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Add new (fast) dictionary generator engine. (#616)
Add CLI for dictionary generation. Add BUILD file for research folder
This commit is contained in:
parent
9c75a2a26a
commit
39ef4bbdcf
29
research/BUILD
Executable file
29
research/BUILD
Executable file
@ -0,0 +1,29 @@
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# Description: brotli research tools.
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package(default_visibility = ["//visibility:public"])
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licenses(["notice"]) # MIT
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cc_library(
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name = "dm",
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srcs = ["deorummolae.cc"],
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hdrs = [
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"deorummolae.h",
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"esaxx/sais.hxx",
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],
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)
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cc_library(
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name = "sieve",
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srcs = ["sieve.cc"],
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hdrs = ["sieve.h"],
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)
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cc_binary(
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name = "dictionary_generator",
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srcs = ["dictionary_generator.cc"],
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deps = [
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":dm",
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":sieve",
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],
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)
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@ -1,7 +1,7 @@
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#include "./deorummolae.h"
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#include <array>
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#include <vector>
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#include <cstdio>
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#include "./esaxx/sais.hxx"
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@ -20,9 +20,7 @@
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/* File coverage: every bit set to 1 denotes a file covered by an isle. */
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typedef std::array<uint64_t, COVERAGE_SIZE> Coverage;
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static int popcount(uint64_t u) {
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return __builtin_popcountll(u);
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}
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static int popcount(uint64_t u) { return __builtin_popcountll(u); }
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/* Condense terminators and pad file entries. */
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static void rewriteText(std::vector<int>* text) {
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@ -155,9 +153,8 @@ static void cutMatch(std::vector<std::vector<int>>* data, int index, int length,
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}
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}
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size_t DM_generate(uint8_t* dictionary, size_t dictionary_size_limit,
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size_t num_samples, const size_t* sample_sizes,
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const uint8_t* sample_data) {
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std::string DM_generate(size_t dictionary_size_limit,
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const std::vector<size_t>& sample_sizes, const uint8_t* sample_data) {
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{
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uint64_t tmp = 0;
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if (popcount(tmp - 1u) != 64) {
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@ -169,9 +166,11 @@ size_t DM_generate(uint8_t* dictionary, size_t dictionary_size_limit,
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/* Could use 256 + '0' for easier debugging. */
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int next_terminator = 256;
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std::string output;
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std::vector<std::vector<int>> data;
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size_t offset = 0;
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size_t num_samples = sample_sizes.size();
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if (num_samples > MAX_FILES) num_samples = MAX_FILES;
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for (size_t n = 0; n < num_samples; ++n) {
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size_t next_offset = offset + sample_sizes[n];
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@ -259,18 +258,16 @@ retry:
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}
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/* Save the entry. */
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fprintf(stderr,
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"Savings: %zu+%zu, dictionary: %zu+%d\n",
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fprintf(stderr, "Savings: %zu+%zu, dictionary: %zu+%d\n",
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total_cost, best_cost, total, best_isle.lcp);
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for (size_t i = 0; i < best_isle.lcp; ++i) {
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dictionary[total + i] =
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static_cast<uint8_t>(full_text[sa[best_isle.l] + i]);
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}
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int* piece = &full_text[sa[best_isle.l]];
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output.insert(output.end(), piece, piece + best_isle.lcp);
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total += best_isle.lcp;
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total_cost += best_cost;
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cutMatch(&data, best_isle.l, best_isle.lcp, &sa, &lcp,
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&invese_sa, &next_terminator, &file_map, &file_offset);
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cutMatch(&data, best_isle.l, best_isle.lcp, &sa, &lcp, &invese_sa,
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&next_terminator, &file_map, &file_offset);
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if (total >= dictionary_size_limit) break;
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}
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return total;
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return output;
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}
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@ -4,6 +4,9 @@
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#include <stddef.h>
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#include <stdint.h>
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#include <string>
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#include <vector>
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/* log2(maximal number of files). Value 6 provides some speedups. */
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#define LOG_MAX_FILES 6
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@ -13,15 +16,12 @@
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/**
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* Generate a dictionary for given samples.
