#include "lm/builder/print.hh" #include "util/fake_ofstream.hh" #include "util/file.hh" #include "util/mmap.hh" #include "util/scoped.hh" #include "util/stream/timer.hh" #include #include namespace lm { namespace builder { VocabReconstitute::VocabReconstitute(int fd) { uint64_t size = util::SizeOrThrow(fd); util::MapRead(util::POPULATE_OR_READ, fd, 0, size, memory_); const char *const start = static_cast(memory_.get()); const char *i; for (i = start; i != start + size; i += strlen(i) + 1) { map_.push_back(i); } // Last one for LookupPiece. map_.push_back(i); } PrintARPA::PrintARPA(const VocabReconstitute &vocab, const std::vector &counts, const HeaderInfo* header_info, int out_fd) : vocab_(vocab), out_fd_(out_fd) { std::stringstream stream; if (header_info) { stream << "# Input file: " << header_info->input_file << '\n'; stream << "# Token count: " << header_info->token_count << '\n'; stream << "# Smoothing: Modified Kneser-Ney" << '\n'; } stream << "\\data\\\n"; for (size_t i = 0; i < counts.size(); ++i) { stream << "ngram " << (i+1) << '=' << counts[i] << '\n'; } stream << '\n'; std::string as_string(stream.str()); util::WriteOrThrow(out_fd, as_string.data(), as_string.size()); } void PrintARPA::Run(const ChainPositions &positions) { util::scoped_fd closer(out_fd_); UTIL_TIMER("(%w s) Wrote ARPA file\n"); util::FakeOFStream out(out_fd_); for (unsigned order = 1; order <= positions.size(); ++order) { out << "\\" << order << "-grams:" << '\n'; for (NGramStream stream(positions[order - 1]); stream; ++stream) { // Correcting for numerical precision issues. Take that IRST. out << std::min(0.0f, stream->Value().complete.prob) << '\t' << vocab_.Lookup(*stream->begin()); for (const WordIndex *i = stream->begin() + 1; i != stream->end(); ++i) { out << ' ' << vocab_.Lookup(*i); } float backoff = stream->Value().complete.backoff; if (backoff != 0.0) out << '\t' << backoff; out << '\n'; } out << '\n'; } out << "\\end\\\n"; } }} // namespaces