namespace all classes in mert directory

mert/BleuScorer.cpp

@@ -26,6 +26,10 @@ const char REFLEN_CLOSEST[] = "closest";
 
 } // namespace
 
+namespace MosesTuning
+{
+  
+
 BleuScorer::BleuScorer(const string& config)
     : StatisticsBasedScorer("BLEU", config),
       m_ref_length_type(CLOSEST) {
@@ -273,3 +277,6 @@ float unsmoothedBleu(const std::vector<float>& stats) {
   }
   return exp(logbleu);
 }
+
+}
+

mert/BleuScorer.h

@@ -10,10 +10,13 @@
 #include "StatisticsBasedScorer.h"
 #include "ScopedVector.h"
 
+namespace MosesTuning
+{
+
 const int kBleuNgramOrder = 4;
 
 class NgramCounts;
-class Reference;
+class Reference;  
 
 /**
  * Bleu scoring
@@ -80,4 +83,6 @@ float sentenceLevelBackgroundBleu(const std::vector<float>& sent, const std::vec
  */
 float unsmoothedBleu(const std::vector<float>& stats);
 
+}
+
 #endif  // MERT_BLEU_SCORER_H_

mert/CderScorer.cpp

@@ -14,6 +14,10 @@ inline int CalcDistance(int word1, int word2) {
 
 } // namespace
 
+namespace MosesTuning
+{
+  
+
 CderScorer::CderScorer(const string& config, bool allowed_long_jumps)
     : StatisticsBasedScorer(allowed_long_jumps ? "CDER" : "WER", config),
       m_allowed_long_jumps(allowed_long_jumps) {}
@@ -124,3 +128,5 @@ void CderScorer::computeCD(const sent_t& cand, const sent_t& ref,
 
   delete row;
 }
+
+}

mert/CderScorer.h

@@ -6,6 +6,10 @@
 #include "Types.h"
 #include "StatisticsBasedScorer.h"
 
+namespace MosesTuning
+{
+  
+
 /**
  * CderScorer class can compute both CDER and WER metric.
  */
@@ -38,4 +42,6 @@ class CderScorer: public StatisticsBasedScorer {
   CderScorer& operator=(const CderScorer&);
 };
 
+}
+
 #endif  // MERT_CDER_SCORER_H_

mert/Data.cpp

@@ -19,6 +19,10 @@
 
 using namespace std;
 
+namespace MosesTuning
+{
+  
+
 Data::Data()
   : m_scorer(NULL),
     m_num_scores(0),
@@ -269,3 +273,6 @@ void Data::createShards(size_t shard_count, float shard_size, const string& scor
     //cerr << endl;
   }
 }
+
+}
+

mert/Data.h

@@ -16,6 +16,9 @@
 #include "FeatureData.h"
 #include "ScoreData.h"
 
+namespace MosesTuning
+{
+  
 class Scorer;
 
 typedef boost::shared_ptr<ScoreData> ScoreDataHandle;
@@ -97,4 +100,6 @@ public:
                    const std::string& sentence_index);
 };
 
+}
+
 #endif  // MERT_DATA_H_

mert/Fdstream.h

@@ -13,6 +13,9 @@
 
 #define BUFFER_SIZE (32768)
 
+namespace MosesTuning 
+{
+
 class _fdstream
 {
 protected:
@@ -164,4 +167,6 @@ private:
 #error "Not supported"
 #endif
 
+}
+
 #endif // _FDSTREAM_

mert/FeatureArray.cpp

@@ -14,6 +14,10 @@
 
 using namespace std;
 
+namespace MosesTuning
+{
+  
+
 FeatureArray::FeatureArray()
     : m_index(""), m_num_features(0), m_sparse_flag(false) {}
 
@@ -165,3 +169,6 @@ bool FeatureArray::check_consistency() const
   }
   return true;
 }
+
+}
+

mert/FeatureArray.h

@@ -13,6 +13,10 @@
 #include <iosfwd>
 #include "FeatureStats.h"
 
+namespace MosesTuning
+{
+  
+
 const char FEATURES_TXT_BEGIN[] = "FEATURES_TXT_BEGIN_0";
 const char FEATURES_TXT_END[] = "FEATURES_TXT_END_0";
 const char FEATURES_BIN_BEGIN[] = "FEATURES_BIN_BEGIN_0";
@@ -79,4 +83,6 @@ public:
   bool check_consistency() const;
 };
 
