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| 1 | +// SPDX-FileCopyrightText: 2006-2025, Knut Reinert & Freie Universität Berlin |
| 2 | +// SPDX-FileCopyrightText: 2016-2025, Knut Reinert & MPI für molekulare Genetik |
| 3 | +// SPDX-License-Identifier: BSD-3-Clause |
| 4 | + |
| 5 | +#include <iostream> |
| 6 | +#include <random> |
| 7 | + |
| 8 | +#include <sharg/parser.hpp> |
| 9 | + |
| 10 | +#include <hibf/build/bin_size_in_bits.hpp> |
| 11 | +#include <hibf/contrib/robin_hood.hpp> |
| 12 | +#include <hibf/interleaved_bloom_filter.hpp> |
| 13 | +#include <hibf/layout/compute_fpr_correction.hpp> |
| 14 | +#include <hibf/misc/divide_and_ceil.hpp> |
| 15 | + |
| 16 | +struct config |
| 17 | +{ |
| 18 | + // Set by user |
| 19 | + size_t kmer_size{12}; |
| 20 | + size_t elements{130}; |
| 21 | + size_t hash{2}; |
| 22 | + size_t repetitions{1}; |
| 23 | + double fpr{0.05}; |
| 24 | + |
| 25 | + // Internal |
| 26 | + size_t kmer_max{}; |
| 27 | +}; |
| 28 | + |
| 29 | +class positive_integer_validator |
| 30 | +{ |
| 31 | +public: |
| 32 | + using option_value_type = size_t; |
| 33 | + |
| 34 | + positive_integer_validator() = default; |
| 35 | + positive_integer_validator(positive_integer_validator const &) = default; |
| 36 | + positive_integer_validator & operator=(positive_integer_validator const &) = default; |
| 37 | + positive_integer_validator(positive_integer_validator &&) = default; |
| 38 | + positive_integer_validator & operator=(positive_integer_validator &&) = default; |
| 39 | + ~positive_integer_validator() = default; |
| 40 | + |
| 41 | + explicit positive_integer_validator(bool const is_zero_positive_) : is_zero_positive{is_zero_positive_} |
| 42 | + {} |
| 43 | + |
| 44 | + void operator()(option_value_type const & val) const |
| 45 | + { |
| 46 | + if (!is_zero_positive && !val) |
| 47 | + throw sharg::validation_error{"The value must be a positive integer."}; |
| 48 | + } |
| 49 | + |
| 50 | + std::string get_help_page_message() const |
| 51 | + { |
| 52 | + if (is_zero_positive) |
| 53 | + return "Value must be a positive integer or 0."; |
| 54 | + else |
| 55 | + return "Value must be a positive integer."; |
| 56 | + } |
| 57 | + |
| 58 | +private: |
| 59 | + bool is_zero_positive{false}; |
| 60 | +}; |
| 61 | + |
| 62 | +void init_parser(sharg::parser & parser, config & cfg) |
| 63 | +{ |
| 64 | + parser.add_option(cfg.kmer_size, |
| 65 | + sharg::config{.short_id = '\0', |
| 66 | + .long_id = "kmer", |
| 67 | + .description = "The k-mer size.", |
| 68 | + .validator = sharg::arithmetic_range_validator{1, 32}}); |
| 69 | + parser.add_option(cfg.elements, |
| 70 | + sharg::config{.short_id = '\0', |
| 71 | + .long_id = "elements", |
| 72 | + .description = "Number of elements to insert.", |
| 73 | + .validator = positive_integer_validator{}}); |
| 74 | + parser.add_option(cfg.hash, |
| 75 | + sharg::config{.short_id = '\0', |
| 76 | + .long_id = "hash", |
| 77 | + .description = "The number of hash functions to use.", |
| 78 | + .validator = sharg::arithmetic_range_validator{1, 5}}); |
| 79 | + parser.add_option(cfg.repetitions, |
| 80 | + sharg::config{.short_id = '\0', |
| 81 | + .long_id = "repeats", |
| 82 | + .description = "Number of repetitions.", |
| 83 | + .validator = positive_integer_validator{}}); |
| 84 | + parser.add_option(cfg.fpr, |
| 85 | + sharg::config{.short_id = '\0', |
| 86 | + .long_id = "fpr", |
| 87 | + .description = "The desired false positive rate.", |
| 88 | + .validator = sharg::arithmetic_range_validator{0.0, 1.0}}); |
| 89 | +} |
| 90 | + |
| 91 | +double false_positive_rate(size_t const elements, size_t const hash_count, size_t const bin_size) |
| 92 | +{ |
| 93 | + double const exp_arg = (hash_count * elements) / static_cast<double>(bin_size); |
| 94 | + double const log_arg = 1.0 - std::exp(-exp_arg); |
| 95 | + return std::exp(hash_count * std::log(log_arg)); |
