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authorMichael Denkowski <michael.j.denkowski@gmail.com>2012-12-22 16:01:23 -0500
committerMichael Denkowski <michael.j.denkowski@gmail.com>2012-12-22 16:01:23 -0500
commit597d89c11db53e91bc011eab70fd613bbe6453e8 (patch)
tree83c87c07d1ff6d3ee4e3b1626f7eddd49c61095b /klm/search/applied.hh
parent65e958ff2678a41c22be7171456a63f002ef370b (diff)
parent201af2acd394415a05072fbd53d42584875aa4b4 (diff)
Merge branch 'master' of git://github.com/redpony/cdec
Diffstat (limited to 'klm/search/applied.hh')
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diff --git a/klm/search/applied.hh b/klm/search/applied.hh
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+#ifndef SEARCH_APPLIED__
+#define SEARCH_APPLIED__
+
+#include "search/edge.hh"
+#include "search/header.hh"
+#include "util/pool.hh"
+
+#include <math.h>
+
+namespace search {
+
+// A full hypothesis: a score, arity of the rule, a pointer to the decoder's rule (Note), and pointers to non-terminals that were substituted.
+template <class Below> class GenericApplied : public Header {
+ public:
+ GenericApplied() {}
+
+ GenericApplied(void *location, PartialEdge partial)
+ : Header(location) {
+ memcpy(Base(), partial.Base(), kHeaderSize);
+ Below *child_out = Children();
+ const PartialVertex *part = partial.NT();
+ const PartialVertex *const part_end_loop = part + partial.GetArity();
+ for (; part != part_end_loop; ++part, ++child_out)
+ *child_out = Below(part->End());
+ }
+
+ GenericApplied(void *location, Score score, Arity arity, Note note) : Header(location, arity) {
+ SetScore(score);
+ SetNote(note);
+ }
+
+ explicit GenericApplied(History from) : Header(from) {}
+
+
+ // These are arrays of length GetArity().
+ Below *Children() {
+ return reinterpret_cast<Below*>(After());
+ }
+ const Below *Children() const {
+ return reinterpret_cast<const Below*>(After());
+ }
+
+ static std::size_t Size(Arity arity) {
+ return kHeaderSize + arity * sizeof(const Below);
+ }
+};
+
+// Applied rule that references itself.
+class Applied : public GenericApplied<Applied> {
+ private:
+ typedef GenericApplied<Applied> P;
+
+ public:
+ Applied() {}
+ Applied(void *location, PartialEdge partial) : P(location, partial) {}
+ Applied(History from) : P(from) {}
+};
+
+// How to build single-best hypotheses.
+class SingleBest {
+ public:
+ typedef PartialEdge Combine;
+
+ void Add(PartialEdge &existing, PartialEdge add) const {
+ if (!existing.Valid() || existing.GetScore() < add.GetScore())
+ existing = add;
+ }
+
+ NBestComplete Complete(PartialEdge partial) {
+ if (!partial.Valid())
+ return NBestComplete(NULL, lm::ngram::ChartState(), -INFINITY);
+ void *place_final = pool_.Allocate(Applied::Size(partial.GetArity()));
+ Applied(place_final, partial);
+ return NBestComplete(
+ place_final,
+ partial.CompletedState(),
+ partial.GetScore());
+ }
+
+ private:
+ util::Pool pool_;
+};
+
+} // namespace search
+
+#endif // SEARCH_APPLIED__