+}
+
 #endif  // MERT_FEATURE_ARRAY_H_

mert/FeatureData.cpp

@@ -14,6 +14,10 @@
 
 using namespace std;
 
+namespace MosesTuning
+{
+  
+
 static const float MIN_FLOAT = -1.0 * numeric_limits<float>::max();
 static const float MAX_FLOAT = numeric_limits<float>::max();
 
@@ -174,3 +178,6 @@ string FeatureData::ToString() const {
 
   return res;
 }
+
+}
+

mert/FeatureData.h

@@ -14,6 +14,10 @@
 #include <stdexcept>
 #include "FeatureArray.h"
 
+namespace MosesTuning
+{
+  
+
 class FeatureData
 {
 private:
@@ -130,4 +134,6 @@ public:
   std::string ToString() const;
 };
 
+}
+
 #endif  // MERT_FEATURE_DATA_H_

mert/FeatureDataIterator.cpp

@@ -29,6 +29,10 @@ Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA
 using namespace std;
 using namespace util;
 
+namespace MosesTuning
+{
+  
+
 int ParseInt(const StringPiece& str ) {
   char* errIndex;
   //could wrap?
@@ -130,3 +134,6 @@ bool FeatureDataIterator::equal(const FeatureDataIterator& rhs) const {
 const vector<FeatureDataItem>& FeatureDataIterator::dereference() const {
   return m_next;
 }
+
+}
+

mert/FeatureDataIterator.h

@@ -37,6 +37,9 @@ Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA
 
 #include "FeatureStats.h"
 
+namespace MosesTuning
+{
+  
 
 class FileFormatException : public util::Exception 
 {
@@ -91,4 +94,6 @@ class FeatureDataIterator :
     std::vector<FeatureDataItem> m_next;
 };
 
+}
+
 #endif  // MERT_FEATURE_DATA_ITERATOR_H_

mert/FeatureStats.cpp

@@ -20,6 +20,10 @@ namespace {
 const int kAvailableSize = 8;
 } // namespace
 
+namespace MosesTuning
+{
+  
+
 SparseVector::name2id_t SparseVector::m_name_to_id;
 SparseVector::id2name_t SparseVector::m_id_to_name;
 
@@ -263,7 +267,6 @@ ostream& operator<<(ostream& o, const FeatureStats& e)
   return o;
 }
 
-//ADEED_BY_TS
 bool operator==(const FeatureStats& f1, const FeatureStats& f2) {
   size_t size = f1.size();
 
@@ -277,4 +280,5 @@ bool operator==(const FeatureStats& f1, const FeatureStats& f2) {
 
   return true;
 }
-//END_ADDED
+
+}

mert/FeatureStats.h

@@ -16,6 +16,10 @@
 #include <vector>
 #include "Types.h"
 
+namespace MosesTuning
+{
+  
+
 // Minimal sparse vector
 class SparseVector {
 public:
@@ -120,8 +124,8 @@ public:
   friend std::ostream& operator<<(std::ostream& o, const FeatureStats& e);
 };
 
-//ADEED_BY_TS
 bool operator==(const FeatureStats& f1, const FeatureStats& f2);
-//END_ADDED
+
+}
 
 #endif  // MERT_FEATURE_STATS_H_

mert/HypPackEnumerator.cpp

@@ -6,6 +6,10 @@
 
 using namespace std;
 
+namespace MosesTuning
+{
+  
+
 StreamingHypPackEnumerator::StreamingHypPackEnumerator
 (
  vector<std::string> const& featureFiles,
@@ -195,3 +199,5 @@ size_t RandomAccessHypPackEnumerator::cur_id() {
 // mode:c++
 // c-basic-offset:2
 // End:
+
+}

mert/HypPackEnumerator.h

@@ -18,6 +18,10 @@
 #include "ScoreDataIterator.h"
 #include "MiraFeatureVector.h"
 
+namespace MosesTuning
+{
+  
+
 // Start with these abstract classes
 
 class HypPackEnumerator {
@@ -97,6 +101,8 @@ private:
   std::vector<std::vector<ScoreDataItem> > m_scores;
 };
 
