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|---|---|---|---|
| 1 | #include "sosnina_a_radix_simple_merge/stl/include/ops_stl.hpp" | ||
| 2 | |||
| 3 | #include <algorithm> | ||
| 4 | #include <array> | ||
| 5 | #include <cstddef> | ||
| 6 | #include <cstdint> | ||
| 7 | #include <thread> | ||
| 8 | #include <type_traits> | ||
| 9 | #include <utility> | ||
| 10 | #include <vector> | ||
| 11 | |||
| 12 | #include "sosnina_a_radix_simple_merge/common/include/common.hpp" | ||
| 13 | #include "util/include/util.hpp" | ||
| 14 | |||
| 15 | namespace sosnina_a_radix_simple_merge { | ||
| 16 | |||
| 17 | namespace { | ||
| 18 | |||
| 19 | constexpr int kRadixBits = 8; | ||
| 20 | constexpr int kRadixSize = 1 << kRadixBits; | ||
| 21 | constexpr int kNumPasses = sizeof(int) / sizeof(uint8_t); | ||
| 22 | constexpr uint32_t kSignFlip = 0x80000000U; | ||
| 23 | constexpr size_t kMinElementsPerPart = 4096; | ||
| 24 | constexpr size_t kMinElementsPerPartSmall = 32768; | ||
| 25 | constexpr size_t kSmallArrayThreshold = 1'000'000; | ||
| 26 | constexpr size_t kLargeArrayThreshold = 20'000'000; | ||
| 27 | |||
| 28 | 884 | void RadixSortLSD(std::vector<int> &data, std::vector<int> &buffer) { | |
| 29 | size_t idx = 0; | ||
| 30 |
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3502 | for (int elem : data) { |
| 31 | 2618 | buffer[idx++] = static_cast<int>(static_cast<uint32_t>(elem) ^ kSignFlip); | |
| 32 | } | ||
| 33 | std::swap(data, buffer); | ||
| 34 | |||
| 35 |
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4420 | for (int pass = 0; pass < kNumPasses; ++pass) { |
| 36 | 3536 | std::array<int, kRadixSize + 1> count{}; | |
| 37 | |||
| 38 |
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14008 | for (auto elem : data) { |
| 39 | 10472 | auto digit = static_cast<uint8_t>((static_cast<uint32_t>(elem) >> (pass * kRadixBits)) & 0xFF); | |
| 40 | 10472 | ++count.at(static_cast<size_t>(digit) + 1U); | |
| 41 | } | ||
| 42 | |||
| 43 |
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908752 | for (int i = 1; i <= kRadixSize; ++i) { |
| 44 | 905216 | const auto ui = static_cast<size_t>(i); | |
| 45 | 905216 | count.at(ui) += count.at(ui - 1U); | |
| 46 | } | ||
| 47 | |||
| 48 |
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14008 | for (auto elem : data) { |
| 49 | 10472 | auto digit = static_cast<uint8_t>((static_cast<uint32_t>(elem) >> (pass * kRadixBits)) & 0xFF); | |
| 50 | 10472 | const auto di = static_cast<size_t>(digit); | |
| 51 | 10472 | const int write_pos = count.at(di)++; | |
| 52 | 10472 | buffer[static_cast<size_t>(write_pos)] = elem; | |
| 53 | } | ||
| 54 | |||
| 55 | std::swap(data, buffer); | ||
| 56 | } | ||
| 57 | |||
| 58 |
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3502 | for (int &elem : data) { |
| 59 | 2618 | elem = static_cast<int>(static_cast<uint32_t>(elem) ^ kSignFlip); | |
| 60 | } | ||
| 61 | 884 | } | |
| 62 | |||
| 63 | void SimpleMerge(const std::vector<int> &left, const std::vector<int> &right, std::vector<int> &result) { | ||
| 64 | 518 | std::ranges::merge(left, right, result.begin()); | |
| 65 | } | ||
| 66 | |||
| 67 | /// Диапазон [begin, end) по индексам, до num_threads потоков (как грубый аналог parallel for). | ||
| 68 | template <typename F> | ||
| 69 | 1432 | void ParallelForRange(size_t begin, size_t end, int num_threads, F &&fn) { | |
| 70 |
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1432 | if (begin >= end) { |
| 71 | ✗ | return; | |
| 72 | } | ||
| 73 | 1432 | std::decay_t<F> func{std::forward<F>(fn)}; | |
| 74 |
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2352 | num_threads = std::max(1, std::min(num_threads, static_cast<int>(end - begin))); |
| 75 | 1432 | const size_t n = end - begin; | |
| 76 | 1432 | const size_t chunk = (n + static_cast<size_t>(num_threads) - 1) / static_cast<size_t>(num_threads); | |
| 77 | 1432 | std::vector<std::thread> threads; | |
| 78 |
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4056 | for (int thread_idx = 0; thread_idx < num_threads; ++thread_idx) { |
| 79 | 2624 | const size_t lo = begin + (static_cast<size_t>(thread_idx) * chunk); | |
| 80 |
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2624 | if (lo >= end) { |
| 81 | break; | ||
| 82 | } | ||
| 83 |
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2624 | const size_t hi = std::min(end, lo + chunk); |
| 84 |
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2624 | threads.emplace_back([lo, hi, &func]() { |
| 85 |
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2624 | for (size_t i = lo; i < hi; ++i) { |
| 86 | 1312 | func(i); | |
| 87 | } | ||
| 88 | }); | ||
| 89 | } | ||
| 90 |
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4056 | for (auto &th : threads) { |
| 91 |
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2624 | th.join(); |
| 92 | } | ||
| 93 | 1432 | } | |
| 94 | |||
| 95 | } // namespace | ||
| 96 | |||
| 97 |
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390 | SosninaATestTaskSTL::SosninaATestTaskSTL(const InType &in) { |
