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com.livae.util.search.astar.AstarTree Maven / Gradle / Ivy
package com.livae.util.search.astar;
import com.livae.util.ResourcesFactory;
import com.livae.util.tree.Btree;
import com.livae.util.tree.BtreeVisitor;
import java.util.HashSet;
import java.util.Vector;
public class AstarTree implements BtreeVisitor {
private static final int TIME_PRINT_STATS = 1000;
private static boolean PRINT_STATS = false;
private HashSet visitedStates;
private Btree[] openStateLists;
private Operation[] operations;
private Heuristic[] heuristics;
private State bestState;
private int bestHeuristic;
private long visitedStatesNumber;
private long generatedStates;
private long repeatedGeneratedStates;
private long timeHeuristic;
private long[] timeHeuristics;
private long[] generatedStatesOperator;
private long[] repeatedGeneratedStatesOperator;
private long timeOperator;
private long[] timeOperators;
private long timeToHash;
private long timeHashTable;
private long timeAddToTree;
private long startAlgorithmTime;
private long accumulatedTime;
private Vector offsprings;
private ResourcesFactory statesFactory;
public AstarTree(Operation[] operations, Heuristic heuristic,
ResourcesFactory statesFactory) {
this(operations, new Heuristic[]{heuristic}, statesFactory);
}
public AstarTree(Operation[] operations, Heuristic[] heuristics,
ResourcesFactory statesFactory) {
this.operations = operations;
this.heuristics = heuristics;
this.visitedStates = new HashSet<>();
//noinspection unchecked
this.openStateLists = new Btree[heuristics.length];
for (Btree stateList : this.openStateLists) {
stateList = new Btree<>();
}
this.timeHeuristics = new long[this.heuristics.length];
this.generatedStatesOperator = new long[this.operations.length];
this.repeatedGeneratedStatesOperator = new long[this.operations.length];
this.timeOperators = new long[this.operations.length];
this.offsprings = new Vector<>();
this.statesFactory = statesFactory;
}
public void visit(State state, int deep) {
this.statesFactory.releaseResource(state);
}
public void setPrintStatsMode(boolean printStats) {
PRINT_STATS = printStats;
}
public State start(int maximumVisitedStates, State initialState) {
return start(-1, maximumVisitedStates, initialState);
}
public State start(long time, State initialState) {
return start(time, -1, initialState);
}
public State continueAlgorithm(long time, int maximumVisitedStates) {
return start(time, maximumVisitedStates, null);
}
public State continueAlgorithm(int maximumVisitedStates) {
return start(-1, maximumVisitedStates, null);
}
public State continueAlgorithm(long time) {
return start(time, -1, null);
}
public State start(long time, int maximumVisitedStates, State initialState) {
long targetTime = System.currentTimeMillis() + time;
if (time <= 0) {
targetTime = Long.MAX_VALUE;
}
if (maximumVisitedStates <= 0) {
maximumVisitedStates = Integer.MAX_VALUE;
}
int currentVisitedStates = 0;
int heuristicsLength = this.heuristics.length;
int operatorsLength = this.operations.length;
int heuristicIndex;
int operatorIndex;
State current;
int i, j;
long t1;
long t2;
String hash;
boolean exists;
this.startAlgorithmTime = System.currentTimeMillis();
int[] heuristicsArray;
long timeNextPrint = System.currentTimeMillis() + TIME_PRINT_STATS;
State[] currentStates = null;
// initializing, cleaning structures.
if (initialState != null) {
visitedStates.clear();
// visit and clear the btree
openStateLists[0].visitInOrder(this);
for (Btree openStateList : openStateLists) {
openStateList.clear();
}
bestHeuristic = Integer.MAX_VALUE;
for (i = 0; i < heuristicsLength; i++) {
initialState.heuristic[i] = heuristics[i].calculateHeuristic(initialState);
}
for (Btree openStateList : openStateLists) {
openStateList.add(initialState);
}
visitedStatesNumber = 0;
generatedStates = 0;
repeatedGeneratedStates = 0;
for (i = 0; i < generatedStatesOperator.length; i++) {
generatedStatesOperator[i] = 0;
}
for (i = 0; i < repeatedGeneratedStatesOperator.length; i++) {
repeatedGeneratedStatesOperator[i] = 0;
}
timeHeuristic = 0;
for (i = 0; i < timeHeuristics.length; i++) {
timeHeuristics[i] = 0;
}
timeOperator = 0;
for (i = 0; i < timeOperators.length; i++) {
timeOperators[i] = 0;
}
timeToHash = 0;
timeHashTable = 0;
timeAddToTree = 0;
}
while (bestHeuristic > 0 && targetTime >= System.currentTimeMillis() &&
currentVisitedStates < maximumVisitedStates && !openStateLists[0].isEmpty()) {
for (i = 0; i < heuristicsLength; i++) {
currentStates[i] = openStateLists[i].getFirst();
}
// clean up same states
for (i = 0; i < heuristicsLength - 1; i++) {
if (currentStates[i] != null) {
for (j = i + 1; j < heuristicsLength; j++) {
if (currentStates[i] == currentStates[j]) {
currentStates[j] = null;
}
}
}
}
for (heuristicIndex = 0; heuristicIndex < currentStates.length; heuristicIndex++) {
current = currentStates[heuristicIndex];
if (current != null) {
currentVisitedStates++;
visitedStatesNumber++;
heuristicsArray = current.heuristic;
for (i = 0; i < heuristicsLength; i++) {
