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https://github.com/ClickHouse/ClickHouse.git
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486 lines
13 KiB
C++
486 lines
13 KiB
C++
#include "FST.h"
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#include <algorithm>
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#include <cassert>
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#include <memory>
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#include <vector>
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#include <Common/Exception.h>
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#include <city.h>
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/// "paper" in the comments in this file refers to:
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/// [Direct Construction of Minimal Acyclic Subsequential Transduers] by Stoyan Mihov and Denis Maurel, University of Tours, France
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namespace DB
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{
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namespace ErrorCodes
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{
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extern const int BAD_ARGUMENTS;
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};
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namespace FST
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{
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Arc::Arc(Output output_, const StatePtr & target_)
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: output(output_)
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, target(target_)
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{}
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UInt64 Arc::serialize(WriteBuffer & write_buffer) const
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{
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UInt64 written_bytes = 0;
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bool has_output = output != 0;
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/// First UInt64 is target_index << 1 + has_output
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assert(target != nullptr);
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UInt64 first = ((target->state_index) << 1) + has_output;
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writeVarUInt(first, write_buffer);
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written_bytes += getLengthOfVarUInt(first);
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/// Second UInt64 is output (optional based on whether has_output is not zero)
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if (has_output)
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{
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writeVarUInt(output, write_buffer);
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written_bytes += getLengthOfVarUInt(output);
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}
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return written_bytes;
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}
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bool operator==(const Arc & arc1, const Arc & arc2)
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{
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assert(arc1.target != nullptr && arc2.target != nullptr);
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return (arc1.output == arc2.output && arc1.target->id == arc2.target->id);
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}
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void LabelsAsBitmap::addLabel(char label)
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{
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UInt8 index = label;
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UInt256 bit_label = 1;
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bit_label <<= index;
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data |= bit_label;
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}
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bool LabelsAsBitmap::hasLabel(char label) const
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{
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UInt8 index = label;
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UInt256 bit_label = 1;
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bit_label <<= index;
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return ((data & bit_label) != 0);
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}
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UInt64 LabelsAsBitmap::getIndex(char label) const
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{
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UInt64 bit_count = 0;
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UInt8 index = label;
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int which_int64 = 0;
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while (true)
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{
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if (index < 64)
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{
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UInt64 mask = index == 63 ? (-1) : (1ULL << (index + 1)) - 1;
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bit_count += std::popcount(mask & data.items[which_int64]);
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break;
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}
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index -= 64;
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bit_count += std::popcount(data.items[which_int64]);
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which_int64++;
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}
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return bit_count;
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}
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UInt64 LabelsAsBitmap::serialize(WriteBuffer & write_buffer)
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{
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writeVarUInt(data.items[0], write_buffer);
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writeVarUInt(data.items[1], write_buffer);
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writeVarUInt(data.items[2], write_buffer);
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writeVarUInt(data.items[3], write_buffer);
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return getLengthOfVarUInt(data.items[0])
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+ getLengthOfVarUInt(data.items[1])
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+ getLengthOfVarUInt(data.items[2])
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+ getLengthOfVarUInt(data.items[3]);
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}
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UInt64 State::hash() const
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{
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std::vector<char> values;
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values.reserve(arcs.size() * (sizeof(Output) + sizeof(UInt64) + 1));
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for (const auto & [label, arc] : arcs)
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{
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values.push_back(label);
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const auto * ptr = reinterpret_cast<const char *>(&arc.output);
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std::copy(ptr, ptr + sizeof(Output), std::back_inserter(values));
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ptr = reinterpret_cast<const char *>(&arc.target->id);
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std::copy(ptr, ptr + sizeof(UInt64), std::back_inserter(values));
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}
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return CityHash_v1_0_2::CityHash64(values.data(), values.size());
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}
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Arc * State::getArc(char label) const
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{
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auto it = arcs.find(label);
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if (it == arcs.end())
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return nullptr;
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return const_cast<Arc *>(&it->second);
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}
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void State::addArc(char label, Output output, StatePtr target)
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{
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arcs[label] = Arc(output, target);
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}
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void State::clear()
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{
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id = 0;
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state_index = 0;
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arcs.clear();
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flag = 0;
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}
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UInt64 State::serialize(WriteBuffer & write_buffer)
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{
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UInt64 written_bytes = 0;
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/// Serialize flag
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write_buffer.write(flag);
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written_bytes += 1;
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if (getEncodingMethod() == EncodingMethod::Sequential)
