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tools/openfst-1.6.7/src/include/fst/sparse-tuple-weight.h 12.2 KB
8dcb6dfcb   Yannick Estève   first commit
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  // See www.openfst.org for extensive documentation on this weighted
  // finite-state transducer library.
  //
  // Sparse version of tuple-weight, based on tuple-weight.h.
  // Internally stores sparse key, value pairs in linked list. The default value
  // element is the assumed value of unset keys. Internal singleton
  // implementation that stores first key, value pair as a initialized member
  // variable to avoid unnecessary allocation on heap. Use
  // SparseTupleWeightIterator to iterate through the key,value pairs. Note:
  // this does NOT iterate through the default value.
  //
  // Sparse tuple weight set operation definitions.
  
  #ifndef FST_SPARSE_TUPLE_WEIGHT_H_
  #define FST_SPARSE_TUPLE_WEIGHT_H_
  
  #include <algorithm>
  #include <list>
  #include <stack>
  #include <string>
  #include <unordered_map>
  #include <utility>
  
  
  #include <fst/weight.h>
  
  
  namespace fst {
  
  template <class W, class K>
  class SparseTupleWeightIterator;
  
  // Arbitrary dimension tuple weight, stored as a sorted linked-list.
  // W is any weight class, and K is the key value type. kNoKey (-1) is reserved
  // for internal use.
  template <class W, class K = int>
  class SparseTupleWeight {
   public:
    using ReverseWeight = SparseTupleWeight<typename W::ReverseWeight, K>;
  
    using Iterator = SparseTupleWeightIterator<W, K>;
    using Pair = std::pair<K, W>;
    using Weight = W;
    using Index = K;
  
    constexpr static K kNoKey = -1;
  
    SparseTupleWeight() { Init(); }
  
    template <class Iterator>
    SparseTupleWeight(Iterator begin, Iterator end) {
      Init();
      // Assumes input iterator is sorted.
      for (auto it = begin; it != end; ++it) PushBack(*it);
    }
  
    // Initialize component `key` to `weight`, with `default_weight` for all
    // other components.
    SparseTupleWeight(const K &key, const W &weight, const W &default_weight)
        : default_(default_weight),
          first_(weight == default_weight ? kNoKey : key, weight) {}
  
    explicit SparseTupleWeight(const W &weight) { Init(weight); }
  
    SparseTupleWeight(const SparseTupleWeight &weight) {
      Init(weight.DefaultValue());
      SetDefaultValue(weight.DefaultValue());
      for (Iterator it(weight); !it.Done(); it.Next()) {
        PushBack(it.Value());
      }
    }
  
    SparseTupleWeight(SparseTupleWeight &&weight)
      // Don't move the default, so weight.default_ is still valid.
      : default_(weight.default_), first_(std::move(weight.first_)),
        rest_(std::move(weight.rest_)) {
      // move leaves the source in a valid but unspecified state.
      // Make sure the source weight is empty.
      weight.first_ = Pair(kNoKey, W::NoWeight());
      weight.rest_.clear();
    }
  
    static const SparseTupleWeight &Zero() {
      static const SparseTupleWeight zero(W::Zero());
      return zero;
    }
  
    static const SparseTupleWeight &One() {
      static const SparseTupleWeight one(W::One());
      return one;
    }
  
    static const SparseTupleWeight &NoWeight() {
      static const SparseTupleWeight no_weight(W::NoWeight());
      return no_weight;
    }
  
    std::istream &Read(std::istream &strm) {
      ReadType(strm, &default_);
      ReadType(strm, &first_);
      return ReadType(strm, &rest_);
    }
  
    std::ostream &Write(std::ostream &strm) const {
      WriteType(strm, default_);
      WriteType(strm, first_);
      return WriteType(strm, rest_);
    }
  
    SparseTupleWeight &operator=(const SparseTupleWeight &weight) {
      if (this == &weight) return *this;  // Checks for identity.
      Init(weight.DefaultValue());
      for (Iterator it(weight); !it.Done(); it.Next()) {
        PushBack(it.Value());
      }
      return *this;
    }
  
    SparseTupleWeight &operator=(SparseTupleWeight &&weight) {
      if (this == &weight) return *this;  // Checks for identity.
      default_ = weight.default_;
      std::swap(first_, weight.first_);
      std::swap(rest_, weight.rest_);
      return *this;
    }
  
    bool Member() const {
      if (!DefaultValue().Member()) return false;
      for (Iterator it(*this); !it.Done(); it.Next()) {
        if (!it.Value().second.Member()) return false;
      }
      return true;
    }
  
