1 files changed, 0 insertions, 136 deletions
diff --git a/src/ff.h b/src/ff.h
deleted file mode 100644
index e962b4ba..00000000
--- a/src/ff.h
+++ /dev/null
@@ -1,136 +0,0 @@
-#ifndef _FF_H_
-#define _FF_H_
-
-#include <vector>
-
-#include "fdict.h"
-#include "hg.h"
-
-class SentenceMetadata;
-class FeatureFunction;  // see definition below
-
-// if you want to develop a new feature, inherit from this class and
-// override TraversalFeaturesImpl(...).  If it's a feature that returns /
-// depends on context, you may also need to implement
-// FinalTraversalFeatures(...)
-class FeatureFunction {
- public:
-  FeatureFunction() : state_size_() {}
-  explicit FeatureFunction(int state_size) : state_size_(state_size) {}
-  virtual ~FeatureFunction();
-
-  // returns the number of bytes of context that this feature function will
-  // (maximally) use.  By default, 0 ("stateless" models in Hiero/Joshua).
-  // NOTE: this value is fixed for the instance of your class, you cannot
-  // use different amounts of memory for different nodes in the forest.
-  inline int NumBytesContext() const { return state_size_; }
-
-  // Compute the feature values and (if this applies) the estimates of the
-  // feature values when this edge is used incorporated into a larger context
-  inline void TraversalFeatures(const SentenceMetadata& smeta,
-                                const Hypergraph::Edge& edge,
-                                const std::vector<const void*>& ant_contexts,
-                                SparseVector<double>* features,
-                                SparseVector<double>* estimated_features,
-                                void* out_state) const {
-    TraversalFeaturesImpl(smeta, edge, ant_contexts,
-                          features, estimated_features, out_state);
-    // TODO it's easy for careless feature function developers to overwrite
-    // the end of their state and clobber someone else's memory.  These bugs
-    // will be horrendously painful to track down.  There should be some
-    // optional strict mode that's enforced here that adds some kind of
-    // barrier between the blocks reserved for the residual contexts
-  }
-
-  // if there's some state left when you transition to the goal state, score
-  // it here.  For example, the language model computes the cost of adding
-  // <s> and </s>.
-  virtual void FinalTraversalFeatures(const void* residual_state,
-                                      SparseVector<double>* final_features) const;
-
- protected:
-  // context is a pointer to a buffer of size NumBytesContext() that the
-  // feature function can write its state to.  It's up to the feature function
-  // to determine how much space it needs and to determine how to encode its
-  // residual contextual information since it is OPAQUE to all clients outside
-  // of the particular FeatureFunction class.  There is one exception:
-  // equality of the contents (i.e., memcmp) is required to determine whether
-  // two states can be combined.
-  virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta,
-                                     const Hypergraph::Edge& edge,
-                                     const std::vector<const void*>& ant_contexts,
-                                     SparseVector<double>* features,
-                                     SparseVector<double>* estimated_features,
-                                     void* context) const = 0;
-
-  // !!! ONLY call this from subclass *CONSTRUCTORS* !!!
-  void SetStateSize(size_t state_size) {
-    state_size_ = state_size;
-  }
-
- private:
-  int state_size_;
-};
-
-// word penalty feature, for each word on the E side of a rule,
-// add value_
-class WordPenalty : public FeatureFunction {
- public:
-  WordPenalty(const std::string& param);
- protected:
-  virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta,
-                                     const Hypergraph::Edge& edge,
-                                     const std::vector<const void*>& ant_contexts,
-                                     SparseVector<double>* features,
-                                     SparseVector<double>* estimated_features,
-                                     void* context) const;
- private:
-  const int fid_;
-  const double value_;
-};
-
-class SourceWordPenalty : public FeatureFunction {
- public:
-  SourceWordPenalty(const std::string& param);
- protected:
-  virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta,
-                                     const Hypergraph::Edge& edge,
-                                     const std::vector<const void*>& ant_contexts,
-                                     SparseVector<double>* features,
-                                     SparseVector<double>* estimated_features,
-                                     void* context) const;
- private:
-  const int fid_;
-  const double value_;
-};
-
-// this class is a set of FeatureFunctions that can be used to score, rescore,
-// etc. a (translation?) forest
-class ModelSet {
- public:
-  ModelSet() : state_size_(0) {}
-
-  ModelSet(const std::vector<double>& weights,
-           const std::vector<const FeatureFunction*>& models);
-
-  // sets edge->feature_values_ and edge->edge_prob_
-  // NOTE: edge must not necessarily be in hg.edges_ but its TAIL nodes
-  // must be.
-  void AddFeaturesToEdge(const SentenceMetadata& smeta,
-                         const Hypergraph& hg,
-                         Hypergraph::Edge* edge,
-                         std::string* residual_context,
-                         prob_t* combination_cost_estimate = NULL) const;
-
-  void AddFinalFeatures(const std::string& residual_context,
-                        Hypergraph::Edge* edge) const;
-
-  bool empty() const { return models_.empty(); }
- private:
-  std::vector<const FeatureFunction*> models_;
-  std::vector<double> weights_; 
-  int state_size_;
-  std::vector<int> model_state_pos_;
-};
-
-#endif