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1094 lines
37 KiB
C++
1094 lines
37 KiB
C++
//===--- CSStep.cpp - Constraint Solver Steps -----------------------------===//
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//
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// This source file is part of the Swift.org open source project
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//
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// Copyright (c) 2014 - 2018 Apple Inc. and the Swift project authors
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// Licensed under Apache License v2.0 with Runtime Library Exception
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//
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// See https://swift.org/LICENSE.txt for license information
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// See https://swift.org/CONTRIBUTORS.txt for the list of Swift project authors
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//
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//===----------------------------------------------------------------------===//
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//
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// This file implements the \c SolverStep class and its related types,
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// which is used by constraint solver to do iterative solving.
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//
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//===----------------------------------------------------------------------===//
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#include "CSStep.h"
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#include "TypeChecker.h"
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#include "swift/AST/Types.h"
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#include "swift/AST/TypeCheckRequests.h"
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#include "swift/AST/GenericEnvironment.h"
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#include "swift/Sema/ConstraintSystem.h"
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#include "llvm/ADT/ArrayRef.h"
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#include "llvm/ADT/SmallVector.h"
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#include "llvm/ADT/STLExtras.h"
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#include "llvm/Support/raw_ostream.h"
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using namespace llvm;
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using namespace swift;
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using namespace constraints;
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ComponentStep::Scope::Scope(ComponentStep &component)
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: CS(component.CS), Component(component) {
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TypeVars = std::move(CS.TypeVariables);
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for (auto *typeVar : component.TypeVars)
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CS.addTypeVariable(typeVar);
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auto &workList = CS.InactiveConstraints;
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workList.splice(workList.end(), *component.Constraints);
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SolverScope = new ConstraintSystem::SolverScope(CS);
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PrevPartialScope = CS.solverState->PartialSolutionScope;
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CS.solverState->PartialSolutionScope = SolverScope;
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}
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StepResult SplitterStep::take(bool prevFailed) {
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// "split" is considered a failure if previous step failed,
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// or there is a failure recorded by constraint system, or
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// system can't be simplified.
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if (prevFailed || CS.failedConstraint || CS.simplify())
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return done(/*isSuccess=*/false);
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SmallVector<std::unique_ptr<SolverStep>, 4> followup;
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// Try to run "connected components" algorithm and split
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// type variables and their constraints into independent
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// sub-systems to solve.
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computeFollowupSteps(followup);
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// If there is only one step, there is no reason to
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// try to merge solutions, "split" step should be considered
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// done and replaced by a single component step.
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if (followup.size() < 2)
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return replaceWith(std::move(followup.front()));
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/// Wait until all of the steps are done.
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return suspend(followup);
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}
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StepResult SplitterStep::resume(bool prevFailed) {
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// Restore the state of the constraint system to before split.
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CS.CG.setOrphanedConstraints(std::move(OrphanedConstraints));
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auto &workList = CS.InactiveConstraints;
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for (auto &component : Components)
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workList.splice(workList.end(), component);
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// If we came back to this step and previous (one of the components)
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// failed, it means that we can't solve this step either.
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if (prevFailed)
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return done(/*isSuccess=*/false);
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// Otherwise let's try to merge partial solutions together
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// and form a complete solution(s) for this split.
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return done(mergePartialSolutions());
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}
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void SplitterStep::computeFollowupSteps(
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SmallVectorImpl<std::unique_ptr<SolverStep>> &steps) {
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// Compute next steps based on that connected components
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// algorithm tells us is splittable.
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auto &CG = CS.getConstraintGraph();
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// Contract the edges of the constraint graph.
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CG.optimize();
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// Compute the connected components of the constraint graph.
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auto components = CG.computeConnectedComponents(CS.getTypeVariables());
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unsigned numComponents = components.size();
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if (numComponents < 2) {
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steps.push_back(std::make_unique<ComponentStep>(
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CS, 0, &CS.InactiveConstraints, Solutions));
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return;
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}
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if (CS.isDebugMode()) {
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auto &log = getDebugLogger();
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auto indent = CS.solverState->getCurrentIndent();
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// Verify that the constraint graph is valid.
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CG.verify();
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log.indent(indent) << "---Constraint graph---\n";
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CG.print(CS.getTypeVariables(), log);
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log.indent(indent) << "---Connected components---\n";
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CG.printConnectedComponents(CS.getTypeVariables(), log);
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}
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// Take the orphaned constraints, because they'll go into a component now.
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OrphanedConstraints = CG.takeOrphanedConstraints();
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IncludeInMergedResults.resize(numComponents, true);
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Components.resize(numComponents);
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PartialSolutions = std::unique_ptr<SmallVector<Solution, 4>[]>(
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new SmallVector<Solution, 4>[numComponents]);
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// Add components.
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for (unsigned i : indices(components)) {
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unsigned solutionIndex = components[i].solutionIndex;
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// If there are no dependencies, build a normal component step.
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if (components[i].getDependencies().empty()) {
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steps.push_back(std::make_unique<ComponentStep>(
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CS, solutionIndex, &Components[i], std::move(components[i]),
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PartialSolutions[solutionIndex]));
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continue;
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}
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// Note that the partial results from any dependencies of this component
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// need not be included in the final merged results, because they'll
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// already be part of the partial results for this component.
