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tools/openfst-1.6.7/src/include/fst/determinize.h
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// See www.openfst.org for extensive documentation on this weighted // finite-state transducer library. // // Functions and classes to determinize an FST. #ifndef FST_DETERMINIZE_H_ #define FST_DETERMINIZE_H_ #include <algorithm> #include <climits> #include <forward_list> #include <map> #include <string> #include <vector> #include <fst/log.h> #include <fst/arc-map.h> #include <fst/bi-table.h> #include <fst/cache.h> #include <fst/factor-weight.h> #include <fst/filter-state.h> #include <fst/prune.h> #include <fst/test-properties.h> namespace fst { // Common divisors are used in determinization to compute transition weights. // In the simplest case, it is the same as semiring Plus, but other choices // permit more efficient determinization when the output contains strings. // The default common divisor uses the semiring Plus. template <class W> struct DefaultCommonDivisor { public: using Weight = W; Weight operator()(const Weight &w1, const Weight &w2) const { return Plus(w1, w2); } }; // The label common divisor for a (left) string semiring selects a single // letter common prefix or the empty string. This is used in the // determinization of output strings so that at most a single letter will // appear in the output of a transtion. template <typename Label, StringType S> struct LabelCommonDivisor { public: using Weight = StringWeight<Label, S>; Weight operator()(const Weight &w1, const Weight &w2) const { typename Weight::Iterator iter1(w1); typename Weight::Iterator iter2(w2); if (!(StringWeight<Label, S>::Properties() & kLeftSemiring)) { FSTERROR() << "LabelCommonDivisor: Weight needs to be left semiring"; return Weight::NoWeight(); } else if (w1.Size() == 0 || w2.Size() == 0) { return Weight::One(); } else if (w1 == Weight::Zero()) { return Weight(iter2.Value()); } else if (w2 == Weight::Zero()) { return Weight(iter1.Value()); } else if (iter1.Value() == iter2.Value()) { return Weight(iter1.Value()); } else { return Weight::One(); } } }; // The gallic common divisor uses the label common divisor on the string // component and the common divisor on the weight component, which defaults to // the default common divisor. template <class Label, class W, GallicType G, class CommonDivisor = DefaultCommonDivisor<W>> class GallicCommonDivisor { public: using Weight = GallicWeight<Label, W, G>; Weight operator()(const Weight &w1, const Weight &w2) const { return Weight(label_common_divisor_(w1.Value1(), w2.Value1()), weight_common_divisor_(w1.Value2(), w2.Value2())); } private: LabelCommonDivisor<Label, GallicStringType(G)> label_common_divisor_; CommonDivisor weight_common_divisor_; }; // Specialization for general GALLIC weight. template <class Label, class W, class CommonDivisor> class GallicCommonDivisor<Label, W, GALLIC, CommonDivisor> { public: using Weight = GallicWeight<Label, W, GALLIC>; using GRWeight = GallicWeight<Label, W, GALLIC_RESTRICT>; using Iterator = UnionWeightIterator<GRWeight, GallicUnionWeightOptions<Label, W>>; Weight operator()(const Weight &w1, const Weight &w2) const { auto weight = GRWeight::Zero(); for (Iterator iter(w1); !iter.Done(); iter.Next()) { weight = common_divisor_(weight, iter.Value()); } for (Iterator iter(w2); !iter.Done(); iter.Next()) { weight = common_divisor_(weight, iter.Value()); } return weight == GRWeight::Zero() ? Weight::Zero() : Weight(weight); } private: GallicCommonDivisor<Label, W, GALLIC_RESTRICT, CommonDivisor> common_divisor_; }; namespace internal { // Represents an element in a subset template <class Arc> struct DeterminizeElement { using StateId = typename Arc::StateId; using Weight = typename Arc::Weight; DeterminizeElement(StateId s, Weight weight) : state_id(s), weight(std::move(weight)) {} inline bool operator==(const DeterminizeElement<Arc> &element) const { return state_id == element.state_id && weight == element.weight; } inline bool operator!=(const DeterminizeElement<Arc> &element) const { return !(*this == element); } inline bool operator<(const DeterminizeElement<Arc> &element) const { return state_id < element.state_id; } StateId state_id; // Input state ID. Weight weight; // Residual weight. }; // Represents a weighted subset and determinization filter state template <typename A, typename FilterState> struct DeterminizeStateTuple { using Arc = A; using Element = DeterminizeElement<Arc>; using Subset = std::forward_list<Element>; DeterminizeStateTuple() : filter_state(FilterState::NoState()) {} inline bool operator==( const DeterminizeStateTuple<Arc, FilterState> &tuple) const { return (tuple.filter_state == filter_state) && (tuple.subset == subset); } inline bool operator!