static void test00() {
Aron.beg();
PriorityQueue<Interval> queue = new PriorityQueue<Interval>();
Stack<Interval> stack = new Stack<Interval>();
int[] arr1 = {4, 1, 2, 6, 9};
int[] arr2 = {5, 1, 4, 9, 10};
for (int i = 0; i < arr1.length; i++) {
queue.add(new Interval(arr1[i], arr2[i]));
}
if (queue.size() > 0) {
stack.push(queue.remove());
}
while (!queue.isEmpty()) {
Interval top = stack.peek();
Interval inter = queue.remove();
if (top.end < inter.begin) stack.push(inter);
else {
stack.peek().end = Math.max(stack.peek().end, inter.end);
}
}
while (!stack.empty()) {
System.out.println("[" + stack.peek().begin + " " + stack.peek().end + "]");
stack.pop();
}
Aron.end();
}
public void reduce(
Text key, Iterator<Text> values, OutputCollector<Text, Text> output, Reporter reporter)
throws IOException {
while (values.hasNext()) {
String line = values.next().toString();
String[] tokens = line.split(",");
try {
double latitude = (Double.parseDouble(tokens[2]));
double longitude = (Double.parseDouble(tokens[3]));
Tuple t = new Tuple(longitude, latitude, line);
t.setDistance(fp);
if (queue.size() < k) {
queue.add(t);
} else {
if (t.distance < queue.peek().distance) {
queue.add(t);
queue.remove();
}
}
} catch (Exception c) {
}
}
while (!queue.isEmpty()) {
output.collect(new Text("1"), new Text(queue.remove().tupleData));
}
}
public void run() {
synchronized (this) {
ConnectionState connState;
while (!Thread.interrupted()) {
try {
while (mRetryQueue.isEmpty()) wait();
connState = mRetryQueue.peek();
if (!connState.connected) {
synchronized (connState) {
long diffTime = connState.nextRetry - System.currentTimeMillis();
if (diffTime <= 0) {
mRetryQueue.remove(connState);
/**
* if (!mQuietMode) log.info("Attempting to re-establish " "connection to " +
* connState.serviceName + " at " + connState.addr);
*/
SendConnectRequest(connState);
} else {
wait(diffTime);
}
}
} else mRetryQueue.remove(connState);
} catch (InterruptedException e) {
e.printStackTrace();
}
}
}
}
// 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 static void main(String[] args) {
BufferedReader br = new BufferedReader(new InputStreamReader(System.in));
try {
N = Integer.parseInt(br.readLine());
P = new int[N][N];
RP = new boolean[N][N];
D = new double[N];
nodes = new HNode[N];
Fix = new boolean[N];
String[] chunks;
for (int i = 0; i < N; i++) {
chunks = br.readLine().split(" ");
for (int j = 0; j < N; j++) {
P[i][j] = Integer.parseInt(chunks[j]);
if (P[i][j] > 0 && i != j) RP[j][i] = true;
}
}
if (N == 1) {
System.out.println(0);
return;
}
for (int i = 0; i < N - 1; i++) {
if (RP[N - 1][i]) {
D[i] = (double) 100 / (double) P[i][N - 1];
nodes[i] = new HNode(D[i], i, 1, (1.0 - (double) P[i][N - 1] / (double) 100));
heap.add(nodes[i]);
} else {
D[i] = Double.MAX_VALUE;
nodes[i] = new HNode(D[i], i, 1, 1);
}
}
HNode minHeap;
while (!heap.isEmpty()) {
minHeap = heap.remove();
if (minHeap.id == 0) {
System.out.println(minHeap.dis);
break;
}
Fix[minHeap.id] = true;
for (int j = 0; j < N - 1; j++) {
if (RP[minHeap.id][j] && !Fix[j]) { // j is the parent of min heap
double p = (double) P[j][minHeap.id] / (double) 100;
nodes[j].a = nodes[j].a + nodes[j].b * p * minHeap.dis;
nodes[j].b = nodes[j].b * (1 - p);
double newDis = nodes[j].a / (1 - nodes[j].b);
heap.remove(nodes[j]);
nodes[j].dis = newDis;
heap.add(nodes[j]);
}
}
}
} catch (IOException ioe) {
ioe.printStackTrace();
}
}
@SuppressWarnings("unchecked")
@Override
public boolean remove(Object arg0) {
try {