| 96 | +} |
| 97 | + |
| 98 | +struct stats |
| 99 | +{ |
| 100 | + size_t min{}; |
| 101 | + size_t max{}; |
| 102 | + double mean{}; |
| 103 | + double variance{}; |
| 104 | +}; |
| 105 | + |
| 106 | +stats get_stats(std::vector<size_t> const & values) |
| 107 | +{ |
| 108 | + size_t min = std::ranges::min(values); |
| 109 | + size_t max = std::ranges::max(values); |
| 110 | + |
| 111 | + size_t number_of_values = values.size(); |
| 112 | + double mean = std::reduce(values.begin(), values.end()) / static_cast<double>(number_of_values); |
| 113 | + double variance = [&values, mean, number_of_values]() |
| 114 | + { |
| 115 | + if (number_of_values == 1u) |
| 116 | + return std::numeric_limits<double>::quiet_NaN(); |
| 117 | + |
| 118 | + auto helper = [mean, number_of_values](double current, double const value) |
| 119 | + { |
| 120 | + return current + ((value - mean) * (value - mean) / (number_of_values - 1)); |
| 121 | + }; |
| 122 | + |
| 123 | + return std::reduce(values.begin(), values.end(), 0.0, helper); |
| 124 | + }(); |
| 125 | + |
| 126 | + return stats{.min = min, .max = max, .mean = mean, .variance = variance}; |
| 127 | +} |
| 128 | + |
| 129 | +stats get_stats(std::vector<size_t> const & values_, size_t const elements) |
| 130 | +{ |
| 131 | + std::vector<size_t> values; |
| 132 | + values.reserve(values_.size()); |
| 133 | + std::ranges::transform(values_, |
| 134 | + std::back_inserter(values), |
| 135 | + [elements](size_t const val) |
| 136 | + { |
| 137 | + return elements - val; |
| 138 | + }); |
| 139 | + |
| 140 | + return get_stats(values); |
| 141 | +} |
| 142 | + |
| 143 | +void run(config const & cfg) |
| 144 | +{ |
| 145 | + size_t const bin_size = seqan::hibf::build::bin_size_in_bits({.fpr = cfg.fpr, // |
| 146 | + .hash_count = cfg.hash, |
| 147 | + .elements = cfg.elements}); |
| 148 | + |
| 149 | + seqan::hibf::interleaved_bloom_filter ibf{seqan::hibf::bin_count{1u}, |
| 150 | + seqan::hibf::bin_size{bin_size}, |
| 151 | + seqan::hibf::hash_function_count{cfg.hash}, |
| 152 | + true}; |
| 153 | + |
| 154 | + std::vector<size_t> occupancies{}; |
| 155 | + occupancies.reserve(cfg.repetitions); |
| 156 | + |
| 157 | + // Simulation |
| 158 | + { |
| 159 | + auto agent = ibf.containment_agent(); |
| 160 | + |
| 161 | + robin_hood::unordered_set<uint64_t> inserted_values{}; |
| 162 | + std::random_device rd; |
| 163 | + std::mt19937_64 gen(rd()); |
| 164 | + std::uniform_int_distribution<uint64_t> distrib(0ULL, cfg.kmer_max); |
| 165 | + |
| 166 | + for (size_t i{}; i < cfg.repetitions; ++i) |
| 167 | + { |
| 168 | + for (; inserted_values.size() < cfg.elements;) |
| 169 | + inserted_values.emplace(distrib(gen)); |
| 170 | + |
| 171 | + for (uint64_t const value : inserted_values) |
| 172 | + ibf.emplace(value, seqan::hibf::bin_index{0u}); |
| 173 | + |
| 174 | + occupancies.push_back(ibf.occupancy[0]); |
| 175 | + inserted_values.clear(); |
| 176 | + ibf.clear(seqan::hibf::bin_index{0u}); |
| 177 | + } |
| 178 | + } |
| 179 | + |
| 180 | + stats const occupancy_stats = get_stats(occupancies); |
| 181 | + stats const collision_stats = get_stats(occupancies, cfg.elements); |
| 182 | + |
| 183 | + // I don't know why this works reasonably well, but it does. |
| 184 | + // Removing `/ std::sqrt(cfg.hash)` and using `1` hash is a known computation for the expected number of |
| 185 | + // hash collisions. |
| 186 | + // Hence, it is exact for 1 hash, but only a rough estimate for more than 1 hash. |
| 187 | + double const rough_estimate = [&]() |
| 188 | + { |
| 189 | + double const bin_size_1_hash = seqan::hibf::build::bin_size_in_bits({.fpr = cfg.fpr, // |
| 190 | + .hash_count = 1u, |
| 191 | + .elements = cfg.elements}); |
| 192 | + |
| 193 | + double estimate_1 = std::exp(cfg.elements * std::log((bin_size_1_hash - 1.0) / bin_size_1_hash)); |