=( const DeterminizeStateTuple<Arc, FilterState> &tuple) const { return (tuple.filter_state != filter_state) || (tuple.subset != subset); } Subset subset; FilterState filter_state; }; // Proto-transition for determinization. template <class StateTuple> struct DeterminizeArc { using Arc = typename StateTuple::Arc; using Label = typename Arc::Label; using Weight = typename Arc::Weight; DeterminizeArc() : label(kNoLabel), weight(Weight::Zero()), dest_tuple(nullptr) {} explicit DeterminizeArc(const Arc &arc) : label(arc.ilabel), weight(Weight::Zero()), dest_tuple(new StateTuple) {} Label label; // Arc label. Weight weight; // Arc weight. StateTuple *dest_tuple; // Destination subset and filter state. }; } // namespace internal // Determinization filters are used to compute destination state tuples based // on the source tuple, transition, and destination element or on similar // super-final transition information. The filter operates on a map between a // label and the corresponding destination state tuples. It must define the map // type LabelMap. The default filter is used for weighted determinization. // A determinize filter for implementing weighted determinization. template <class Arc> class DefaultDeterminizeFilter { public: using Label = typename Arc::Label; using StateId = typename Arc::StateId; using Weight = typename Arc::Weight; using FilterState = CharFilterState; using Element = internal::DeterminizeElement<Arc>; using StateTuple = internal::DeterminizeStateTuple<Arc, FilterState>; using LabelMap = std::map<Label, internal::DeterminizeArc<StateTuple>>; // This is needed e.g. to go into the gallic domain for transducers. template <class A> struct rebind { using Other = DefaultDeterminizeFilter<A>; }; explicit DefaultDeterminizeFilter(const Fst<Arc> &fst) : fst_(fst.Copy()) {} // This is needed (e.g.) to go into the gallic domain for transducers. // Ownership of the templated filter argument is given to this class. template <class Filter> DefaultDeterminizeFilter(const Fst<Arc> &fst, Filter *filter) : fst_(fst.Copy()) { delete filter; } // Copy constructor; the FST can be passed if it has been deep-copied. DefaultDeterminizeFilter(const DefaultDeterminizeFilter<Arc> &filter, const Fst<Arc> *fst = nullptr) : fst_(fst ? fst->Copy() : filter.fst_->Copy()) {} FilterState Start() const { return FilterState(0); } // Does no work. void SetState(StateId s, const StateTuple &tuple) {} // Filters transition, possibly modifying label map. Returns true if arc is // added to the label map. bool FilterArc(const Arc &arc, const Element &src_element, const Element &dest_element, LabelMap *label_map) const { // Adds element to unique state tuple for arc label. auto &det_arc = (*label_map)[arc.ilabel]; if (det_arc.label == kNoLabel) { det_arc = internal::DeterminizeArc<StateTuple>(arc); det_arc.dest_tuple->filter_state = FilterState(0); } det_arc.dest_tuple->subset.push_front(dest_element); return true; } // Filters super-final transition, returning new final weight. Weight FilterFinal(Weight weight, const Element &element) { return weight; } static uint64 Properties(uint64 props) { return props; } private: std::unique_ptr<Fst<Arc>> fst_; }; // Determinization state table interface: // // template <class Arc, class FilterState> // class DeterminizeStateTable { // public: // using StateId = typename Arc::StateId; // using StateTuple = internal::DeterminizeStateTuple<Arc, FilterState>; // // // Required sub-class. This is needed (e.g.) to go into the gallic domain. // template <class B, class G> // struct rebind { // using Other = DeterminizeStateTable<B, G>; // } // // // Required constuctor. // DeterminizeStateTable(); // // // Required copy constructor that does not copy state. // DeterminizeStateTable(const DeterminizeStateTable<Arc, FilterState> // &table); // // // Looks up state ID by state tuple; if it doesn't exist, then adds it. // // FindState takes ownership of the state tuple argument so that it // // doesn't have to copy it if it creates a new state. // StateId FindState(StateTuple *tuple); // // // Looks up state tuple by ID. // const StateTuple *Tuple(StateId id) const; // }; // The default determinization state table based on the compact hash bi-table. template <class Arc, class FilterState> class