+}
+
 #endif // MERT_HYP_PACK_COLLECTION_H
 
 // --Emacs trickery--

mert/InterpolatedScorer.cpp

@@ -4,6 +4,10 @@
 
 using namespace std;
 
+namespace MosesTuning
+{
+  
+
 // TODO: This is too long. Consider creating a function for
 // initialization such as Init().
 InterpolatedScorer::InterpolatedScorer(const string& name, const string& config)
@@ -195,3 +199,6 @@ void InterpolatedScorer::setFilter(const string& filterCommand)
       m_scorers[i]->setFilter(csplit[i]);
     }
 }
+
+}
+

mert/InterpolatedScorer.h

@@ -8,6 +8,10 @@
 #include "Scorer.h"
 #include "ScopedVector.h"
 
+namespace MosesTuning
+{
+  
+
 /**
   * Class that includes other scorers eg.
   * Interpolated HAMMING and BLEU scorer **/
@@ -52,4 +56,6 @@ protected:
   std::vector<float> m_scorer_weights;
 };
 
+}
+
 #endif  // MERT_INTERPOLATED_SCORER_H_

mert/MergeScorer.cpp

@@ -14,6 +14,10 @@
 using namespace std;
 using namespace TERCpp;
 
+namespace MosesTuning
+{
+  
+
 MergeScorer::MergeScorer(const string& config)
     : StatisticsBasedScorer("MERGE", config) {}
 
@@ -121,3 +125,6 @@ float MergeScorer::calculateScore(const std::vector< int >& comps) const
   }
   return result;
 }
+
+}
+

mert/MergeScorer.h

@@ -6,6 +6,10 @@
 
 #include "StatisticsBasedScorer.h"
 
+namespace MosesTuning
+{
+  
+
 class PerScorer;
 class ScoreStats;
 
@@ -33,4 +37,6 @@ protected:
   MergeScorer& operator=(const MergeScorer&);
 };
 
+}
+
 #endif  // MERT_MERGE_SCORER_H_

mert/MiraFeatureVector.cpp

@@ -5,6 +5,10 @@
 
 using namespace std;
 
+namespace MosesTuning
+{
+  
+
 MiraFeatureVector::MiraFeatureVector(const FeatureDataItem& vec)
   : m_dense(vec.dense)
 {
@@ -156,3 +160,6 @@ ostream& operator<<(ostream& o, const MiraFeatureVector& e)
 // mode:c++
 // c-basic-offset:2
 // End:
+
+}
+

mert/MiraFeatureVector.h

@@ -17,6 +17,10 @@
 
 #include "FeatureDataIterator.h"
 
+namespace MosesTuning
+{
+  
+
 typedef FeatureStatsType ValType;
 
 class MiraFeatureVector {
@@ -50,3 +54,5 @@ private:
 // mode:c++
 // c-basic-offset:2
 // End:
+
+}

mert/MiraWeightVector.cpp

@@ -4,6 +4,10 @@
 
 using namespace std;
 
+namespace MosesTuning
+{
+  
+
 /**
  * Constructor, initializes to the zero vector
  */
@@ -156,3 +160,5 @@ size_t AvgWeightVector::size() const {
 // mode:c++
 // c-basic-offset:2
 // End:
+}
+

mert/MiraWeightVector.h

@@ -15,6 +15,10 @@
 
 #include "MiraFeatureVector.h"
 
+namespace MosesTuning
+{
+  
+
 class AvgWeightVector;
 
 class MiraWeightVector {
@@ -105,3 +109,5 @@ private:
 // mode:c++
 // c-basic-offset:2
 // End:
+
+}

mert/Ngram.h

@@ -5,6 +5,9 @@
 #include <map>
 #include <string>
 
+namespace MosesTuning
+{
+  
 /** A simple STL-std::map based n-gram counts. Basically, we provide
  * typical accessors and mutaors, but we intentionally does not allow
  * erasing elements.
@@ -95,4 +98,6 @@ class NgramCounts {
   std::map<Key, Value, NgramComparator> m_counts;
 };
 
+}
+
 #endif  // MERT_NGRAM_H_

mert/Optimizer.cpp

@@ -33,6 +33,10 @@ inline float intersect(float m1, float b1, float m2, float b2)
 
