guard against direct includes of tr1

1 files changed, 0 insertions, 286 deletions

diff --git a/decoder/dwarf.h b/decoder/dwarf.h
deleted file mode 100644
index 49d2a3b7..00000000
--- a/decoder/dwarf.h
+++ /dev/null
@@ -1,286 +0,0 @@
-#ifndef DWARF_H
-#define DWARF_H
-
-#include <cstdlib>
-#include <vector>
-#include <map>
-#include <string>
-#include <ostream>
-#include "wordid.h"
-#include "lattice.h"
-#include "trule.h"
-#include "tdict.h"
-#include <boost/functional/hash.hpp>
-#include <tr1/unordered_map>
-#include <boost/tuple/tuple.hpp>
-
-using namespace std;
-using namespace std::tr1;
-using namespace boost::tuples;
-using namespace boost;
-
-const static bool DEBUG = false;
-
-class CountTable {
-public:
-        int* ultimate;
-        map<WordID,int*> model;
-        int mode;
-        int numColumn;
-        void print() const;
-        void setup(int _numcolumn, int _mode) {
-          mode = _mode; numColumn = _numcolumn;
-        }
-};
-
-class Alignment {
-/* Alignment represents an alignment object in a 2D format to support function word-based models calculation 
-
-   A note about model's parameter estimation:
-   ==========================================
-   The model is estimated as a two-level Dirichlet process. 
-   For orientation model, the first tier estimation is:
-   P(o|f,e) where *o* is the orientation value to estimate, *f* is the source function word aligned to *e* 
-   its second tier is: P(o|f), while its third tier is P(o)
-   For dominance model, the first tier estimation is:
-   P(d|f1,f2,e1,e2) where *d* is a dominance value to estimate, *f1,f2* are the neighboring function words on the source
-   aligned to *e1,e2* on the target side
-   its second tier is: P(d|f1,f2) while its third tier is P(d)
-    
-   Taking orientation model as a case in point, a two level estimation proceeds as follow:
-   P(o|f,e) = c(o,f,e) + alpha { c(o,f) + beta [ c (o) / c(.) ] }
-                                 ------------------------------
-                                 c(f)   + beta
-              -------------------------------------------------
-              c(f,e)   + alpha
-   where c() is a count function, alpha and beta are the concentration parameter 
-         of the first and second Dirichlet process respectively 
-   To encourage or penalize the use of second and third tier statistics, bo1 and bo2 binary features are introduced 
-*/
-public:
-  const static int MAX_WORDS = 200;  
-  const static int MINIMUM_INIT = 1000;
-  const static int MAXIMUM_INIT = -1000;
-  const static int MAX_ARITY = 2;
-  WordID kSOS;
-  WordID kEOS;
-  WordID kUNK;
-  double alpha_oris; // 1st concentration parameter for orientation model 
-  double beta_oris;  // 2nd concentration parameter for orientation model
-  double alpha_orit; // 1st concentration parameter for orientation model 
-  double beta_orit;  // 2nd concentration parameter for orientation model
-  double alpha_doms; // idem as above but for dominance model
-  double beta_doms;
-  double alpha_domt; // idem as above but for dominance model
-  double beta_domt;
-  
-  // ACCESS to alignment
-  void set(int j,int i);   // j is the source index, while i is the target index
-  void reset(int j,int i); // idem as above
-  inline bool at(int j, int i) { return _matrix[j][i]; };
-  inline int getJ() {return _J;}; // max source of the current alignment
-  inline int getI() {return _I;}; // max target of the current alignment
-  inline void setI(int I) { _I = I; };
-  inline void setJ(int J) { _J = J; };
-  inline void setF(vector<WordID> f) { _f=f;};
-  inline void setE(vector<WordID> e) { _e=e;};
-  inline WordID getF(int id) { if (id<0) return TD::Convert("<s>"); if (id>=_f.size()) return TD::Convert("</s>"); return _f[id];};
-  inline WordID getE(int id) { if (id<0) return TD::Convert("<s>"); if (id>=_e.size()) return TD::Convert("</s>"); return _e[id];};
-  void clearAls(int prevJ=200, int prevI=200);
-  int sourceOf(int i, int start = -1);
-  int targetOf(int j, int start = -1);
-  inline int minSSpan(int i) { return _sSpan[i][0];}
-  inline int maxSSpan(int i) { return _sSpan[i][1];}
-  inline int minTSpan(int j) { return _tSpan[j][0];}
-  inline int maxTSpan(int j) { return _tSpan[j][1];}
-  static inline int link(int s, int t) { return (s << 16) | t; }
-  static inline int source(int st) {return st >> 16; }
