->operands()[1]);
if (LHS == RHS) {
// `X <=> (A <=> A)` is equivalent to `X` which is already in
// conjunctive normal form. Below we add each of the conjuncts of the
// latter expression to the result.
builder.addClause(posLit(Var));
// No need to visit the sub-values of `Val`.
continue;
}
// `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.
builder.addClause({posLit(Var), posLit(LHS), posLit(RHS)});
builder.addClause({posLit(Var), negLit(LHS), negLit(RHS)});
builder.addClause({negLit(Var), posLit(LHS), negLit(RHS)});
builder.addClause({negLit(Var), negLit(LHS), posLit(RHS)});
break;
}
}
if (builder.isKnownContradictory()) {
return CNF;
}
for (const Formula *Child : Val->operands())
UnprocessedSubVals.push(Child);
}
// Unit clauses that were added later were not
// considered for the simplification of earlier clauses. Do a final
// pass to find more opportunities for simplification.
CNFFormula FinalCNF(NextVar - 1, std::move(CNF.Atomics));
CNFFormulaBuilder FinalBuilder(FinalCNF);
// Collect unit clauses.
for (ClauseID C = 1; C < CNF.ClauseStarts.size(); ++C) {
if (CNF.clauseSize(C) == 1) {
FinalBuilder.addClause(CNF.clauseLiterals(C)[0]);
}
}
// Add all clauses that were added previously, preserving the order.
for (ClauseID C = 1; C < CNF.ClauseStarts.size(); ++C) {
FinalBuilder.addClause(CNF.clauseLiterals(C));
if (FinalBuilder.isKnownContradictory()) {
break;
}
}
// It is possible there were new unit clauses again, but
// we stop here and leave the rest to the solver algorithm.
return FinalCNF;
}
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.
CNFFormula CNF;
/// 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::ArrayRef<const Formula *> &Vals)
: CNF(buildCNF(Vals)), LevelVars(CNF.LargestVar + 1),
LevelStates(CNF.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(CNF.LargestVar + 1, Assignment::Unassigned);
// Initialize the active variables.
for (Variable Var = CNF.LargestVar; Var != NullVar; --Var) {
if (isWatched(posLit(Var)) || isWatched(negLit(Var)))
ActiveVars.push_back(Var);
}
}
// Returns the `Result` and the number of iterations "remaining" from
// `MaxIterations` (that is, `MaxIterations` - iterations in this call).
std::pair<Solver::Result, std::int64_t> solve(std::int64_t MaxIterations) && {
if (CNF.KnownContradictory) {
// Short-cut the solving process. We already found out at CNF
// construction time that the formula is unsatisfiable.
return std::make_pair(Solver::Result::Unsatisfiable(), MaxIterations);
}
size_t I = 0;
while (I < ActiveVars.size()) {
if (MaxIterations == 0)
return std::make_pair(Solver::Result::TimedOut(), 0);
--MaxIterations;
// 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 `buildCNF`.
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 std::make_pair(Solver::Result::Unsatisfiable(), MaxIterations);
// 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 std::make_pair(Solver::Result::Satisfiable(buildSolution()),
MaxIterations);
}
private:
/// Returns a satisfying truth assignment to the atoms in the boolean formula.
llvm::DenseMap<Atom, Solver::Result::Assignment> buildSolution() {
llvm::DenseMap<Atom, Solver::Result::Assignment> Solution;
for (auto &Atomic : CNF.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 = CNF.WatchedHead[FalseLit];
CNF.WatchedHead[FalseLit] = NullClause;
while (FalseLitWatcher != NullClause) {
const ClauseID NextFalseLitWatcher = CNF.NextWatched[FalseLitWatcher];
// Pick the first non-false literal as the new watched literal.
const size_t FalseLitWatcherStart = CNF.ClauseStarts[FalseLitWatcher];
size_t NewWatchedLitIdx = FalseLitWatcherStart + 1;
while (isCurrentlyFalse(CNF.Clauses[NewWatchedLitIdx]))
++NewWatchedLitIdx;
const Literal NewWatchedLit = CNF.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.
CNF.Clauses[NewWatchedLitIdx] = FalseLit;
CNF.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);
CNF.NextWatched[FalseLitWatcher] = CNF.WatchedHead[NewWatchedLit];
CNF.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 = CNF.WatchedHead[Lit]; LitWatcher != NullClause;
LitWatcher = CNF.NextWatched[LitWatcher]) {
llvm::ArrayRef<Literal> Clause = CNF.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 `buildCNF`.
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 CNF.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 < CNF.WatchedHead.size(); Lit++) {
if (CNF.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::ArrayRef<const Formula *> Vals) {
if (Vals.empty())
return Solver::Result::Satisfiable({{}});
auto [Res, Iterations] = WatchedLiteralsSolverImpl(Vals).solve(MaxIterations);
MaxIterations = Iterations;
return Res;
}
} // namespace dataflow
} // namespace clang
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