 } // namespace
 
+namespace MosesTuning
+{
+  
+
 Optimizer::Optimizer(unsigned Pd, const vector<unsigned>& i2O, const vector<bool>& pos, const vector<parameter_t>& start, unsigned int nrandom)
   : m_scorer(NULL), m_feature_data(), m_num_random_directions(nrandom), m_positive(pos)
 {
@@ -472,3 +476,5 @@ statscore_t RandomOptimizer::TrueRun(Point& P) const
   P.SetScore(score);
   return score;
 }
+
+}

mert/Optimizer.h

@@ -10,6 +10,10 @@
 
 static const float kMaxFloat = std::numeric_limits<float>::max();
 
+namespace MosesTuning
+{
+  
+
 class Point;
 
 /**
@@ -109,4 +113,6 @@ public:
   virtual statscore_t TrueRun(Point&) const;
 };
 
+}
+
 #endif  // OPTIMIZER_H

mert/OptimizerFactory.cpp

@@ -3,6 +3,10 @@
 
 using namespace std;
 
+namespace MosesTuning
+{
+  
+
 vector<string> OptimizerFactory::m_type_names;
 
 void OptimizerFactory::SetTypeNames()
@@ -65,3 +69,5 @@ Optimizer* OptimizerFactory::BuildOptimizer(unsigned dim,
       return NULL;
   }
 }
+
+}

mert/OptimizerFactory.h

@@ -4,6 +4,10 @@
 #include <vector>
 #include "Types.h"
 
+namespace MosesTuning
+{
+  
+
 class Optimizer;
 
 class OptimizerFactory
@@ -39,4 +43,7 @@ class OptimizerFactory
   static std::vector<std::string> m_type_names;
 };
 
+}
+
+
 #endif  // MERT_OPTIMIZER_FACTORY_H_

mert/PerScorer.cpp

@@ -8,6 +8,10 @@
 
 using namespace std;
 
+namespace MosesTuning
+{
+  
+
 PerScorer::PerScorer(const string& config)
   : StatisticsBasedScorer("PER",config) {}
 
@@ -86,3 +90,6 @@ float PerScorer::calculateScore(const vector<int>& comps) const
     return num/denom;
   }
 }
+
+}
+

mert/PerScorer.h

@@ -7,6 +7,10 @@
 #include "Types.h"
 #include "StatisticsBasedScorer.h"
 
+namespace MosesTuning
+{
+  
+
 class ScoreStats;
 
 /**
@@ -36,4 +40,6 @@ private:
   std::vector<std::multiset<int> > m_ref_tokens;
 };
 
+}
+
 #endif  // MERT_PER_SCORER_H_

mert/Permutation.cpp

@@ -14,6 +14,10 @@
 
 using namespace std;
 
+namespace MosesTuning
+{
+  
+
 Permutation::Permutation(const string &alignment, const int sourceLength, const int targetLength )
 {
   if (sourceLength > 0) {
@@ -318,3 +322,5 @@ string Permutation::convertMosesToStandard(string const & alignment)
   return out;
 }
 
+}
+

mert/Permutation.h

@@ -17,6 +17,9 @@
 
 #include "Util.h"
 
+namespace MosesTuning
+{
+  
 
 class Permutation
 {
@@ -63,4 +66,6 @@ private:
 };
 
 
+}
+
 #endif

mert/PermutationScorer.cpp

@@ -3,6 +3,10 @@
 
 using namespace std;
 
+namespace MosesTuning
+{
+  
+
 const int PermutationScorer::SCORE_PRECISION = 5;
 
 PermutationScorer::PermutationScorer(const string &distanceMetric, const string &config)
@@ -214,3 +218,5 @@ statscore_t PermutationScorer::calculateScore(const vector<int>& comps) const
   return comps[0];
 }
 
+}
+

mert/PermutationScorer.h

@@ -17,6 +17,9 @@
 #include "Permutation.h"
 #include "StatisticsBasedScorer.h"
 
+namespace MosesTuning
+{
+  
 /**
   * Permutation
  **/
@@ -60,6 +63,8 @@ private:
 };
 //TODO need to read in floats for scores - necessary for selecting mean reference strategy and for BLEU?
 