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*
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* @param dictionary storage for generated dictionary
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* @param dictionary_size_limit maximal dictionary size
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* @param num_samples number of samples
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* @param sample_sizes array with sample sizes
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* @param sample_sizes vector with sample sizes
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* @param sample_data concatenated samples
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* @return generated dictionary size
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* @return generated dictionary
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*/
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size_t DM_generate(uint8_t* dictionary, size_t dictionary_size_limit,
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size_t num_samples, const size_t* sample_sizes,
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const uint8_t* sample_data);
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std::string DM_generate(size_t dictionary_size_limit,
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const std::vector<size_t>& sample_sizes, const uint8_t* sample_data);
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#endif // BROTLI_RESEARCH_DEORUMMOLAE_H_
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153
research/dictionary_generator.cc
Executable file
153
research/dictionary_generator.cc
Executable file
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#include <cstdio>
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#include <cstring>
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#include <fstream>
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#include <vector>
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#include "./deorummolae.h"
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#include "./sieve.h"
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#define METHOD_DM 0
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#define METHOD_SIEVE 1
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size_t readInt(const char* str) {
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size_t result = 0;
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if (str[0] == 0 || str[0] == '0') {
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return 0;
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}
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for (size_t i = 0; i < 13; ++i) {
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if (str[i] == 0) {
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return result;
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}
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if (str[i] == 'k' || str[i] == 'K') {
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if ((str[i + 1] == 0) && ((result << 10) > result)) {
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return result << 10;
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}
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return 0;
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}
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if (str[i] == 'm' || str[i] == 'M') {
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if ((str[i + 1] == 0) && ((result << 20) > result)) {
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return result << 20;
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}
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return 0;
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}
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if (str[i] < '0' || str[i] > '9') {
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return 0;
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}
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size_t next = (10 * result) + (str[i] - '0');
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if (next <= result) {
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return 0;
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}
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result = next;
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}
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return 0;
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}
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static std::string readFile(const std::string& path) {
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std::ifstream file(path);
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std::string content(
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(std::istreambuf_iterator<char>(file)), std::istreambuf_iterator<char>());
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return content;
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}
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static void writeFile(const char* file, const std::string& content) {
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std::ofstream outfile(file, std::ofstream::binary);
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outfile.write(content.c_str(), content.size());
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outfile.close();
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}
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/* Returns "base file name" or its tail, if it contains '/' or '\'. */
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static const char* fileName(const char* path) {
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const char* separator_position = strrchr(path, '/');
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if (separator_position) path = separator_position + 1;
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separator_position = strrchr(path, '\\');
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if (separator_position) path = separator_position + 1;
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return path;
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}
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static void printHelp(const char* name) {
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fprintf(stderr, "Usage: %s [OPTION]... DICTIONARY [SAMPLE]...\n", name);
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fprintf(stderr,
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"Options:\n"
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" --dm use 'deorummolae' engine\n"
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" --sieve use 'sieve' engine (default)\n"
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" -t# set target dictionary size (limit); default: 16K\n"
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" -s# set slize length for 'sieve'; default: 33\n"
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"# is a decimal number with optional k/K/m/M suffix.\n\n");
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}
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int main(int argc, char const* argv[]) {
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int dictionaryArg = -1;
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int method = METHOD_SIEVE;
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int sieveSliceLen = 33;
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int targetSize = 16 << 10;
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std::vector<uint8_t> data;
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std::vector<size_t> sizes;
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size_t total = 0;
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for (int i = 1; i < argc; ++i) {
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if (argv[i] == nullptr) {
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continue;
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}
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if (argv[i][0] == '-') {
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if (argv[i][1] == '-') {
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if (std::strcmp("--sieve", argv[i]) == 0) {
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method = METHOD_SIEVE;
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continue;
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}
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if (std::strcmp("--dm", argv[i]) == 0) {
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method = METHOD_DM;
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continue;
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}
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printHelp(fileName(argv[0]));
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fprintf(stderr, "Invalid option '%s'\n", argv[i]);
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exit(1);
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}
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if (argv[i][1] == 's') {
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sieveSliceLen = readInt(&argv[i][2]);
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if (sieveSliceLen < 4 || sieveSliceLen > 256) {
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printHelp(fileName(argv[0]));
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fprintf(stderr, "Invalid option '%s'\n", argv[i]);
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exit(1);
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}
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} else if (argv[i][1] == 't') {
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targetSize = readInt(&argv[i][2]);
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if (targetSize < 256 || targetSize > (1 << 25)) {
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printHelp(fileName(argv[0]));
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fprintf(stderr, "Invalid option '%s'\n", argv[i]);
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exit(1);
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}
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} else {
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printHelp(fileName(argv[0]));
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fprintf(stderr, "Unrecognized option '%s'\n", argv[i]);
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exit(1);
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}
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continue;
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}
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if (dictionaryArg == -1) {
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dictionaryArg = i;
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continue;
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}
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std::string content = readFile(argv[i]);
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data.insert(data.end(), content.begin(), content.end());
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total += content.size();
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sizes.push_back(content.size());
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}
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if (dictionaryArg == -1 || total == 0) {
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printHelp(fileName(argv[0]));
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fprintf(stderr, "Not enough arguments\n");
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exit(1);
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}
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if (method == METHOD_SIEVE) {
