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#ifndef LM_READ_ARPA__
#define LM_READ_ARPA__
#include "lm/lm_exception.hh"
#include "lm/word_index.hh"
#include "lm/weights.hh"
#include "util/file_piece.hh"
#include <cstddef>
#include <iosfwd>
#include <vector>
namespace lm {
void ReadARPACounts(util::FilePiece &in, std::vector<uint64_t> &number);
void ReadARPACounts(std::istream &in, std::vector<uint64_t> &number);
void ReadNGramHeader(util::FilePiece &in, unsigned int length);
void ReadNGramHeader(std::istream &in, unsigned int length);
void ReadBackoff(util::FilePiece &in, Prob &weights);
void ReadBackoff(util::FilePiece &in, ProbBackoff &weights);
void ReadEnd(util::FilePiece &in);
void ReadEnd(std::istream &in);
template <class Voc> void Read1Gram(util::FilePiece &f, Voc &vocab, ProbBackoff *unigrams) {
try {
float prob = f.ReadFloat();
if (prob > 0) UTIL_THROW(FormatLoadException, "Positive probability " << prob);
if (f.get() != '\t') UTIL_THROW(FormatLoadException, "Expected tab after probability");
ProbBackoff &value = unigrams[vocab.Insert(f.ReadDelimited())];
value.prob = prob;
ReadBackoff(f, value);
} catch(util::Exception &e) {
e << " in the 1-gram at byte " << f.Offset();
throw;
}
}
template <class Voc> void Read1Grams(util::FilePiece &f, std::size_t count, Voc &vocab, ProbBackoff *unigrams) {
ReadNGramHeader(f, 1);
for (std::size_t i = 0; i < count; ++i) {
Read1Gram(f, vocab, unigrams);
}
vocab.FinishedLoading(unigrams);
}
template <class Voc, class Weights> void ReadNGram(util::FilePiece &f, const unsigned char n, const Voc &vocab, WordIndex *const reverse_indices, Weights &weights) {
try {
weights.prob = f.ReadFloat();
if (weights.prob > 0) UTIL_THROW(FormatLoadException, "Positive probability " << weights.prob);
for (WordIndex *vocab_out = reverse_indices + n - 1; vocab_out >= reverse_indices; --vocab_out) {
*vocab_out = vocab.Index(f.ReadDelimited());
}
ReadBackoff(f, weights);
} catch(util::Exception &e) {
e << " in the " << n << "-gram at byte " << f.Offset();
throw;
}
}
} // namespace lm
#endif // LM_READ_ARPA__
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