-  static inline int target(int st) {return st & 0xffff; }
-  inline void setAlphaOris(double val) { alpha_oris=val; }
-  inline void setAlphaOrit(double val) { alpha_orit=val; }
-  inline void setAlphaDoms(double val) { alpha_doms=val; }
-  inline void setAlphaDomt(double val) { alpha_domt=val; }
-  inline void setBetaOris(double val) { beta_oris=val; }
-  inline void setBetaOrit(double val) { beta_orit=val; }
-  inline void setBetaDoms(double val) { beta_doms=val; }
-  inline void setBetaDomt(double val) { beta_domt=val; }
-  inline void setFreqCutoff(int val) { cout << _freq_cutoff << " to " << val << endl;  _freq_cutoff=val; }
-  string AsString();
-  string AsStringSimple();
-  int* SOS();
-  int* EOS();
-
-  // Model related function  
-  Alignment();
-  // Given the current *rule* and its antecedents, construct an alignment space and mark the function word alignments 
-  // according *sfw* and *tfw*
-  bool prepare(TRule& rule, const std::vector<const void*>& ant_contexts, 
-               const map<WordID,int>& sfw, const map<WordID,int>& tfw, const Lattice& sourcelattice, int spanstart, int spanend);
-
-  // Compute orientation model score which parameters are stored in *table* and pass the values accordingly
-  // will call Orientation(Source|Target) and ScoreOrientation(Source|Target)
-  void computeOrientationSource(const CountTable& table, double *cost, double *bonus, double *bo1, 
-                                double *bo1_bonus, double *bo2, double *bo2_bonus);
-  void computeOrientationSourcePos(const CountTable& table, double *cost, double *bonus,
-                double *bo1, double *bo1_bonus, double *bo2, double *bo2_bonus, int maxfwidx, int maxdepth1, int maxdepth2);
-  void computeOrientationSourceGen(const CountTable& table, double *cost, double *bonus, double *bo1, 
-                                double *bo1_bonus, double *bo2, double *bo2_bonus, const map<WordID,WordID>& tags);
-  void computeOrientationSourceBackward(const CountTable& table, double *cost, double *bonus, double *bo1, 
-                                double *bo1_bonus, double *bo2, double *bo2_bonus);
-  void computeOrientationSourceBackwardPos(const CountTable& table, double *cost, double *bonus, double *bo1, 
-                                double *bo1_bonus, double *bo2, double *bo2_bonus, int maxfwidx, int maxdepth1, int maxdepth2);
-  void computeOrientationTarget(const CountTable& table, double *cost, double *bonus, double *bo1, 
-                                double *bo1_bonus, double *bo2, double *bo2_bonus);
-  void computeOrientationTargetBackward(const CountTable& table, double *cost, double *bonus, double *bo1, 
-                                double *bo1_bonus, double *bo2, double *bo2_bonus);
-  // Get the orientation value of a function word at a particular index *fw*
-  // assign the value to either *oril* or *orir* accoring to *Lcompute* and *Rcompute*
-  void OrientationSource(int fw, int*oril, int* orir, bool Lcompute=true, bool Rcompute=true);
-  void OrientationSource(int fw0, int fw1, int*oril, int* orir, bool Lcompute=true, bool Rcompute=true);
-  int  OrientationSource(int* left, int* right);
-  void OrientationTarget(int fw, int*oril, int* orir, bool Lcompute=true, bool Rcompute=true);
-  void OrientationTarget(int fw0, int fw1, int*oril, int* orir, bool Lcompute=true, bool Rcompute=true);
-
-  vector<int> OrientationSourceLeft4Sampler(int fw0, int fw1);
-  vector<int> OrientationSourceLeft4Sampler(int fw);
-  vector<int> OrientationSourceRight4Sampler(int fw0, int fw1);
-  vector<int> OrientationSourceRight4Sampler(int fw);
-  vector<int> OrientationTargetLeft4Sampler(int fw0, int fw1);
-  vector<int> OrientationTargetLeft4Sampler(int fw);
-  vector<int> OrientationTargetRight4Sampler(int fw0, int fw1);
-  vector<int> OrientationTargetRight4Sampler(int fw);
-
-  // Given an orientation value *ori*, estimate the score accoding to *cond1*, *cond2* 
-  // and assign the value accordingly according to *isBonus* and whether the first or the second tier estimation
-  // is used or not
-  void ScoreOrientationRight(const CountTable& table, int ori, WordID cond1, WordID cond2, 
-                             bool isBonus, double *cost, double *bonus, double *bo1, double *bo1_bonus, 
-                             double *bo2, double *bo2_bonus, double alpha1, double beta1);
-  void ScoreOrientationLeft(const CountTable& table, int ori, WordID cond1, WordID cond, 
