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| 1 | +// SPDX-FileCopyrightText: 2025 Simon Gene Gottlieb |
| 2 | +// SPDX-License-Identifier: BSD-3-Clause |
| 3 | +#pragma once |
| 4 | + |
| 5 | +#include "FMIndex.h" |
| 6 | + |
| 7 | +namespace fmc { |
| 8 | + |
| 9 | +/** Special FMIndex, that |
| 10 | + * only carries entries with the same length. |
| 11 | + * |
| 12 | + * It always searches for the first character and then the next in a fixed order and no overlappings |
| 13 | + * |
| 14 | + */ |
| 15 | +template <size_t TSigma, template <size_t> typename String = string::FlattenedBitvectors_512_64k> |
| 16 | + requires String_c<String<TSigma>> |
| 17 | +struct LinearFMIndex { |
| 18 | + static size_t constexpr Sigma = TSigma; |
| 19 | + |
| 20 | + struct Column { |
| 21 | + String<Sigma> bwt; |
| 22 | + std::array<size_t, Sigma+1> C{0}; |
| 23 | + }; |
| 24 | + std::vector<Column> columns; |
| 25 | + |
| 26 | + size_t size_; |
| 27 | + size_t depth_; |
| 28 | + |
| 29 | + std::vector<size_t> ordered{}; |
| 30 | + |
| 31 | + |
| 32 | + LinearFMIndex(Sequences auto const& _inputs) { |
| 33 | + auto lastOrder = std::vector<size_t>{}; |
| 34 | + for (size_t i{0}; i < _inputs.size(); ++i) { |
| 35 | + lastOrder.push_back(i); |
| 36 | + } |
| 37 | + |
| 38 | + // counts characters in a column |
| 39 | + auto countColumn = [&](size_t col, size_t begin, size_t end) { |
| 40 | + auto count = std::array<size_t, 257>{}; |
| 41 | + for (auto i{begin}; i < end; ++i) { |
| 42 | + auto row = lastOrder[i]; |
| 43 | + auto c = _inputs[row][col]; |
| 44 | + count[c] += 1; |
| 45 | + } |
| 46 | + return count; |
| 47 | + }; |
| 48 | + auto accCount = [](std::array<size_t, 257>& count) { |
| 49 | + for (size_t i{1}; i < count.size(); ++i) { |
| 50 | + count[i] = count[i-1] + count[i]; |
| 51 | + } |
| 52 | + }; |
| 53 | + |
| 54 | + auto target = std::vector<std::vector<uint8_t>>{}; |
| 55 | + target.resize(_inputs.size(), std::vector<uint8_t>(_inputs[0].size())); |
| 56 | + |
| 57 | + |
| 58 | + auto sort = std::function<void(size_t, size_t, size_t)>{}; |
| 59 | + |
| 60 | + auto pos = std::vector<size_t>{}; |
| 61 | + pos.resize(lastOrder.size()); |
| 62 | + |
| 63 | + columns.resize(_inputs[0].size()); |
| 64 | + |
| 65 | + auto temp_input = std::vector<uint8_t>{}; |
| 66 | + temp_input.resize(_inputs.size()); |
| 67 | + |
| 68 | + for (size_t j{0}; j < _inputs[0].size(); ++j) { |
| 69 | + size_t col = _inputs[0].size() - j - 1; |
| 70 | + auto count = countColumn(col, 0, _inputs.size()); |
| 71 | + accCount(count); |
| 72 | + |
| 73 | + for (size_t _i{0}; _i < _inputs.size(); ++_i) { |
| 74 | + auto i = _inputs.size() - _i - 1; |
| 75 | + auto row = lastOrder[i]; |
| 76 | + auto c = _inputs[row][col]; |
| 77 | + pos[--count[c]] = row; |
| 78 | + } |
| 79 | + std::swap(lastOrder, pos); |
| 80 | + //fmt::print("pass {}\n", j); |
| 81 | + //printPos(lastOrder); |
| 82 | + |
| 83 | + |
| 84 | + // fill bwts + C |
| 85 | + auto tcol = ((col == 0)?columns.size():col)-1; |
| 86 | + auto& bwt = columns[tcol].bwt; |
| 87 | + auto& C = columns[tcol].C; |
| 88 | + |
| 89 | + // fill temp string for bwt |
| 90 | + for (size_t i{0}; i < lastOrder.size(); ++i) { |
| 91 | + auto row = lastOrder[i]; |
| 92 | + auto c = _inputs[row].back(); |
| 93 | + if (col > 0) c = _inputs[row][col-1]; |
| 94 | + temp_input[i] = c; |
| 95 | + } |
| 96 | + bwt = {temp_input}; |
| 97 | + |
| 98 | + // fill C |
| 99 | + for (size_t i{0}; i <= Sigma; ++i) { |
| 100 | + C[i] = bwt.prefix_rank(bwt.size(), i); |
| 101 | + } |
| 102 | + } |
| 103 | + size_ = _inputs.size(); |
| 104 | + ordered = lastOrder; |
| 105 | + } |
| 106 | + |
| 107 | + auto size() const { |
| 108 | + return size_; |
| 109 | + } |
| 110 | + |
| 111 | + auto depth() const { |
| 112 | + return columns.size(); |
| 113 | + } |
| 114 | + |
| 115 | + auto locate(size_t idx) const -> size_t { |
| 116 | + return ordered[idx]; |
| 117 | + } |
| 118 | +}; |
| 119 | + |
| 120 | +} |
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