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{
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/// Serialize all labels
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std::vector<char> labels;
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labels.reserve(arcs.size());
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for (auto & [label, state] : arcs)
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labels.push_back(label);
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UInt8 label_size = labels.size();
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write_buffer.write(label_size);
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written_bytes += 1;
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write_buffer.write(labels.data(), labels.size());
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written_bytes += labels.size();
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/// Serialize all arcs
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for (char label : labels)
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{
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Arc * arc = getArc(label);
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assert(arc != nullptr);
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written_bytes += arc->serialize(write_buffer);
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}
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}
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else
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{
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/// Serialize bitmap
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LabelsAsBitmap bmp;
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for (auto & [label, state] : arcs)
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bmp.addLabel(label);
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written_bytes += bmp.serialize(write_buffer);
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/// Serialize all arcs
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for (auto & [label, state] : arcs)
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{
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Arc * arc = getArc(label);
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assert(arc != nullptr);
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written_bytes += arc->serialize(write_buffer);
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}
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}
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return written_bytes;
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}
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bool operator==(const State & state1, const State & state2)
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{
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if (state1.arcs.size() != state2.arcs.size())
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return false;
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for (const auto & [label, arc] : state1.arcs)
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{
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const auto it = state2.arcs.find(label);
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if (it == state2.arcs.end())
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return false;
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if (it->second != arc)
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return false;
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}
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return true;
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}
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void State::readFlag(ReadBuffer & read_buffer)
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{
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read_buffer.readStrict(reinterpret_cast<char &>(flag));
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}
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FstBuilder::FstBuilder(WriteBuffer & write_buffer_) : write_buffer(write_buffer_)
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{
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for (auto & temp_state : temp_states)
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temp_state = std::make_shared<State>();
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}
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/// See FindMinimized in the paper pseudo code l11-l21.
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StatePtr FstBuilder::findMinimized(const State & state, bool & found)
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{
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found = false;
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auto hash = state.hash();
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/// MEMBER: in the paper pseudo code l15
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auto it = minimized_states.find(hash);
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if (it != minimized_states.end() && *it->second == state)
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{
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found = true;
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return it->second;
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}
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/// COPY_STATE: in the paper pseudo code l17
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StatePtr p = std::make_shared<State>(state);
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/// INSERT: in the paper pseudo code l18
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minimized_states[hash] = p;
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return p;
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}
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namespace
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{
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/// See the paper pseudo code l33-34.
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size_t getCommonPrefixLength(std::string_view word1, std::string_view word2)
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{
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size_t i = 0;
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while (i < word1.size() && i < word2.size() && word1[i] == word2[i])
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i++;
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return i;
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}
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}
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/// See the paper pseudo code l33-39 and l70-72(when down_to is 0).
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void FstBuilder::minimizePreviousWordSuffix(Int64 down_to)
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{
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for (Int64 i = static_cast<Int64>(previous_word.size()); i >= down_to; --i)
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{
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bool found = false;
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auto minimized_state = findMinimized(*temp_states[i], found);
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if (i != 0)
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{
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Output output = 0;
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Arc * arc = temp_states[i - 1]->getArc(previous_word[i - 1]);
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if (arc)
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output = arc->output;
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/// SET_TRANSITION
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temp_states[i - 1]->addArc(previous_word[i - 1], output, minimized_state);
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}
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if (minimized_state->id == 0)
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minimized_state->id = next_id++;
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if (i > 0 && temp_states[i - 1]->id == 0)
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temp_states[i - 1]->id = next_id++;
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if (!found)
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{
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minimized_state->state_index = previous_state_index;
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previous_written_bytes = minimized_state->serialize(write_buffer);
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previous_state_index += previous_written_bytes;
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}
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}
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}
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void FstBuilder::add(std::string_view current_word, Output current_output)
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{
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/// We assume word size is no greater than MAX_TERM_LENGTH(256).
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/// FSTs without word size limitation would be inefficient and easy to cause memory bloat
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/// Note that when using "split" tokenizer, if a granule has tokens which are longer than
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/// MAX_TERM_LENGTH, the granule cannot be dropped and will be fully-scanned. It doesn't affect "ngram" tokenizers.
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/// Another limitation is that if the query string has tokens which exceed this length
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/// it will fallback to default searching when using "split" tokenizers.
