private static void removeMultipleHits(PriorityQueue<Result> results, int sampleLength) {
if (results.isEmpty()) return;
ArrayList<Result> acceptedResults = new ArrayList<Result>();
boolean isOccupied[] = new boolean[sampleLength];
while (!results.isEmpty()) {
Result r = results.poll();
int hitCount = 0;
int firstHitPosition = -1;
for (int i = 0; i < r.getLength(); i++) {
if (!isOccupied[r.getSampleStartPosition() + i]) {
if (hitCount == 0) {
firstHitPosition = r.getSampleStartPosition() + i;
}
hitCount++;
isOccupied[r.getSampleStartPosition() + i] = true;
} else if (hitCount != 0) {
break;
}
}
if (hitCount >= FRAME_COUNT_ACCEPTANCE_THRESHOLD) {
r.setSampleStartPosition(firstHitPosition);
r.setLength(hitCount);
acceptedResults.add(r);
}
}
results.addAll(acceptedResults);
}
// O(V) + O(V * V + E) = O(V^2 + E) = O(V^2) if queue is un-ordered linked list
// O(V * logV) + O(V * logV + E * logV) = O((V + E)logV)
public static final void dijkstra(DijkVertex[] vertices, DijkVertex src) {
// Initialize vertices prev and cost (intrinsically done already except for source)
src.cost = 0;
// Setup priority queue maintaining min cost vertices at the start of queue
PriorityQueue<DijkVertex> q =
new PriorityQueue<DijkVertex>(vertices.length, new DijkVertexComparator());
q.addAll(Arrays.asList(vertices));
// Go through queue removing min vertex each iteration
while (!q.isEmpty()) {
DijkVertex v = q.remove();
// If cost of next node is MAX, it is not connected to source
// Due to priority queue, all nodes after next node are also not connected to source
// so can just return
if (v.cost == Integer.MAX_VALUE) {
return;
}
// For each edge leaving vertex, relax
for (int i = 0; i < v.edges.length; i++) {
if (v.cost + v.edges[i].cost < v.edges[i].dst.cost) {
v.edges[i].dst.cost = v.cost + v.edges[i].cost;
v.edges[i].dst.prev = v;
// Remove and add updated vertex to queue to place it in correct location
// after being updated
q.remove(v.edges[i].dst);
q.add(v.edges[i].dst);
}
}
}
}
public void methodsOfPQ() {
PriorityQueue<Integer> pq = new PriorityQueue<Integer>(); // Default Constructor:
// Queue<Integer> pq = new PriorityQueue<Integer>();
pq.add(10);
pq.add(30);
pq.add(50);
pq.add(40);
pq.add(20);
System.out.println(pq); // [10, 20, 50, 40, 30]
pq.offer(75); // add element randomly anywhere
System.out.println(pq); // [10, 20, 50, 40, 30, 75]
System.out.println(pq.peek()); // 10 | return head of queue and don't touch pq
System.out.println(pq); // [10, 20, 50, 40, 30, 75]
System.out.println(pq.poll()); // 10 | return head and also removes head from pq
System.out.println(pq); // [20, 50, 40, 30, 75]
System.out.println(pq.element()); // 20 | same as peek but throw exception if pq is empty
System.out.println(pq); // [20, 50, 40, 30, 75]
pq.remove(); // 20 | same as poll but throw exception when queue is empty
System.out.println(pq); // [50, 40, 30, 75]
List<Integer> ls = new ArrayList<Integer>();
ls.add(1000);
ls.add(2000);
pq.addAll(ls);
System.out.println(pq); // [30, 40, 50, 75, 1000, 2000]
pq.removeAll(ls);
System.out.println(pq); // [30, 40, 50, 75]
ls.clear(); // empty ls
ls.add(101);
ls.add(102);
pq.addAll(ls);
pq.retainAll(ls); // all element will be removed except ls
System.out.println(pq); // [101, 102]
System.out.println(pq.containsAll(ls)); // true
System.out.println("********************************************");
// Queue<String> q=new PriorityQueue<String>();
}
public HW1() {
// initialize
Scanner in = new Scanner(System.in);
N = in.nextInt();
in.nextLine();
E = new PriorityQueue<Edge>(N * N, EdgeComparator);
open = new PriorityQueue<Edge>(N * N, EdgeComparator);
for (int u = 0; u < N; u++) {
for (int v = 0; v < u; v++) {
int weight = in.nextInt();
E.add(new Edge(v, u, weight));
}
in.nextLine();
}
in.close();
// find minimum spanning tree
int[] vDegs = new int[N];
int v = 0;
HashSet<Integer> usedV = new HashSet<Integer>(N * 2);
usedV.add(v);
while (usedV.size() < N) {
open.addAll(takeOutgoingEdges(E, v));
Edge newE = open.poll();
int u;
if (usedV.contains(newE.v1)) {
u = newE.v1;
v = newE.v2;
} else {
u = newE.v2;
v = newE.v1;
}
usedV.add(v);
vDegs[v]++;
vDegs[u]++;
takeOutgoingEdges(open, v);
}
// find maximal degree
int maxI = 0, maxD = 0;
for (int i = 0; i < N; i++) {
if (vDegs[i] > maxD) {
maxD = vDegs[i];
maxI = i;
}
}
// print
for (int i = 0; i < N; i++) {
int d = vDegs[i];
if (i != maxI) {
d -= 2;
}
System.out.print("" + d + " ");
}
}
/**
* Method to add a collection of elements.