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writeFile(argv[dictionaryArg],
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sieve_generate(targetSize, sieveSliceLen, sizes, data.data()));
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} else if (method == METHOD_DM) {
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writeFile(argv[dictionaryArg],
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DM_generate(targetSize, sizes, data.data()));
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} else {
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printHelp(fileName(argv[0]));
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fprintf(stderr, "Unknown generator\n");
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exit(1);
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}
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return 0;
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}
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211
research/sieve.cc
Executable file
211
research/sieve.cc
Executable file
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#include "./sieve.h"
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typedef struct Slot {
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uint32_t next;
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uint32_t offset;
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uint16_t presence;
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uint16_t mark;
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} Slot;
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static size_t dryRun(size_t sliceLen, Slot* map, uint32_t* shortcut, size_t end,
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size_t middle, uint16_t minPresence, uint16_t iteration) {
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int from = -2;
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int to = -1;
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size_t result = 0;
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uint16_t targetPresence = minPresence;
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for (uint32_t i = 0; i < end; ++i) {
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if (i == middle) {
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targetPresence++;
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}
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Slot& item = map[shortcut[i]];
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if (item.mark != iteration) {
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item.mark = iteration;
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if (item.presence >= targetPresence) {
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if (to < i) {
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if (from > 0) {
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result += to - from;
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}
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from = i;
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}
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to = i + sliceLen;
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}
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}
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}
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if (from > 0) {
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result += to - from;
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}
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return result;
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}
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static std::string createDictionary(const uint8_t* data, size_t sliceLen,
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Slot* map, uint32_t* shortcut, size_t end, size_t middle,
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uint16_t minPresence, uint16_t iteration) {
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std::string output;
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int from = -2;
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int to = -1;
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uint16_t targetPresence = minPresence;
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for (uint32_t i = 0; i < end; ++i) {
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if (i == middle) {
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targetPresence++;
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}
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Slot& item = map[shortcut[i]];
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if (item.mark != iteration) {
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item.mark = iteration;
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if (item.presence >= targetPresence) {
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if (to < i) {
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if (from > 0) {
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output.insert(output.end(), &data[from], &data[to]);
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}
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from = i;
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}
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to = i + sliceLen;
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}
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}
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}
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if (from > 0) {
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output.insert(output.end(), &data[from], &data[to]);
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}
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return output;
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}
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std::string sieve_generate(size_t dictionary_size_limit, size_t slice_len,
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const std::vector<size_t>& sample_sizes, const uint8_t* sample_data) {
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/* Parameters aliasing */
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size_t targetSize = dictionary_size_limit;
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size_t sliceLen = slice_len;
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const uint8_t* data = sample_data;
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size_t total = 0;
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std::vector<size_t> offsets;
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for (size_t i = 0; i < sample_sizes.size(); ++i) {
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total += sample_sizes[i];
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offsets.push_back(total);
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}
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/*****************************************************************************
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* Build coverage map.
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****************************************************************************/
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std::vector<Slot> map;
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std::vector<uint32_t> shortcut;
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map.push_back({0, 0, 0, 0});
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size_t end = total - sliceLen;
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int hashLen = 8;
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while ((1 << hashLen) < end) {
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hashLen += 3;
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}
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hashLen -= 3;
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uint32_t hashMask = (1u << hashLen) - 1u;
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std::vector<uint32_t> hashHead(1 << hashLen);
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uint32_t hashSlot = 1;
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uint16_t piece = 0;
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uint32_t hash = 0;
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int lShift = 3;
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int rShift = hashLen - lShift;
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for (int i = 0; i < sliceLen - 1; ++i) {
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uint32_t v = data[i];
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hash = (((hash << lShift) | (hash >> rShift)) & hashMask) ^ v;
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}
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int lShiftX = (lShift * (sliceLen - 1)) % hashLen;
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int rShiftX = hashLen - lShiftX;
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for (uint32_t i = 0; i < end; ++i) {
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uint32_t v = data[i + sliceLen - 1];
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hash = (((hash << lShift) | (hash >> rShift)) & hashMask) ^ v;
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if (offsets[piece] == i) {
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piece++;
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}
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uint32_t slot = hashHead[hash];
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while (slot != 0) {
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Slot& item = map[slot];
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int start = item.offset;
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bool miss = false;
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for (size_t j = 0; j < sliceLen; ++j) {
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if (data[i + j] != data[start + j]) {
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miss = true;
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break;
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}
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}
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if (!miss) {
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if (item.mark != piece) {
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item.mark = piece;
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item.presence++;
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}
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shortcut.push_back(slot);
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break;
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}
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slot = item.next;
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}
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if (slot == 0) {
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map.push_back({hashHead[hash], i, 1, piece});
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hashHead[hash] = hashSlot;
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shortcut.push_back(hashSlot);
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hashSlot++;
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}
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v = data[i];
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hash ^= ((v << lShiftX) | (v >> rShiftX)) & hashMask;
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}
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/*****************************************************************************
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* Build dictionary of specified size.
