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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-exception6//7//===----------------------------------------------------------------------===//8 9// UNSUPPORTED: c++03, c++11, c++14, c++1710 11#include <algorithm>12#include <cassert>13#include <cstddef>14#include <deque>15#include <iterator>16#include <list>17#include <string>18#include <vector>19 20#include "benchmark/benchmark.h"21#include "../../GenerateInput.h"22 23auto compute_median(auto first, auto last) {24  std::vector v(first, last);25  auto middle = v.begin() + v.size() / 2;26  std::nth_element(v.begin(), middle, v.end());27  return *middle;28}29 30int main(int argc, char** argv) {31  auto std_partition = [](auto first, auto last, auto pred) { return std::partition(first, last, pred); };32 33  // Benchmark {std,ranges}::partition on a fully unpartitionned sequence, i.e. a lot of elements34  // have to be moved around in order to partition the range.35  {36    auto bm = []<class Container>(std::string name, auto partition) {37      benchmark::RegisterBenchmark(38          name,39          [partition](auto& st) {40            std::size_t const size = st.range(0);41            using ValueType        = typename Container::value_type;42            Container c;43            std::generate_n(std::back_inserter(c), size, [] { return Generate<ValueType>::random(); });44 45            ValueType median = compute_median(c.begin(), c.end());46            auto pred1       = [median](auto const& element) { return element < median; };47            auto pred2       = [median](auto const& element) { return element > median; };48            bool toggle      = false;49 50            for ([[maybe_unused]] auto _ : st) {51              benchmark::DoNotOptimize(c);52              // By toggling the predicate, we have to move almost all elements in the sequence53              // to restore the partition.54              if (toggle) {55                auto result = partition(c.begin(), c.end(), pred1);56                benchmark::DoNotOptimize(result);57              } else {58                auto result = partition(c.begin(), c.end(), pred2);59                benchmark::DoNotOptimize(result);60              }61              toggle = !toggle;62            }63          })64          ->Arg(32)65          ->Arg(50) // non power-of-two66          ->Arg(1024)67          ->Arg(8192);68    };69 70    // std::partition71    bm.operator()<std::vector<int>>("std::partition(vector<int>) (dense)", std_partition);72    bm.operator()<std::deque<int>>("std::partition(deque<int>) (dense)", std_partition);73    bm.operator()<std::list<int>>("std::partition(list<int>) (dense)", std_partition);74 75    // ranges::partition76    bm.operator()<std::vector<int>>("rng::partition(vector<int>) (dense)", std::ranges::partition);77    bm.operator()<std::deque<int>>("rng::partition(deque<int>) (dense)", std::ranges::partition);78    bm.operator()<std::list<int>>("rng::partition(list<int>) (dense)", std::ranges::partition);79  }80 81  // Benchmark {std,ranges}::partition on a mostly partitioned sequence, i.e. only 10% of the elements82  // have to be moved around in order to partition the range.83  {84    auto bm = []<class Container>(std::string name, auto partition) {85      benchmark::RegisterBenchmark(86          name,87          [partition](auto& st) {88            std::size_t const size = st.range(0);89            using ValueType        = typename Container::value_type;90            Container c;91            std::generate_n(std::back_inserter(c), size, [] { return Generate<ValueType>::random(); });92            ValueType median = compute_median(c.begin(), c.end());93            auto pred        = [median](auto const& element) { return element < median; };94            std::partition(c.begin(), c.end(), pred);95 96            // Between iterations, we swap 5% of the elements to the left of the median with 5% of the elements97            // to the right of the median. This ensures that the range is slightly unpartitioned.98            auto median_it = std::partition_point(c.begin(), c.end(), pred);99            auto low       = std::next(c.begin(), std::distance(c.begin(), median_it) - (size / 20));100            auto high      = std::next(median_it, size / 20);101            auto shuffle   = [&] { std::swap_ranges(low, median_it, high); };102            shuffle();103            assert(!std::is_partitioned(c.begin(), c.end(), pred));104 105            for ([[maybe_unused]] auto _ : st) {106              benchmark::DoNotOptimize(c);107              auto result = partition(c.begin(), c.end(), pred);108              benchmark::DoNotOptimize(result);109              shuffle();110            }111          })112          ->Arg(32)113          ->Arg(50) // non power-of-two114          ->Arg(1024)115          ->Arg(8192);116    };117 118    // std::partition119    bm.operator()<std::vector<int>>("std::partition(vector<int>) (sparse)", std_partition);120    bm.operator()<std::deque<int>>("std::partition(deque<int>) (sparse)", std_partition);121    bm.operator()<std::list<int>>("std::partition(list<int>) (sparse)", std_partition);122 123    // ranges::partition124    bm.operator()<std::vector<int>>("rng::partition(vector<int>) (sparse)", std::ranges::partition);125    bm.operator()<std::deque<int>>("rng::partition(deque<int>) (sparse)", std::ranges::partition);126    bm.operator()<std::list<int>>("rng::partition(list<int>) (sparse)", std::ranges::partition);127  }128 129  benchmark::Initialize(&argc, argv);130  benchmark::RunSpecifiedBenchmarks();131  benchmark::Shutdown();132  return 0;133}134