*
* @param elements The collection of elements to add.
* @return Whether they were added successfully.
*/
public synchronized boolean addAll(java.util.Collection elements) {
boolean success = delegate.addAll(elements);
if (success) {
makeDirty();
if (ownerOP != null && !ownerOP.getExecutionContext().getTransaction().isActive()) {
ownerOP.getExecutionContext().processNontransactionalUpdate();
}
}
return success;
}
/**
* A* algorithm
*
* @param vehicle the considered vehicle
* @param available the available tasks of the world
* @param carried the tasks picked up and currently carried by the vehicle
* @return a plan (list of actions)
*/
public static Plan computeAStar(Vehicle vehicle, TaskSet available, TaskSet carried) {
Plan plan = null;
ArrayList<Task> availableTasks = new ArrayList<Task>(available);
ArrayList<Task> carriedTasks = new ArrayList<Task>(carried);
PriorityQueue<State> Q =
new PriorityQueue<State>(1, new StateComparator()); // States we will have to visit
ArrayList<State> C = new ArrayList<State>(); // States we have already visited, prevent cycles
City initialCity = vehicle.getCurrentCity();
State initialState =
new State(
initialCity, availableTasks, carriedTasks, new ArrayList<Action>(), vehicle, 0, 0);
Q.add(initialState);
boolean foundFinalState = false;
State finalState = null;
while (!foundFinalState) {
if (Q.isEmpty()) {
foundFinalState = true;
} else {
State visitingState = Q.poll();
if (visitingState.isFinal()) {
finalState = visitingState;
foundFinalState = true;
} else if (!C.contains(visitingState)
|| (C.contains(visitingState)
&& C.get(C.indexOf(visitingState)).heuristicValue > visitingState.heuristicValue)) {
C.add(visitingState);
Q.addAll(visitingState.next()); // Hopefully at the end of the list
}
}
}
if (finalState != null) {
plan = new Plan(vehicle.getCurrentCity(), finalState.actionList);
}
return plan;
}
/**
* Method to initialise the SCO from an existing value.
*
* @param c The object to set from
* @param forInsert Whether the object needs inserting in the datastore with this value
* @param forUpdate Whether to update the datastore with this value
*/
public void initialise(java.util.PriorityQueue c, boolean forInsert, boolean forUpdate) {
if (c != null) {
initialiseDelegate();
delegate.addAll(c);
} else {
initialiseDelegate();
}
if (NucleusLogger.PERSISTENCE.isDebugEnabled()) {
NucleusLogger.PERSISTENCE.debug(
Localiser.msg(
"023003",
ownerOP.getObjectAsPrintable(),
ownerMmd.getName(),
"" + size(),
SCOUtils.getSCOWrapperOptionsMessage(true, false, false, false)));
}
}
/**
* Use A star Search to solve the TSP problem
*
* @param question
* @return
* @throws Exception
*/
public static TSPSolution solve(TSPQuestion question) throws Exception {
TSPStatistics statistics = new TSPStatistics();
TSPNode initial = new TSPNode(question);
PriorityQueue<TSPNode> queue = new PriorityQueue<TSPNode>(600000, TSPNode.NodeComparator);
queue.add(initial);
statistics.addCounter(1);
TSPNode current = null;
while (true) {
current = queue.poll(); // get the node with the minimal f value
List<TSPNode> nodeList = current.getSuccessors();
statistics.addCounter(nodeList.size());
if (nodeList.isEmpty()) break;
else queue.addAll(nodeList);
}
statistics.timerStop();
return new TSPSolution(question, current.getVisitedCities(), current.getBackDist(), statistics);
}
/**
* Sorts the operators topologically, i.e. such that operator <var>i</var> in the returned
* ordering has dependencies (i.e. connected {@link InputPort}s) only from operators
* <var>0..i-1</var>.