DefaultDeterminizeStateTable { public: using Label = typename Arc::Label; using StateId = typename Arc::StateId; using Weight = typename Arc::Weight; using StateTuple = internal::DeterminizeStateTuple<Arc, FilterState>; using Element = typename StateTuple::Element; using Subset = typename StateTuple::Subset; template <class B, class G> struct rebind { using Other = DefaultDeterminizeStateTable<B, G>; }; explicit DefaultDeterminizeStateTable(size_t table_size = 0) : table_size_(table_size), tuples_(table_size_) {} DefaultDeterminizeStateTable( const DefaultDeterminizeStateTable<Arc, FilterState> &table) : table_size_(table.table_size_), tuples_(table_size_) {} ~DefaultDeterminizeStateTable() { for (StateId s = 0; s < tuples_.Size(); ++s) delete tuples_.FindEntry(s); } // Finds the state corresponding to a state tuple. Only creates a new state if // the tuple is not found. FindState takes ownership of the tuple argument so // that it doesn't have to copy it if it creates a new state. StateId FindState(StateTuple *tuple) { const StateId ns = tuples_.Size(); const auto s = tuples_.FindId(tuple); if (s != ns) delete tuple; // Tuple found. return s; } const StateTuple *Tuple(StateId s) { return tuples_.FindEntry(s); } private: // Comparison object for StateTuples. class StateTupleEqual { public: bool operator()(const StateTuple *tuple1, const StateTuple *tuple2) const { return *tuple1 == *tuple2; } }; // Hash function for StateTuples. class StateTupleKey { public: size_t operator()(const StateTuple *tuple) const { size_t h = tuple->filter_state.Hash(); for (auto it = tuple->subset.begin(); it != tuple->subset.end(); ++it) { const size_t h1 = it->state_id; static constexpr auto lshift = 5; static constexpr auto rshift = CHAR_BIT * sizeof(size_t) - 5; h ^= h << 1 ^ h1 << lshift ^ h1 >> rshift ^ it->weight.Hash(); } return h; } }; size_t table_size_; CompactHashBiTable<StateId, StateTuple *, StateTupleKey, StateTupleEqual, HS_STL> tuples_; DefaultDeterminizeStateTable &operator=( const DefaultDeterminizeStateTable &) = delete; }; // Determinization type. enum DeterminizeType { // Input transducer is known to be functional (or error). DETERMINIZE_FUNCTIONAL, // Input transducer is functional (error if not). // Input transducer is not known to be functional. DETERMINIZE_NONFUNCTIONAL, // Input transducer is not known to be functional but only keep the min of // of ambiguous outputs. DETERMINIZE_DISAMBIGUATE }; // Options for finite-state transducer determinization templated on the arc // type, common divisor, the determinization filter and the state table. // DeterminizeFst takes ownership of the determinization filter and state table, // if provided. template <class Arc, class CommonDivisor = DefaultCommonDivisor<typename Arc::Weight>, class Filter = DefaultDeterminizeFilter<Arc>, class StateTable = DefaultDeterminizeStateTable<Arc, typename Filter::FilterState>> struct DeterminizeFstOptions : public CacheOptions { using Label = typename Arc::Label; float delta; // Quantization delta for subset weights. Label subsequential_label; // Label used for residual final output // when producing subsequential transducers. DeterminizeType type; // Determinization type. bool increment_subsequential_label; // When creating several subsequential // arcs at a given state, make their // label distinct by incrementing. Filter *filter; // Determinization filter; // DeterminizeFst takes ownership. StateTable *state_table; // Determinization state table; // DeterminizeFst takes ownership. explicit DeterminizeFstOptions(const CacheOptions &opts, float delta = kDelta, Label subsequential_label = 0, DeterminizeType type = DETERMINIZE_FUNCTIONAL, bool increment_subsequential_label = false, Filter *filter = nullptr, StateTable *state_table = nullptr) : CacheOptions(opts), delta(delta), subsequential_label(subsequential_label), type(type), increment_subsequential_label(increment_subsequential_label), filter(filter), state_table(state_table) {} explicit DeterminizeFstOptions(float delta = kDelta, Label subsequential_label = 0, DeterminizeType type = DETERMINIZE_FUNCTIONAL, bool increment_subsequential_label = false, Filter *filter = nullptr, StateTable *state_table = nullptr) : delta(delta), subsequential_label(subsequential_label), type(type), increment_subsequential_label(increment_subsequential_label), filter(filter), state_table(state_table) {} }; namespace internal { // Implementation of delayed DeterminizeFst. This base class is // common to the variants that