mirror of
https://github.com/moses-smt/mosesdecoder.git
synced 2025-01-06 19:49:41 +03:00
240 lines
5.7 KiB
C++
240 lines
5.7 KiB
C++
/*
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* LanguageModelDALM.cpp
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*
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* Created on: 5 Dec 2015
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* Author: hieu
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*/
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#include "LanguageModelDALM.h"
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#include "../TypeDef.h"
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#include "../System.h"
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#include "dalm.h"
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#include "util/exception.hh"
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#include "../legacy/InputFileStream.h"
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using namespace std;
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namespace Moses2
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{
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//////////////////////////////////////////////////////////////////////////////////////////
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class Murmur: public DALM::State::HashFunction
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{
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public:
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Murmur(std::size_t seed=0): seed(seed) {
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}
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virtual std::size_t operator()(const DALM::VocabId *words, std::size_t size) const {
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return util::MurmurHashNative(words, sizeof(DALM::VocabId) * size, seed);
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}
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private:
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std::size_t seed;
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};
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//////////////////////////////////////////////////////////////////////////////////////////
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class DALMState : public FFState
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{
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private:
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DALM::State state;
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public:
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DALMState() {
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}
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DALMState(const DALMState &from) {
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state = from.state;
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}
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virtual ~DALMState() {
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}
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void reset(const DALMState &from) {
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state = from.state;
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}
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virtual int Compare(const FFState& other) const {
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const DALMState &o = static_cast<const DALMState &>(other);
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if(state.get_count() < o.state.get_count()) return -1;
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else if(state.get_count() > o.state.get_count()) return 1;
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else return state.compare(o.state);
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}
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virtual size_t hash() const {
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// imitate KenLM
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return state.hash(Murmur());
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}
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virtual bool operator==(const FFState& other) const {
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const DALMState &o = static_cast<const DALMState &>(other);
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return state.compare(o.state) == 0;
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}
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DALM::State &get_state() {
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return state;
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}
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void refresh() {
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state.refresh();
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}
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virtual std::string ToString() const
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{ return "DALM state"; }
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};
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//////////////////////////////////////////////////////////////////////////////////////////////////////
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inline void read_ini(const char *inifile, string &model, string &words, string &wordstxt)
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{
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ifstream ifs(inifile);
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string line;
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getline(ifs, line);
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while(ifs) {
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unsigned int pos = line.find("=");
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string key = line.substr(0, pos);
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string value = line.substr(pos+1, line.size()-pos);
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if(key=="MODEL") {
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model = value;
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} else if(key=="WORDS") {
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words = value;
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} else if(key=="WORDSTXT") {
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wordstxt = value;
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}
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getline(ifs, line);
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}
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}
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/////////////////////////
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LanguageModelDALM::LanguageModelDALM(size_t startInd, const std::string &line)
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:StatefulFeatureFunction(startInd, line)
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{
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ReadParameters();
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}
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LanguageModelDALM::~LanguageModelDALM() {
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// TODO Auto-generated destructor stub
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}
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void LanguageModelDALM::Load(System &system)
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{
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/////////////////////
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// READING INIFILE //
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/////////////////////
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string inifile= m_filePath + "/dalm.ini";
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string model; // Path to the double-array file.
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string words; // Path to the vocabulary file.
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string wordstxt; //Path to the vocabulary file in text format.
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read_ini(inifile.c_str(), model, words, wordstxt);
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model = m_filePath + "/" + model;
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words = m_filePath + "/" + words;
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wordstxt = m_filePath + "/" + wordstxt;
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UTIL_THROW_IF(model.empty() || words.empty() || wordstxt.empty(),
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util::FileOpenException,
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"Failed to read DALM ini file " << m_filePath << ". Probably doesn't exist");
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////////////////
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// LOADING LM //
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////////////////
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// Preparing a logger object.
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m_logger = new DALM::Logger(stderr);
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m_logger->setLevel(DALM::LOGGER_INFO);
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// Load the vocabulary file.
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m_vocab = new DALM::Vocabulary(words, *m_logger);
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// Load the language model.
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m_lm = new DALM::LM(model, *m_vocab, m_nGramOrder, *m_logger);
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wid_start = m_vocab->lookup(BOS_);
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wid_end = m_vocab->lookup(EOS_);
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// vocab mapping
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CreateVocabMapping(wordstxt, system);
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m_beginSentenceFactor = system.GetVocab().AddFactor(BOS_, system);
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}
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void LanguageModelDALM::CreateVocabMapping(const std::string &wordstxt, const System &system)
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{
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InputFileStream vocabStrm(wordstxt);
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std::vector< std::pair<std::size_t, DALM::VocabId> > vlist;
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string line;
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std::size_t max_fid = 0;
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while(getline(vocabStrm, line)) {
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const Factor *factor = system.GetVocab().AddFactor(line, system);
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std::size_t fid = factor->GetId();
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DALM::VocabId wid = m_vocab->lookup(line.c_str());
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vlist.push_back(std::pair<std::size_t, DALM::VocabId>(fid, wid));
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if(max_fid < fid) max_fid = fid;
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}
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for(std::size_t i = 0; i < m_vocabMap.size(); i++) {
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m_vocabMap[i] = m_vocab->unk();
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}
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m_vocabMap.resize(max_fid+1, m_vocab->unk());
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std::vector< std::pair<std::size_t, DALM::VocabId> >::iterator it = vlist.begin();
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while(it != vlist.end()) {
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std::pair<std::size_t, DALM::VocabId> &entry = *it;
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m_vocabMap[entry.first] = entry.second;
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++it;
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}
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}
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void LanguageModelDALM::SetParameter(const std::string& key, const std::string& value)
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{
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if (key == "factor") {
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m_factorType = Scan<FactorType>(value);
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} else if (key == "order") {
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m_nGramOrder = Scan<size_t>(value);
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} else if (key == "path") {
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m_filePath = value;
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} else {
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StatefulFeatureFunction::SetParameter(key, value);
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}
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m_ContextSize = m_nGramOrder-1;
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}
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FFState* LanguageModelDALM::BlankState(MemPool &pool) const
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{
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DALMState *state = new DALMState();
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return state;
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}
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void LanguageModelDALM::EmptyHypothesisState(FFState &state,
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const Manager &mgr,
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const InputType &input,
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const Hypothesis &hypo) const
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{
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DALMState &dalmState = static_cast<DALMState&>(state);
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m_lm->init_state(dalmState.get_state());
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}
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void LanguageModelDALM::EvaluateInIsolation(MemPool &pool,
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const System &system,
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const Phrase &source,
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const TargetPhrase &targetPhrase,
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Scores &scores,
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SCORE *estimatedScore) const
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{
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}
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void LanguageModelDALM::EvaluateWhenApplied(const Manager &mgr,
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const Hypothesis &hypo,
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const FFState &prevState,
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Scores &scores,
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FFState &state) const
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{
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}
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}
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