if (heuristicsArray[i] < bestHeuristic ||
(heuristicsArray[i] == bestHeuristic &&
current.cost < bestState.cost)) {
if (bestState != null) {
this.statesFactory.releaseResource(bestState);
}
bestState = current;
bestHeuristic = heuristicsArray[i];
}
}
for (operatorIndex = 0; operatorIndex < operatorsLength; operatorIndex++) {
t1 = System.nanoTime();
offsprings.clear();
operations[operatorIndex].apply(current, offsprings, statesFactory);
t2 = System.nanoTime();
timeOperator += t2 - t1;
timeOperators[operatorIndex] += t2 - t1;
for (i = 0; i < offsprings.size(); i++) {
State offspring = offsprings.get(i);
generatedStates++;
generatedStatesOperator[operatorIndex]++;
t1 = System.nanoTime();
hash = offspring.getHash();
t2 = System.nanoTime();
timeToHash += t2 - t1;
t1 = System.nanoTime();
exists = visitedStates.contains(hash);
t2 = System.nanoTime();
timeHashTable += t2 - t1;
if (exists) {
repeatedGeneratedStates++;
repeatedGeneratedStatesOperator[operatorIndex]++;
this.statesFactory.releaseResource(offspring);
} else {
t1 = System.nanoTime();
visitedStates.add(hash);
t2 = System.nanoTime();
timeHashTable += t2 - t1;
for (i = 0; i < heuristicsLength; i++) {
t1 = System.nanoTime();
offspring.heuristic[i] = heuristics[i]
.calculateHeuristic(offspring);
t2 = System.nanoTime();
timeHeuristic += t2 - t1;
timeHeuristics[i] += t2 - t1;
}
t1 = System.nanoTime();
for (Btree openStateList : openStateLists) {
openStateList.add(offspring);
}
t2 = System.nanoTime();
timeAddToTree += t2 - t1;
}
}
}
}
if (bestState != current) {
this.statesFactory.releaseResource(current);
}
}
if (PRINT_STATS && System.currentTimeMillis() > timeNextPrint) {
printStats();
timeNextPrint = System.currentTimeMillis() + TIME_PRINT_STATS;
}
}
if (PRINT_STATS) {
printStats();
}
this.accumulatedTime += System.currentTimeMillis() - this.startAlgorithmTime;
if (bestHeuristic == 0) {
return bestState;
} else {
return null;
}
}
public State getBestState() {
return this.bestState;
}
private void printStats() {
long timeExecuting =
System.currentTimeMillis() - this.startAlgorithmTime + this.accumulatedTime;
System.out.println("Time executing: " + timeExecuting + " ms");
System.out.println("Visited states: " + visitedStatesNumber);
double seconds = timeExecuting / 1000;
double statesPerSecond = visitedStatesNumber / seconds;
System.out.println("Visited states per second: " + statesPerSecond);
System.out.println("Generated states: " + generatedStates);
System.out.println("Generated states per second: " + (generatedStates / seconds));
System.out.println("Generated states repeated: " + repeatedGeneratedStates);
double collisions = repeatedGeneratedStates * 100.0 / generatedStates;
System.out.println("Collisions: " + collisions + " %");
System.out.println("Time operators: " + timeOperator + " ns");
double operatorsPerVisitedState = timeOperator * 1.0 / visitedStatesNumber;
System.out.println("Time operators per visited state: " + operatorsPerVisitedState + " ns");
for (int i = 0; i < timeOperators.length; i++) {
System.out.println("\t" + this.operations[i].getName() + ":");
System.out.println("\t\t time " + timeOperators[i]);
System.out.println("\t\t time per visit " +
(timeOperators[i] * 1.0 / visitedStatesNumber));
System.out.println("\t\t generated states (per visit): " +
this.generatedStatesOperator[i] + " (" +
(this.generatedStatesOperator[i] * 1.0 / visitedStatesNumber) + ")");
System.out.println("\t\t repeated generated states (per visit): " +
this.repeatedGeneratedStatesOperator[i] + " (" +
(this.repeatedGeneratedStatesOperator[i] * 1.0 /
visitedStatesNumber) + ")");
System.out.println("\t\t collisions: " +
this.repeatedGeneratedStatesOperator[i] * 100.0 /
this.generatedStatesOperator[i]);
}
System.out.println("Time generating hash: " + timeToHash);
double timeHashPerState = timeToHash * 1.0 / generatedStates;
System.out.println("Time generating hash per state: " + timeHashPerState + " ns");
System.out.println("Time hashtable: " + timeHashTable + " ns");
System.out.println("Size hashtable: " + this.visitedStates.size());
System.out.println("Time heuristic: " + timeHeuristic + " ns");
double heuristicPerGenerateState = timeHeuristic * 1.0 / generatedStates;
System.out.println("Time heuristic per generatedState state: " +
heuristicPerGenerateState + " ns");
for (int i = 0; i < timeHeuristics.length; i++) {
System.out.println("\t" + this.heuristics[i].getName() + ": ");
System.out.println("\t\t time " + timeHeuristics[i]);
System.out.println("\t\t time por generatedState " +
(timeHeuristics[i] * 1.0 / generatedStates));
}
System.out.println("Time adding to tree: " + timeAddToTree + " ns");
long treeSize = generatedStates - (visitedStatesNumber + repeatedGeneratedStates);
long realTreeSize = this.openStateLists[0].getSize();
System.out.println("Approximate tree size: " + treeSize);
System.out.println("Tree size: " + realTreeSize);
double ratioList = timeAddToTree * 1.0 / treeSize;
System.out.println("Ratio Time / Tree Size: " + ratioList);
System.out.println("-----------------------------------------------------");
}
}