implement acceptor and transducer // determinization. template <class Arc> class DeterminizeFstImplBase : public CacheImpl<Arc> { public: using Label = typename Arc::Label; using StateId = typename Arc::StateId; using Weight = typename Arc::Weight; using Store = DefaultCacheStore<Arc>; using State = typename Store::State; using FstImpl<Arc>::SetType; using FstImpl<Arc>::SetProperties; using FstImpl<Arc>::Properties; using FstImpl<Arc>::SetInputSymbols; using FstImpl<Arc>::SetOutputSymbols; using CacheBaseImpl<CacheState<Arc>>::HasStart; using CacheBaseImpl<CacheState<Arc>>::HasFinal; using CacheBaseImpl<CacheState<Arc>>::HasArcs; using CacheBaseImpl<CacheState<Arc>>::SetFinal; using CacheBaseImpl<CacheState<Arc>>::SetStart; template <class CommonDivisor, class Filter, class StateTable> DeterminizeFstImplBase( const Fst<Arc> &fst, const DeterminizeFstOptions<Arc, CommonDivisor, Filter, StateTable> &opts) : CacheImpl<Arc>(opts), fst_(fst.Copy()) { SetType("determinize"); const auto iprops = fst.Properties(kFstProperties, false); const auto dprops = DeterminizeProperties(iprops, opts.subsequential_label != 0, opts.type == DETERMINIZE_NONFUNCTIONAL ? opts.increment_subsequential_label : true); SetProperties(Filter::Properties(dprops), kCopyProperties); SetInputSymbols(fst.InputSymbols()); SetOutputSymbols(fst.OutputSymbols()); } DeterminizeFstImplBase(const DeterminizeFstImplBase<Arc> &impl) : CacheImpl<Arc>(impl), fst_(impl.fst_->Copy(true)) { SetType("determinize"); SetProperties(impl.Properties(), kCopyProperties); SetInputSymbols(impl.InputSymbols()); SetOutputSymbols(impl.OutputSymbols()); } virtual DeterminizeFstImplBase<Arc> *Copy() const = 0; StateId Start() { if (!HasStart()) { const auto start = ComputeStart(); if (start != kNoStateId) SetStart(start); } return CacheImpl<Arc>::Start(); } Weight Final(StateId s) { if (!HasFinal(s)) SetFinal(s, ComputeFinal(s)); return CacheImpl<Arc>::Final(s); } virtual void Expand(StateId s) = 0; size_t NumArcs(StateId s) { if (!HasArcs(s)) Expand(s); return CacheImpl<Arc>::NumArcs(s); } size_t NumInputEpsilons(StateId s) { if (!HasArcs(s)) Expand(s); return CacheImpl<Arc>::NumInputEpsilons(s); } size_t NumOutputEpsilons(StateId s) { if (!HasArcs(s)) Expand(s); return CacheImpl<Arc>::NumOutputEpsilons(s); } void InitArcIterator(StateId s, ArcIteratorData<Arc> *data) { if (!HasArcs(s)) Expand(s); CacheImpl<Arc>::InitArcIterator(s, data); } virtual StateId ComputeStart() = 0; virtual Weight ComputeFinal(StateId s) = 0; const Fst<Arc> &GetFst() const { return *fst_; } private: std::unique_ptr<const Fst<Arc>> fst_; // Input FST. }; // Implementation of delayed determinization for weighted acceptors. template <class Arc, class CommonDivisor, class Filter, class StateTable> class DeterminizeFsaImpl : public DeterminizeFstImplBase<Arc> { public: using Label = typename Arc::Label; using StateId = typename Arc::StateId; using Weight = typename Arc::Weight; using FilterState = typename Filter::FilterState; using StateTuple = internal::DeterminizeStateTuple<Arc, FilterState>; using Element = typename StateTuple::Element; using Subset = typename StateTuple::Subset; using LabelMap = typename Filter::LabelMap; using FstImpl<Arc>::SetProperties; using DeterminizeFstImplBase<Arc>::GetFst; using DeterminizeFstImplBase<Arc>::SetArcs; DeterminizeFsaImpl( const Fst<Arc> &fst, const std::vector<Weight> *in_dist, std::vector<Weight> *out_dist, const DeterminizeFstOptions<Arc, CommonDivisor, Filter, StateTable> &opts) : DeterminizeFstImplBase<Arc>(fst, opts), delta_(opts.delta), in_dist_(in_dist), out_dist_(out_dist), filter_(opts.filter ? opts.filter : new Filter(fst)), state_table_(opts.state_table ? opts.state_table : new StateTable()) { if (!fst.Properties(kAcceptor, true)) { FSTERROR() << "DeterminizeFst: Argument not an acceptor"; SetProperties(kError, kError); } if (!