+}
 
 #endif //__PERMUTATIONSCORER_H
 
+

mert/Point.cpp

@@ -8,6 +8,9 @@
 
 using namespace std;
 
+namespace MosesTuning
+{
+
 vector<unsigned> Point::m_opt_indices;
 
 unsigned Point::m_dim = 0;
@@ -156,3 +159,6 @@ void Point::GetAllWeights(vector<parameter_t>& w) const
     }
   }
 }
+
+}
+

mert/Point.h

@@ -6,6 +6,10 @@
 #include <vector>
 #include "Types.h"
 
+namespace MosesTuning
+{
+  
+
 class FeatureStats;
 class Optimizer;
 
@@ -100,4 +104,6 @@ public:
   void SetScore(statscore_t score) { m_score = score; }
 };
 
+}
+
 #endif  // MERT_POINT_H

mert/PreProcessFilter.cpp

@@ -16,6 +16,10 @@ using namespace std;
 #define CHILD_STDERR_READ pipefds_error[0]
 #define CHILD_STDERR_WRITE pipefds_error[1]
 
+namespace MosesTuning
+{
+  
+
 // Child exec error signal
 void exec_failed (int sig)
 {
@@ -135,3 +139,6 @@ PreProcessFilter::~PreProcessFilter()
     delete m_toFilter;
     delete m_fromFilter;
 }
+
+}
+

mert/PreProcessFilter.h

@@ -3,6 +3,10 @@
 
 #include <string>
 
+namespace MosesTuning
+{
+  
+
 class ofdstream;
 class ifdstream;
 
@@ -22,4 +26,6 @@ private:
     ifdstream* m_fromFilter;
 };
 
+}
+
 #endif  // MERT_PREPROCESSFILTER_H_

mert/Reference.h

@@ -7,6 +7,10 @@
 
 #include "Ngram.h"
 
+namespace MosesTuning
+{
+  
+
 /**
  * Reference class represents reference translations for an output
  * translation used in calculating BLEU score.
@@ -79,4 +83,7 @@ inline int Reference::CalcShortest() const {
   return *std::min_element(m_length.begin(), m_length.end());
 }
 
+}
+
+
 #endif  // MERT_REFERENCE_H_

mert/ScopedVector.h

@@ -3,6 +3,9 @@
 
 #include <vector>
 
+namespace MosesTuning
+{
+  
 template <class T>
 class ScopedVector {
  public:
@@ -51,4 +54,6 @@ class ScopedVector {
   void operator=(const ScopedVector<T>&);
 };
 
+}
+
 #endif // MERT_SCOPED_VECTOR_H_

mert/ScoreArray.cpp

@@ -12,6 +12,10 @@
 
 using namespace std;
 
+namespace MosesTuning
+{
+  
+
 ScoreArray::ScoreArray()
     : m_num_scores(0), m_index("") {}
 
@@ -160,3 +164,6 @@ bool ScoreArray::check_consistency() const
   }
   return true;
 }
+
+}
+

mert/ScoreArray.h

@@ -15,6 +15,9 @@
 
 #include "ScoreStats.h"
 
+namespace MosesTuning
+{
+  
 const char SCORES_TXT_BEGIN[] = "SCORES_TXT_BEGIN_0";
 const char SCORES_TXT_END[] = "SCORES_TXT_END_0";
 const char SCORES_BIN_BEGIN[] = "SCORES_BIN_BEGIN_0";
@@ -83,4 +86,6 @@ public:
   bool check_consistency() const;
 };
 
+}
+
 #endif  // MERT_SCORE_ARRAY_H_

mert/ScoreData.cpp

@@ -16,6 +16,10 @@
 
 using namespace std;
 
+namespace MosesTuning
+{
+  
+
 ScoreData::ScoreData(Scorer* scorer) :
   m_scorer(scorer)
 {
@@ -133,3 +137,6 @@ void ScoreData::setIndex()
     j++;
   }
 }
+
+}
+

mert/ScoreData.h

@@ -16,6 +16,10 @@
 #include "ScoreArray.h"
 #include "ScoreStats.h"
 
+namespace MosesTuning
+{
+  
+
 class Scorer;
 
 class ScoreData
@@ -105,4 +109,6 @@ public:
   }
 };
 
+}
+
 #endif  // MERT_SCORE_DATA_H_

mert/ScoreDataIterator.cpp

@@ -26,6 +26,10 @@ Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA
 using namespace std;
 using namespace util;
 
