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carbon-lang/explorer/interpreter/pattern_analysis.cpp
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Chandler Carruth 01e12111a8 Auto-update pre-commit repositories and fix. (#3427)
The version of `flake8` was too old to support with Python 3.12 -- there
is new F-string support that caused false positives sadly. The updated
version has fixes for all of these.

This in turn updates codespell which has picked up several new fixes
that actually fire in our code, so also fix everything. While we don't
do more in-depth updates to old proposals, similar to simply fixing
broken links, fixing automatically detected typos seems scalable and
fine.

All edits were automatically generated here.
2023-11-28 17:17:28 +00:00

314 lines
11 KiB
C++

// Part of the Carbon Language project, under the Apache License v2.0 with LLVM
// Exceptions. See /LICENSE for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
#include "explorer/interpreter/pattern_analysis.h"
#include <set>
using llvm::cast;
using llvm::dyn_cast;
using llvm::isa;
namespace Carbon {
auto AbstractPattern::kind() const -> Kind {
if (const auto* pattern = value_.dyn_cast<const Pattern*>()) {
return Compound;
}
if (const auto* value = value_.dyn_cast<const Value*>()) {
if (isa<TupleValue, AlternativeValue, BoolValue>(value)) {
return Compound;
}
return Primitive;
}
CARBON_CHECK(value_.is<const WildcardTag*>());
return Wildcard;
}
auto AbstractPattern::discriminator() const -> std::string_view {
CARBON_CHECK(kind() == Compound);
if (const auto* pattern = value_.dyn_cast<const Pattern*>()) {
if (const auto* alt_pattern = dyn_cast<AlternativePattern>(pattern)) {
return alt_pattern->alternative_name();
}
} else if (const auto* value = value_.dyn_cast<const Value*>()) {
if (const auto* alt = dyn_cast<AlternativeValue>(value)) {
return alt->alternative().name();
} else if (const auto* bool_val = dyn_cast<BoolValue>(value)) {
return bool_val->value() ? "true" : "false";
}
}
return {};
}
auto AbstractPattern::elements_size() const -> int {
if (const auto* pattern = value_.dyn_cast<const Pattern*>()) {
if (const auto* tuple_pattern = dyn_cast<TuplePattern>(pattern)) {
return tuple_pattern->fields().size();
} else if (isa<AlternativePattern>(pattern)) {
return 1;
}
} else if (const auto* value = value_.dyn_cast<const Value*>()) {
if (const auto* tuple = dyn_cast<TupleValue>(value)) {
return tuple->elements().size();
} else if (const auto* alt = dyn_cast<AlternativeValue>(value)) {
return 1;
}
}
return 0;
}
void AbstractPattern::AppendElementsTo(
std::vector<AbstractPattern>& out) const {
if (const auto* pattern = value_.dyn_cast<const Pattern*>()) {
if (const auto* tuple_pattern = dyn_cast<TuplePattern>(pattern)) {
auto fields = tuple_pattern->fields();
out.insert(out.end(), fields.begin(), fields.end());
} else if (const auto* alt_pattern =
dyn_cast<AlternativePattern>(pattern)) {
out.push_back(&alt_pattern->arguments());
}
} else if (const auto* value = value_.dyn_cast<const Value*>()) {
if (const auto* tuple = dyn_cast<TupleValue>(value)) {
const auto* tuple_type = cast<TupleType>(type_);
CARBON_CHECK(tuple->elements().size() == tuple_type->elements().size());
for (size_t i = 0; i != tuple->elements().size(); ++i) {
out.push_back(
AbstractPattern(tuple->elements()[i], tuple_type->elements()[i]));
}
} else if (const auto* alt = dyn_cast<AlternativeValue>(value)) {
if (auto arg = alt->argument()) {
out.push_back(AbstractPattern(
*arg, *alt->alternative().parameters_static_type()));
} else {
// There's no value to match for this alternative, so just insert a
// wildcard.
out.push_back(AbstractPattern::MakeWildcard());
}
}
}
}
auto AbstractPattern::value() const -> const Value& {
CARBON_CHECK(kind() == Primitive);
return *value_.get<const Value*>();
}
auto AbstractPattern::type() const -> const Value& {
CARBON_CHECK(kind() != Wildcard);
return *type_;
}
void AbstractPattern::Set(Nonnull<const Pattern*> pattern) {
type_ = &pattern->static_type();
switch (pattern->kind()) {
case PatternKind::AddrPattern:
case PatternKind::AutoPattern:
case PatternKind::BindingPattern:
case PatternKind::GenericBinding:
value_ = static_cast<const WildcardTag*>(nullptr);
break;
case PatternKind::TuplePattern:
case PatternKind::AlternativePattern:
value_ = pattern;
break;
case PatternKind::ExpressionPattern:
value_ = &pattern->value();
break;
case PatternKind::VarPattern:
Set(&cast<VarPattern>(pattern)->pattern());
break;
}
}
auto PatternMatrix::IsUseful(llvm::ArrayRef<AbstractPattern> pattern,
int max_exponential_depth) const -> bool {
if (matrix_.empty()) {
return true;
}
CARBON_CHECK(pattern.size() == matrix_[0].size());
if (matrix_[0].empty()) {
return false;
}
switch (pattern[0].kind()) {
case AbstractPattern::Wildcard: {
auto discrim = FirstColumnDiscriminators();
// Check if we hit the depth limit. If so, we act as if the
// constructors present in this position are not exhaustive, that is,
// as if the type we're matching has some other constructor not