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size_t current_word_len = current_word.size();
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if (current_word_len > MAX_TERM_LENGTH)
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throw DB::Exception(DB::ErrorCodes::BAD_ARGUMENTS, "Cannot build inverted index: The maximum term length is {}, this is exceeded by term {}", MAX_TERM_LENGTH, current_word_len);
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size_t prefix_length_plus1 = getCommonPrefixLength(current_word, previous_word) + 1;
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minimizePreviousWordSuffix(prefix_length_plus1);
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/// Initialize the tail state, see paper pseudo code l39-43
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for (size_t i = prefix_length_plus1; i <= current_word.size(); ++i)
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{
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/// CLEAR_STATE: l41
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temp_states[i]->clear();
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/// SET_TRANSITION: l42
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temp_states[i - 1]->addArc(current_word[i - 1], 0, temp_states[i]);
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}
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/// We assume the current word is different with previous word
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/// See paper pseudo code l44-47
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temp_states[current_word_len]->setFinal(true);
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/// Adjust outputs on the arcs
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/// See paper pseudo code l48-63
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for (size_t i = 1; i <= prefix_length_plus1 - 1; ++i)
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{
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Arc * arc_ptr = temp_states[i - 1]->getArc(current_word[i - 1]);
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assert(arc_ptr != nullptr);
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Output common_prefix = std::min(arc_ptr->output, current_output);
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Output word_suffix = arc_ptr->output - common_prefix;
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arc_ptr->output = common_prefix;
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/// For each arc, adjust its output
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if (word_suffix != 0)
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{
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for (auto & [label, arc] : temp_states[i]->arcs)
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arc.output += word_suffix;
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}
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/// Reduce current_output
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current_output -= common_prefix;
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}
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/// Set last temp state's output
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/// paper pseudo code l66-67 (assuming CurrentWord != PreviousWorld)
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Arc * arc = temp_states[prefix_length_plus1 - 1]->getArc(current_word[prefix_length_plus1 - 1]);
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assert(arc != nullptr);
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arc->output = current_output;
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previous_word = current_word;
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}
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UInt64 FstBuilder::build()
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{
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minimizePreviousWordSuffix(0);
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/// Save initial state index
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previous_state_index -= previous_written_bytes;
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UInt8 length = getLengthOfVarUInt(previous_state_index);
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writeVarUInt(previous_state_index, write_buffer);
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write_buffer.write(length);
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return previous_state_index + previous_written_bytes + length + 1;
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}
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FiniteStateTransducer::FiniteStateTransducer(std::vector<UInt8> data_)
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: data(std::move(data_))
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{
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}
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void FiniteStateTransducer::clear()
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{
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data.clear();
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}
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std::pair<UInt64, bool> FiniteStateTransducer::getOutput(std::string_view term)
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{
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std::pair<UInt64, bool> result(0, false);
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/// Read index of initial state
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ReadBufferFromMemory read_buffer(data.data(), data.size());
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read_buffer.seek(data.size() - 1, SEEK_SET);
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UInt8 length = 0;
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read_buffer.readStrict(reinterpret_cast<char &>(length));
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/// FST contains no terms
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if (length == 0)
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return {0, false};
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read_buffer.seek(data.size() - 1 - length, SEEK_SET);
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UInt64 state_index = 0;
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readVarUInt(state_index, read_buffer);
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for (size_t i = 0; i <= term.size(); ++i)
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{
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UInt64 arc_output = 0;
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/// Read flag
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State temp_state;
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read_buffer.seek(state_index, SEEK_SET);
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temp_state.readFlag(read_buffer);
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if (i == term.size())
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{
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result.second = temp_state.isFinal();
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break;
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}
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UInt8 label = term[i];
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if (temp_state.getEncodingMethod() == State::EncodingMethod::Sequential)
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{
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/// Read number of labels
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UInt8 label_num = 0;
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read_buffer.readStrict(reinterpret_cast<char &>(label_num));
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if (label_num == 0)
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return {0, false};
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auto labels_position = read_buffer.getPosition();
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/// Find the index of the label from "labels" bytes
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auto begin_it = data.begin() + labels_position;
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auto end_it = data.begin() + labels_position + label_num;
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auto pos = std::find(begin_it, end_it, label);
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if (pos == end_it)
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return {0, false};
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/// Read the arc for the label
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UInt64 arc_index = (pos - begin_it);
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auto arcs_start_postion = labels_position + label_num;
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read_buffer.seek(arcs_start_postion, SEEK_SET);
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for (size_t j = 0; j <= arc_index; j++)
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{
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state_index = 0;
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arc_output = 0;
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readVarUInt(state_index, read_buffer);
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if (state_index & 0x1) // output is followed
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readVarUInt(arc_output, read_buffer);
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state_index >>= 1;
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}
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}
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else
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{
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LabelsAsBitmap bmp;
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readVarUInt(bmp.data.items[0], read_buffer);
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readVarUInt(bmp.data.items[1], read_buffer);
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readVarUInt(bmp.data.items[2], read_buffer);
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readVarUInt(bmp.data.items[3], read_buffer);
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if (!bmp.hasLabel(label))
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return {0, false};
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/// Read the arc for the label
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size_t arc_index = bmp.getIndex(label);
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for (size_t j = 0; j < arc_index; j++)
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{
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state_index = 0;
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arc_output = 0;
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readVarUInt(state_index, read_buffer);
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if (state_index & 0x1) // output is followed
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readVarUInt(arc_output, read_buffer);
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state_index >>= 1;
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}
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}
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/// Accumulate the output value
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result.first += arc_output;
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}
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return result;
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}
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}
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}
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