+namespace MosesTuning
+{
+  
+
 ScoreDataIterator::ScoreDataIterator() {}
 
 ScoreDataIterator::ScoreDataIterator(const string& filename) {
@@ -87,3 +91,5 @@ const vector<ScoreDataItem>& ScoreDataIterator::dereference() const {
   return m_next;
 }
 
+}
+

mert/ScoreDataIterator.h

@@ -34,6 +34,10 @@ Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA
 
 #include "FeatureDataIterator.h"
 
+namespace MosesTuning
+{
+  
+
 typedef std::vector<float> ScoreDataItem;
 
 class ScoreDataIterator :
@@ -62,4 +66,7 @@ class ScoreDataIterator :
     std::vector<ScoreDataItem> m_next;
 };
 
+}
+
+
 #endif  // MERT_SCORE_DATA_ITERATOR_H_

mert/ScoreStats.cpp

@@ -17,6 +17,10 @@ namespace {
 const int kAvailableSize = 8;
 } // namespace
 
+namespace MosesTuning
+{
+  
+
 ScoreStats::ScoreStats()
     : m_available_size(kAvailableSize), m_entries(0),
       m_array(new ScoreStatsType[m_available_size]) {}
@@ -136,7 +140,6 @@ ostream& operator<<(ostream& o, const ScoreStats& e)
   return o;
 }
 
-//ADDED_BY_TS
 bool operator==(const ScoreStats& s1, const ScoreStats& s2) {
   size_t size = s1.size();
 
@@ -150,4 +153,5 @@ bool operator==(const ScoreStats& s1, const ScoreStats& s2) {
 
   return true;
 }
-//END_ADDED
+
+}

mert/ScoreStats.h

@@ -16,6 +16,10 @@
 
 #include "Types.h"
 
+namespace MosesTuning
+{
+  
+
 class ScoreStats
 {
 private:
@@ -90,8 +94,8 @@ public:
   friend std::ostream& operator<<(std::ostream& o, const ScoreStats& e);
 };
 
-//ADDED_BY_TS
 bool operator==(const ScoreStats& s1, const ScoreStats& s2);
-//END_ADDED
+
+}
 
 #endif  // MERT_SCORE_STATS_H_

mert/Scorer.cpp

@@ -8,6 +8,10 @@
 
 using namespace std;
 
+namespace MosesTuning
+{
+  
+
 Scorer::Scorer(const string& name, const string& config)
     : m_name(name),
       m_vocab(mert::VocabularyFactory::GetVocabulary()),
@@ -137,3 +141,4 @@ float Scorer::score(const candidates_t& candidates) const {
   return scores[0];
 }
 
+}

mert/Scorer.h

@@ -10,15 +10,18 @@
 #include "Types.h"
 #include "ScoreData.h"
 
-class PreProcessFilter;
-class ScoreStats;
-
 namespace mert {
 
 class Vocabulary;
 
 } // namespace mert
 
+namespace MosesTuning
+{
+  
+class PreProcessFilter;
+class ScoreStats;
+
 enum ScorerRegularisationStrategy {REG_NONE, REG_AVERAGE, REG_MINIMUM};
 
 /**
@@ -193,5 +196,6 @@ namespace {
   
 } // namespace
 
+}
 
 #endif // MERT_SCORER_H_

mert/ScorerFactory.cpp

@@ -13,6 +13,10 @@
 
 using namespace std;
 
+namespace MosesTuning
+{
+  
+
 vector<string> ScorerFactory::getTypes() {
   vector<string> types;
   types.push_back(string("BLEU"));
@@ -53,3 +57,6 @@ Scorer* ScorerFactory::getScorer(const string& type, const string& config) {
     }
   }
 }
+
+}
+

mert/ScorerFactory.h

@@ -4,6 +4,10 @@
 #include <vector>
 #include <string>
 
+namespace MosesTuning
+{
+  
+
 class Scorer;
 
 class ScorerFactory
@@ -18,4 +22,6 @@ private:
   ~ScorerFactory() {}
 };
 
+}
+
 #endif  // MERT_SCORER_FACTORY_H_

mert/SemposOverlapping.cpp

@@ -8,10 +8,14 @@ using namespace std;
 
 namespace {
 
-SemposOverlapping* g_overlapping = NULL;
+MosesTuning::SemposOverlapping* g_overlapping = NULL;
 