// corresponding to anything written in the pattern in this position.
// This can lead us to conclude that a pattern is useful if it is not,
// and that a set of patterns is not exhaustive when it is.
int new_depth =
max_exponential_depth - (discrim.found.size() > 1 ? 1 : 0);
if (!discrim.any_missing && new_depth >= 0) {
for (auto found : discrim.found) {
if (Specialize(found).IsUseful(*SpecializeRow(pattern, found),
new_depth)) {
return true;
}
}
return false;
}
return Default().IsUseful(pattern.slice(1), max_exponential_depth);
}
case AbstractPattern::Compound: {
DiscriminatorInfo discrim = {.discriminator = pattern[0].discriminator(),
.size = pattern[0].elements_size()};
return Specialize(discrim).IsUseful(*SpecializeRow(pattern, discrim),
max_exponential_depth);
}
case AbstractPattern::Primitive: {
return Specialize(pattern[0].value())
.IsUseful(pattern.slice(1), max_exponential_depth);
}
}
}
auto PatternMatrix::FirstColumnDiscriminators() const -> DiscriminatorSet {
std::set<std::string_view> discrims;
std::optional<int> num_discrims;
std::optional<int> elem_size;
for (const auto& row : matrix_) {
CARBON_CHECK(!row.empty());
switch (row[0].kind()) {
case AbstractPattern::Wildcard:
continue;
case AbstractPattern::Compound: {
const Value& type = row[0].type();
if (const auto* tuple = dyn_cast<TupleType>(&type)) {
// If we find a tuple match, we've found all constructors (there's
// only one!) and none were missing.
return {
.found = {{.discriminator = {},
.size = static_cast<int>(tuple->elements().size())}},
.any_missing = false};
} else if (const auto* choice = dyn_cast<ChoiceType>(&type)) {
num_discrims = choice->declaration().alternatives().size();
elem_size = 1;
} else if (isa<BoolType>(type)) {
// `bool` behaves like a choice type with two alternatives,
// and with no nested patterns for either of them.
num_discrims = 2;
elem_size = 0;
} else {
llvm_unreachable("unexpected compound type");
}
discrims.insert(row[0].discriminator());
break;
}
case AbstractPattern::Primitive: {
// We assume that primitive value matches are always incomplete, even
// for types like `i8` where a covering match might be possible.
return {.found = {}, .any_missing = true};
}
}
}
if (!num_discrims || *num_discrims != static_cast<int>(discrims.size())) {
return {.found = {}, .any_missing = true};
}
DiscriminatorSet result = {.found = {}, .any_missing = false};
result.found.reserve(discrims.size());
for (auto s : discrims) {
result.found.push_back({.discriminator = s, .size = *elem_size});
}
return result;
}
auto PatternMatrix::SpecializeRow(llvm::ArrayRef<AbstractPattern> row,
DiscriminatorInfo discriminator)
-> std::optional<std::vector<AbstractPattern>> {
CARBON_CHECK(!row.empty());
std::vector<AbstractPattern> new_row;
switch (row[0].kind()) {
case AbstractPattern::Wildcard:
new_row.reserve(discriminator.size + row.size() - 1);
new_row.insert(new_row.end(), discriminator.size,
AbstractPattern::MakeWildcard());
break;
case AbstractPattern::Compound: {
if (row[0].discriminator() != discriminator.discriminator) {
return std::nullopt;
}
CARBON_CHECK(static_cast<int>(row[0].elements_size()) ==
discriminator.size);
new_row.reserve(discriminator.size + row.size() - 1);
row[0].AppendElementsTo(new_row);
break;
}
case AbstractPattern::Primitive:
// These cases should be rejected by the type checker.
llvm_unreachable("matched primitive against compound");
}
new_row.insert(new_row.end(), row.begin() + 1, row.end());
return std::move(new_row);
}
auto PatternMatrix::Specialize(DiscriminatorInfo discriminator) const
-> PatternMatrix {
PatternMatrix specialized;
for (const auto& row : matrix_) {
// TODO: If we add support for "or" patterns, specialization might
// produce multiple rows here.
if (auto new_row = SpecializeRow(row, discriminator)) {
specialized.Add(std::move(new_row.value()));
}
}
return specialized;
}
// Specialize the pattern matrix for the case where the first value is known
// to be `value`, and is not matched.
auto PatternMatrix::Specialize(const Value& value) const -> PatternMatrix {
PatternMatrix specialized;
for (const auto& row : matrix_) {
CARBON_CHECK(!row.empty());
switch (row[0].kind()) {
case AbstractPattern::Wildcard:
break;
case AbstractPattern::Compound:
llvm_unreachable("matched compound against primitive");
case AbstractPattern::Primitive:
// TODO: Use an equality context here?
if (!ValueEqual(&row[0].value(), &value, std::nullopt)) {
continue;
}
break;
}
specialized.Add(std::vector<AbstractPattern>(row.begin() + 1, row.end()));
}
return specialized;
}
// Specialize the pattern matrix for the case where the first value uses a
// discriminator matching none of the non-wildcard patterns.
auto PatternMatrix::Default() const -> PatternMatrix {
PatternMatrix default_matrix;
for (const auto& row : matrix_) {
CARBON_CHECK(!row.empty());
switch (row[0].kind()) {
case AbstractPattern::Wildcard:
default_matrix.Add(
std::vector<AbstractPattern>(row.begin() + 1, row.end()));
break;
case AbstractPattern::Compound:
case AbstractPattern::Primitive:
break;
}
}
return default_matrix;
}
} // namespace Carbon