mirror of
https://github.com/moses-smt/mosesdecoder.git
synced 2024-12-28 06:22:14 +03:00
eb2c9ee5e3
Squashed commit of the following: - Clean up PRO. - Clean up ScoreStats. - Clean up ScoreData. - Clean up ScoreArray. - Remove unnecessary headers. - Clean up ScopedVector. - Clean up Point. - Clean up PerScorer. - Clean up Optimizer. - Clean up MergeScorer. - Clean up InterpolatedScorer. - Clean up FileStream. - Clean up FeatureStats. - Remove inefficient string concatenation. - Clean up FeatureData. - Clean up FeatureArray. - Clean up Data.
142 lines
3.0 KiB
C++
142 lines
3.0 KiB
C++
/*
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* FeatureStats.h
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* mert - Minimum Error Rate Training
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*
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* Created by Nicola Bertoldi on 13/05/08.
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*
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*/
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#ifndef MERT_FEATURE_STATS_H_
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#define MERT_FEATURE_STATS_H_
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#include <cstring>
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#include <fstream>
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#include <iostream>
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#include <map>
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#include <string>
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#include <vector>
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#include "Types.h"
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using namespace std;
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// Minimal sparse vector
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class SparseVector {
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public:
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typedef std::map<size_t,FeatureStatsType> fvector_t;
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typedef std::map<std::string, size_t> name2id_t;
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typedef std::vector<std::string> id2name_t;
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FeatureStatsType get(const std::string& name) const;
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FeatureStatsType get(size_t id) const;
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void set(const std::string& name, FeatureStatsType value);
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void clear();
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size_t size() const {
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return m_fvector.size();
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}
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void write(std::ostream& out, const std::string& sep = " ") const;
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SparseVector& operator-=(const SparseVector& rhs);
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private:
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static name2id_t m_name_to_id;
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static id2name_t m_id_to_name;
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fvector_t m_fvector;
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};
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SparseVector operator-(const SparseVector& lhs, const SparseVector& rhs);
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class FeatureStats
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{
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private:
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size_t m_available_size;
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size_t m_entries;
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// TODO: Use smart pointer for exceptional-safety.
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featstats_t m_array;
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SparseVector m_map;
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public:
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FeatureStats();
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explicit FeatureStats(const size_t size);
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explicit FeatureStats(std::string &theString);
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~FeatureStats();
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// We intentionally allow copying.
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FeatureStats(const FeatureStats &stats);
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FeatureStats& operator=(const FeatureStats &stats);
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void Copy(const FeatureStats &stats);
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bool isfull() const {
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return (m_entries < m_available_size) ? 0 : 1;
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}
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void expand();
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void add(FeatureStatsType v);
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void addSparse(const string& name, FeatureStatsType v);
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void clear() {
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memset((void*)m_array, 0, GetArraySizeWithBytes());
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m_map.clear();
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}
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void reset() {
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m_entries = 0;
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clear();
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}
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inline FeatureStatsType get(size_t i) {
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return m_array[i];
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}
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inline FeatureStatsType get(size_t i)const {
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return m_array[i];
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}
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inline featstats_t getArray() const {
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return m_array;
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}
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inline const SparseVector& getSparse() const {
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return m_map;
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}
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void set(std::string &theString);
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inline size_t bytes() const {
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return GetArraySizeWithBytes();
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}
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size_t GetArraySizeWithBytes() const {
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return m_entries * sizeof(FeatureStatsType);
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}
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inline size_t size() const {
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return m_entries;
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}
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inline size_t available() const {
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return m_available_size;
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}
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void savetxt(const std::string &file);
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void savetxt(ofstream& outFile);
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void savebin(ofstream& outFile);
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inline void savetxt() {
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savetxt("/dev/stdout");
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}
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void loadtxt(const std::string &file);
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void loadtxt(ifstream& inFile);
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void loadbin(ifstream& inFile);
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/**
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* Write the whole object to a stream.
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*/
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friend ostream& operator<<(ostream& o, const FeatureStats& e);
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};
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//ADEED_BY_TS
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bool operator==(const FeatureStats& f1, const FeatureStats& f2);
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//END_ADDED
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#endif // MERT_FEATURE_STATS_H_
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