return queue.remove(arg0) && decrement(((Wrapped) arg0).getWrapped());
} catch (ClassCastException e) {
}
try {
T arg = (T) arg0;
return queue.remove(new Wrapped(arg)) && decrement(arg);
} catch (ClassCastException e) {
}
return false;
}
private int getMyTarget(int[] shotAt) {
/*PriorityTuple firstTuple=priorityList.remove();
if(shotAt[firstTuple.getPlayerId()]>0)
return firstTuple.getPlayerId();
PriorityTuple nextTuple;
if(priorityList.size()!=0)
nextTuple=priorityList.remove();
while(nextTuple.getPriority()==firstTuple.getPriority())
{
if(shotAt[firstTuple.getPlayerId()]<shotAt[nextTuple.getPlayerId()])
return nextTuple.getPlayerId();
if(priorityList.size()!=0)
nextTuple=priorityList.remove();
else
break;
}
return firstTuple.getPlayerId();*/
return priorityList.remove().getPlayerId();
}
@Override
public T remove() {
pruneToDuration();
T item = queue.remove().getWrapped();
decrement(item);
return item;
}
private boolean add(TimeWrapped arg0) {
pruneToDuration();
if (arg0.getWrapped() == null) return false;
if (queue.size() >= capacity) {
try {
((CapacityOverflowHandler<T>) continuation)
.handleCapacityOverflow(queue.remove().getWrapped());
} catch (NullPointerException e) {
queue.remove();
} catch (ClassCastException e) {
queue.remove();
}
}
increment(arg0.getWrapped());
return queue.add(arg0);
}
/**
* moves / increments turn based off of players priority queue
*
* @throws IOException exception
*/
private static void movePhaseTurnIncre() throws IOException {
if (playerOrder.isEmpty()) {
for (Player p : Configurations.getPlayers()) {
playerOrder.add(p);
}
Configurations.setRound(Configurations.getRound() + 1);
if (Configurations.getPhase() == 1) {
produce();
}
}
Configurations.setCurPlayer(playerOrder.remove());
if (Configurations.getPhase() != 0) {
if (Math.random() < .27) {
Configurations.getCurPlayer().setMessage(applyRandomEvent());
Configurations.getGameScreenController()
.updateText(Configurations.getCurPlayer().getMessage());
} else {
Configurations.getCurPlayer().setMessage("");
Configurations.getGameScreenController()
.updateText(Configurations.getCurPlayer().getMessage());
}
} else {
Configurations.getGameScreenController().updateText();
}
}
private void Loop() {
while (!H.isEmpty()) {
Cell v = H.poll();
if (Log.ON) Log.write("popped: " + potentialField[v.col][v.row]);
frozenDjogurt[v.col][v.row] = true;
for (Cell vn : map.doSomeMagic(v)) {
if (Log.ON) {
Log.write("\n" + toString(v));
Log.write("\n" + printStack());
}
if (!(map.cells[vn.col][vn.row].type == CellType.OBSTACLE)) {
if (!frozenDjogurt[vn.col][vn.row]) {
double d = computeArrivalTime(vn);
if (d > maxElement) maxElement = d;
if (!H.contains(vn)) {
potentialField[vn.col][vn.row] = d;
H.add(vn);
} else {
// if(potentialField[vn.col][vn.row] > d)
// {
H.remove(vn);
potentialField[vn.col][vn.row] = d;
H.add(vn);
// }
}
}
}
}
}
}
public static void main(String[] args) throws IOException {
int n = readInt();
int[] dogs = new int[n];
ArrayList<ArrayList<Integer>> adjlist = new ArrayList<ArrayList<Integer>>();
for (int x = 0; x < n; x++) {
dogs[x] = readInt();
adjlist.add(new ArrayList<Integer>());
}
int m = readInt();
for (int x = 0; x < m; x++) {
int a = readInt() - 1;
int b = readInt() - 1;
adjlist.get(a).add(b);
}
int time = readInt();
int[] bark = new int[n];
PriorityQueue<Dog> moves = new PriorityQueue<Dog>();
moves.add(new Dog(0, 0));
bark[0] = 0;
int[] total = new int[n];
while (!moves.isEmpty()) {
Dog curr = moves.poll();
