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