(Weight::Properties() & kLeftSemiring)) { FSTERROR() << "DeterminizeFst: Weight must be left distributive: " << Weight::Type(); SetProperties(kError, kError); } if (out_dist_) out_dist_->clear(); } DeterminizeFsaImpl( const DeterminizeFsaImpl<Arc, CommonDivisor, Filter, StateTable> &impl) : DeterminizeFstImplBase<Arc>(impl), delta_(impl.delta_), in_dist_(nullptr), out_dist_(nullptr), filter_(new Filter(*impl.filter_, &GetFst())), state_table_(new StateTable(*impl.state_table_)) { if (impl.out_dist_) { FSTERROR() << "DeterminizeFsaImpl: Cannot copy with out_dist vector"; SetProperties(kError, kError); } } DeterminizeFsaImpl<Arc, CommonDivisor, Filter, StateTable> *Copy() const override { return new DeterminizeFsaImpl<Arc, CommonDivisor, Filter, StateTable>( *this); } uint64 Properties() const override { return Properties(kFstProperties); } // Sets error if found, and returns other FST impl properties. uint64 Properties(uint64 mask) const override { if ((mask & kError) && (GetFst().Properties(kError, false))) { SetProperties(kError, kError); } return FstImpl<Arc>::Properties(mask); } StateId ComputeStart() override { const auto s = GetFst().Start(); if (s == kNoStateId) return kNoStateId; const Element element(s, Weight::One()); auto *tuple = new StateTuple; tuple->subset.push_front(element); tuple->filter_state = filter_->Start(); return FindState(tuple); } Weight ComputeFinal(StateId s) override { const auto *tuple = state_table_->Tuple(s); filter_->SetState(s, *tuple); auto final_weight = Weight::Zero(); for (auto it = tuple->subset.begin(); it != tuple->subset.end(); ++it) { const auto &element = *it; final_weight = Plus(final_weight, Times(element.weight, GetFst().Final(element.state_id))); final_weight = filter_->FilterFinal(final_weight, element); if (!final_weight.Member()) SetProperties(kError, kError); } return final_weight; } StateId FindState(StateTuple *tuple) { const auto s = state_table_->FindState(tuple); if (in_dist_ && out_dist_->size() <= s) { out_dist_->push_back(ComputeDistance(tuple->subset)); } return s; } // Computes distance from a state to the final states in the DFA given the // distances in the NFA. Weight ComputeDistance(const Subset &subset) { auto outd = Weight::Zero(); for (auto it = subset.begin(); it != subset.end(); ++it) { const auto &element = *it; const auto ind = (element.state_id < in_dist_->size() ? (*in_dist_)[element.state_id] : Weight::Zero()); outd = Plus(outd, Times(element.weight, ind)); } return outd; } // Computes the outgoing transitions from a state, creating new destination // states as needed. void Expand(StateId s) override { LabelMap label_map; GetLabelMap(s, &label_map); for (auto it = label_map.begin(); it != label_map.end(); ++it) { AddArc(s, it->second); } SetArcs(s); } private: using DetArc = internal::DeterminizeArc<StateTuple>; // Constructs proto-determinization transition, including destination subset, // per label. void GetLabelMap(StateId s, LabelMap *label_map) { const auto *src_tuple = state_table_->Tuple(s); filter_->SetState(s, *src_tuple); for (auto it = src_tuple->subset.begin(); it != src_tuple->subset.end(); ++it) { const auto &src_element = *it; for (ArcIterator<Fst<Arc>> aiter(GetFst(), src_element.state_id); !aiter.Done(); aiter.Next()) { const auto &arc = aiter.Value(); const Element dest_element(arc.nextstate, Times(src_element.weight, arc.weight)); filter_->FilterArc(arc, src_element, dest_element, label_map); } } for (auto it = label_map->begin(); it != label_map->end(); ++it) { NormArc(&it->second); } } // Sorts subsets and removes duplicate elements, normalizing transition and // subset weights. void NormArc(DetArc *det_arc) { auto *dest_tuple = det_arc->dest_tuple; dest_tuple->subset.sort(); auto piter = dest_tuple->subset.begin(); for (auto diter = dest_tuple->subset.begin(); diter != dest_tuple->subset.end();) { auto &dest_element = *diter; auto &prev_element = *piter; // Computes arc weight. det_arc->weight = common_divisor_(det_arc->weight, dest_element.weight); if (piter != diter && dest_element.state_id == prev_element.state_id) { // Found duplicate state: sums state weight and deletes duplicate. prev_element.weight = Plus(prev_element.weight, dest_element.weight); if (!prev_element.weight.Member()) SetProperties(kError, kError); ++diter; dest_tuple->subset.erase_after(piter); } else { piter = diter; ++diter; } } // Divides out label weight from destination subset elements, quantizing to // ensure comparisons are effective. for (auto diter = dest_tuple->subset.begin(); diter != dest_tuple->subset.end(); ++diter) { auto &dest_element = *diter; dest_element.weight = Divide(dest_element.weight, det_arc->weight, DIVIDE_LEFT); dest_element.weight = dest_element.weight.Quantize(delta_); } } // Adds an arc from state S to the destination state associated with state // tuple in det_arc as created by GetLabelMap. void AddArc(StateId s, const DetArc &det_arc) { const Arc arc(det_arc.label, det_arc.label, det_arc.weight, FindState(det_arc.dest_tuple)); CacheImpl<Arc>::PushArc(s, arc); } float delta_; // Quantization delta for weights. const std::vector<Weight> *in_dist_; // Distance to final NFA states. std::vector<Weight> *out_dist_; // Distance