Files
RedBear-OS/local/recipes/dev/libclc/source/libcxx/test/benchmarks/CartesianBenchmarks.h
T
vasilito cb424d7448 build: static patch-sanity linter (shift-left the malformed-patch class)
verify-patch-sanity.py validates every active recipe .patch has internally-
consistent hunk line counts — catching the 'malformed patch at line N' failure
at commit/CI/preflight time instead of hours into a cook. This cycle hit that
class three times (qtwaylandscanner, sddm, xwayland), each only discovered when
cookbook tried to apply the patch.

Running it across the repo found 29 latent malformed patches (validated against
GNU patch: e.g. relibc/P3-sysv-ipc reproduces 'malformed patch at line 22').
They were harmless only because they sit in vendored recipes (baked, not re-
applied) — but would fail on any version-bump re-derivation. --fix recounts the
hunk headers (body untouched) and repaired all 29.

Wired into build-preflight.sh (Phase 1.0D) and redbear-ci.yml, with a unit test
(test-patch-sanity.sh). Skips archived/legacy trees and unvalidatable formats
(empty placeholders, bare-@@ git hunks).
2026-08-01 05:13:02 +03:00

128 lines
4.4 KiB
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
//
//===----------------------------------------------------------------------===//
#include <string>
#include <tuple>
#include <type_traits>
#include <vector>
#include "benchmark/benchmark.h"
#include "test_macros.h"
namespace internal {
template <class D, class E, size_t I>
struct EnumValue : std::integral_constant<E, static_cast<E>(I)> {
static std::string name() { return std::string("_") + D::Names[I]; }
};
template <class D, class E, size_t... Idxs>
constexpr auto makeEnumValueTuple(std::index_sequence<Idxs...>) {
return std::make_tuple(EnumValue<D, E, Idxs>{}...);
}
template <class B>
auto skip(const B& Bench, int) -> decltype(Bench.skip()) {
return Bench.skip();
}
template <class B>
auto skip(const B&, char) {
return false;
}
template <class B, class Args, size_t... Is>
void makeBenchmarkFromValuesImpl(const Args& A, std::index_sequence<Is...>) {
for (auto& V : A) {
B Bench{std::get<Is>(V)...};
if (!internal::skip(Bench, 0)) {
benchmark::RegisterBenchmark(Bench.name().c_str(), [=](benchmark::State& S) { Bench.run(S); });
}
}
}
template <class B, class... Args>
void makeBenchmarkFromValues(const std::vector<std::tuple<Args...> >& A) {
makeBenchmarkFromValuesImpl<B>(A, std::index_sequence_for<Args...>());
}
template <template <class...> class B, class Args, class... U>
void makeBenchmarkImpl(const Args& A, std::tuple<U...>) {
makeBenchmarkFromValues<B<U...> >(A);
}
template <template <class...> class B, class Args, class... U, class... T, class... Tuples>
void makeBenchmarkImpl(const Args& A, std::tuple<U...>, std::tuple<T...>, Tuples... rest) {
(internal::makeBenchmarkImpl<B>(A, std::tuple<U..., T>(), rest...), ...);
}
template <class R, class T>
void allValueCombinations(R& Result, const T& Final) {
return Result.push_back(Final);
}
template <class R, class T, class V, class... Vs>
void allValueCombinations(R& Result, const T& Prev, const V& Value, const Vs&... Values) {
for (const auto& E : Value) {
allValueCombinations(Result, std::tuple_cat(Prev, std::make_tuple(E)), Values...);
}
}
} // namespace internal
// CRTP class that enables using enum types as a dimension for
// makeCartesianProductBenchmark below.
// The type passed to `B` will be a std::integral_constant<E, e>, with the
// additional static function `name()` that returns the stringified name of the
// label.
//
// Eg:
// enum class MyEnum { A, B };
// struct AllMyEnum : EnumValuesAsTuple<AllMyEnum, MyEnum, 2> {
// static constexpr absl::string_view Names[] = {"A", "B"};
// };
template <class Derived, class EnumType, size_t NumLabels>
using EnumValuesAsTuple =
decltype(internal::makeEnumValueTuple<Derived, EnumType>(std::make_index_sequence<NumLabels>{}));
// Instantiates B<T0, T1, ..., TN> where <Ti...> are the combinations in the
// cartesian product of `Tuples...`, and pass (arg0, ..., argN) as constructor
// arguments where `(argi...)` are the combination in the cartesian product of
// the runtime values of `A...`.
// B<T...> requires:
// - std::string name(args...): The name of the benchmark.
// - void run(benchmark::State&, args...): The body of the benchmark.
// It can also optionally provide:
// - bool skip(args...): When `true`, skips the combination. Default is false.
//
// Returns int to facilitate registration. The return value is unspecified.
template <template <class...> class B, class... Tuples, class... Args>
int makeCartesianProductBenchmark(const Args&... A) {
std::vector<std::tuple<typename Args::value_type...> > V;
internal::allValueCombinations(V, std::tuple<>(), A...);
internal::makeBenchmarkImpl<B>(V, std::tuple<>(), Tuples()...);
return 0;
}
template <class B, class... Args>
int makeCartesianProductBenchmark(const Args&... A) {
std::vector<std::tuple<typename Args::value_type...> > V;
internal::allValueCombinations(V, std::tuple<>(), A...);
internal::makeBenchmarkFromValues<B>(V);
return 0;
}
// When `opaque` is true, this function hides the runtime state of `value` from
// the optimizer.
// It returns `value`.
template <class T>
TEST_ALWAYS_INLINE inline T maybeOpaque(T value, bool opaque) {
if (opaque)
benchmark::DoNotOptimize(value);
return value;
}