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TrainSpeedTable: new class for speed matching
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/** | ||
* server/src/train/trainspeedtable.cpp | ||
* | ||
* This file is part of the traintastic source code. | ||
* | ||
* Copyright (C) 2024 Filippo Gentile | ||
* | ||
* This program is free software; you can redistribute it and/or | ||
* modify it under the terms of the GNU General Public License | ||
* as published by the Free Software Foundation; either version 2 | ||
* of the License, or (at your option) any later version. | ||
* | ||
* This program 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 General Public License for more details. | ||
* | ||
* You should have received a copy of the GNU General Public License | ||
* along with this program; if not, write to the Free Software | ||
* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. | ||
*/ | ||
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#include "trainspeedtable.hpp" | ||
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#include "../vehicle/rail/vehiclespeedcurve.hpp" | ||
#include "../utils/almostzero.hpp" | ||
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#include <cstring> // for std::memcpy() | ||
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TrainSpeedTable::Entry TrainSpeedTable::nullEntry = TrainSpeedTable::Entry(); | ||
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TrainSpeedTable::TrainSpeedTable() | ||
{ | ||
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} | ||
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TrainSpeedTable::ClosestMatchRet TrainSpeedTable::getClosestMatch(uint32_t locoIdx, uint8_t step) const | ||
{ | ||
if(step == 0) | ||
{ | ||
return {nullEntry, NULL_TABLE_ENTRY}; | ||
} | ||
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if(locoIdx >= locoCount) | ||
return {nullEntry, NULL_TABLE_ENTRY}; // Error | ||
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for(uint8_t i = 0; i < mEntries.size(); i++) | ||
{ | ||
const Entry &entry = mEntries.at(i); | ||
const uint8_t candidateStep = entry.getStepForLoco(locoIdx); | ||
if(candidateStep == step) | ||
return {entry, i + 1}; // Exact match, Shift by +1 | ||
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if(candidateStep > step) | ||
{ | ||
// We got closest higher step | ||
// Check if lower step is even closer | ||
if(i > 0) | ||
{ | ||
const Entry &prev = mEntries.at(i - 1); | ||
if((step - prev.getStepForLoco(locoIdx)) < (candidateStep - step)) | ||
{ | ||
// Previous match is closer | ||
return {prev, i}; // Shift by +1 | ||
} | ||
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// Higher match is closer | ||
return {entry, i + 1}; // Shift by +1 | ||
} | ||
} | ||
} | ||
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// Return highest match if available | ||
if(!mEntries.empty()) | ||
return {*mEntries.rbegin(), mEntries.size()}; | ||
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return {nullEntry, NULL_TABLE_ENTRY}; // Empty table | ||
} | ||
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TrainSpeedTable::ClosestMatchRet TrainSpeedTable::getClosestMatch(double speed) const | ||
{ | ||
for(uint8_t i = 0; i < mEntries.size(); i++) | ||
{ | ||
const Entry& entry = mEntries.at(i); | ||
if(almostZero(entry.avgSpeed - speed)) | ||
return {entry, i + 1}; // Shift by +1 | ||
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if(entry.avgSpeed > speed) | ||
{ | ||
// Return previous entry | ||
if(i > 0) | ||
{ | ||
// This would be "i - 1 + 1 = i", (Shift by +1) | ||
return {mEntries.at(i - 1), i}; | ||
} | ||
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// No matches below this, return zero | ||
return {nullEntry, NULL_TABLE_ENTRY}; | ||
} | ||
} | ||
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// Return highest match if available | ||
if(!mEntries.empty()) | ||
return {*mEntries.rbegin(), mEntries.size()}; | ||
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return {nullEntry, NULL_TABLE_ENTRY}; // Empty table | ||
} | ||
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const TrainSpeedTable::Entry& TrainSpeedTable::getEntryAt(uint8_t idx) const | ||
{ | ||
// NULL_TABLE_ENTRY returns null Entry as expected! | ||
if(idx == NULL_TABLE_ENTRY) | ||
return nullEntry; | ||
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// Null entry is not stored, shift by -1 | ||
return mEntries.at(idx - 1); | ||
} | ||
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TrainSpeedTable TrainSpeedTable::buildTable(const std::vector<VehicleSpeedCurve> &locoMappings) | ||
{ | ||
// TODO: prefer pushing/pulling | ||
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TrainSpeedTable table; | ||
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const uint32_t NUM_LOCOS = locoMappings.size(); | ||
const uint32_t LAST_LOCO = NUM_LOCOS - 1; | ||
table.locoCount = NUM_LOCOS; | ||