 } // namespace
 
+namespace MosesTuning
+{
+  
+
 SemposOverlapping* SemposOverlappingFactory::GetOverlapping(const string& str, const SemposScorer* sempos) {
   if (str == "cap-micro") {
     return new CapMicroOverlapping(sempos);
@@ -107,3 +111,5 @@ float CapMacroOverlapping::calculateScore(const vector<int>& stats) const
   if (n == 0) return 1;
   return sum / n;
 }
+
+}

mert/SemposOverlapping.h

@@ -7,6 +7,10 @@
 #include <utility>
 #include <vector>
 
+namespace MosesTuning
+{
+  
+
 class SemposScorer;
 
 // TODO: need comments about this number.
@@ -87,4 +91,6 @@ public:
   const SemposScorer* semposScorer;
 };
 
+}
+
 #endif  // MERT_SEMPOSOVERLAPPING_H_

mert/SemposScorer.cpp

@@ -10,6 +10,10 @@
 
 using namespace std;
 
+namespace MosesTuning
+{
+  
+
 SemposScorer::SemposScorer(const string& config)
   : StatisticsBasedScorer("SEMPOS", config),
     m_ovr(SemposOverlappingFactory::GetOverlapping(getConfig("overlapping", "cap-micro"),this)),
@@ -178,3 +182,6 @@ void SemposScorer::loadWeights(const string& weightsfile)
     }
 
 }
+
+}
+

mert/SemposScorer.h

@@ -17,6 +17,10 @@
 #include "SemposOverlapping.h"
 #include "StatisticsBasedScorer.h"
 
+namespace MosesTuning
+{
+  
+
 /**
  * This class represents sempos based metrics.
  */
@@ -62,4 +66,6 @@ private:
   SemposScorer& operator=(const SemposScorer&);
 };
 
+}
+
 #endif  // MERT_SEMPOSSCORER_H_

mert/SentenceLevelScorer.cpp

@@ -11,6 +11,9 @@
 
 using namespace std;
 
+namespace MosesTuning
+{
+  
 
 /** The sentence level scores have already been calculated, just need to average them
  and include the differences. Allows scores which are floats **/
@@ -100,3 +103,6 @@ void  SentenceLevelScorer::score(const candidates_t& candidates, const diffs_t&
     }
   }
 }
+
+}
+

mert/SentenceLevelScorer.h

@@ -15,6 +15,10 @@
 #include <vector>
 #include <boost/spirit/home/support/detail/lexer/runtime_error.hpp>
 
+namespace MosesTuning
+{
+  
+
 /**
  * Abstract base class for scorers that work by using sentence level
  * statistics eg. permutation distance metrics **/
@@ -79,5 +83,6 @@ protected:
 };
 
 
+}
 
 #endif

mert/Singleton.h

@@ -3,6 +3,10 @@
 
 #include <cstdlib>
 
+namespace MosesTuning
+{
+  
+
 // thread *un*safe singleton.
 // TODO: replace this with thread-safe singleton.
 template <typename T>
@@ -30,4 +34,6 @@ class Singleton {
 template <typename T>
 T* Singleton<T>::m_instance = NULL;
 
+}
+
 #endif  // MERT_SINGLETON_H_

mert/StatisticsBasedScorer.cpp

@@ -11,6 +11,10 @@
 
 using namespace std;
 
+namespace MosesTuning
+{
+  
+
 StatisticsBasedScorer::StatisticsBasedScorer(const string& name, const string& config)
 : Scorer(name,config) {
   //configure regularisation
@@ -117,3 +121,6 @@ void  StatisticsBasedScorer::score(const candidates_t& candidates, const diffs_t
     }
   }
 }
+
+}
+

mert/StatisticsBasedScorer.h

@@ -10,6 +10,11 @@
 #define mert_lib_StatisticsBasedScorer_h
 
 #include "Scorer.h"
+
+namespace MosesTuning
+{
+  
+
 /**
  * Abstract base class for Scorers that work by adding statistics across all
  * outout sentences, then apply some formula, e.g., BLEU, PER.
@@ -40,6 +45,6 @@ protected:
   std::size_t  m_regularization_window;
 };
 