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for (auto dependsOn : components[i].getDependencies()) {
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IncludeInMergedResults[dependsOn] = false;
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}
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// Otherwise, build a dependent component "splitter" step, which
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// handles all combinations of incoming partial solutions.
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steps.push_back(std::make_unique<DependentComponentSplitterStep>(
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CS, &Components[i], solutionIndex, std::move(components[i]),
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llvm::makeMutableArrayRef(PartialSolutions.get(), numComponents)));
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}
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assert(CS.InactiveConstraints.empty() && "Missed a constraint");
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}
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namespace {
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/// Retrieve the size of a container.
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template<typename Container>
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unsigned getSize(const Container &container) {
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return container.size();
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}
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/// Retrieve the size of a container referenced by a pointer.
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template<typename Container>
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unsigned getSize(const Container *container) {
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return container->size();
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}
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/// Identity getSize() for cases where we are working with a count.
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unsigned getSize(unsigned size) {
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return size;
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}
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/// Compute the next combination of indices into the given array of
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/// containers.
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/// \param containers Containers (each of which must have a `size()`) in
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/// which the indices will be generated.
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/// \param indices The current indices into the containers, which will
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/// be updated to represent the next combination.
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/// \returns true to indicate that \c indices contains the next combination,
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/// or \c false to indicate that there are no combinations left.
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template<typename Container>
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bool nextCombination(ArrayRef<Container> containers,
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MutableArrayRef<unsigned> indices) {
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assert(containers.size() == indices.size() &&
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"Indices should have been initialized to the same size with 0s");
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unsigned numIndices = containers.size();
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for (unsigned n = numIndices; n > 0; --n) {
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++indices[n - 1];
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// If we haven't run out of solutions yet, we're done.
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if (indices[n - 1] < getSize(containers[n - 1]))
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break;
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// If we ran out of solutions at the first position, we're done.
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if (n == 1) {
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return false;
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}
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// Zero out the indices from here to the end.
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for (unsigned i = n - 1; i != numIndices; ++i)
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indices[i] = 0;
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}
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return true;
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}
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}
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bool SplitterStep::mergePartialSolutions() const {
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assert(Components.size() >= 2);
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// Compute the # of partial solutions that will be merged for each
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// component. Components that shouldn't be included will get a count of 1,
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// an we'll skip them later.
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auto numComponents = Components.size();
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SmallVector<unsigned, 2> countsVec;
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countsVec.reserve(numComponents);
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for (unsigned idx : range(numComponents)) {
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countsVec.push_back(
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IncludeInMergedResults[idx] ? PartialSolutions[idx].size() : 1);
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}
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// Produce all combinations of partial solutions.
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ArrayRef<unsigned> counts = countsVec;
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SmallVector<unsigned, 2> indices(numComponents, 0);
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bool anySolutions = false;
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size_t solutionMemory = 0;
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do {
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// Create a new solver scope in which we apply all of the relevant partial
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// solutions.
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ConstraintSystem::SolverScope scope(CS);
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for (unsigned i : range(numComponents)) {
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if (!IncludeInMergedResults[i])
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continue;
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CS.applySolution(PartialSolutions[i][indices[i]]);
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}
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// This solution might be worse than the best solution found so far.
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// If so, skip it.
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if (!CS.worseThanBestSolution()) {
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// Finalize this solution.
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auto solution = CS.finalize();
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solutionMemory += solution.getTotalMemory();
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if (CS.isDebugMode()) {
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auto &log = getDebugLogger();
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log << "(composed solution:";
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CS.CurrentScore.print(log);
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log << ")\n";
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}
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// Save this solution.
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Solutions.push_back(std::move(solution));
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anySolutions = true;
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}
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// Since merging partial solutions can go exponential, make sure we didn't
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// pass the "too complex" thresholds including allocated memory and time.
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if (CS.isTooComplex(solutionMemory))
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return false;
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} while (nextCombination(counts, indices));
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return anySolutions;
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}
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StepResult DependentComponentSplitterStep::take(bool prevFailed) {
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// "split" is considered a failure if previous step failed,
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// or there is a failure recorded by constraint system, or
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// system can't be simplified.
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if (prevFailed || CS.getFailedConstraint() || CS.simplify())
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return done(/*isSuccess=*/false);
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// Figure out the sets of partial solutions that this component depends on.
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SmallVector<const SmallVector<Solution, 4> *, 2> dependsOnSets;
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for (auto index : Component.getDependencies()) {
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dependsOnSets.push_back(&AllPartialSolutions[index]);
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}
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// Produce all combinations of partial solutions for the inputs.
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SmallVector<std::unique_ptr<SolverStep>, 4> followup;
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SmallVector<unsigned, 2> indices(Component.getDependencies().size(), 0);
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auto dependsOnSetsRef = llvm::makeArrayRef(dependsOnSets);
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do {
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// Form the set of input partial solutions.
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SmallVector<const Solution *, 2> dependsOnSolutions;
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for (auto index : swift::indices(indices)) {
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dependsOnSolutions.push_back(&(*dependsOnSets[index])[indices[index]]);
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}
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ContextualSolutions.push_back(std::make_unique<SmallVector<Solution, 2>>());
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followup.push_back(std::make_unique<ComponentStep>(
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CS, Index, Constraints, Component, std::move(dependsOnSolutions),
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*ContextualSolutions.back()));
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} while (nextCombination(dependsOnSetsRef, indices));
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/// Wait until all of the component steps are done.
