зеркало из https://github.com/mozilla/kaldi.git
228 строки
7.3 KiB
Diff
228 строки
7.3 KiB
Diff
*** minimize.h
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***************
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*** 134,140 ****
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typedef typename A::Weight Weight;
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typedef ReverseArc<A> RevA;
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! CyclicMinimizer(const ExpandedFst<A>& fst) {
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Initialize(fst);
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Compute(fst);
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}
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--- 134,147 ----
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typedef typename A::Weight Weight;
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typedef ReverseArc<A> RevA;
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! CyclicMinimizer(const ExpandedFst<A>& fst):
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! // tell the Partition data-member to expect multiple repeated
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! // calls to SplitOn with the same element if we are non-deterministic.
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! P_(fst.Properties(kIDeterministic, true) == 0) {
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! if(fst.Properties(kIDeterministic, true) == 0)
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! CHECK(Weight::Properties() & kIdempotent); // this minimization
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! // algorithm for non-deterministic FSTs can only work with idempotent
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! // semirings.
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Initialize(fst);
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Compute(fst);
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}
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***************
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*** 315,321 ****
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typedef typename A::StateId ClassId;
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typedef typename A::Weight Weight;
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! AcyclicMinimizer(const ExpandedFst<A>& fst) {
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Initialize(fst);
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Refine(fst);
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}
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--- 322,334 ----
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typedef typename A::StateId ClassId;
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typedef typename A::Weight Weight;
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! AcyclicMinimizer(const ExpandedFst<A>& fst):
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! // tell the Partition data-member to expect multiple repeated
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! // calls to SplitOn with the same element if we are non-deterministic.
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! partition_(fst.Properties(kIDeterministic, true) == 0) {
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! if(fst.Properties(kIDeterministic, true) == 0)
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! CHECK(Weight::Properties() & kIdempotent); // minimization for
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! // non-deterministic FSTs can only work with idempotent semirings.
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Initialize(fst);
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Refine(fst);
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}
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***************
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*** 531,543 ****
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void Minimize(MutableFst<A>* fst,
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MutableFst<A>* sfst = 0,
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float delta = kDelta) {
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! uint64 props = fst->Properties(kAcceptor | kIDeterministic|
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! kWeighted | kUnweighted, true);
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! if (!(props & kIDeterministic)) {
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! FSTERROR() << "FST is not deterministic";
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! fst->SetProperties(kError, kError);
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! return;
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! }
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if (!(props & kAcceptor)) { // weighted transducer
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VectorFst< GallicArc<A, STRING_LEFT> > gfst;
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--- 544,550 ----
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void Minimize(MutableFst<A>* fst,
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MutableFst<A>* sfst = 0,
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float delta = kDelta) {
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! uint64 props = fst->Properties(kAcceptor | kWeighted | kUnweighted, true);
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if (!(props & kAcceptor)) { // weighted transducer
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VectorFst< GallicArc<A, STRING_LEFT> > gfst;
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*** partition.h
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***************
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*** 43,50 ****
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friend class PartitionIterator<T>;
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struct Element {
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! Element() : value(0), next(0), prev(0) {}
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! Element(T v) : value(v), next(0), prev(0) {}
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T value;
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Element* next;
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--- 43,50 ----
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friend class PartitionIterator<T>;
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struct Element {
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! Element() : value(0), next(0), prev(0) {}
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! Element(T v) : value(v), next(0), prev(0) {}
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T value;
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Element* next;
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***************
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*** 52,60 ****
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};
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public:
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! Partition() {}
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! Partition(T num_states) {
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Initialize(num_states);
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}
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--- 52,62 ----
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};
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public:
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! Partition(bool allow_repeated_split):
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! allow_repeated_split_(allow_repeated_split) {}
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! Partition(bool allow_repeated_split, T num_states):
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! allow_repeated_split_(allow_repeated_split) {
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Initialize(num_states);
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}
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***************
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*** 137,152 ****
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if (class_size_[class_id] == 1) return;
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// first time class is split
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! if (split_size_[class_id] == 0)
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visited_classes_.push_back(class_id);
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!
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// increment size of split (set of element at head of chain)
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split_size_[class_id]++;
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!
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// update split point
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! if (class_split_[class_id] == 0)
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! class_split_[class_id] = classes_[class_id];
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! if (class_split_[class_id] == elements_[element_id])
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class_split_[class_id] = elements_[element_id]->next;
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// move to head of chain in same class
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--- 139,154 ----
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if (class_size_[class_id] == 1) return;
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// first time class is split
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! if (split_size_[class_id] == 0) {
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visited_classes_.push_back(class_id);
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! class_split_[class_id] = classes_[class_id];
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! }
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// increment size of split (set of element at head of chain)
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split_size_[class_id]++;
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!
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// update split point
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! if (class_split_[class_id] != 0
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! && class_split_[class_id] == elements_[element_id])
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class_split_[class_id] = elements_[element_id]->next;
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// move to head of chain in same class
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***************
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*** 157,180 ****
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// class indices of the newly created class. Returns the new_class id
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// or -1 if no new class was created.
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T SplitRefine(T class_id) {
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// only split if necessary
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! if (class_size_[class_id] == split_size_[class_id]) {
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! class_split_[class_id] = 0;
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split_size_[class_id] = 0;
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return -1;
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} else {
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-
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T new_class = AddClass();
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size_t remainder = class_size_[class_id] - split_size_[class_id];
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if (remainder < split_size_[class_id]) { // add smaller
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- Element* split_el = class_split_[class_id];
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classes_[new_class] = split_el;
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- class_size_[class_id] = split_size_[class_id];
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- class_size_[new_class] = remainder;
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split_el->prev->next = 0;
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split_el->prev = 0;
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} else {
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- Element* split_el = class_split_[class_id];
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classes_[new_class] = classes_[class_id];
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class_size_[class_id] = remainder;
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class_size_[new_class] = split_size_[class_id];
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--- 159,189 ----
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// class indices of the newly created class. Returns the new_class id
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// or -1 if no new class was created.
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T SplitRefine(T class_id) {
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+
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+ Element* split_el = class_split_[class_id];
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// only split if necessary
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! //if (class_size_[class_id] == split_size_[class_id]) {
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! if(split_el == NULL) { // we split on everything...
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split_size_[class_id] = 0;
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return -1;
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} else {
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T new_class = AddClass();
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+
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+ if(allow_repeated_split_) { // split_size_ is possibly
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+ // inaccurate, so work it out exactly.
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+ size_t split_count; Element *e;
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+ for(split_count=0,e=classes_[class_id];
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+ e != split_el; split_count++, e=e->next);
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+ split_size_[class_id] = split_count;
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+ }
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size_t remainder = class_size_[class_id] - split_size_[class_id];
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if (remainder < split_size_[class_id]) { // add smaller
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classes_[new_class] = split_el;
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split_el->prev->next = 0;
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split_el->prev = 0;
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+ class_size_[class_id] = split_size_[class_id];
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+ class_size_[new_class] = remainder;
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} else {
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classes_[new_class] = classes_[class_id];
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class_size_[class_id] = remainder;
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class_size_[new_class] = split_size_[class_id];
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***************
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*** 245,254 ****
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--- 254,269 ----
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vector<T> class_size_;
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// size of split for each class
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+ // in the nondeterministic case, split_size_ is actually an upper
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+ // bound on the size of split for each class.
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vector<T> split_size_;
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// set of visited classes to be used in split refine
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vector<T> visited_classes_;
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+
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+ // true if input fst was deterministic: we can make
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+ // certain assumptions in this case that speed up the algorithm.
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+ bool allow_repeated_split_;
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};
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