*/
public Vector<Operator> topologicalSort() {
final Map<Operator, Integer> originalIndices = new HashMap<Operator, Integer>();
for (int i = 0; i < operators.size(); i++) {
originalIndices.put(operators.get(i), i);
}
EdgeCounter counter = new EdgeCounter(operators);
for (Operator child : getOperators()) {
for (OutputPort out : child.getOutputPorts().getAllPorts()) {
InputPort dest = out.getDestination();
if (dest != null) {
counter.incNumEdges(dest.getPorts().getOwner().getOperator());
}
}
}
Vector<Operator> sorted = new Vector<Operator>();
PriorityQueue<Operator> independentOperators =
new PriorityQueue<Operator>(
Math.max(1, operators.size()),
new Comparator<Operator>() {
@Override
public int compare(Operator o1, Operator o2) {
return originalIndices.get(o1) - originalIndices.get(o2);
}
});
independentOperators.addAll(counter.getIndependentOperators());
while (!independentOperators.isEmpty()) {
Operator first = independentOperators.poll();
sorted.add(first);
for (OutputPort out : first.getOutputPorts().getAllPorts()) {
InputPort dest = out.getDestination();
if (dest != null) {
Operator destOp = dest.getPorts().getOwner().getOperator();
if (counter.decNumEdges(destOp) == 0) {
// independentOperators.addFirst(destOp);
independentOperators.add(destOp);
}
}
}
}
return sorted;
}
public static void main(String[] args) {
PriorityQueue<Integer> priorityQueue = new PriorityQueue<Integer>();
Random rand = new Random(47);
for (int i = 0; i < 10; i++) {
priorityQueue.offer(rand.nextInt(i + 10));
}
QueueDemo.printQueue(priorityQueue);
List<Integer> ints = Arrays.asList(25, 22, 20, 18, 14, 9, 3, 1, 1, 2, 3, 9, 14, 18, 21, 23, 25);
priorityQueue = new PriorityQueue<Integer>(ints);
QueueDemo.printQueue(priorityQueue);
priorityQueue = new PriorityQueue<Integer>(ints.size(), Collections.reverseOrder());
priorityQueue.addAll(ints);
QueueDemo.printQueue(priorityQueue);
String fact = "EDUCATION SHOULD ESCHEW OBFUSCATION";
List<String> strings = Arrays.asList(fact.split(""));
PriorityQueue<String> stringPQ = new PriorityQueue<String>(strings);
QueueDemo.printQueue(stringPQ);
}
/** Implementace vlastniho algoritmu Astar */
public int computeBuckets() {
/* init */
int cesta = 0;
StavyKybliku aktualni = null;
StavyKybliku startovni = nalevna.getAktualniStav();
System.out.println("Startuji Astar algoritmus:");
System.out.println("- startovni stav: " + startovni.getAktualniObsahyString());
System.out.println("- cilovy stav: " + startovni.getCiloveObsahyString());
/* vlozime do fronty pocatecni uzel a odstartujeme prubeh */
prioritniFronta.add(startovni.clone());
nalevna.addOpenedStav(startovni.clone());
/* dokud neni fronta prazdna, tak prochazej uzly */
/* vyjmi prvni uzel ve fronte a expanduj */
while (!prioritniFronta.isEmpty()) {
// aktualni = fronta.pop();
aktualni = prioritniFronta.poll();
// System.out.println("Vyjimam z fronty " + aktualni.getAktualniObsahyString());
// System.out.print("Jeho rodice jsou: "); nalevna.vypisFrontuStavu(startovni.getParents());
// zjistime nasledniky pro zarazeni do fronty a vlozime
prioritniFronta.addAll(super.ziskejNoveStavy(aktualni));
cesta++;
// pokud je to hledany stav, tak return
if (aktualni.isCilovy()) {
System.out.println("Nasli jsme cilovy stav " + aktualni.getAktualniObsahyString());
nalevna.setAktualniStav(aktualni);
return cesta;
}
}
System.out.println("Nenasli jsme cilovy stav.");
return cesta;
}
public void solve() {
PriorityQueue<PuzzleBoard> queue =
new PriorityQueue<>(
1000,
new Comparator<PuzzleBoard>() {
@Override
public int compare(PuzzleBoard lhs, PuzzleBoard rhs) {
return lhs.priority() - rhs.priority();
}
});
PuzzleBoard currBoard = new PuzzleBoard(puzzleBoard);
currBoard.initializePreviousBoard();
queue.add(currBoard);
while (!queue.isEmpty()) {
currBoard = queue.poll();
if (currBoard.resolved()) {
ArrayList<PuzzleBoard> arrayList = new ArrayList();
while (currBoard.getPreviousBoard() != null) {
arrayList.add(currBoard);
currBoard = currBoard.getPreviousBoard();
}
Collections.reverse(arrayList);
animation = new ArrayList<>();
animation.addAll(arrayList);
invalidate();
break;
} else {