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return suspend(followup);
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}
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StepResult DependentComponentSplitterStep::resume(bool prevFailed) {
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for (auto &ComponentStepSolutions : ContextualSolutions) {
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Solutions.append(std::make_move_iterator(ComponentStepSolutions->begin()),
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std::make_move_iterator(ComponentStepSolutions->end()));
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}
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return done(/*isSuccess=*/!Solutions.empty());
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}
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void DependentComponentSplitterStep::print(llvm::raw_ostream &Out) {
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Out << "DependentComponentSplitterStep for dependencies on [";
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interleave(
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Component.getDependencies(), [&](unsigned index) { Out << index; },
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[&] { Out << ", "; });
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Out << "]\n";
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}
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StepResult ComponentStep::take(bool prevFailed) {
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// One of the previous components created by "split"
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// failed, it means that we can't solve this component.
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if ((prevFailed && DependsOnPartialSolutions.empty()) ||
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CS.isTooComplex(Solutions))
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return done(/*isSuccess=*/false);
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// Setup active scope, only if previous component didn't fail.
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setupScope();
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// If there are any dependent partial solutions to compose, do so now.
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if (!DependsOnPartialSolutions.empty()) {
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for (auto partial : DependsOnPartialSolutions) {
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CS.applySolution(*partial);
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}
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// Activate all of the one-way constraints.
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SmallVector<Constraint *, 4> oneWayConstraints;
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for (auto &constraint : CS.InactiveConstraints) {
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if (constraint.isOneWayConstraint())
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oneWayConstraints.push_back(&constraint);
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}
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for (auto constraint : oneWayConstraints) {
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CS.activateConstraint(constraint);
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}
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// Simplify again.
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if (CS.failedConstraint || CS.simplify())
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return done(/*isSuccess=*/false);
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}
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/// Try to figure out what this step is going to be,
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/// after the scope has been established.
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SmallString<64> potentialBindings;
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llvm::raw_svector_ostream bos(potentialBindings);
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auto bestBindings = CS.determineBestBindings([&](const BindingSet &bindings) {
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if (CS.isDebugMode() && bindings.hasViableBindings()) {
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bos.indent(CS.solverState->getCurrentIndent() + 2);
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bos << "(";
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bindings.dump(bos, CS.solverState->getCurrentIndent() + 2);
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bos << ")\n";
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}
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});
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auto *disjunction = CS.selectDisjunction();
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auto *conjunction = CS.selectConjunction();
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if (CS.isDebugMode()) {
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SmallVector<Constraint *, 4> disjunctions;
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CS.collectDisjunctions(disjunctions);
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std::vector<std::string> overloadDisjunctions;
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for (const auto &disjunction : disjunctions) {
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PrintOptions PO;
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PO.PrintTypesForDebugging = true;
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auto constraints = disjunction->getNestedConstraints();
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if (constraints[0]->getKind() == ConstraintKind::BindOverload)
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overloadDisjunctions.push_back(
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constraints[0]->getFirstType()->getString(PO));
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}
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if (!potentialBindings.empty() || !overloadDisjunctions.empty()) {
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auto &log = getDebugLogger();
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log << "(Potential Binding(s): " << '\n';
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log << potentialBindings;
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}
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if (!overloadDisjunctions.empty()) {
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auto &log = getDebugLogger();
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log.indent(CS.solverState->getCurrentIndent() + 2);
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log << "Disjunction(s) = [";
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interleave(overloadDisjunctions, log, ", ");
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log << "]\n";
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}
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if (!potentialBindings.empty() || !overloadDisjunctions.empty()) {
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auto &log = getDebugLogger();
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log << ")\n";
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}
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}
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enum class StepKind { Binding, Disjunction, Conjunction };
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auto chooseStep = [&]() -> Optional<StepKind> {
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// Bindings usually happen first, but sometimes we want to prioritize a
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// disjunction or conjunction.
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if (bestBindings) {
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if (disjunction && !bestBindings->favoredOverDisjunction(disjunction))
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return StepKind::Disjunction;
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if (conjunction && !bestBindings->favoredOverConjunction(conjunction))
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return StepKind::Conjunction;
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return StepKind::Binding;
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}
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if (disjunction)
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return StepKind::Disjunction;
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if (conjunction)
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return StepKind::Conjunction;
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return None;
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};
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if (auto step = chooseStep()) {
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switch (*step) {
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case StepKind::Binding:
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return suspend(
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std::make_unique<TypeVariableStep>(*bestBindings, Solutions));
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case StepKind::Disjunction:
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return suspend(
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std::make_unique<DisjunctionStep>(CS, disjunction, Solutions));
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case StepKind::Conjunction:
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return suspend(
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std::make_unique<ConjunctionStep>(CS, conjunction, Solutions));
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}
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llvm_unreachable("Unhandled case in switch!");
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}
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if (!CS.solverState->allowsFreeTypeVariables() && CS.hasFreeTypeVariables()) {
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// If there are no disjunctions or type variables to bind
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// we can't solve this system unless we have free type variables
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// allowed in the solution.