-                            bool isBonus, double *cost, double *bonus, double *bo1, double *bo1_bonus, 
-                            double *bo2, double *bo2_bonus, double alpha1, double beta1);
-  double ScoreOrientationRight(const CountTable& table, int ori, WordID cond1, WordID cond2); 
-  double ScoreOrientationLeft(const CountTable& table, int ori, WordID cond1, WordID cond); 
-  void ScoreOrientationRightBackward(const CountTable& table, int ori, WordID cond1, WordID cond2, 
-                             bool isBonus, double *cost, double *bonus, double *bo1, double *bo1_bonus, 
-                             double *bo2, double *bo2_bonus, double alpha1, double beta1);
-  void ScoreOrientationLeftBackward(const CountTable& table, int ori, WordID cond1, WordID cond, 
-                            bool isBonus, double *cost, double *bonus, double *bo1, double *bo1_bonus, 
-                            double *bo2, double *bo2_bonus, double alpha1, double beta1);
-  double ScoreOrientationRightBackward(const CountTable& table, int ori, WordID cond1, WordID cond2); 
-  double ScoreOrientationLeftBackward(const CountTable& table, int ori, WordID cond1, WordID cond); 
-  void ScoreOrientation(const CountTable& table, int offset, int ori, WordID cond1, WordID cond2, 
-                            bool isBonus, double *cost, double *bonus, double *bo1, double *bo1_bonus, 
-                            double *bo2, double *bo2_bonus, double alpha1, double beta1);
-  double ScoreOrientation(const CountTable& table, int offset, int ori, WordID cond1, WordID cond2); 
-
-  // idem as above except these are for dominance model
-  void computeDominanceSource(const CountTable& table, WordID lfw, WordID rfw, double *cost, double *bonus, 
-                              double *bo1, double *bo1_bonus, double *bo2, double *bo2_bonus);
-  void computeDominanceSourcePos(const CountTable& table, WordID lfw, WordID rfw, double *cost, double *bonus, 
-                              double *bo1, double *bo1_bonus, double *bo2, double *bo2_bonus, int maxfwidx, int maxdepth1, int maxdepth2);
-  void computeDominanceTarget(const CountTable& table, WordID lfw, WordID rfw, double *cost, double *bonus, 
-                              double *bo1, double *bo1_bonus, double *bo2, double *bo2_bonus);
-  void computeBorderDominanceSource(const CountTable& table, double *cost, double *bonus, 
-        double *state_mono, double *state_nonmono,
-        TRule &rule, const std::vector<const void*>& ant_contexts, const map<WordID,int>& sfw);
-  int DominanceSource(int fw1, int fw2);
-  int DominanceTarget(int fw1, int fw2);
-  vector<int> DominanceSource4Sampler(int fw1, int fw2);
-  vector<int> DominanceTarget4Sampler(int fw1, int fw2);
-  void ScoreDominance(const CountTable& table, int dom, WordID s1, WordID s2, WordID t1, WordID t2, 
-                      double *cost, double *bo1, double *bo2, bool isBonus, double alpha2, double beta2);
-  double ScoreDominance(const CountTable& table, int dom, WordID s1, WordID s2, WordID t1, WordID t2); 
-
-  // Remove all function word alignments except those at the borders
-  // May result in more than two function word alignments at each side, because this function 
-  // will continue keeping function word alignments until the first aligned word at each side
-  void BorderingSFWsOnly();
-  void BorderingTFWsOnly();
-  void simplify(int *ret); // preparing the next state
-  void simplify_nofw(int *ret); // preparing the next state when no function word appears
-  // set the first part of the next state, which concerns with function word
-  // fas, las, fat, lat is the (f)irst or (l)ast function word alignments either on the (s)ource or (t)arget
-  // these parameters to anticipate cases where there are more than two function word alignments
-  void FillFWIdxsState(int *state, int fas, int las, int fat, int lat);
-
-  // Helper function to obtain the aligned words on the other side 
-  // WARNING!!! Only to be used if the als are in sync with either source or target sentences
-  WordID F2EProjectionFromExternal(int idx, const vector<AlignmentPoint>& als, const string& delimiter=" ");
-  WordID E2FProjectionFromExternal(int idx, const vector<AlignmentPoint>& als, const string& delimiter=" ");
-  // WARNING!!! Only to be used in dwarf_main.cc 
