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#ifndef LM_BINARY_FORMAT__
#define LM_BINARY_FORMAT__
#include "lm/config.hh"
#include "lm/read_arpa.hh"
#include "util/file_piece.hh"
#include "util/mmap.hh"
#include "util/scoped.hh"
#include <cstddef>
#include <vector>
#include <inttypes.h>
namespace lm {
namespace ngram {
typedef enum {HASH_PROBING=0, HASH_SORTED=1, TRIE_SORTED=2} ModelType;
struct FixedWidthParameters {
unsigned char order;
float probing_multiplier;
// What type of model is this?
ModelType model_type;
// Does the end of the file have the actual strings in the vocabulary?
bool has_vocabulary;
};
struct Parameters {
FixedWidthParameters fixed;
std::vector<uint64_t> counts;
};
struct Backing {
// File behind memory, if any.
util::scoped_fd file;
// Raw block of memory backing the language model data structures
util::scoped_memory memory;
};
namespace detail {
bool IsBinaryFormat(int fd);
void ReadHeader(int fd, Parameters ¶ms);
void MatchCheck(ModelType model_type, const Parameters ¶ms);
uint8_t *SetupBinary(const Config &config, const Parameters ¶ms, std::size_t memory_size, Backing &backing);
uint8_t *SetupZeroed(const Config &config, ModelType model_type, const std::vector<uint64_t> &counts, std::size_t memory_size, Backing &backing);
void ComplainAboutARPA(const Config &config, ModelType model_type);
} // namespace detail
bool RecognizeBinary(const char *file, ModelType &recognized);
template <class To> void LoadLM(const char *file, const Config &config, To &to) {
Backing &backing = to.MutableBacking();
backing.file.reset(util::OpenReadOrThrow(file));
Parameters params;
try {
if (detail::IsBinaryFormat(backing.file.get())) {
detail::ReadHeader(backing.file.get(), params);
detail::MatchCheck(To::kModelType, params);
std::size_t memory_size = To::Size(params.counts, config);
uint8_t *start = detail::SetupBinary(config, params, memory_size, backing);
to.InitializeFromBinary(start, params, config, backing.file.get());
} else {
detail::ComplainAboutARPA(config, To::kModelType);
util::FilePiece f(backing.file.release(), file, config.messages);
ReadARPACounts(f, params.counts);
std::size_t memory_size = To::Size(params.counts, config);
uint8_t *start = detail::SetupZeroed(config, To::kModelType, params.counts, memory_size, backing);
to.InitializeFromARPA(file, f, start, params, config);
}
} catch (util::Exception &e) {
e << " in file " << file;
throw;
}
}
} // namespace ngram
} // namespace lm
#endif // LM_BINARY_FORMAT__
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