| 194 | + double estimate_2 = bin_size_1_hash * (1.0 - estimate_1); |
| 195 | + return (cfg.elements - estimate_2) / std::sqrt(cfg.hash); |
| 196 | + }(); |
| 197 | + |
| 198 | + // This one does make sense, but is rather expensive to compute. |
| 199 | + double const exact_estimate = [&]() |
| 200 | + { |
| 201 | + double estimate = 0.0; |
| 202 | + for (size_t i = 1; i <= cfg.elements; ++i) |
| 203 | + estimate += false_positive_rate(i - 1, cfg.hash, bin_size); |
| 204 | + return estimate; |
| 205 | + }(); |
| 206 | + |
| 207 | + std::stringstream result{}; |
| 208 | + result.setf(std::ios::left, std::ios::adjustfield); |
| 209 | + |
| 210 | + result.width(20); |
| 211 | + result << ""; |
| 212 | + result.width(11); |
| 213 | + result << "min"; |
| 214 | + result.width(11); |
| 215 | + result << "max"; |
| 216 | + result.width(11); |
| 217 | + result << "mean"; |
| 218 | + result.width(11); |
| 219 | + result << "variance"; |
| 220 | + result << '\n'; |
| 221 | + |
| 222 | + result.width(20); |
| 223 | + result << "occupancy"; |
| 224 | + result.width(11); |
| 225 | + result << occupancy_stats.min; |
| 226 | + result.width(11); |
| 227 | + result << occupancy_stats.max; |
| 228 | + result.width(11); |
| 229 | + result << occupancy_stats.mean; |
| 230 | + result.width(11); |
| 231 | + result << occupancy_stats.variance; |
| 232 | + result << '\n'; |
| 233 | + |
| 234 | + result.width(20); |
| 235 | + result << "collisions"; |
| 236 | + result.width(11); |
| 237 | + result << collision_stats.min; |
| 238 | + result.width(11); |
| 239 | + result << collision_stats.max; |
| 240 | + result.width(11); |
| 241 | + result << collision_stats.mean; |
| 242 | + result.width(11); |
| 243 | + result << collision_stats.variance; |
| 244 | + result << '\n'; |
| 245 | + |
| 246 | + result.width(20); |
| 247 | + result << "exact estimate"; |
| 248 | + result.width(11); |
| 249 | + result << ""; |
| 250 | + result.width(11); |
| 251 | + result << ""; |
| 252 | + result.width(11); |
| 253 | + result << exact_estimate; |
| 254 | + result.width(11); |
| 255 | + result << ""; |
| 256 | + result << '\n'; |
| 257 | + |
| 258 | + result.width(20); |
| 259 | + result << "rough estimate"; |
| 260 | + result.width(11); |
| 261 | + result << ""; |
| 262 | + result.width(11); |
| 263 | + result << ""; |
| 264 | + result.width(11); |
| 265 | + result << rough_estimate; |
| 266 | + result.width(11); |
| 267 | + result << ""; |
| 268 | + result << '\n'; |
| 269 | + |
| 270 | + std::cout << result.str(); |
| 271 | +} |
| 272 | + |
| 273 | +int main(int argc, char ** argv) |
| 274 | +{ |
| 275 | + sharg::parser parser{"hash_collisions", argc, argv, sharg::update_notifications::off}; |
| 276 | + parser.info.author = "Enrico Seiler"; |
| 277 | + parser.info.short_copyright = "BSD 3-Clause License"; |
| 278 | + parser.info.short_description = "Determines the number of hash collisions in the IBF."; |
| 279 | + config cfg{}; |
| 280 | + init_parser(parser, cfg); |
| 281 | + parser.parse(); |
| 282 | + |
| 283 | + cfg.kmer_max = cfg.kmer_size == 32 ? std::numeric_limits<uint64_t>::max() : (1ULL << (2 * cfg.kmer_size)) - 1u; |
| 284 | + |
| 285 | + if (cfg.elements > cfg.kmer_max && cfg.elements != cfg.kmer_max + 1u) |
| 286 | + { |
| 287 | + std::cout << "[WARNING] Inserting more elements than there are possible k-mers. " |
| 288 | + << "Setting number of elements to number of possible k-mers.\n\n"; |
| 289 | + cfg.elements = cfg.kmer_max + 1u; |
| 290 | + } |
| 291 | + |
| 292 | + std::cout << "kmer: " << cfg.kmer_size << '\n'; |
| 293 | + std::cout << "elements: " << cfg.elements << '\n'; |
| 294 | + std::cout << "hash: " << cfg.hash << '\n'; |
| 295 | + std::cout << "fpr: " << cfg.fpr << '\n'; |
| 296 | + std::cout << "repetitions: " << cfg.repetitions << "\n\n"; |
| 297 | + run(cfg); |
| 298 | +} |
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