| 98 | SetTypeOfTask(GetStaticTypeOfTask()); | ||
| 99 |
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390 | GetInput() = in; |
| 100 |
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390 | GetOutput() = in; |
| 101 | 390 | } | |
| 102 | |||
| 103 | 390 | bool SosninaATestTaskSTL::ValidationImpl() { | |
| 104 | 390 | return !GetInput().empty(); | |
| 105 | } | ||
| 106 | |||
| 107 | 390 | bool SosninaATestTaskSTL::PreProcessingImpl() { | |
| 108 | 390 | GetOutput() = GetInput(); | |
| 109 | 390 | return true; | |
| 110 | } | ||
| 111 | |||
| 112 |
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390 | bool SosninaATestTaskSTL::RunImpl() { |
| 113 | std::vector<int> &data = GetOutput(); | ||
| 114 |
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390 | if (data.size() <= 1) { |
| 115 | return true; | ||
| 116 | } | ||
| 117 | |||
| 118 |
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366 | const int num_threads = ppc::util::GetNumThreads(); |
| 119 | const size_t per_thread_floor = data.size() >= kLargeArrayThreshold | ||
| 120 |
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366 | ? (data.size() / static_cast<size_t>(std::max(1, num_threads))) |
| 121 | 366 | : (data.size() / static_cast<size_t>(std::max(1, 2 * num_threads))); | |
| 122 | 366 | size_t min_chunk_base = kMinElementsPerPart; | |
| 123 |
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366 | if (data.size() < kMinElementsPerPartSmall) { |
| 124 | 366 | min_chunk_base = std::max(size_t{1}, data.size() / static_cast<size_t>(std::max(1, 2 * num_threads))); | |
| 125 | ✗ | } else if (data.size() < kSmallArrayThreshold) { | |
| 126 | ✗ | min_chunk_base = kMinElementsPerPartSmall; | |
| 127 | } | ||
| 128 | const size_t min_chunk = std::max(min_chunk_base, per_thread_floor); | ||
| 129 | 366 | const int max_parts_by_grain = std::max(1, static_cast<int>(data.size() / min_chunk)); | |
| 130 | 366 | const int num_parts = std::min({num_threads, static_cast<int>(data.size()), max_parts_by_grain}); | |
| 131 | |||
| 132 |
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366 | if (num_parts <= 1) { |
| 133 | 90 | std::vector<int> buffer(data.size()); | |
| 134 | 90 | RadixSortLSD(data, buffer); | |
| 135 | return std::ranges::is_sorted(data); | ||
| 136 | } | ||
| 137 | |||
| 138 | 276 | std::vector<std::vector<int>> parts(static_cast<size_t>(num_parts)); | |
| 139 | 276 | const size_t base_size = data.size() / static_cast<size_t>(num_parts); | |
| 140 | 276 | const size_t remainder = data.size() % static_cast<size_t>(num_parts); | |
| 141 | size_t pos = 0; | ||
| 142 | |||
| 143 |
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1070 | for (int i = 0; i < num_parts; ++i) { |
| 144 | 794 | const size_t part_size = base_size + (std::cmp_less(i, remainder) ? 1U : 0U); | |
| 145 |
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794 | parts[static_cast<size_t>(i)].assign(data.begin() + static_cast<std::ptrdiff_t>(pos), |
| 146 |
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794 | data.begin() + static_cast<std::ptrdiff_t>(pos + part_size)); |
| 147 | pos += part_size; | ||
| 148 | } | ||
| 149 | |||
| 150 |
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276 | ParallelForRange(0, static_cast<size_t>(num_parts), num_threads, [&](size_t i) { |
| 151 | 794 | auto &part = parts[i]; | |
| 152 | 794 | std::vector<int> buffer(part.size()); | |
| 153 | 794 | RadixSortLSD(part, buffer); | |
| 154 | 794 | }); | |
| 155 | |||
| 156 | std::vector<std::vector<int>> current = std::move(parts); | ||
| 157 |
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716 | while (current.size() > 1) { |
| 158 | 440 | const size_t half = (current.size() + 1) / 2; | |
| 159 |
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440 | std::vector<std::vector<int>> next(half); |
| 160 | |||
| 161 | 440 | const size_t pair_count = current.size() / 2; | |
| 162 |
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440 | ParallelForRange(0, pair_count, num_threads, [&](size_t idx) { |
| 163 | 518 | auto &left = current[2 * idx]; | |
| 164 | auto &right = current[(2 * idx) + 1]; | ||
| 165 | 518 | next[idx].resize(left.size() + right.size()); | |
| 166 | 518 | SimpleMerge(left, right, next[idx]); | |
| 167 | std::vector<int>().swap(left); | ||
| 168 | std::vector<int>().swap(right); | ||
| 169 | 518 | }); | |
| 170 |
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440 | if (current.size() % 2 == 1) { |
| 171 | 86 | next[half - 1] = std::move(current.back()); | |
| 172 | } | ||
| 173 | 440 | current = std::move(next); | |
| 174 | 440 | } | |
| 175 | |||
| 176 | data = std::move(current[0]); | ||
| 177 | return std::ranges::is_sorted(data); | ||
| 178 | 276 | } | |
| 179 | |||
| 180 | 390 | bool SosninaATestTaskSTL::PostProcessingImpl() { | |
| 181 | 390 | return !GetOutput().empty(); | |
| 182 | } | ||
| 183 | |||
| 184 | } // namespace sosnina_a_radix_simple_merge | ||
| 185 |