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****************************************************************************/
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size_t a = 1;
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size_t size = dryRun(
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sliceLen, map.data(), shortcut.data(), end, end, a, ++piece);
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/* Maximal output is smaller than target. */
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if (size <= targetSize) {
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return createDictionary(
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data, sliceLen, map.data(), shortcut.data(), end, end, a, ++piece);
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}
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size_t b = offsets.size();
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size = dryRun(sliceLen, map.data(), shortcut.data(), end, end, b, ++piece);
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if (size == targetSize) {
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return createDictionary(
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data, sliceLen, map.data(), shortcut.data(), end, end, b, ++piece);
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}
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/* Run binary search. */
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if (size < targetSize) {
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/* size(a) > targetSize > size(b) && a < m < b */
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while (a + 1 < b) {
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size_t m = (a + b) / 2;
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size = dryRun(
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sliceLen, map.data(), shortcut.data(), end, end, m, ++piece);
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if (size < targetSize) {
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b = m;
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} else if (size > targetSize) {
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a = m;
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} else {
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return createDictionary(
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data, sliceLen, map.data(), shortcut.data(), end, end, b, ++piece);
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}
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}
|
||||
} else {
|
||||
a = b;
|
||||
}
|
||||
/* size(minPresence) > targetSize > size(minPresence + 1) */
|
||||
size_t minPresence = a;
|
||||
a = 0;
|
||||
b = end;
|
||||
/* size(a) < targetSize < size(b) && a < m < b */
|
||||
while (a + 1 < b) {
|
||||
size_t m = (a + b) / 2;
|
||||
size = dryRun(
|
||||
sliceLen, map.data(), shortcut.data(), end, m, minPresence, ++piece);
|
||||
if (size < targetSize) {
|
||||
a = m;
|
||||
} else if (size > targetSize) {
|
||||
b = m;
|
||||
} else {
|
||||
return createDictionary(data, sliceLen, map.data(), shortcut.data(), end,
|
||||
m, minPresence, ++piece);
|
||||
}
|
||||
}
|
||||
|
||||
bool unrestricted = false;
|
||||
if (minPresence <= 2 && !unrestricted) {
|
||||
minPresence = 2;
|
||||
a = end;
|
||||
}
|
||||
return createDictionary(data, sliceLen, map.data(), shortcut.data(), end, a,
|
||||
minPresence, ++piece);
|
||||
}
|
21
research/sieve.h
Executable file
21
research/sieve.h
Executable file
@ -0,0 +1,21 @@
|
||||
#ifndef BROTLI_RESEARCH_SIEVE_H_
|
||||
#define BROTLI_RESEARCH_SIEVE_H_
|
||||
|
||||
#include <stddef.h>
|
||||
#include <stdint.h>
|
||||
|
||||
#include <string>
|
||||
#include <vector>
|
||||
|
||||
/**
|
||||
* Generate a dictionary for given samples.
|
||||
*
|
||||
* @param dictionary_size_limit maximal dictionary size
|
||||
* @param sample_sizes vector with sample sizes
|
||||
* @param sample_data concatenated samples
|
||||
* @return generated dictionary
|
||||
*/
|
||||
std::string sieve_generate(size_t dictionary_size_limit, size_t slice_len,
|
||||
const std::vector<size_t>& sample_sizes, const uint8_t* sample_data);
|
||||
|
||||
#endif // BROTLI_RESEARCH_SIEVE_H_
|
Loading…
Reference in New Issue
Block a user