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return finalize(/*isSuccess=*/false);
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}
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auto printConstraints = [&](const ConstraintList &constraints) {
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for (auto &constraint : constraints)
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constraint.print(
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getDebugLogger().indent(CS.solverState->getCurrentIndent()),
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&CS.getASTContext().SourceMgr, CS.solverState->getCurrentIndent());
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};
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// If we don't have any disjunction or type variable choices left, we're done
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// solving. Make sure we don't have any unsolved constraints left over, using
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// report_fatal_error to make sure we trap in debug builds and fail the step
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// in release builds.
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if (!CS.ActiveConstraints.empty()) {
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if (CS.isDebugMode()) {
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getDebugLogger() << "(failed due to remaining active constraints:\n";
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printConstraints(CS.ActiveConstraints);
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getDebugLogger() << ")\n";
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}
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CS.InvalidState = true;
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return finalize(/*isSuccess=*/false);
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}
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if (!CS.solverState->allowsFreeTypeVariables()) {
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if (!CS.InactiveConstraints.empty()) {
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if (CS.isDebugMode()) {
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getDebugLogger() << "(failed due to remaining inactive constraints:\n";
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printConstraints(CS.InactiveConstraints);
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getDebugLogger() << ")\n";
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}
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CS.InvalidState = true;
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return finalize(/*isSuccess=*/false);
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}
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}
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// If this solution is worse than the best solution we've seen so far,
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// skip it.
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if (CS.worseThanBestSolution())
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return finalize(/*isSuccess=*/false);
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// If we only have relational or member constraints and are allowing
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// free type variables, save the solution.
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for (auto &constraint : CS.InactiveConstraints) {
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switch (constraint.getClassification()) {
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case ConstraintClassification::Relational:
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case ConstraintClassification::Member:
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continue;
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default:
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return finalize(/*isSuccess=*/false);
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}
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}
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auto solution = CS.finalize();
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if (CS.isDebugMode()) {
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auto &log = getDebugLogger();
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log << "(found solution:";
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getCurrentScore().print(log);
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log << ")\n";
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}
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Solutions.push_back(std::move(solution));
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return finalize(/*isSuccess=*/true);
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}
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StepResult ComponentStep::finalize(bool isSuccess) {
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// If this was a single component, there is nothing to be done,
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// because it represents the whole constraint system at some
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// point of the solver path.
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if (IsSingle)
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return done(isSuccess);
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|
|
|
// Rewind all modifications done to constraint system.
|
|
ComponentScope.reset();
|
|
|
|
if (CS.isDebugMode()) {
|
|
auto &log = getDebugLogger();
|
|
log << (isSuccess ? "finished" : "failed") << " component #" << Index
|
|
<< ")\n";
|
|
}
|
|
|
|
// If we came either back to this step and previous
|
|
// (either disjunction or type var) failed, it means
|
|
// that component as a whole has failed.
|
|
if (!isSuccess)
|
|
return done(/*isSuccess=*/false);
|
|
|
|
assert(!Solutions.empty() && "No Solutions?");
|
|
|
|
// For each of the partial solutions, subtract off the current score.
|
|
// It doesn't contribute.
|
|
for (auto &solution : Solutions)
|
|
solution.getFixedScore() -= OriginalScore;
|
|
|
|
// Restore the original best score.
|
|
CS.solverState->BestScore = OriginalBestScore;
|
|
|
|
// When there are multiple partial solutions for a given connected component,
|
|
// rank those solutions to pick the best ones. This limits the number of
|
|
// combinations we need to produce; in the common case, down to a single
|
|
// combination.
|
|
filterSolutions(Solutions, /*minimize=*/true);
|
|
return done(/*isSuccess=*/true);
|
|
}
|
|
|
|
void TypeVariableStep::setup() {
|
|
++CS.solverState->NumTypeVariablesBound;
|
|
}
|
|
|
|
bool TypeVariableStep::attempt(const TypeVariableBinding &choice) {
|
|
++CS.solverState->NumTypeVariableBindings;
|
|
|
|
if (choice.hasDefaultedProtocol())
|
|
SawFirstLiteralConstraint = true;
|
|
|
|
// Try to solve the system with typeVar := type
|
|
return choice.attempt(CS);
|
|
}
|
|
|
|
StepResult TypeVariableStep::resume(bool prevFailed) {
|
|
assert(ActiveChoice);
|
|
|
|
// If there was no failure in the sub-path it means
|
|
// that active binding has a solution.
|
|
AnySolved |= !prevFailed;
|
|
|
|
bool shouldStop = shouldStopAfter(ActiveChoice->second);
|
|
// Rewind back all of the changes made to constraint system.
|
|
ActiveChoice.reset();
|
|
|
|
if (CS.isDebugMode())
|
|
getDebugLogger() << ")\n";
|
|
|
|
// Let's check if we should stop right before
|
|
// attempting any new bindings.
|
|
if (shouldStop)
|
|
return done(/*isSuccess=*/AnySolved);
|
|
|
|
// Attempt next type variable binding.
|
|
return take(prevFailed);
|
|
}
|
|
|
|
StepResult DisjunctionStep::resume(bool prevFailed) {
|
|
// If disjunction step is re-taken and there should be
|
|
// active choice, let's see if it has be solved or not.