    // Assumes H() function exists for the hash of the key value.
    size_t Hash() const {
      size_t h = 0;
      static const std::hash<K> H;
      for (Iterator it(*this); !it.Done(); it.Next()) {
        h = 5 * h + H(it.Value().first);
        h = 13 * h + it.Value().second.Hash();
      }
      return h;
    }
  
    SparseTupleWeight Quantize(float delta = kDelta) const {
      SparseTupleWeight weight;
      for (Iterator it(*this); !it.Done(); it.Next()) {
        weight.PushBack(it.Value().first, it.Value().second.Quantize(delta));
      }
      return weight;
    }
  
    ReverseWeight Reverse() const {
      SparseTupleWeight weight;
      for (Iterator it(*this); !it.Done(); it.Next()) {
        weight.PushBack(it.Value().first, it.Value().second.Reverse());
      }
      return ReverseWeight(weight);
    }
  
    void Init(const W &default_value = W::Zero()) {
      first_ = Pair(kNoKey, W::NoWeight());
      // Initialized to the reserved key value.
      default_ = default_value;
      rest_.clear();
    }
  
    size_t Size() const {
      if (first_.first == kNoKey) {
        return 0;
      } else {
        return rest_.size() + 1;
      }
    }
  
    inline void PushBack(const K &key, const W &weight,
                         bool default_value_check = true) {
      PushBack(std::make_pair(key, weight), default_value_check);
    }
  
    inline void PushBack(const Pair &pair, bool default_value_check = true) {
      if (default_value_check && pair.second == default_) return;
      if (first_.first == kNoKey) {
        first_ = pair;
      } else {
        rest_.push_back(pair);
      }
    }
  
    // Returns the `key`-th component, or the default value if not set.
    const W &Value(const K &key) const {
      // TODO(rybach): Consider binary search.
      Iterator iter(*this);
      for (; !iter.Done() && iter.Value().first < key; iter.Next()) continue;
      return !iter.Done() && iter.Value().first == key ? iter.Value().second
                                                       : DefaultValue();
    }
  
    void SetValue(const K &key, const W &w) {
      if (w == DefaultValue()) {
        ClearValue(key);
      } else {
        SetValueToNonDefault(key, w);
      }
    }
  
    void SetDefaultValue(const W &value) { default_ = value; }
  
    const W &DefaultValue() const { return default_; }
  
   private:
    void SetValueToNonDefault(const K &key, const W &w) {
      // Don't use SparseTupleWeightIterator, since that's const.
      if (first_.first == kNoKey) {
        first_ = Pair(key, w);
      } else if (key < first_.first) {
        rest_.push_front(first_);
        first_ = Pair(key, w);
      } else if (key == first_.first) {
        first_.second = w;
      } else {
        const auto i =
            std::find_if(rest_.begin(), rest_.end(),
                         [key](const Pair &p) { return p.first >= key; });
        if (i != rest_.end() && i->first == key) {
          i->second = w;
        } else {
          rest_.insert(i, Pair(key, w));
        }
      }
    }
  
    // Removes the weight value for `key`, having the effect of setting
    // it to `DefaultValue()`.
    void ClearValue(const K &key) {
      if (key == first_.first) {
        if (!rest_.empty()) {
          first_ = rest_.front();
          rest_.pop_front();
        } else {
          first_.first = kNoKey;
        }
      } else if (key > first_.first) {
        const auto i =
            std::find_if(rest_.begin(), rest_.end(),
                         [key](const Pair &p) { return p.first >= key; });
        if (i != rest_.end() && i->first == key) {
          rest_.erase(i);
        }
      }
    }
  
    // Assumed default value of uninitialized keys, by default W::Zero().
    W default_;
  
    // Key values pairs are first stored in first_, then fill rest_ this way we
    // can avoid dynamic allocation in the common case where the weight is a
    // single key/value pair.
    Pair first_;
    std::list<Pair> rest_;
  
    friend class SparseTupleWeightIterator<W, K>;
  };
  
  // Declare storage for kNoKey since it is passed by reference.
  template <class W, class K>
  constexpr K SparseTupleWeight<W, K>::kNoKey;
  
  template <class W, class K>
  class SparseTupleWeightIterator {
   public:
    using Pair = typename SparseTupleWeight<W, K>::Pair;
    using const_iterator = typename std::list<Pair>::const_iterator;
    using iterator = typename std::list<Pair>::iterator;
  
    explicit SparseTupleWeightIterator(const SparseTupleWeight<W, K> &weight)
        : first_(weight.first_),
          rest_(weight.rest_),
          init_(true),
          iter_(rest_.begin()) {}
  
    bool Done() const {
      if (init_) {
        return first_.first == SparseTupleWeight<W, K>::kNoKey;
      } else {
        return iter_ == rest_.end();
      }
    }
  
    const Pair &Value() const { return init_ ? first_ : *iter_; }
  
    void Next() {
      if (init_) {
        init_ = false;
      } else {
        ++iter_;
      }
    }
  
    void Reset() {
      init_ = true;
      iter_ = rest_.begin();
    }
  
   private:
    const Pair &first_;
    const std::list<Pair> &rest_;
    bool init_;  // In the initialized state?
    const_iterator iter_;
  };
  