to final DFA states. // FIXME(kbg): Ought to be static const? CommonDivisor common_divisor_; std::unique_ptr<Filter> filter_; std::unique_ptr<StateTable> state_table_; }; // Implementation of delayed determinization for transducers. Transducer // determinization is implemented by mapping the input to the Gallic semiring as // an acceptor whose weights contain the output strings and using acceptor // determinization above to determinize that acceptor. template <class Arc, GallicType G, class CommonDivisor, class Filter, class StateTable> class DeterminizeFstImpl : public DeterminizeFstImplBase<Arc> { public: using Label = typename Arc::Label; using StateId = typename Arc::StateId; using Weight = typename Arc::Weight; using ToMapper = ToGallicMapper<Arc, G>; using ToArc = typename ToMapper::ToArc; using ToFst = ArcMapFst<Arc, ToArc, ToMapper>; using FromMapper = FromGallicMapper<Arc, G>; using FromFst = ArcMapFst<ToArc, Arc, FromMapper>; using ToCommonDivisor = GallicCommonDivisor<Label, Weight, G, CommonDivisor>; using ToFilter = typename Filter::template rebind<ToArc>::Other; using ToFilterState = typename ToFilter::FilterState; using ToStateTable = typename StateTable::template rebind<ToArc, ToFilterState>::Other; using FactorIterator = GallicFactor<Label, Weight, G>; using FstImpl<Arc>::SetProperties; using DeterminizeFstImplBase<Arc>::GetFst; using CacheBaseImpl<CacheState<Arc>>::GetCacheGc; using CacheBaseImpl<CacheState<Arc>>::GetCacheLimit; DeterminizeFstImpl( const Fst<Arc> &fst, const DeterminizeFstOptions<Arc, CommonDivisor, Filter, StateTable> &opts) : DeterminizeFstImplBase<Arc>(fst, opts), delta_(opts.delta), subsequential_label_(opts.subsequential_label), increment_subsequential_label_(opts.increment_subsequential_label) { if (opts.state_table) { FSTERROR() << "DeterminizeFst: " << "A state table can not be passed with transducer input"; SetProperties(kError, kError); return; } Init(GetFst(), opts.filter); } DeterminizeFstImpl( const DeterminizeFstImpl<Arc, G, CommonDivisor, Filter, StateTable> &impl) : DeterminizeFstImplBase<Arc>(impl), delta_(impl.delta_), subsequential_label_(impl.subsequential_label_), increment_subsequential_label_(impl.increment_subsequential_label_) { Init(GetFst(), nullptr); } DeterminizeFstImpl<Arc, G, CommonDivisor, Filter, StateTable> *Copy() const override { return new DeterminizeFstImpl<Arc, G, CommonDivisor, Filter, StateTable>( *this); } uint64 Properties() const override { return Properties(kFstProperties); } // Sets error if found, and returns other FST impl properties. uint64 Properties(uint64 mask) const override { if ((mask & kError) && (GetFst().Properties(kError, false) || from_fst_->Properties(kError, false))) { SetProperties(kError, kError); } return FstImpl<Arc>::Properties(mask); } StateId ComputeStart() override { return from_fst_->Start(); } Weight ComputeFinal(StateId s) override { return from_fst_->Final(s); } void Expand(StateId s) override { for (ArcIterator<FromFst> aiter(*from_fst_, s); !aiter.Done(); aiter.Next()) { CacheImpl<Arc>::PushArc(s, aiter.Value()); } CacheImpl<Arc>::SetArcs(s); } private: // Initialization of transducer determinization implementation, which is // defined after DeterminizeFst since it calls it. void Init(const Fst<Arc> &fst, Filter *filter); float delta_; Label subsequential_label_; bool increment_subsequential_label_; std::unique_ptr<FromFst> from_fst_; }; } // namespace internal // Determinizes a weighted transducer. This version is a delayed // FST. The result will be an equivalent FST that has the property // that no state has two transitions with the same input label. // For this algorithm, epsilon transitions are treated as regular // symbols (cf. RmEpsilon). // // The transducer must be functional. The weights must be (weakly) left // divisible (valid for TropicalWeight and LogWeight for instance) and be // zero-sum-free if for all a, b: (Plus(a, b) == 0) => a = b = 0. // // Complexity: // // Determinizable: exponential (polynomial in the size of the output). // Non-determinizable: does not terminate. // // The determinizable automata include all unweighted and all acyclic input. // // For more information, see: // // Mohri, M. 1997. Finite-state transducers in language and speech processing. // Computational Linguistics 23(2): 269-311. // // This class attaches interface to implementation and handles reference // counting, delegating most methods to ImplToFst. template <class A> class DeterminizeFst : public