|
|
assert(ActiveChoice);
|
|
|
|
// If choice (sub-path) has failed, it's okay, other
|
|
// choices have to be attempted regardless, since final
|
|
// decision could be made only after attempting all
|
|
// of the choices, so let's just ignore failed ones.
|
|
if (!prevFailed) {
|
|
auto &choice = ActiveChoice->second;
|
|
auto score = getBestScore(Solutions);
|
|
|
|
if (!choice.isGenericOperator() && choice.isSymmetricOperator()) {
|
|
if (!BestNonGenericScore || score < BestNonGenericScore) {
|
|
BestNonGenericScore = score;
|
|
if (shouldSkipGenericOperators()) {
|
|
// The disjunction choice producer shouldn't do the work
|
|
// to partition the generic operator choices if generic
|
|
// operators are going to be skipped.
|
|
Producer.setNeedsGenericOperatorOrdering(false);
|
|
}
|
|
}
|
|
}
|
|
|
|
AnySolved = true;
|
|
// Remember the last successfully solved choice,
|
|
// it would be useful when disjunction is exhausted.
|
|
LastSolvedChoice = {choice, *score};
|
|
}
|
|
|
|
// Rewind back the constraint system information.
|
|
ActiveChoice.reset();
|
|
|
|
if (CS.isDebugMode())
|
|
getDebugLogger() << ")\n";
|
|
|
|
// Attempt next disjunction choice (if any left).
|
|
return take(prevFailed);
|
|
}
|
|
|
|
bool IsDeclRefinementOfRequest::evaluate(Evaluator &evaluator,
|
|
ValueDecl *declA,
|
|
ValueDecl *declB) const {
|
|
auto *typeA = declA->getInterfaceType()->getAs<GenericFunctionType>();
|
|
auto *typeB = declB->getInterfaceType()->getAs<GenericFunctionType>();
|
|
|
|
if (!typeA || !typeB)
|
|
return false;
|
|
|
|
auto genericSignatureA = typeA->getGenericSignature();
|
|
auto genericSignatureB = typeB->getGenericSignature();
|
|
|
|
// Substitute generic parameters with their archetypes in each generic function.
|
|
Type substTypeA = typeA->substGenericArgs(
|
|
genericSignatureA.getGenericEnvironment()->getForwardingSubstitutionMap());
|
|
Type substTypeB = typeB->substGenericArgs(
|
|
genericSignatureB.getGenericEnvironment()->getForwardingSubstitutionMap());
|
|
|
|
// Attempt to substitute archetypes from the second type with archetypes in the
|
|
// same structural position in the first type.
|
|
TypeSubstitutionMap substMap;
|
|
substTypeB = substTypeB->substituteBindingsTo(substTypeA,
|
|
[&](ArchetypeType *origType, CanType substType,
|
|
ArchetypeType *, ArrayRef<ProtocolConformanceRef>) -> CanType {
|
|
auto interfaceTy =
|
|
origType->getInterfaceType()->getCanonicalType()->getAs<SubstitutableType>();
|
|
|
|
// Make sure any duplicate bindings are equal to the one already recorded.
|
|
// Otherwise, the substitution has conflicting generic arguments.
|
|
auto bound = substMap.find(interfaceTy);
|
|
if (bound != substMap.end() && !bound->second->isEqual(substType))
|
|
return CanType();
|
|
|
|
substMap[interfaceTy] = substType;
|
|
return substType;
|
|
});
|
|
|
|
if (!substTypeB)
|
|
return false;
|
|
|
|
auto result = TypeChecker::checkGenericArguments(
|
|
declA->getDeclContext()->getParentModule(),
|
|
genericSignatureB.getRequirements(),
|
|
QueryTypeSubstitutionMap{ substMap });
|
|
|
|
if (result != CheckGenericArgumentsResult::Success)
|
|
return false;
|
|
|
|
return substTypeA->isEqual(substTypeB);
|
|
}
|
|
|
|
bool TypeChecker::isDeclRefinementOf(ValueDecl *declA, ValueDecl *declB) {
|
|
return evaluateOrDefault(declA->getASTContext().evaluator,
|
|
IsDeclRefinementOfRequest{ declA, declB },
|
|
false);
|
|
}
|
|
|
|
bool DisjunctionStep::shouldSkip(const DisjunctionChoice &choice) const {
|
|
auto &ctx = CS.getASTContext();
|
|
|
|
auto skip = [&](std::string reason) -> bool {
|
|
if (CS.isDebugMode()) {
|
|
auto &log = getDebugLogger();
|
|
log << "(skipping " + reason + " ";
|
|
choice.print(log, &ctx.SourceMgr, CS.solverState->getCurrentIndent());
|
|
log << ")\n";
|
|
}
|
|
|
|
return true;
|
|
};
|
|
|
|
|
|
// Skip disabled overloads in the diagnostic mode if they do not have a
|
|
// fix attached to them e.g. overloads where labels didn't match up.
|
|
if (choice.isDisabled())
|
|
return skip("disabled");
|
|
|
|
// Skip unavailable overloads (unless in diagnostic mode).
