| |
| #include <algorithm> |
| #include <cstdint> |
| #include <map> |
| #include <random> |
| #include <string> |
| #include <utility> |
| #include <vector> |
| |
| #include "CartesianBenchmarks.hpp" |
| #include "GenerateInput.hpp" |
| #include "benchmark/benchmark.h" |
| #include "test_macros.h" |
| |
| namespace { |
| |
| enum class ValueType { Uint32, String }; |
| struct AllValueTypes : EnumValuesAsTuple<AllValueTypes, ValueType, 2> { |
| static constexpr const char* Names[] = {"uint32", "string"}; |
| }; |
| |
| template <class V> |
| using Value = |
| std::conditional_t<V() == ValueType::Uint32, uint32_t, std::string>; |
| |
| enum class Order { |
| Random, |
| Ascending, |
| Descending, |
| SingleElement, |
| PipeOrgan, |
| Heap |
| }; |
| struct AllOrders : EnumValuesAsTuple<AllOrders, Order, 6> { |
| static constexpr const char* Names[] = {"Random", "Ascending", |
| "Descending", "SingleElement", |
| "PipeOrgan", "Heap"}; |
| }; |
| |
| void fillValues(std::vector<uint32_t>& V, size_t N, Order O) { |
| if (O == Order::SingleElement) { |
| V.resize(N, 0); |
| } else { |
| while (V.size() < N) |
| V.push_back(V.size()); |
| } |
| } |
| |
| void fillValues(std::vector<std::string>& V, size_t N, Order O) { |
| |
| if (O == Order::SingleElement) { |
| V.resize(N, getRandomString(1024)); |
| } else { |
| while (V.size() < N) |
| V.push_back(getRandomString(1024)); |
| } |
| } |
| |
| template <class T> |
| void sortValues(T& V, Order O) { |
| assert(std::is_sorted(V.begin(), V.end())); |
| switch (O) { |
| case Order::Random: { |
| std::random_device R; |
| std::mt19937 M(R()); |
| std::shuffle(V.begin(), V.end(), M); |
| break; |
| } |
| case Order::Ascending: |
| std::sort(V.begin(), V.end()); |
| break; |
| case Order::Descending: |
| std::sort(V.begin(), V.end(), std::greater<>()); |
| break; |
| case Order::SingleElement: |
| // Nothing to do |
| break; |
| case Order::PipeOrgan: |
| std::sort(V.begin(), V.end()); |
| std::reverse(V.begin() + V.size() / 2, V.end()); |
| break; |
| case Order::Heap: |
| std::make_heap(V.begin(), V.end()); |
| break; |
| } |
| } |
| |
| template <class ValueType> |
| std::vector<std::vector<Value<ValueType> > > makeOrderedValues(size_t N, |
| Order O) { |
| // Let's make sure that all random sequences of the same size are the same. |
| // That way we can compare the different algorithms with the same input. |
| static std::map<std::pair<size_t, Order>, std::vector<Value<ValueType> > > |
| Cached; |
| |
| auto& Values = Cached[{N, O}]; |
| if (Values.empty()) { |
| fillValues(Values, N, O); |
| sortValues(Values, O); |
| }; |
| const size_t NumCopies = std::max(size_t{1}, 1000 / N); |
| return { NumCopies, Values }; |
| } |
| |
| template <class T, class U> |
| TEST_ALWAYS_INLINE void resetCopies(benchmark::State& state, T& Copies, |
| U& Orig) { |
| state.PauseTiming(); |
| for (auto& Copy : Copies) |
| Copy = Orig; |
| state.ResumeTiming(); |
| } |
| |
| template <class ValueType, class F> |
| void runOpOnCopies(benchmark::State& state, size_t Quantity, Order O, |
| bool CountElements, F f) { |
| auto Copies = makeOrderedValues<ValueType>(Quantity, O); |
| const auto Orig = Copies[0]; |
| |
| const size_t Batch = CountElements ? Copies.size() * Quantity : Copies.size(); |
| while (state.KeepRunningBatch(Batch)) { |
| for (auto& Copy : Copies) { |
| f(Copy); |
| benchmark::DoNotOptimize(Copy); |
| } |
| resetCopies(state, Copies, Orig); |
| } |
| } |
| |
| template <class ValueType, class Order> |
| struct Sort { |
| size_t Quantity; |
| |
| void run(benchmark::State& state) const { |
| runOpOnCopies<ValueType>(state, Quantity, Order(), false, [](auto& Copy) { |
| std::sort(Copy.begin(), Copy.end()); |
| }); |
| } |
| |
| bool skip() const { return Order() == ::Order::Heap; } |
| |
| std::string name() const { |