ImplToFst<internal::DeterminizeFstImplBase<A>> { public: using Arc = A; using Label = typename Arc::Label; using StateId = typename Arc::StateId; using Weight = typename Arc::Weight; using Store = DefaultCacheStore<Arc>; using State = typename Store::State; using Impl = internal::DeterminizeFstImplBase<Arc>; friend class ArcIterator<DeterminizeFst<Arc>>; friend class StateIterator<DeterminizeFst<Arc>>; template <class B, GallicType G, class CommonDivisor, class Filter, class StateTable> friend class DeterminizeFstImpl; explicit DeterminizeFst(const Fst<A> &fst) : ImplToFst<Impl>(CreateImpl(fst)) {} template <class CommonDivisor, class Filter, class StateTable> DeterminizeFst( const Fst<Arc> &fst, const DeterminizeFstOptions<Arc, CommonDivisor, Filter, StateTable> &opts = DeterminizeFstOptions<Arc, CommonDivisor, Filter, StateTable>()) : ImplToFst<Impl>(CreateImpl(fst, opts)) {} // This acceptor-only version additionally computes the distance to final // states in the output if provided with those distances for the input; this // is useful for e.g., computing the k-shortest unique paths. template <class CommonDivisor, class Filter, class StateTable> DeterminizeFst( const Fst<Arc> &fst, const std::vector<Weight> *in_dist, std::vector<Weight> *out_dist, const DeterminizeFstOptions<Arc, CommonDivisor, Filter, StateTable> &opts = DeterminizeFstOptions<Arc, CommonDivisor, Filter, StateTable>()) : ImplToFst<Impl>( std::make_shared<internal::DeterminizeFsaImpl<Arc, CommonDivisor, Filter, StateTable>>( fst, in_dist, out_dist, opts)) { if (!fst.Properties(kAcceptor, true)) { FSTERROR() << "DeterminizeFst: " << "Distance to final states computed for acceptors only"; GetMutableImpl()->SetProperties(kError, kError); } } // See Fst<>::Copy() for doc. DeterminizeFst(const DeterminizeFst<Arc> &fst, bool safe = false) : ImplToFst<Impl>(safe ? std::shared_ptr<Impl>(fst.GetImpl()->Copy()) : fst.GetSharedImpl()) {} // Get a copy of this DeterminizeFst. See Fst<>::Copy() for further doc. DeterminizeFst<Arc> *Copy(bool safe = false) const override { return new DeterminizeFst<Arc>(*this, safe); } inline void InitStateIterator(StateIteratorData<Arc> *data) const override; void InitArcIterator(StateId s, ArcIteratorData<Arc> *data) const override { GetMutableImpl()->InitArcIterator(s, data); } private: using ImplToFst<Impl>::GetImpl; using ImplToFst<Impl>::GetMutableImpl; static std::shared_ptr<Impl> CreateImpl(const Fst<Arc> &fst) { using D = DefaultCommonDivisor<Weight>; using F = DefaultDeterminizeFilter<Arc>; using T = DefaultDeterminizeStateTable<Arc, typename F::FilterState>; const DeterminizeFstOptions<Arc, D, F, T> opts; return CreateImpl(fst, opts); } template <class CommonDivisor, class Filter, class StateTable> static std::shared_ptr<Impl> CreateImpl( const Fst<Arc> &fst, const DeterminizeFstOptions<Arc, CommonDivisor, Filter, StateTable> &opts) { if (fst.Properties(kAcceptor, true)) { // Calls implementation for acceptors. return std::make_shared< internal::DeterminizeFsaImpl<Arc, CommonDivisor, Filter, StateTable>>( fst, nullptr, nullptr, opts); } else if (opts.type == DETERMINIZE_DISAMBIGUATE) { auto rv = std::make_shared<internal::DeterminizeFstImpl< Arc, GALLIC_MIN, CommonDivisor, Filter, StateTable>>(fst, opts); if (!(Weight::Properties() & kPath)) { FSTERROR() << "DeterminizeFst: Weight needs to have the " << "path property to disambiguate output: " << Weight::Type(); rv->SetProperties(kError, kError); } // Calls disambiguating implementation for non-functional transducers. return rv; } else if (opts.type == DETERMINIZE_FUNCTIONAL) { // Calls implementation for functional transducers. return std::make_shared<internal::DeterminizeFstImpl< Arc, GALLIC_RESTRICT, CommonDivisor, Filter, StateTable>>(fst, opts); } else { // opts.type == DETERMINIZE_NONFUNCTIONAL // Calls implementation for non functional transducers; return std::make_shared<internal::DeterminizeFstImpl< Arc, GALLIC, CommonDivisor, Filter, StateTable>>(fst, opts); } } DeterminizeFst &operator=(const DeterminizeFst &) = delete; }; namespace internal { // Initialization of transducer determinization implementation, which is defined // after DeterminizeFst since it calls it. template <class A, GallicType G, class D, class F, class T> void DeterminizeFstImpl<A, G, D, F, T>::Init(const Fst<A> &fst, F *filter) { // Mapper to an acceptor. const ToFst to_fst(fst, ToMapper()); auto *to_filter = filter ? new ToFilter(to_fst, filter) : nullptr; // This recursive call terminates since it is to a (non-recursive) // different