| 1 | //===----------------------------------------------------------------------===// |
| 2 | // |
| 3 | // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. |
| 4 | // See https://llvm.org/LICENSE.txt for license information. |
| 5 | // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception |
| 6 | // |
| 7 | //===----------------------------------------------------------------------===// |
| 8 | |
| 9 | // UNSUPPORTED: c++03, c++11, c++14, c++17 |
| 10 | |
| 11 | #include <algorithm> |
| 12 | #include <array> |
| 13 | #include <cstddef> |
| 14 | #include <deque> |
| 15 | #include <string> |
| 16 | #include <vector> |
| 17 | |
| 18 | #include "benchmark/benchmark.h" |
| 19 | #include "common.h" |
| 20 | |
| 21 | int main(int argc, char** argv) { |
| 22 | auto std_partial_sort = [](auto first, auto mid, auto last) { return std::partial_sort(first, mid, last); }; |
| 23 | |
| 24 | // Benchmark {std,ranges}::partial_sort on various types of data. We always partially sort only |
| 25 | // half of the full range. |
| 26 | // |
| 27 | // We perform this benchmark in a batch because we need to restore the |
| 28 | // state of the container after the operation. |
| 29 | // |
| 30 | // Also note that we intentionally don't benchmark the predicated version of the algorithm |
| 31 | // because that makes the benchmark run too slowly. |
| 32 | { |
| 33 | auto bm = []<class Container>(std::string name, auto partial_sort, auto generate_data) { |
| 34 | benchmark::RegisterBenchmark( |
| 35 | name, |
| 36 | [partial_sort, generate_data](auto& st) { |
| 37 | std::size_t const size = st.range(0); |
| 38 | constexpr std::size_t BatchSize = 32; |
| 39 | using ValueType = typename Container::value_type; |
| 40 | std::vector<ValueType> data = generate_data(size); |
| 41 | std::array<Container, BatchSize> c; |
| 42 | std::fill_n(c.begin(), BatchSize, Container(data.begin(), data.end())); |
| 43 | |
| 44 | std::size_t const half = size / 2; |
| 45 | while (st.KeepRunningBatch(BatchSize)) { |
| 46 | for (std::size_t i = 0; i != BatchSize; ++i) { |
| 47 | benchmark::DoNotOptimize(c[i]); |
| 48 | partial_sort(c[i].begin(), c[i].begin() + half, c[i].end()); |
| 49 | benchmark::DoNotOptimize(c[i]); |
| 50 | } |
| 51 | |
| 52 | st.PauseTiming(); |
| 53 | for (std::size_t i = 0; i != BatchSize; ++i) { |
| 54 | std::copy(data.begin(), data.end(), c[i].begin()); |
| 55 | } |
| 56 | st.ResumeTiming(); |
| 57 | } |
| 58 | }) |
| 59 | ->Arg(8) |
| 60 | ->Arg(1024) |
| 61 | ->Arg(8192); |
| 62 | }; |
| 63 | |
| 64 | auto register_bm = [&](auto generate, std::string variant) { |
| 65 | auto gen2 = [generate](auto size) { |
| 66 | std::vector<int> data = generate(size); |
| 67 | std::vector<support::NonIntegral> real_data(data.begin(), data.end()); |
| 68 | return real_data; |
| 69 | }; |
| 70 | auto name = [variant](std::string op) { return op + " (" + variant + ")" ; }; |
| 71 | bm.operator()<std::vector<int>>(name("std::partial_sort(vector<int>" ), std_partial_sort, generate); |
| 72 | bm.operator()<std::vector<support::NonIntegral>>( |
| 73 | name("std::partial_sort(vector<NonIntegral>" ), std_partial_sort, gen2); |
| 74 | bm.operator()<std::deque<int>>(name("std::partial_sort(deque<int>" ), std_partial_sort, generate); |
| 75 | |
| 76 | bm.operator()<std::vector<int>>(name("rng::partial_sort(vector<int>" ), std::ranges::partial_sort, generate); |
| 77 | bm.operator()<std::vector<support::NonIntegral>>( |
| 78 | name("rng::partial_sort(vector<NonIntegral>" ), std::ranges::partial_sort, gen2); |
| 79 | bm.operator()<std::deque<int>>(name("rng::partial_sort(deque<int>" ), std::ranges::partial_sort, generate); |
| 80 | }; |
| 81 | |
| 82 | register_bm(support::quicksort_adversarial_data<int>, "qsort adversarial" ); |
| 83 | register_bm(support::ascending_sorted_data<int>, "ascending" ); |
| 84 | register_bm(support::descending_sorted_data<int>, "descending" ); |
| 85 | register_bm(support::pipe_organ_data<int>, "pipe-organ" ); |
| 86 | register_bm(support::heap_data<int>, "heap" ); |
| 87 | register_bm(support::shuffled_data<int>, "shuffled" ); |
| 88 | register_bm(support::single_element_data<int>, "repeated" ); |
| 89 | } |
| 90 | |
| 91 | benchmark::Initialize(&argc, argv); |
| 92 | benchmark::RunSpecifiedBenchmarks(); |
| 93 | benchmark::Shutdown(); |
| 94 | return 0; |
| 95 | } |
| 96 | |