|
|
if (choice.isUnavailable() && !CS.shouldAttemptFixes())
|
|
return skip("unavailable");
|
|
|
|
if (ctx.TypeCheckerOpts.DisableConstraintSolverPerformanceHacks)
|
|
return false;
|
|
|
|
// If the solver already found a solution with a better overload choice that
|
|
// can be unconditionally substituted by the current choice, skip the current
|
|
// choice.
|
|
if (LastSolvedChoice && LastSolvedChoice->second == getCurrentScore() &&
|
|
choice.isGenericOperator()) {
|
|
auto *declA = LastSolvedChoice->first->getOverloadChoice().getDecl();
|
|
auto *declB = static_cast<Constraint *>(choice)->getOverloadChoice().getDecl();
|
|
|
|
if (declA->getBaseIdentifier().isArithmeticOperator() &&
|
|
TypeChecker::isDeclRefinementOf(declA, declB)) {
|
|
return skip("subtype");
|
|
}
|
|
}
|
|
|
|
// Don't attempt to solve for generic operators if we already have
|
|
// a non-generic solution.
|
|
|
|
// FIXME: Less-horrible but still horrible hack to attempt to
|
|
// speed things up. Skip the generic operators if we
|
|
// already have a solution involving non-generic operators,
|
|
// but continue looking for a better non-generic operator
|
|
// solution.
|
|
if (BestNonGenericScore && choice.isGenericOperator()) {
|
|
auto &score = BestNonGenericScore->Data;
|
|
|
|
// Not all of the unary operators have `CGFloat` overloads,
|
|
// so in order to preserve previous behavior (and overall
|
|
// best solution) with implicit Double<->CGFloat conversion
|
|
// we need to allow attempting generic operators for such cases.
|
|
if (score[SK_ImplicitValueConversion] > 0 && choice.isUnaryOperator())
|
|
return false;
|
|
|
|
if (shouldSkipGenericOperators())
|
|
return skip("generic");
|
|
}
|
|
|
|
return false;
|
|
}
|
|
|
|
bool DisjunctionStep::shouldStopAt(const DisjunctionChoice &choice) const {
|
|
if (!LastSolvedChoice)
|
|
return false;
|
|
|
|
auto *lastChoice = LastSolvedChoice->first;
|
|
auto delta = LastSolvedChoice->second - getCurrentScore();
|
|
bool hasUnavailableOverloads = delta.Data[SK_Unavailable] > 0;
|
|
bool hasFixes = delta.Data[SK_Fix] > 0;
|
|
bool hasAsyncMismatch = delta.Data[SK_AsyncInSyncMismatch] > 0;
|
|
auto isBeginningOfPartition = choice.isBeginningOfPartition();
|
|
|
|
// Attempt to short-circuit evaluation of this disjunction only
|
|
// if the disjunction choice we are comparing to did not involve:
|
|
// 1. selecting unavailable overloads
|
|
// 2. result in fixes being applied to reach a solution
|
|
// 3. selecting an overload that results in an async/sync mismatch
|
|
return !hasUnavailableOverloads && !hasFixes && !hasAsyncMismatch &&
|
|
(isBeginningOfPartition ||
|
|
shortCircuitDisjunctionAt(choice, lastChoice));
|
|
}
|
|
|
|
bool swift::isSIMDOperator(ValueDecl *value) {
|
|
if (!value)
|
|
return false;
|
|
|
|
auto func = dyn_cast<FuncDecl>(value);
|
|
if (!func)
|
|
return false;
|
|
|
|
if (!func->isOperator())
|
|
return false;
|
|
|
|
auto nominal = func->getDeclContext()->getSelfNominalTypeDecl();
|
|
if (!nominal)
|
|
return false;
|
|
|
|
if (nominal->getName().empty())
|
|
return false;
|
|
|
|
return nominal->getName().str().startswith_insensitive("simd");
|
|
}
|
|
|
|
bool DisjunctionStep::shortCircuitDisjunctionAt(
|
|
Constraint *currentChoice, Constraint *lastSuccessfulChoice) const {
|
|
auto &ctx = CS.getASTContext();
|
|
|
|
// Anything without a fix is better than anything with a fix.
|
|
if (currentChoice->getFix() && !lastSuccessfulChoice->getFix())
|
|
return true;
|
|
|
|
if (ctx.TypeCheckerOpts.DisableConstraintSolverPerformanceHacks)
|
|
return false;
|
|
|
|
if (auto restriction = currentChoice->getRestriction()) {
|
|
// Non-optional conversions are better than optional-to-optional
|
|
// conversions.
|
|
if (*restriction == ConversionRestrictionKind::OptionalToOptional)
|
|
return true;
|
|
|
|
// Array-to-pointer conversions are better than inout-to-pointer
|
|
// conversions.
|
|
if (auto successfulRestriction = lastSuccessfulChoice->getRestriction()) {
|
|
if (*successfulRestriction == ConversionRestrictionKind::ArrayToPointer &&
|
|
*restriction == ConversionRestrictionKind::InoutToPointer)
|
|
return true;
|
|
}
|
|
}
|
|
|
|
// Implicit conversions are better than checked casts.
|
|
if (currentChoice->getKind() == ConstraintKind::CheckedCast)
|
|
return true;
|
|
|
|
return false;
|
|
}
|
|
|
|
bool DisjunctionStep::attempt(const DisjunctionChoice &choice) {
|
|
++CS.solverState->NumDisjunctionTerms;
|
|
|
|
// If the disjunction requested us to, remember which choice we
|
|
// took for it.