-  // These two function words assume that the alignment contains phrase boundary 
-  // but the source and target sentences do not
-  WordID F2EProjection(int idx, const string& delimiter=" ");
-  WordID E2FProjection(int idx, const string& delimiter=" ");
-  void SetCurrAlVector();
-  int* blockSource(int fw1, int fw2);
-  int* blockTarget(int fw1, int fw2);
-  void ToArrayInt(vector<int>* arr);
-  int* neighborLeft(int startidx, int endidx, bool* found);
-  int* neighborRight(int startidx, int endidx, bool* found);
-private:
-  // Hash to avoid redundancy
-  unordered_map<vector<int>, int, boost::hash<vector<int> > > oris_hash;
-  unordered_map<vector<int>, int, boost::hash<vector<int> > > orit_hash;
-  unordered_map<vector<int>, int, boost::hash<vector<int> > > doms_hash;
-  unordered_map<vector<int>, int, boost::hash<vector<int> > > domt_hash;
-  unordered_map<vector<int>, vector<int>, boost::hash<vector<int> > > simplify_hash;
-  unordered_map<vector<int>, vector<int>, boost::hash<vector<int> > > prepare_hash;
- 
-  int _J; // effective source length;
-  int _I; // effective target length;
-  bool _matrix[MAX_WORDS][MAX_WORDS]; // true if aligned 
-  short _sSpan[MAX_WORDS][2]; //the source span of a target index; 0->min, 1->max
-  short _tSpan[MAX_WORDS][2]; //the target span of a source index; 0->min, 2->max
-  int _freq_cutoff;
-  int SourceFWRuleIdxs[40]; //the indexes of function words in the rule; 
-          // The following applies to all *FW*Idxs
-          // *FW*Idxs[0] = size
-          // *FW*Idxs[idx*3-2] = index in the alignment, where idx starts from 1 to size
-          // *FW*Idxs[idx*3-1] = source WordID
-          // *FW*Idxs[idx*3]   = target WordID
-  int SourceFWRuleAbsIdxs[40];
-  int TargetFWRuleIdxs[40]; //the indexes of function words in the rule; zeroth element is the count
-  int ** SourceFWAntsIdxs;  //the indexes of function words in antecedents
-  int ** SourceFWAntsAbsIdxs;
-  int ** TargetFWAntsIdxs;  //the indexes of function words in antecedents
-  int SourceRuleIdxs[40]; //the indexes of SOURCE tokens (zeroth element is the number of source tokens)
-        //>0 means terminal, -i means the i-th Xs
-  int TargetRuleIdxs[40]; //the indexes of TARGET tokens (zeroth element is the number of target tokens)
-  int ** SourceAntsIdxs;  //the array of indexes of a particular antecedent's SOURCE tokens
-  int ** TargetAntsIdxs;  //the array of indexes of a particular antecedent's TARGET tokens
-  int SourceFWIdxs[40];
-  int SourceFWAbsIdxs[40];
-  int TargetFWIdxs[40];
-  // *sort* and *quickSort* are used to sort *FW*Idxs
-  void sort(int* num);
-  void quickSort(int arr[], int top, int bottom);
-
-  // *block(Source|Target)* finds the minimum block that containts two indexes (fw1 and fw2)
-  inline int least(int i1, int i2) { return (i1<i2)?i1:i2; }
-  inline int most(int i1, int i2) { return (i1>i2)?i1:i2; }
-  void simplifyBackward(vector<int *>*blocks, int* block, const vector<int>& danglings);
-  // used in simplify to check whether an atomic block according to source function words is also atomic according
-  // to target function words as well, otherwise break it 
-  // the resulting blocks are added into *blocks*
-  int _Arity;
-  std::vector<WordID> _f; // the source sentence of the **current** rule (may not consistent with the current alignment)
-  std::vector<WordID> _e; // the target sentence of the **current** rule
-  int RuleAl[40];
-  int **AntsAl;
-  int firstSourceAligned(int start);
-  int firstTargetAligned(int start);
-  int lastSourceAligned(int end);
-  int lastTargetAligned(int end);
-  int fas, las, fat, lat; // first aligned source, last aligned source, first aligned target, last aligned target
-  bool MemberOf(int* FWIdxs, int pos1, int pos2); // whether FWIdxs contains pos1 and pos2 consecutively
-  // Convert the alignment to vector form, will be used for hashing purposes
-  vector<int> curr_al;
-  int GetFWGlobalIdx(int idx, const Lattice& sourcelattice, vector<WordID>& sources, int spanstart, int spanend, const std::vector<const void*>& ant_contexts, const map<WordID,int>& sfw);
-  int GetFirstFWIdx(int spanstart,int spanend, const Lattice& sourcelattice, const map<WordID,int>& sfw);
-  int GetLastFWIdx(int spanstart,int spanend, const Lattice& sourcelattice, const map<WordID,int>& sfw);
-  WordID generalize(WordID original, const map<WordID,WordID>& tags, bool pos=false);
-};
-
-#endif