-
+} // namespace
 
 #endif

mert/TerScorer.cpp

@@ -12,6 +12,10 @@
 using namespace std;
 using namespace TERCpp;
 
+namespace MosesTuning
+{
+  
+
 TerScorer::TerScorer(const string& config)
     : StatisticsBasedScorer("TER",config), kLENGTH(2) {}
 
@@ -108,3 +112,5 @@ float TerScorer::calculateScore(const vector<int>& comps) const
     return (1.0+(num / denom));
   }
 }
+
+}

mert/TerScorer.h

@@ -8,6 +8,10 @@
 #include "Types.h"
 #include "StatisticsBasedScorer.h"
 
+namespace MosesTuning
+{
+  
+
 class ScoreStats;
 
 /**
@@ -47,4 +51,6 @@ private:
   TerScorer& operator=(const TerScorer&);
 };
 
+}
+
 #endif // MERT_TER_SCORER_H_

mert/Timer.cpp

@@ -22,6 +22,10 @@ uint64_t GetTimeOfDayMicroSeconds() {
 
 } // namespace
 
+namespace MosesTuning
+{
+  
+
 void Timer::GetCPUTimeMicroSeconds(Timer::CPUTime* cpu_time) const {
 #if !defined(_WIN32) && !defined(_WIN64)
   struct rusage usage;
@@ -102,3 +106,5 @@ std::string Timer::ToString() const {
 
   return res;
 }
+
+}

mert/Timer.h

@@ -5,6 +5,10 @@
 #include <string>
 #include <stdint.h>
 
+namespace MosesTuning
+{
+  
+
 class Timer
 {
  private:
@@ -102,4 +106,7 @@ inline std::ostream& operator<<(std::ostream& os, const Timer& t) {
   return os;
 }
 
+}
+
+
 #endif  // MERT_TIMER_H_

mert/Types.h

@@ -6,6 +6,9 @@
 #include <string>
 #include <utility>
 
+namespace MosesTuning
+{
+
 class FeatureStats;
 class FeatureArray;
 class FeatureData;
@@ -42,4 +45,6 @@ typedef std::map<std::string, std::size_t> name2idx;
 typedef enum { HAMMING_DISTANCE=0, KENDALL_DISTANCE } distanceMetric_t;
 typedef enum { REFERENCE_CHOICE_AVERAGE=0, REFERENCE_CHOICE_CLOSEST } distanceMetricReferenceChoice_t;
 
+}
+
 #endif  // MERT_TYPE_H_

mert/Util.cpp

@@ -13,7 +13,7 @@ using namespace std;
 
 namespace {
 
-Timer g_timer;
+MosesTuning::Timer g_timer;
 int g_verbose = 0;
 
 bool FindDelimiter(const std::string &str, const std::string &delim, size_t *pos)
@@ -24,6 +24,9 @@ bool FindDelimiter(const std::string &str, const std::string &delim, size_t *pos
 
 } // namespace
 
+namespace MosesTuning
+{
+
 int verboselevel()
 {
   return g_verbose;
@@ -86,3 +89,5 @@ double GetUserTime()
 {
   return g_timer.get_elapsed_cpu_time();
 }
+
+}

mert/Util.h

@@ -22,6 +22,9 @@
 
 #include "Types.h"
 
+namespace MosesTuning
+{
+
 #ifdef TRACE_ENABLE
 #define TRACE_ERR(str) { std::cerr << str; }
 #else
@@ -130,4 +133,6 @@ void ResetUserTime();
 void PrintUserTime(const std::string &message);
 double GetUserTime();
 
+}
+
 #endif  // MERT_UTIL_H_

mert/Vocabulary.cpp

@@ -30,7 +30,7 @@ bool Vocabulary::Lookup(const std::string&str , int* v) const {
 
 Vocabulary* VocabularyFactory::GetVocabulary() {
   if (g_vocab == NULL) {
-    return Singleton<Vocabulary>::GetInstance();
+    return MosesTuning::Singleton<Vocabulary>::GetInstance();
   } else {
     return g_vocab;
   }

mert/mert.cpp

@@ -28,6 +28,7 @@
 #include "../moses/src/ThreadPool.h"
 
 using namespace std;
+using namespace MosesTuning;
 
 namespace {