|
|
if (auto *disjunctionLocator = getLocator()) {
|
|
auto index = choice.getIndex();
|
|
recordDisjunctionChoice(disjunctionLocator, index);
|
|
|
|
// Implicit unwraps of optionals are worse solutions than those
|
|
// not involving implicit unwraps.
|
|
if (!disjunctionLocator->getPath().empty()) {
|
|
auto kind = disjunctionLocator->getPath().back().getKind();
|
|
if (kind == ConstraintLocator::ImplicitlyUnwrappedDisjunctionChoice ||
|
|
kind == ConstraintLocator::DynamicLookupResult) {
|
|
assert(index == 0 || index == 1);
|
|
if (index == 1)
|
|
CS.increaseScore(SK_ForceUnchecked);
|
|
}
|
|
}
|
|
}
|
|
|
|
return choice.attempt(CS);
|
|
}
|
|
|
|
bool ConjunctionStep::attempt(const ConjunctionElement &element) {
|
|
++CS.solverState->NumConjunctionTerms;
|
|
|
|
// Outside or previous element score doesn't affect
|
|
// subsequent elements.
|
|
CS.solverState->BestScore.reset();
|
|
|
|
// Apply solution inferred for all the previous elements
|
|
// because this element could reference declarations
|
|
// established in previous element(s).
|
|
if (!Solutions.empty()) {
|
|
assert(Solutions.size() == 1);
|
|
// Note that solution is removed here. This is done
|
|
// because we want build a single complete solution
|
|
// incrementally.
|
|
CS.applySolution(Solutions.pop_back_val());
|
|
}
|
|
|
|
// Make sure that element is solved in isolation
|
|
// by dropping all scoring information.
|
|
CS.CurrentScore = Score();
|
|
|
|
// Reset the scope counter to avoid "too complex" failures
|
|
// when closure has a lot of elements in the body.
|
|
CS.CountScopes = 0;
|
|
|
|
// If timer is enabled, let's reset it so that each element
|
|
// (expression) gets a fresh time slice to get solved. This
|
|
// is important for closures with large number of statements
|
|
// in them.
|
|
if (CS.Timer) {
|
|
CS.Timer.emplace(element.getLocator(), CS);
|
|
}
|
|
|
|
assert(!ModifiedOptions.has_value() &&
|
|
"Previously modified options should have been restored in resume");
|
|
if (CS.isForCodeCompletion() &&
|
|
!element.mightContainCodeCompletionToken(CS)) {
|
|
ModifiedOptions.emplace(CS.Options);
|
|
// If we know that this conjunction element doesn't contain the code
|
|
// completion token, type check it in normal mode without any special
|
|
// behavior that is intended for the code completion token.
|
|
CS.Options -= ConstraintSystemFlags::ForCodeCompletion;
|
|
}
|
|
|
|
auto success = element.attempt(CS);
|
|
|
|
// If element attempt has failed, mark whole conjunction
|
|
// as a failure.
|
|
if (!success)
|
|
markAsFailed();
|
|
|
|
return success;
|
|
}
|
|
|
|
StepResult ConjunctionStep::resume(bool prevFailed) {
|
|
// Restore the old ConstraintSystemOptions if 'attempt' modified them.
|
|
ModifiedOptions.reset();
|
|
|
|
// Return from the follow-up splitter step that
|
|
// attempted to apply information gained from the
|
|
// isolated constraint to the outer context.
|
|
if (Snapshot && Snapshot->isScoped()) {
|
|
Snapshot.reset();
|
|
if (CS.isDebugMode())
|
|
getDebugLogger() << ")\n";
|
|
|
|
return done(/*isSuccess=*/!prevFailed);
|
|
}
|
|
|
|
// If conjunction step is re-taken and there should be
|
|
// active choice, let's see if it has be solved or not.
|
|
assert(ActiveChoice);
|
|
|
|
// Rewind back the constraint system information.
|
|
ActiveChoice.reset();
|
|
|
|
if (CS.isDebugMode())
|
|
getDebugLogger() << ")\n";
|
|
|
|
// Check whether it makes sense to continue solving
|
|
// this conjunction. Note that for conjunction constraint
|
|
// to be considered a success all of its elements have
|
|
// to produce a single solution.
|
|
{
|
|
auto failConjunction = [&]() {
|
|
markAsFailed();
|
|
return done(/*isSuccess=*/false);
|
|
};
|
|
|
|
if (prevFailed)
|
|
return failConjunction();
|
|
|
|
// There could be a local ambiguity related to
|
|
// the current element, let's try to resolve it.
|
|
if (Solutions.size() > 1)
|
|
filterSolutions(Solutions, /*minimize=*/true);
|
|
|
|
// In diagnostic mode we need to stop a conjunction
|
|
// but consider it successful if there are:
|
|
//
|
|
// - More than one solution for this element. Ambiguity
|
|
// needs to get propagated back to the outer context
|
|
// to be diagnosed.
|
|
// - A single solution that requires one or more fixes,
|
|
// continuing would result in more errors associated
|
|
// with the failed element.
