cb424d7448
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).
175 lines
5.2 KiB
C++
175 lines
5.2 KiB
C++
//===----------------------------------------------------------------------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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// UNSUPPORTED: c++03, c++11, c++14, c++17
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#include <filesystem>
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#include "GenerateInput.h"
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#include "benchmark/benchmark.h"
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#include "test_iterators.h"
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namespace fs = std::filesystem;
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static const size_t TestNumInputs = 1024;
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template <class GenInputs>
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void BM_PathConstructString(benchmark::State& st, GenInputs gen) {
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using fs::path;
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const auto in = gen(st.range(0));
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path PP;
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for (auto& Part : in)
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PP /= Part;
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benchmark::DoNotOptimize(PP.native().data());
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while (st.KeepRunning()) {
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const path P(PP.native());
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benchmark::DoNotOptimize(P.native().data());
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}
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st.SetComplexityN(st.range(0));
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}
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BENCHMARK_CAPTURE(BM_PathConstructString, large_string, getRandomStringInputs)->Range(8, TestNumInputs)->Complexity();
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template <class GenInputs>
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void BM_PathConstructCStr(benchmark::State& st, GenInputs gen) {
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using fs::path;
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const auto in = gen(st.range(0));
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path PP;
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for (auto& Part : in)
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PP /= Part;
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benchmark::DoNotOptimize(PP.native().data());
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while (st.KeepRunning()) {
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const path P(PP.native().c_str());
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benchmark::DoNotOptimize(P.native().data());
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}
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}
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BENCHMARK_CAPTURE(BM_PathConstructCStr, large_string, getRandomStringInputs)->Arg(TestNumInputs);
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template <template <class...> class ItType, class GenInputs>
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void BM_PathConstructIter(benchmark::State& st, GenInputs gen) {
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using fs::path;
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using Iter = ItType<std::string::const_iterator>;
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const auto in = gen(st.range(0));
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path PP;
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for (auto& Part : in)
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PP /= Part;
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auto Start = Iter(PP.native().begin());
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auto End = Iter(PP.native().end());
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benchmark::DoNotOptimize(PP.native().data());
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benchmark::DoNotOptimize(Start);
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benchmark::DoNotOptimize(End);
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while (st.KeepRunning()) {
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const path P(Start, End);
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benchmark::DoNotOptimize(P.native().data());
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}
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st.SetComplexityN(st.range(0));
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}
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template <class GenInputs>
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void BM_PathConstructInputIter(benchmark::State& st, GenInputs gen) {
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BM_PathConstructIter<cpp17_input_iterator>(st, gen);
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}
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template <class GenInputs>
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void BM_PathConstructForwardIter(benchmark::State& st, GenInputs gen) {
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BM_PathConstructIter<forward_iterator>(st, gen);
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}
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BENCHMARK_CAPTURE(BM_PathConstructInputIter, large_string, getRandomStringInputs)
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->Range(8, TestNumInputs)
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->Complexity();
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BENCHMARK_CAPTURE(BM_PathConstructForwardIter, large_string, getRandomStringInputs)
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->Range(8, TestNumInputs)
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->Complexity();
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template <class GenInputs>
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void BM_PathIterateMultipleTimes(benchmark::State& st, GenInputs gen) {
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using fs::path;
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const auto in = gen(st.range(0));
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path PP;
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for (auto& Part : in)
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PP /= Part;
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benchmark::DoNotOptimize(PP.native().data());
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while (st.KeepRunning()) {
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for (auto const& E : PP) {
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benchmark::DoNotOptimize(E.native().data());
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}
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benchmark::ClobberMemory();
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}
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st.SetComplexityN(st.range(0));
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}
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BENCHMARK_CAPTURE(BM_PathIterateMultipleTimes, iterate_elements, getRandomStringInputs)
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->Range(8, TestNumInputs)
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->Complexity();
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template <class GenInputs>
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void BM_PathIterateOnce(benchmark::State& st, GenInputs gen) {
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using fs::path;
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const auto in = gen(st.range(0));
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path PP;
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for (auto& Part : in)
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PP /= Part;
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benchmark::DoNotOptimize(PP.native().data());
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while (st.KeepRunning()) {
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const path P = PP.native();
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for (auto const& E : P) {
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benchmark::DoNotOptimize(E.native().data());
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}
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benchmark::ClobberMemory();
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}
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st.SetComplexityN(st.range(0));
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}
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BENCHMARK_CAPTURE(BM_PathIterateOnce, iterate_elements, getRandomStringInputs)->Range(8, TestNumInputs)->Complexity();
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template <class GenInputs>
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void BM_PathIterateOnceBackwards(benchmark::State& st, GenInputs gen) {
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using fs::path;
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const auto in = gen(st.range(0));
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path PP;
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for (auto& Part : in)
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PP /= Part;
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benchmark::DoNotOptimize(PP.native().data());
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while (st.KeepRunning()) {
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const path P = PP.native();
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const auto B = P.begin();
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auto I = P.end();
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while (I != B) {
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--I;
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benchmark::DoNotOptimize(*I);
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}
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benchmark::DoNotOptimize(*I);
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}
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}
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BENCHMARK_CAPTURE(BM_PathIterateOnceBackwards, iterate_elements, getRandomStringInputs)->Arg(TestNumInputs);
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static fs::path getRandomPaths(int NumParts, int PathLen) {
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fs::path Result;
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while (NumParts--) {
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std::string Part = getRandomString(PathLen);
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Result /= Part;
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}
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return Result;
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}
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template <class GenInput>
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void BM_LexicallyNormal(benchmark::State& st, GenInput gen, size_t PathLen) {
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using fs::path;
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auto In = gen(st.range(0), PathLen);
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benchmark::DoNotOptimize(&In);
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while (st.KeepRunning()) {
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benchmark::DoNotOptimize(In.lexically_normal());
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}
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st.SetComplexityN(st.range(0));
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}
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BENCHMARK_CAPTURE(BM_LexicallyNormal, small_path, getRandomPaths, /*PathLen*/ 5)
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->RangeMultiplier(2)
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->Range(2, 256)
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->Complexity();
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BENCHMARK_CAPTURE(BM_LexicallyNormal, large_path, getRandomPaths, /*PathLen*/ 32)
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->RangeMultiplier(2)
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->Range(2, 256)
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->Complexity();
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BENCHMARK_MAIN();
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