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ton/tdfec/td/fec/raptorq/Decoder.cpp
2019-09-07 14:33:36 +04:00

152 lines
4.2 KiB
C++

/*
This file is part of TON Blockchain Library.
TON Blockchain Library is free software: you can redistribute it and/or modify
it under the terms of the GNU Lesser General Public License as published by
the Free Software Foundation, either version 2 of the License, or
(at your option) any later version.
TON Blockchain Library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public License
along with TON Blockchain Library. If not, see <http://www.gnu.org/licenses/>.
Copyright 2017-2019 Telegram Systems LLP
*/
#include "td/fec/raptorq/Decoder.h"
namespace td {
namespace raptorq {
Result<std::unique_ptr<Decoder>> Decoder::create(Encoder::Parameters p) {
TRY_RESULT(rfc_p, Rfc::get_parameters(p.symbols_count));
return std::make_unique<Decoder>(rfc_p, p.symbol_size, p.data_size);
}
Decoder::Decoder(const Rfc::Parameters &p, size_t symbol_size, size_t data_size) : p_(p) {
mask_ = vector<bool>(p.K, false);
mask_size_ = 0;
data_ = BufferSlice(p.K * symbol_size);
data_size_ = data_size;
symbol_size_ = symbol_size;
}
bool Decoder::may_try_decode() const {
return may_decode_;
}
Status Decoder::add_symbol(SymbolRef symbol) {
if (symbol.data.size() != symbol_size_) {
return Status::Error("Symbol has invalid length");
}
if (symbol.id < p_.K) {
add_small_symbol(symbol);
return Status::OK();
}
if (mask_size_ + slow_symbols_set_.size() >= p_.K + 10) {
return Status::OK();
}
add_big_symbol(symbol);
return Status::OK();
}
Result<Decoder::DataWithEncoder> Decoder::try_decode(bool need_encoder) {
if (!may_decode_) {
return Status::Error("Need more symbols");
}
optional<RawEncoder> raw_encoder;
if (mask_size_ < p_.K) {
flush_symbols();
may_decode_ = false;
TRY_RESULT(C, Solver::run(p_, symbols_));
raw_encoder = RawEncoder(p_, std::move(C));
for (uint32 i = 0; i < p_.K; i++) {
if (!mask_[i]) {
(*raw_encoder).gen_symbol(i, data_.as_slice().substr(i * symbol_size_, symbol_size_));
mask_[i] = true;
mask_size_++;
}
}
}
auto data = data_.from_slice(data_.as_slice().truncate(data_size_));
std::unique_ptr<Encoder> encoder;
if (need_encoder) {
encoder = std::make_unique<Encoder>(p_, symbol_size_, data.copy(), std::move(raw_encoder));
}
return DataWithEncoder{std::move(data), std::move(encoder)};
}
void Decoder::add_small_symbol(SymbolRef symbol) {
if (mask_[symbol.id]) {
return;
}
mask_size_++;
mask_[symbol.id] = true;
auto slice = data_.as_slice().substr(symbol.id * symbol_size_, symbol_size_);
slice.copy_from(symbol.data);
if (flush_symbols_) {
symbols_.push_back({symbol.id, slice});
}
update_may_decode();
}
void Decoder::add_big_symbol(SymbolRef symbol) {
if (!slow_path_) {
on_first_slow_path();
}
symbol.id += p_.K_padded - p_.K;
if (slow_symbols_set_.size() == slow_symbols_) {
// Got at least p.K + 10 different symbols
return;
}
size_t offset = slow_symbols_set_.size() * symbol_size_;
if (!slow_symbols_set_.insert(symbol.id).second) {
return;
}
auto slice = buffer_.as_slice().substr(offset, symbol_size_);
slice.copy_from(symbol.data);
symbols_.push_back({symbol.id, slice});
update_may_decode();
}
void Decoder::update_may_decode() {
size_t total_symbols = mask_size_ + slow_symbols_set_.size();
if (total_symbols < p_.K) {
return;
}
may_decode_ = true;
}
void Decoder::on_first_slow_path() {
slow_path_ = true;
slow_symbols_ = p_.K + 10 - mask_size_;
buffer_ = BufferSlice(slow_symbols_ * symbol_size_);
symbols_.reserve(p_.K + 10);
}
void Decoder::flush_symbols() {
if (flush_symbols_) {
return;
}
flush_symbols_ = true;
zero_symbol_ = std::string(symbol_size_, '\0');
for (uint32 i = p_.K; i < p_.K_padded; i++) {
symbols_.push_back({i, Slice(zero_symbol_)});
}
for (uint32 i = 0; i < p_.K; i++) {
if (mask_[i]) {
symbols_.push_back({i, data_.as_slice().substr(i * symbol_size_, symbol_size_)});
}
}
}
} // namespace raptorq
} // namespace td