mirror of
https://github.com/moses-smt/mosesdecoder.git
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96 lines
2.7 KiB
C++
96 lines
2.7 KiB
C++
#ifndef LM_READ_ARPA_H
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#define LM_READ_ARPA_H
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#include "lm/lm_exception.hh"
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#include "lm/word_index.hh"
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#include "lm/weights.hh"
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#include "util/file_piece.hh"
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#include <cstddef>
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#include <iosfwd>
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#include <vector>
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namespace lm {
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void ReadARPACounts(util::FilePiece &in, std::vector<uint64_t> &number);
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void ReadNGramHeader(util::FilePiece &in, unsigned int length);
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void ReadBackoff(util::FilePiece &in, Prob &weights);
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void ReadBackoff(util::FilePiece &in, float &backoff);
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inline void ReadBackoff(util::FilePiece &in, ProbBackoff &weights) {
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ReadBackoff(in, weights.backoff);
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}
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inline void ReadBackoff(util::FilePiece &in, RestWeights &weights) {
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ReadBackoff(in, weights.backoff);
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}
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void ReadEnd(util::FilePiece &in);
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extern const bool kARPASpaces[256];
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// Positive log probability warning.
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class PositiveProbWarn {
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public:
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PositiveProbWarn() : action_(THROW_UP) {}
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explicit PositiveProbWarn(WarningAction action) : action_(action) {}
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void Warn(float prob);
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private:
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WarningAction action_;
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};
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template <class Weights> StringPiece Read1Gram(util::FilePiece &f, Weights &weights, PositiveProbWarn &warn) {
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try {
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weights.prob = f.ReadFloat();
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if (weights.prob > 0.0) {
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warn.Warn(weights.prob);
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weights.prob = 0.0;
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}
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UTIL_THROW_IF(f.get() != '\t', FormatLoadException, "Expected tab after probability");
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StringPiece ret(f.ReadDelimited(kARPASpaces));
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ReadBackoff(f, weights);
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return ret;
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} catch(util::Exception &e) {
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e << " in the 1-gram at byte " << f.Offset();
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throw;
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}
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}
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template <class Voc, class Weights> void Read1Gram(util::FilePiece &f, Voc &vocab, Weights *unigrams, PositiveProbWarn &warn) {
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Weights temp;
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WordIndex word = vocab.Insert(Read1Gram(f, temp, warn));
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unigrams[word] = temp;
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}
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template <class Voc, class Weights> void Read1Grams(util::FilePiece &f, std::size_t count, Voc &vocab, Weights *unigrams, PositiveProbWarn &warn) {
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ReadNGramHeader(f, 1);
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for (std::size_t i = 0; i < count; ++i) {
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Read1Gram(f, vocab, unigrams, warn);
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}
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vocab.FinishedLoading(unigrams);
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}
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// Read ngram, write vocab ids to indices_out.
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template <class Voc, class Weights, class Iterator> void ReadNGram(util::FilePiece &f, const unsigned char n, const Voc &vocab, Iterator indices_out, Weights &weights, PositiveProbWarn &warn) {
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try {
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weights.prob = f.ReadFloat();
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if (weights.prob > 0.0) {
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warn.Warn(weights.prob);
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weights.prob = 0.0;
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}
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for (unsigned char i = 0; i < n; ++i, ++indices_out) {
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*indices_out = vocab.Index(f.ReadDelimited(kARPASpaces));
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}
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ReadBackoff(f, weights);
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} catch(util::Exception &e) {
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e << " in the " << static_cast<unsigned int>(n) << "-gram at byte " << f.Offset();
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throw;
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}
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}
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} // namespace lm
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#endif // LM_READ_ARPA_H
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