  // M must be callable as a function W(K, W, W).
  // K will be kNoKey when mapping the default value.
  template <class W, class K, class M>
  inline void SparseTupleWeightMap(SparseTupleWeight<W, K> *result,
                                   const SparseTupleWeight<W, K> &w1,
                                   const SparseTupleWeight<W, K> &w2,
                                   const M &operator_mapper) {
    SparseTupleWeightIterator<W, K> w1_it(w1);
    SparseTupleWeightIterator<W, K> w2_it(w2);
    const auto &v1_def = w1.DefaultValue();
    const auto &v2_def = w2.DefaultValue();
    result->SetDefaultValue(
        operator_mapper(SparseTupleWeight<W, K>::kNoKey, v1_def, v2_def));
    while (!w1_it.Done() || !w2_it.Done()) {
      const auto &k1 = (w1_it.Done()) ? w2_it.Value().first : w1_it.Value().first;
      const auto &k2 = (w2_it.Done()) ? w1_it.Value().first : w2_it.Value().first;
      const auto &v1 = (w1_it.Done()) ? v1_def : w1_it.Value().second;
      const auto &v2 = (w2_it.Done()) ? v2_def : w2_it.Value().second;
      if (k1 == k2) {
        result->PushBack(k1, operator_mapper(k1, v1, v2));
        if (!w1_it.Done()) w1_it.Next();
        if (!w2_it.Done()) w2_it.Next();
      } else if (k1 < k2) {
        result->PushBack(k1, operator_mapper(k1, v1, v2_def));
        w1_it.Next();
      } else {
        result->PushBack(k2, operator_mapper(k2, v1_def, v2));
        w2_it.Next();
      }
    }
  }
  
  template <class W, class K>
  inline bool operator==(const SparseTupleWeight<W, K> &w1,
                         const SparseTupleWeight<W, K> &w2) {
    const auto &v1_def = w1.DefaultValue();
    const auto &v2_def = w2.DefaultValue();
    if (v1_def != v2_def) return false;
    SparseTupleWeightIterator<W, K> w1_it(w1);
    SparseTupleWeightIterator<W, K> w2_it(w2);
    while (!w1_it.Done() || !w2_it.Done()) {
      const auto &k1 = (w1_it.Done()) ? w2_it.Value().first : w1_it.Value().first;
      const auto &k2 = (w2_it.Done()) ? w1_it.Value().first : w2_it.Value().first;
      const auto &v1 = (w1_it.Done()) ? v1_def : w1_it.Value().second;
      const auto &v2 = (w2_it.Done()) ? v2_def : w2_it.Value().second;
      if (k1 == k2) {
        if (v1 != v2) return false;
        if (!w1_it.Done()) w1_it.Next();
        if (!w2_it.Done()) w2_it.Next();
      } else if (k1 < k2) {
        if (v1 != v2_def) return false;
        w1_it.Next();
      } else {
        if (v1_def != v2) return false;
        w2_it.Next();
      }
    }
    return true;
  }
  
  template <class W, class K>
  inline bool operator!=(const SparseTupleWeight<W, K> &w1,
                         const SparseTupleWeight<W, K> &w2) {
    return !(w1 == w2);
  }
  
  template <class W, class K>
  inline std::ostream &operator<<(std::ostream &strm,
                                  const SparseTupleWeight<W, K> &weight) {
    CompositeWeightWriter writer(strm);
    writer.WriteBegin();
    writer.WriteElement(weight.DefaultValue());
    for (SparseTupleWeightIterator<W, K> it(weight); !it.Done(); it.Next()) {
      writer.WriteElement(it.Value().first);
      writer.WriteElement(it.Value().second);
    }
    writer.WriteEnd();
    return strm;
  }
  
  template <class W, class K>
  inline std::istream &operator>>(std::istream &strm,
                                  SparseTupleWeight<W, K> &weight) {
    CompositeWeightReader reader(strm);
    reader.ReadBegin();
    W def;
    bool more = reader.ReadElement(&def);
    weight.Init(def);
    while (more) {
      K key;
      reader.ReadElement(&key);
      W v;
      more = reader.ReadElement(&v);
      weight.PushBack(key, v);
    }
    reader.ReadEnd();
    return strm;
  }
  
  }  // namespace fst
  
  #endif  // FST_SPARSE_TUPLE_WEIGHT_H_