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if(NUM_LOCOS < 2) | ||
return table; // Error? | ||
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double maxTrainSpeed = locoMappings.at(0).getSpeedForStep(126); | ||
for(uint32_t locoIdx = 1; locoIdx < NUM_LOCOS; locoIdx++) | ||
{ | ||
double maxSpeed = locoMappings.at(locoIdx).getSpeedForStep(126); | ||
if(maxSpeed < maxTrainSpeed) | ||
maxTrainSpeed = maxSpeed; | ||
} | ||
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struct LocoStepCache | ||
{ | ||
uint8_t currentStep = 0; | ||
uint8_t minAcceptedStep = 0; | ||
uint8_t maxAcceptedStep = 0; | ||
double minSpeedSoFar = 0; | ||
double maxSpeedSoFar = 0; | ||
double currentSpeed = 0; | ||
}; | ||
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constexpr double MAX_SPEED_DIFF = 0.005; | ||
maxTrainSpeed += MAX_SPEED_DIFF; | ||
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std::vector<LocoStepCache> stepCache; | ||
stepCache.resize(NUM_LOCOS, LocoStepCache()); | ||
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// These 2 vector are in sync. | ||
// Diff vector will be discarded in the end | ||
// Only entries are stored in the final table | ||
std::vector<Entry>& entries = table.mEntries; | ||
std::vector<double> diffVector; | ||
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entries.reserve(200); | ||
diffVector.reserve(200); | ||
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uint8_t firstLocoMaxStep = locoMappings.at(0).stepLowerBound(maxTrainSpeed); | ||
if(firstLocoMaxStep == 0) | ||
firstLocoMaxStep = 126; | ||
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uint32_t currentLocoIdx = 0; | ||
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bool beginNewRound = true; | ||
bool canCompareToLastInserted = false; | ||
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while(stepCache[0].currentStep <= firstLocoMaxStep) | ||
{ | ||
const VehicleSpeedCurve& mapping = locoMappings.at(currentLocoIdx); | ||
LocoStepCache& item = stepCache[currentLocoIdx]; | ||
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if(currentLocoIdx == 0) | ||
{ | ||
item.currentStep++; | ||
item.currentSpeed = mapping.getSpeedForStep(item.currentStep); | ||
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const double minAcceptedSpeed = item.currentSpeed - MAX_SPEED_DIFF; | ||
const double maxAcceptedSpeed = item.currentSpeed + MAX_SPEED_DIFF; | ||
item.minSpeedSoFar = item.maxSpeedSoFar = item.currentSpeed; | ||
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for(uint32_t otherLocoIdx = 1; otherLocoIdx < locoMappings.size(); otherLocoIdx++) | ||
{ | ||
const VehicleSpeedCurve& otherMapping = locoMappings.at(otherLocoIdx); | ||
LocoStepCache& otherItem = stepCache[otherLocoIdx]; | ||
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otherItem.minAcceptedStep = otherMapping.stepLowerBound(minAcceptedSpeed); | ||
otherItem.maxAcceptedStep = otherMapping.stepUpperBound(maxAcceptedSpeed); | ||
if(otherItem.minAcceptedStep == 0) | ||
otherItem.minAcceptedStep = 126; | ||
if(otherItem.maxAcceptedStep == 0) | ||
otherItem.maxAcceptedStep = 126; | ||
} | ||
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// Go to next loco | ||
currentLocoIdx++; | ||
beginNewRound = true; | ||
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// First locomotive step changed, so we do not compare | ||
// new entries with old ones. We leave duplication removal for later | ||
canCompareToLastInserted = false; // First loco step changed | ||
continue; | ||
} | ||
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const LocoStepCache& prevItem = stepCache.at(currentLocoIdx - 1); | ||
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if(beginNewRound) | ||
{ | ||
item.currentStep = item.minAcceptedStep; | ||
beginNewRound = false; | ||
} | ||
else | ||
{ | ||
item.currentStep++; | ||
} | ||
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if(item.currentStep > item.maxAcceptedStep) | ||
{ | ||
// Go up to previous loco | ||
currentLocoIdx--; | ||
continue; | ||
} | ||
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item.minSpeedSoFar = prevItem.minSpeedSoFar; | ||
item.maxSpeedSoFar = prevItem.maxSpeedSoFar; | ||
item.currentSpeed = mapping.getSpeedForStep(item.currentStep); | ||
if(item.currentSpeed < item.minSpeedSoFar) | ||
item.minSpeedSoFar = item.currentSpeed; | ||
if(item.currentSpeed > item.maxSpeedSoFar) | ||
item.maxSpeedSoFar = item.currentSpeed; | ||
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const double maxDiff = (item.maxSpeedSoFar - item.minSpeedSoFar); | ||
if(maxDiff > MAX_SPEED_DIFF) | ||
{ | ||
// Go to next step | ||
continue; | ||
} | ||
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if(currentLocoIdx < LAST_LOCO) | ||
{ | ||
// Go to next loco | ||
currentLocoIdx++; | ||
beginNewRound = true; | ||
continue; | ||
} | ||
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// We are last loco, save speed tuple | ||
