235 lines
7.0 KiB
C++
235 lines
7.0 KiB
C++
#pragma once
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#include <iostream>
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#include <fstream>
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#include <map>
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#include <string>
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#include <cstring>
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#include <cstdlib>
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#include <stdint.h>
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#include <cmath>
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#include <limits>
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#include "limonp/StringUtil.hpp"
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#include "limonp/Logging.hpp"
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#include "Unicode.hpp"
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#include "DatTrie.hpp"
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#include <QDebug>
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namespace cppjieba {
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using namespace limonp;
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const double MAX_DOUBLE = 3.14e+100;
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const size_t DICT_COLUMN_NUM = 3;
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const char* const UNKNOWN_TAG = "";
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class DictTrie {
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public:
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enum UserWordWeightOption {
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WordWeightMin,
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WordWeightMedian,
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WordWeightMax,
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}; // enum UserWordWeightOption
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DictTrie(const string& dict_path, const string& user_dict_paths = "", const string & dat_cache_path = "",
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UserWordWeightOption user_word_weight_opt = WordWeightMedian) {
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Init(dict_path, user_dict_paths, dat_cache_path, user_word_weight_opt);
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}
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~DictTrie() {}
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const DatMemElem* Find(const string & word) const {
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return dat_.Find(word);
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}
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void FindDatDag(RuneStrArray::const_iterator begin,
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RuneStrArray::const_iterator end,
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vector<struct DatDag>&res,
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size_t max_word_len = MAX_WORD_LENGTH) const {
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dat_.Find(begin, end, res, max_word_len);
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}
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void FindWordRange(RuneStrArray::const_iterator begin,
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RuneStrArray::const_iterator end,
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vector<WordRange>& words,
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size_t max_word_len = MAX_WORD_LENGTH) const {
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dat_.Find(begin, end, words, max_word_len);
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}
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bool IsUserDictSingleChineseWord(const Rune& word) const {
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return IsIn(user_dict_single_chinese_word_, word);
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}
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double GetMinWeight() const {
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return dat_.GetMinWeight();
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}
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size_t GetTotalDictSize() const {
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return total_dict_size_;
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}
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void InserUserDictNode(const string& line, bool saveNodeInfo = true) {
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vector<string> buf;
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DatElement node_info;
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Split(line, buf, " ");
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if (buf.size() == 0) {
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return;
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}
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node_info.word = buf[0];
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node_info.weight = user_word_default_weight_;
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node_info.tag = UNKNOWN_TAG;
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if (buf.size() == 2) {
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node_info.tag = buf[1];
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} else if (buf.size() == 3) {
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if (freq_sum_ > 0.0) {
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const int freq = atoi(buf[1].c_str());
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node_info.weight = log(1.0 * freq / freq_sum_);
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node_info.tag = buf[2];
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}
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}
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if (saveNodeInfo) {
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static_node_infos_.push_back(node_info);
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}
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if (Utf8CharNum(node_info.word) == 1) {
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RuneArray word;
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if (DecodeRunesInString(node_info.word, word)) {
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user_dict_single_chinese_word_.insert(word[0]);
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} else {
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XLOG(ERROR) << "Decode " << node_info.word << " failed.";
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}
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}
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}
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void LoadUserDict(const string& filePaths, bool saveNodeInfo = true) {
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vector<string> files = limonp::Split(filePaths, "|;");
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for (size_t i = 0; i < files.size(); i++) {
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ifstream ifs(files[i].c_str());
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XCHECK(ifs.is_open()) << "open " << files[i] << " failed";
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string line;
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for (; getline(ifs, line);) {
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if (line.size() == 0) {
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continue;
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}
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InserUserDictNode(line, saveNodeInfo);
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}
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}
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}
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private:
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void Init(const string& dict_path, const string& user_dict_paths, string dat_cache_path,
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UserWordWeightOption user_word_weight_opt) {
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const auto dict_list = dict_path + "|" + user_dict_paths;
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size_t file_size_sum = 0;
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const string md5 = CalcFileListMD5(dict_list, file_size_sum);
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total_dict_size_ = file_size_sum;
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if (dat_cache_path.empty()) {
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dat_cache_path = "/tmp/" + md5 + ".dat_";//未指定词库数据文件存储位置的默认存储在tmp目录下
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}
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dat_cache_path += VERSION;
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QString path = QString::fromStdString(dat_cache_path);
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qDebug() << "#########Dict path:" << path;
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if (dat_.InitAttachDat(dat_cache_path, md5)) {
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LoadUserDict(user_dict_paths, false); // for load user_dict_single_chinese_word_;
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return;
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}
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LoadDefaultDict(dict_path);
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freq_sum_ = CalcFreqSum(static_node_infos_);
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CalculateWeight(static_node_infos_, freq_sum_);
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double min_weight = 0;
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SetStaticWordWeights(user_word_weight_opt, min_weight);
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dat_.SetMinWeight(min_weight);
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LoadUserDict(user_dict_paths);
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const auto build_ret = dat_.InitBuildDat(static_node_infos_, dat_cache_path, md5);
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assert(build_ret);
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vector<DatElement>().swap(static_node_infos_);
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}
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void LoadDefaultDict(const string& filePath) {
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ifstream ifs(filePath.c_str());
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XCHECK(ifs.is_open()) << "open " << filePath << " failed.";
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string line;
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vector<string> buf;
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for (; getline(ifs, line);) {
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Split(line, buf, " ");
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XCHECK(buf.size() == DICT_COLUMN_NUM) << "split result illegal, line:" << line;
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DatElement node_info;
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node_info.word = buf[0];
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node_info.weight = atof(buf[1].c_str());
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node_info.tag = buf[2];
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static_node_infos_.push_back(node_info);
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}
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}
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static bool WeightCompare(const DatElement& lhs, const DatElement& rhs) {
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return lhs.weight < rhs.weight;
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}
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void SetStaticWordWeights(UserWordWeightOption option, double & min_weight) {
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XCHECK(!static_node_infos_.empty());
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vector<DatElement> x = static_node_infos_;
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sort(x.begin(), x.end(), WeightCompare);
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if(x.empty()){
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return;
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}
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min_weight = x[0].weight;
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const double max_weight_ = x[x.size() - 1].weight;
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const double median_weight_ = x[x.size() / 2].weight;
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switch (option) {
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case WordWeightMin:
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user_word_default_weight_ = min_weight;
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break;
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case WordWeightMedian:
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user_word_default_weight_ = median_weight_;
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break;
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default:
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user_word_default_weight_ = max_weight_;
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break;
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}
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}
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double CalcFreqSum(const vector<DatElement>& node_infos) const {
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double sum = 0.0;
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for (size_t i = 0; i < node_infos.size(); i++) {
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sum += node_infos[i].weight;
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}
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return sum;
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}
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void CalculateWeight(vector<DatElement>& node_infos, double sum) const {
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for (size_t i = 0; i < node_infos.size(); i++) {
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DatElement& node_info = node_infos[i];
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assert(node_info.weight > 0.0);
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node_info.weight = log(double(node_info.weight) / sum);
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}
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}
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private:
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vector<DatElement> static_node_infos_;
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size_t total_dict_size_ = 0;
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DatTrie dat_;
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double freq_sum_;
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double user_word_default_weight_;
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unordered_set<Rune> user_dict_single_chinese_word_;
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};
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}
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