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https://github.com/moses-smt/mosesdecoder.git
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38e145e556
Reduce creating std::string objects, too. In both ScoreArray and FeatureArray classes, the private members to track sentence indices (namely, "m_index") were unnecessarily declared as std::string, but it's better to directly declare them as 'int'.
86 lines
2.0 KiB
C++
86 lines
2.0 KiB
C++
/*
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* FeatureArray.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_ARRAY_H_
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#define MERT_FEATURE_ARRAY_H_
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#include <vector>
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#include <iosfwd>
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#include "FeatureStats.h"
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namespace MosesTuning
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{
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const char FEATURES_TXT_BEGIN[] = "FEATURES_TXT_BEGIN_0";
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const char FEATURES_TXT_END[] = "FEATURES_TXT_END_0";
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const char FEATURES_BIN_BEGIN[] = "FEATURES_BIN_BEGIN_0";
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const char FEATURES_BIN_END[] = "FEATURES_BIN_END_0";
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class FeatureArray
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{
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private:
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// idx to identify the utterance. It can differ from
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// the index inside the vector.
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int m_index;
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featarray_t m_array;
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std::size_t m_num_features;
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std::string m_features;
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public:
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FeatureArray();
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~FeatureArray();
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void clear() { m_array.clear(); }
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int getIndex() const { return m_index; }
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void setIndex(const int value) { m_index = value; }
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FeatureStats& get(std::size_t i) { return m_array.at(i); }
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const FeatureStats& get(std::size_t i) const { return m_array.at(i); }
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void add(FeatureStats& e) { m_array.push_back(e); }
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//ADDED BY TS
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void swap(std::size_t i, std::size_t j) {
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std::swap(m_array[i], m_array[j]);
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}
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void resize(std::size_t new_size) {
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m_array.resize(std::min(new_size, m_array.size()));
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}
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//END_ADDED
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void merge(FeatureArray& e);
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std::size_t size() const { return m_array.size(); }
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std::size_t NumberOfFeatures() const { return m_num_features; }
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void NumberOfFeatures(std::size_t v) { m_num_features = v; }
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std::string Features() const { return m_features; }
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void Features(const std::string& f) { m_features = f; }
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void savetxt(std::ostream* os);
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void savebin(std::ostream* os);
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void save(std::ostream* os, bool bin=false);
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void save(const std::string &file, bool bin=false);
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void save(bool bin=false);
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void loadtxt(std::istream* is, const SparseVector& sparseWeights, std::size_t n);
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void loadbin(std::istream* is, std::size_t n);
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void load(std::istream* is, const SparseVector& sparseWeights);
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bool check_consistency() const;
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};
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}
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#endif // MERT_FEATURE_ARRAY_H_
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