Entry entry; | ||
entry.stepForLoco_.reset(new uint8_t[NUM_LOCOS]); | ||
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double speedSum = 0; | ||
for(uint32_t locoIdx = 0; locoIdx < NUM_LOCOS; locoIdx++) | ||
{ | ||
const LocoStepCache& otherItem = stepCache.at(locoIdx); | ||
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entry.stepForLoco_[locoIdx] = otherItem.currentStep; | ||
speedSum += otherItem.currentSpeed; | ||
} | ||
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entry.avgSpeed = speedSum / double(NUM_LOCOS); | ||
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if(canCompareToLastInserted) | ||
{ | ||
if(*diffVector.rbegin() > maxDiff) | ||
{ | ||
// We are better than previous match, replace it | ||
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std::memcpy(entries.rbegin()->stepForLoco_.get(), | ||
entry.stepForLoco_.get(), | ||
NUM_LOCOS * sizeof(uint8_t)); | ||
entries.rbegin()->avgSpeed = entry.avgSpeed; | ||
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*diffVector.rbegin() = maxDiff; | ||
} | ||
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// If not better than previous, no point in addint it | ||
continue; | ||
} | ||
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// First good match of new step combination | ||
entries.push_back(std::move(entry)); | ||
diffVector.push_back(maxDiff); | ||
canCompareToLastInserted = true; | ||
} | ||
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if(entries.empty()) | ||
return table; // Error? | ||
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// Remove duplicated steps, keep match with lower maxDiff | ||
for(uint32_t locoIdx = 0; locoIdx < NUM_LOCOS; locoIdx++) | ||
{ | ||
const Entry& firstEntry = entries.at(0); | ||
double bestEntryDiff = diffVector.at(0); | ||
uint32_t bestEntryIdx = 0; | ||
uint32_t firstTableIdx = 0; | ||
uint32_t currentStep = firstEntry.stepForLoco_[locoIdx]; | ||
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for(uint32_t tableIdx = 1; tableIdx < entries.size(); tableIdx++) | ||
{ | ||
uint8_t step = entries.at(tableIdx).stepForLoco_[locoIdx]; | ||
if(step == currentStep) | ||
{ | ||
const double maxDiff = diffVector.at(tableIdx); | ||
if(maxDiff < bestEntryDiff) | ||
{ | ||
bestEntryIdx = tableIdx; | ||
bestEntryDiff = maxDiff; | ||
} | ||
continue; | ||
} | ||
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// We reached next step | ||
// Cut all previous step entries, keep only best | ||
if(firstTableIdx < bestEntryIdx) | ||
{ | ||
// Best entry is not erased | ||
entries.erase(entries.begin() + firstTableIdx, | ||
entries.begin() + bestEntryIdx); | ||
diffVector.erase(diffVector.begin() + firstTableIdx, | ||
diffVector.begin() + bestEntryIdx); | ||
} | ||
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// Shift all indexes | ||
uint32_t idxShift = bestEntryIdx - firstTableIdx; | ||
bestEntryIdx = firstTableIdx; | ||
tableIdx -= idxShift; | ||
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// Remove all after best entry up to last of this step | ||
uint32_t firstToErase = bestEntryIdx + 1; | ||
if(firstToErase < tableIdx) | ||
{ | ||
// Best entry is not erased | ||
entries.erase(entries.begin() + firstToErase, | ||
entries.begin() + tableIdx); | ||
diffVector.erase(diffVector.begin() + firstToErase, | ||
diffVector.begin() + tableIdx); | ||
} | ||
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// Now best entry is at first index, we are just after it | ||
tableIdx = bestEntryIdx + 1; | ||
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// Re-init | ||
firstTableIdx = tableIdx; | ||
bestEntryIdx = firstTableIdx; | ||
currentStep = step; | ||
bestEntryDiff = diffVector.at(tableIdx); | ||
} | ||
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if(firstTableIdx < (entries.size() - 1)) | ||
{ | ||
// Cut all last step entries, keep only best | ||
if(firstTableIdx < bestEntryIdx) | ||
{ | ||
// Best entry is not erased | ||
entries.erase(entries.begin() + firstTableIdx, | ||
entries.begin() + bestEntryIdx); | ||
diffVector.erase(diffVector.begin() + firstTableIdx, | ||
diffVector.begin() + bestEntryIdx); | ||
} | ||
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// Shift all indexes | ||
bestEntryIdx = firstTableIdx; | ||
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// Remove all after best entry | ||
uint32_t firstToErase = bestEntryIdx + 1; | ||
entries.erase(entries.begin() + firstToErase, | ||
entries.end()); | ||
diffVector.erase(diffVector.begin() + firstToErase, | ||
diffVector.end()); | ||
} | ||
} | ||
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// Save up some memory | ||
table.mEntries.shrink_to_fit(); | ||
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// Now table is guaranteed to have at most 126 entries | ||
// An thus can be indexed with uint8_t | ||
return table; | ||
} |
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