constructor. const CacheOptions copts(GetCacheGc(), GetCacheLimit()); const DeterminizeFstOptions<ToArc, ToCommonDivisor, ToFilter, ToStateTable> dopts(copts, delta_, 0, DETERMINIZE_FUNCTIONAL, false, to_filter); // Uses acceptor-only constructor to avoid template recursion. const DeterminizeFst<ToArc> det_fsa(to_fst, nullptr, nullptr, dopts); // Mapper back to transducer. const FactorWeightOptions<ToArc> fopts( CacheOptions(true, 0), delta_, kFactorFinalWeights, subsequential_label_, subsequential_label_, increment_subsequential_label_, increment_subsequential_label_); const FactorWeightFst<ToArc, FactorIterator> factored_fst(det_fsa, fopts); from_fst_.reset(new FromFst(factored_fst, FromMapper(subsequential_label_))); } } // namespace internal // Specialization for DeterminizeFst. template <class Arc> class StateIterator<DeterminizeFst<Arc>> : public CacheStateIterator<DeterminizeFst<Arc>> { public: explicit StateIterator(const DeterminizeFst<Arc> &fst) : CacheStateIterator<DeterminizeFst<Arc>>(fst, fst.GetMutableImpl()) {} }; // Specialization for DeterminizeFst. template <class Arc> class ArcIterator<DeterminizeFst<Arc>> : public CacheArcIterator<DeterminizeFst<Arc>> { public: using StateId = typename Arc::StateId; ArcIterator(const DeterminizeFst<Arc> &fst, StateId s) : CacheArcIterator<DeterminizeFst<Arc>>(fst.GetMutableImpl(), s) { if (!fst.GetImpl()->HasArcs(s)) fst.GetMutableImpl()->Expand(s); } }; template <class Arc> inline void DeterminizeFst<Arc>::InitStateIterator( StateIteratorData<Arc> *data) const { data->base = new StateIterator<DeterminizeFst<Arc>>(*this); } // Useful aliases when using StdArc. using StdDeterminizeFst = DeterminizeFst<StdArc>; template <class Arc> struct DeterminizeOptions { using Label = typename Arc::Label; using StateId = typename Arc::StateId; using Weight = typename Arc::Weight; float delta; // Quantization delta for subset weights. Weight weight_threshold; // Pruning weight threshold. StateId state_threshold; // Pruning state threshold. Label subsequential_label; // Label used for residual final output. DeterminizeType type; bool increment_subsequential_label; // When creating several subsequential // arcs at a given state, make their // label distinct by incrementation? explicit DeterminizeOptions(float delta = kDelta, Weight weight_threshold = Weight::Zero(), StateId state_threshold = kNoStateId, Label subsequential_label = 0, DeterminizeType type = DETERMINIZE_FUNCTIONAL, bool increment_subsequential_label = false) : delta(delta), weight_threshold(std::move(weight_threshold)), state_threshold(state_threshold), subsequential_label(subsequential_label), type(type), increment_subsequential_label(increment_subsequential_label) {} }; // Determinizes a weighted transducer. This version writes the // determinized Fst to an output MutableFst. The result will be an // equivalent FST that has the property that no state has two // transitions with the same input label. For this algorithm, epsilon // transitions are treated as regular symbols (cf. RmEpsilon). // // The transducer must be functional. The weights must be (weakly) // left divisible (valid for TropicalWeight and LogWeight). // // Complexity: // // Determinizable: exponential (polynomial in the size of the output) // Non-determinizable: does not terminate // // The determinizable automata include all unweighted and all acyclic input. template <class Arc> void Determinize( const Fst<Arc> &ifst, MutableFst<Arc> *ofst, const DeterminizeOptions<Arc> &opts = DeterminizeOptions<Arc>()) { using Weight = typename Arc::Weight; DeterminizeFstOptions<Arc> nopts; nopts.delta = opts.delta; nopts.subsequential_label = opts.subsequential_label; nopts.type = opts.type; nopts.increment_subsequential_label = opts.increment_subsequential_label; nopts.gc_limit = 0; // Caches only the last state for fastest copy. if (opts.weight_threshold != Weight::Zero() || opts.state_threshold != kNoStateId) { if (ifst.Properties(kAcceptor, false)) { std::vector<Weight> idistance; std::vector<Weight> odistance; ShortestDistance(ifst, &idistance, true); DeterminizeFst<Arc> dfst(ifst, &idistance, &odistance, nopts); PruneOptions<Arc, AnyArcFilter<Arc>> popts( opts.weight_threshold, opts.state_threshold, AnyArcFilter<Arc>(), &odistance); Prune(dfst, ofst, popts); } else { *ofst = DeterminizeFst<Arc>(ifst, nopts); Prune(ofst, opts.weight_threshold, opts.state_threshold); } } else { *ofst = DeterminizeFst<Arc>(ifst, nopts); } } } // namespace fst #endif // FST_DETERMINIZE_H_ |