queue.addAll(currBoard.neighbours());
}
}
}
public Graph(String dataFile, String outputFile, float cutoff, boolean backwards)
throws FileNotFoundException {
this.cutoff = cutoff;
this.backwards = backwards;
this.writer = new PrintWriter(outputFile);
FileReader reader = new FileReader(dataFile);
Scanner scanner = new Scanner(reader);
numVertices = scanner.nextInt();
numEdges = scanner.nextInt();
vertices = new ArrayList<Vertex>();
priorityQueue = new PriorityQueue<Vertex>();
finishedVertices = new HashSet<Vertex>();
vertices.add(new Vertex(-1, -1, -1, -1, -1));
for (int i = 0; i < numVertices; i++) {
if (!backwards ? i == 0 : i == numVertices) {
vertices.add(new Vertex(i + 1, -1, 0, 0, 0));
} else {
vertices.add(new Vertex(i + 1, -1, 0, 0, Long.MAX_VALUE));
}
}
while (scanner.hasNextLine() && scanner.hasNextInt()) {
int sourceVertex = scanner.nextInt();
int destVertex = scanner.nextInt();
ArrayList<Integer> edgeWeight = new ArrayList<Integer>();
edgeWeight.add(scanner.nextInt());
edgeWeight.add(scanner.nextInt());
vertices.get(sourceVertex).adjacencies.put(destVertex, edgeWeight);
vertices.get(destVertex).adjacencies.put(sourceVertex, edgeWeight);
}
priorityQueue.addAll(vertices);
priorityQueue.remove();
}
private static PriorityQueue<Result> match(
MFCC mfcc, File sampleFilePath, String databaseFilePath)
throws FileNotFoundException, IOException, ClassNotFoundException {
System.err.println("Processing sample...");
Timer.greset();
// Song sample = (Song)ObjectIO.readObject("C:/Users/Ian/Google
// Drive/Music/TestcaseVideo/tc5.db");
// double sampleMfcc[][] = sample.getMfcc();
short[] sampleData = WaveIO.readWave(sampleFilePath);
double sampleMfcc[][] = mfcc.process(sampleData);
int sampleLength = sampleMfcc.length;
System.err.println("Sample processed. Matching...");
Timer.gtime();
ObjectInputStream ois = new ObjectInputStream(new FileInputStream(databaseFilePath));
PriorityQueue<Result> results = new PriorityQueue<Result>();
while (true) {
Song song;
try {
song = (Song) ois.readObject();
} catch (EOFException e) {
break;
}
// System.out.println(song);
// if(!song.getArtist().equals("Steve Jablonsky")) continue;
// else System.out.println("Steve Jablonsky");
PriorityQueue<Result> songResults = new PriorityQueue<Result>();
int songLength = song.getMfcc().length;
int i, j, k;
for (i = 0; i < songLength; i++) {
for (k = 0; k < sampleLength; k++) { // sampleOffset
double totalMfccScores = 0.0;
for (j = k; j < sampleLength && i + j < songLength; j++) {
double mfccSimilarity = Cosine.getDistance(song.getMfcc()[i + j], sampleMfcc[j]);
if (mfccSimilarity < MFCC_SIMILARITY_THRESHOLD) break;
totalMfccScores += mfccSimilarity;
}
int frameCount = j - k;
if (frameCount >= FRAME_COUNT_ACCEPTANCE_THRESHOLD
&& totalMfccScores / frameCount >= MFCC_ACCEPTANCE_THRESHOLD) {
songResults.add(
new Result(totalMfccScores / frameCount, i, k, frameCount, song.toString()));
}
}
}
// System.out.println("PRE: " + songResults.size());
flattenResults(songResults, songLength, sampleLength);
// System.out.println("POST: " + songResults.size());
results.addAll(songResults);
}
ois.close();
removeMultipleHits(results, sampleLength);
// System.out.println("Results count: " + results.size());
// int printCount = 0;
// while(!results.isEmpty() && printCount != 100) {
// System.err.println(results.poll());
// printCount++;
// }
for (Result i : results) System.err.println(i);
System.err.println();
// Reorder results by sample start time
PriorityQueue<Result> tempResults = new PriorityQueue<>(Result.SAMPLE_START_TIME_COMPARATOR);
tempResults.addAll(results);
results = tempResults;
System.err.println("Matching done.");
Timer.gtime();
return results;
}
public ResourceList(PriorityQueue<T> tmp) {
resources = new PriorityQueue<T>();
resources.addAll(tmp);
}
public void makeANewSet() {
passiveCache.addAll(activeCache);
activeCache.clear();
}
/**
* A convenience function for dumping all the elements of the received list into this class'
* instance.
*
* @param items The list to union.
*/
public void addResources(ResourceList<T> items) {
resources.addAll(items.getResourceQueue());
}