| return "BM_Sort" + ValueType::name() + Order::name() + "_" + |
| std::to_string(Quantity); |
| }; |
| }; |
| |
| template <class ValueType, class Order> |
| struct StableSort { |
| size_t Quantity; |
| |
| void run(benchmark::State& state) const { |
| runOpOnCopies<ValueType>(state, Quantity, Order(), false, [](auto& Copy) { |
| std::stable_sort(Copy.begin(), Copy.end()); |
| }); |
| } |
| |
| bool skip() const { return Order() == ::Order::Heap; } |
| |
| std::string name() const { |
| return "BM_StableSort" + ValueType::name() + Order::name() + "_" + |
| std::to_string(Quantity); |
| }; |
| }; |
| |
| template <class ValueType, class Order> |
| struct MakeHeap { |
| size_t Quantity; |
| |
| void run(benchmark::State& state) const { |
| runOpOnCopies<ValueType>(state, Quantity, Order(), false, [](auto& Copy) { |
| std::make_heap(Copy.begin(), Copy.end()); |
| }); |
| } |
| |
| std::string name() const { |
| return "BM_MakeHeap" + ValueType::name() + Order::name() + "_" + |
| std::to_string(Quantity); |
| }; |
| }; |
| |
| template <class ValueType> |
| struct SortHeap { |
| size_t Quantity; |
| |
| void run(benchmark::State& state) const { |
| runOpOnCopies<ValueType>( |
| state, Quantity, Order::Heap, false, |
| [](auto& Copy) { std::sort_heap(Copy.begin(), Copy.end()); }); |
| } |
| |
| std::string name() const { |
| return "BM_SortHeap" + ValueType::name() + "_" + std::to_string(Quantity); |
| }; |
| }; |
| |
| template <class ValueType, class Order> |
| struct MakeThenSortHeap { |
| size_t Quantity; |
| |
| void run(benchmark::State& state) const { |
| runOpOnCopies<ValueType>(state, Quantity, Order(), false, [](auto& Copy) { |
| std::make_heap(Copy.begin(), Copy.end()); |
| std::sort_heap(Copy.begin(), Copy.end()); |
| }); |
| } |
| |
| std::string name() const { |
| return "BM_MakeThenSortHeap" + ValueType::name() + Order::name() + "_" + |
| std::to_string(Quantity); |
| }; |
| }; |
| |
| template <class ValueType, class Order> |
| struct PushHeap { |
| size_t Quantity; |
| |
| void run(benchmark::State& state) const { |
| runOpOnCopies<ValueType>(state, Quantity, Order(), true, [](auto& Copy) { |
| for (auto I = Copy.begin(), E = Copy.end(); I != E; ++I) { |
| std::push_heap(Copy.begin(), I + 1); |
| } |
| }); |
| } |
| |
| bool skip() const { return Order() == ::Order::Heap; } |
| |
| std::string name() const { |
| return "BM_PushHeap" + ValueType::name() + Order::name() + "_" + |
| std::to_string(Quantity); |
| }; |
| }; |
| |
| template <class ValueType> |
| struct PopHeap { |
| size_t Quantity; |
| |
| void run(benchmark::State& state) const { |
| runOpOnCopies<ValueType>(state, Quantity, Order(), true, [](auto& Copy) { |
| for (auto B = Copy.begin(), I = Copy.end(); I != B; --I) { |
| std::pop_heap(B, I); |
| } |
| }); |
| } |
| |
| std::string name() const { |
| return "BM_PopHeap" + ValueType::name() + "_" + std::to_string(Quantity); |
| }; |
| }; |
| |
| } // namespace |
| |
| int main(int argc, char** argv) { |
| benchmark::Initialize(&argc, argv); |
| if (benchmark::ReportUnrecognizedArguments(argc, argv)) |
| return 1; |
| |
| const std::vector<size_t> Quantities = {1 << 0, 1 << 2, 1 << 4, 1 << 6, |
| 1 << 8, 1 << 10, 1 << 14, 1 << 18}; |
| makeCartesianProductBenchmark<Sort, AllValueTypes, AllOrders>(Quantities); |
| makeCartesianProductBenchmark<StableSort, AllValueTypes, AllOrders>( |
| Quantities); |
| makeCartesianProductBenchmark<MakeHeap, AllValueTypes, AllOrders>(Quantities); |
| makeCartesianProductBenchmark<SortHeap, AllValueTypes>(Quantities); |
| makeCartesianProductBenchmark<MakeThenSortHeap, AllValueTypes, AllOrders>( |
| Quantities); |
| makeCartesianProductBenchmark<PushHeap, AllValueTypes, AllOrders>(Quantities); |
| makeCartesianProductBenchmark<PopHeap, AllValueTypes>(Quantities); |
| benchmark::RunSpecifiedBenchmarks(); |
| } |