From 51b5c16c9110999ac573bd3383d7eb0e3f10fc37 Mon Sep 17 00:00:00 2001
From: Chris Dyer <cdyer@cab.ark.cs.cmu.edu>
Date: Tue, 16 Oct 2012 00:37:21 -0400
Subject: clean up of bad header includes

---
 decoder/ff_basic.h | 68 ++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 68 insertions(+)
 create mode 100644 decoder/ff_basic.h

(limited to 'decoder/ff_basic.h')

diff --git a/decoder/ff_basic.h b/decoder/ff_basic.h
new file mode 100644
index 00000000..901c0110
--- /dev/null
+++ b/decoder/ff_basic.h
@@ -0,0 +1,68 @@
+#ifndef _FF_BASIC_H_
+#define _FF_BASIC_H_
+
+#include "ff.h"
+
+// 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);
+  static std::string usage(bool p,bool d) {
+    return usage_helper("WordPenalty","","number of target words (local feature)",p,d);
+  }
+ protected:
+  virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta,
+                                     const HG::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);
+  static std::string usage(bool p,bool d) {
+    return usage_helper("SourceWordPenalty","","number of source words (local feature, and meaningless except when input has non-constant number of source words, e.g. segmentation/morphology/speech recognition lattice)",p,d);
+  }
+ protected:
+  virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta,
+                                     const HG::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_;
+};
+
+#define DEFAULT_MAX_ARITY 9
+#define DEFAULT_MAX_ARITY_STRINGIZE(x) #x
+#define DEFAULT_MAX_ARITY_STRINGIZE_EVAL(x) DEFAULT_MAX_ARITY_STRINGIZE(x)
+#define DEFAULT_MAX_ARITY_STR DEFAULT_MAX_ARITY_STRINGIZE_EVAL(DEFAULT_MAX_ARITY)
+
+class ArityPenalty : public FeatureFunction {
+ public:
+  ArityPenalty(const std::string& param);
+  static std::string usage(bool p,bool d) {
+    return usage_helper("ArityPenalty","[MaxArity(default " DEFAULT_MAX_ARITY_STR ")]","Indicator feature Arity_N=1 for rule of arity N (local feature).  0<=N<=MaxArity(default " DEFAULT_MAX_ARITY_STR ")",p,d);
+  }
+
+ protected:
+  virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta,
+                                     const HG::Edge& edge,
+                                     const std::vector<const void*>& ant_contexts,
+                                     SparseVector<double>* features,
+                                     SparseVector<double>* estimated_features,
+                                     void* context) const;
+ private:
+  std::vector<WordID> fids_;
+  const double value_;
+};
+
+#endif
-- 
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