|
|
if (CS.shouldAttemptFixes()) {
|
|
if (Solutions.size() > 1)
|
|
Producer.markExhausted();
|
|
|
|
if (Solutions.size() == 1) {
|
|
auto score = Solutions.front().getFixedScore();
|
|
if (score.Data[SK_Fix] > 0)
|
|
Producer.markExhausted();
|
|
}
|
|
} else if (Solutions.size() != 1) {
|
|
return failConjunction();
|
|
}
|
|
|
|
// Since there is only one solution, let's
|
|
// consider this element as solved.
|
|
AnySolved = true;
|
|
}
|
|
|
|
// After all of the elements have been checked, let's
|
|
// see if conjunction was successful and if so, continue
|
|
// solving along the current path until complete
|
|
// solution is reached.
|
|
if (Producer.isExhausted()) {
|
|
// If one of the elements failed, that means while
|
|
// conjunction failed with it.
|
|
if (HadFailure)
|
|
return done(/*isSuccess=*/false);
|
|
|
|
// If this was an isolated conjunction solver needs to do
|
|
// the following:
|
|
//
|
|
// a. Return all of the previously out-of-scope constraints;
|
|
// b. Apply solution reached for the conjunction;
|
|
// c. Continue solving along this path to reach a
|
|
// complete solution using type information
|
|
// inferred from this step.
|
|
if (Conjunction->isIsolated()) {
|
|
if (CS.isDebugMode()) {
|
|
auto &log = getDebugLogger();
|
|
log << "(applying conjunction result to outer context\n";
|
|
}
|
|
|
|
assert(
|
|
Snapshot &&
|
|
"Isolated conjunction requires a snapshot of the constraint system");
|
|
|
|
// In diagnostic mode it's valid for an element to have
|
|
// multiple solutions. Ambiguity just needs to be merged
|
|
// into the outer context to be property diagnosed.
|
|
if (Solutions.size() > 1) {
|
|
assert(CS.shouldAttemptFixes());
|
|
|
|
// Restore all outer type variables, constraints
|
|
// and scoring information.
|
|
Snapshot.reset();
|
|
|
|
// Apply all of the information deduced from the
|
|
// conjunction (up to the point of ambiguity)
|
|
// back to the outer context and form a joined solution.
|
|
unsigned numSolutions = 0;
|
|
for (auto &solution : Solutions) {
|
|
ConstraintSystem::SolverScope scope(CS);
|
|
|
|
CS.applySolution(solution);
|
|
|
|
// `applySolution` changes best/current scores
|
|
// of the constraint system, so they have to be
|
|
// restored right afterwards because score of the
|
|
// element does contribute to the overall score.
|
|
restoreBestScore();
|
|
restoreCurrentScore(solution.getFixedScore());
|
|
|
|
// Transform all of the unbound outer variables into
|
|
// placeholders since we are not going to solve for
|
|
// each ambiguous solution.
|
|
{
|
|
unsigned numHoles = 0;
|
|
for (auto *typeVar : CS.getTypeVariables()) {
|
|
if (!typeVar->getImpl().hasRepresentativeOrFixed()) {
|
|
CS.assignFixedType(
|
|
typeVar, PlaceholderType::get(CS.getASTContext(), typeVar));
|
|
++numHoles;
|
|
}
|
|
}
|
|
CS.increaseScore(SK_Hole, numHoles);
|
|
}
|
|
|
|
if (CS.worseThanBestSolution())
|
|
continue;
|
|
|
|
// Note that `worseThanBestSolution` isn't checked
|
|
// here because `Solutions` were pre-filtered, and
|
|
// outer score is the same for all of them.
|
|
OuterSolutions.push_back(CS.finalize());
|
|
++numSolutions;
|
|
}
|
|
|
|
return done(/*isSuccess=*/numSolutions > 0);
|
|
}
|
|
|
|
auto solution = Solutions.pop_back_val();
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auto score = solution.getFixedScore();
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|
|
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// Restore outer type variables and prepare to solve
|
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// constraints associated with outer context together
|
|
// with information deduced from the conjunction.
|
|
Snapshot->setupOuterContext(std::move(solution));
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|
|
|
// Pretend that conjunction never happened.
|
|
restoreOuterState(score);
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|
|
|
// Now that all of the information from the conjunction has
|
|
// been applied, let's attempt to solve the outer scope.
|
|
return suspend(std::make_unique<SplitterStep>(CS, OuterSolutions));
|
|
}
|
|
}
|
|
|
|
// Attempt next conjunction choice.
|
|
return take(prevFailed);
|
|
}
|
|
|
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void ConjunctionStep::restoreOuterState(const Score &solutionScore) const {
|
|
// Restore best/current score, since upcoming step is going to
|
|
// work with outer scope in relation to the conjunction.
|
|
restoreBestScore();
|
|
restoreCurrentScore(solutionScore);
|
|
|
|
// Active all of the previously out-of-scope constraints
|
|
// because conjunction can propagate type information up
|
|
// by allowing its elements to reference type variables
|
|
// from outer scope (e.g. variable declarations and or captures).
|
|
{
|
|
CS.ActiveConstraints.splice(CS.ActiveConstraints.end(),
|
|
CS.InactiveConstraints);
|
|
for (auto &constraint : CS.ActiveConstraints)
|
|
constraint.setActive(true);
|
|
}
|
|
}
|