peacock-data-public-datasets-idc-temp-code
/
cc-multilingual-main
/cc_net
/third_party
/kenlm
/lm
/common
/ngram.hh
namespace lm { | |
class NGramHeader { | |
public: | |
NGramHeader(void *begin, std::size_t order) | |
: begin_(static_cast<WordIndex*>(begin)), end_(begin_ + order) {} | |
NGramHeader() : begin_(NULL), end_(NULL) {} | |
const uint8_t *Base() const { return reinterpret_cast<const uint8_t*>(begin_); } | |
uint8_t *Base() { return reinterpret_cast<uint8_t*>(begin_); } | |
void ReBase(void *to) { | |
std::size_t difference = end_ - begin_; | |
begin_ = reinterpret_cast<WordIndex*>(to); | |
end_ = begin_ + difference; | |
} | |
// These are for the vocab index. | |
// Lower-case in deference to STL. | |
const WordIndex *begin() const { return begin_; } | |
WordIndex *begin() { return begin_; } | |
const WordIndex *end() const { return end_; } | |
WordIndex *end() { return end_; } | |
std::size_t size() const { return end_ - begin_; } | |
std::size_t Order() const { return end_ - begin_; } | |
private: | |
WordIndex *begin_, *end_; | |
}; | |
template <class PayloadT> class NGram : public NGramHeader { | |
public: | |
typedef PayloadT Payload; | |
NGram() : NGramHeader(NULL, 0) {} | |
NGram(void *begin, std::size_t order) : NGramHeader(begin, order) {} | |
// Would do operator++ but that can get confusing for a stream. | |
void NextInMemory() { | |
ReBase(&Value() + 1); | |
} | |
static std::size_t TotalSize(std::size_t order) { | |
return order * sizeof(WordIndex) + sizeof(Payload); | |
} | |
std::size_t TotalSize() const { | |
// Compiler should optimize this. | |
return TotalSize(Order()); | |
} | |
static std::size_t OrderFromSize(std::size_t size) { | |
std::size_t ret = (size - sizeof(Payload)) / sizeof(WordIndex); | |
assert(size == TotalSize(ret)); | |
return ret; | |
} | |
const Payload &Value() const { return *reinterpret_cast<const Payload *>(end()); } | |
Payload &Value() { return *reinterpret_cast<Payload *>(end()); } | |
}; | |
} // namespace lm | |