if (curr.time > time) continue;
bark[curr.id] = 0;
total[curr.id]++;
for (int x = 0; x < adjlist.get(curr.id).size(); x++) {
int next = adjlist.get(curr.id).get(x);
if ((bark[next] != 0 && curr.time + dogs[next] > bark[next])) continue;
moves.remove(new Dog(next, curr.time + dogs[next]));
bark[next] = curr.time + dogs[next];
moves.offer(new Dog(next, curr.time + dogs[next]));
}
}
for (int x : total) System.out.println(x);
}
// Busqueda usando A*
public static int search() {
HashSet<State> v = new HashSet<>();
Giros mano = new Giros();
ArrayList<int[][]>aux;
finall = inicial.createGoalState();
Q.add(inicial);
Node actual;
int cont = 0;
while ( !(actual = Q.remove()).estado.equals(finall.estado) ) {
if(v.contains(actual.estado))
continue;
System.out.println(actual.estado+" "+actual.costo_hasta_aqui+" "+actual.costo_total);
System.out.println("->\n"+((NodeCubo)actual).getValue() );
v.add(actual.estado);
int ca = actual.costo_hasta_aqui + 1;
//Realiza Movimientos
for( int i=0; i<12; i++ ){
aux = mano.girar( ((Cubo)actual.getValue()).getCubo(), i);
Node nuevo = new NodeCubo(ca, ca+Heuristica.h1((Cubo)actual.getValue()), new Cubo( aux, ((Cubo)inicial.getValue()).getColors() ) );
Q.add( (Node)nuevo );
}
cont++;
}
return cont;
}
public static List<Star> findClosestKStars(int k, ObjectInputStream osin) {
// maxHeap to store the closest k stars seen so far.
PriorityQueue<Star> maxHeap = new PriorityQueue<>(k, Collections.reverseOrder());
try {
while (true) {
// Add each star to the max-heap. If the max-heap size exceeds k,
// remove the maximum element from the max-heap.
Star star = (Star) osin.readObject();
maxHeap.add(star);
if (maxHeap.size() == k + 1) {
maxHeap.remove();
}
}
} catch (IOException e) {
// Do nothing, read last element in stream.
} catch (ClassNotFoundException e) {
System.out.println("ClassNotFoundException: " + e.getMessage());
}
// We cannot go directly to an ArrayList from PriorityQueue, since
// unlike LinkedList, it does not guarantee ordering of entries.
List<Star> orderedStars = new ArrayList<Star>(maxHeap);
// We need to reverse the orderedStars list since it goes from
// largest to smallest because the PriorityQueue used the
// Collections.reverse() comparator.
Collections.reverse(orderedStars);
return orderedStars;
}
/** Implementation of dijkstra's algorithm using a binary heap. */
private void dijkstra(final PriorityQueue<Vertex> q) {
Vertex u, v;
while (!q.isEmpty()) {
u = q.poll(); // vertex with shortest distance (first iteration
// will return source)
// System.out.println("id is"+u.getId());
// System.out.println(u.getDist());
// System.out.println(u.getNeighborV().size());
// System.out.println(this.endNodeId)
if (u.getDist() == Double.MAX_VALUE)
break; // we can ignore u (and any other remaining vertices)
// since they are unreachable
// look at distances to each neighbor
for (Map.Entry<Vertex, Double> a : u.getNeighborV().entrySet()) {
v = a.getKey(); // the neighbor in this iteration
double alternateDist = u.getDist() + a.getValue();
if (alternateDist < v.getDist()) { // shorter path to neighbor
// found
// System.out.println("+++++");
q.remove(v);
v.setDist(alternateDist);
// System.out.println(v.getId());
// System.out.println(v.getDist());
v.setPrevious(u);
q.add(v);
// System.out.println(q.size());
}
}
}
}
public int[] maxSlidingWindow(int[] nums, int k) {
if (nums.length == 0 || k == 0) {
return new int[] {};
}
int[] result = new int[nums.length - k + 1];
PriorityQueue<Integer> priorityQueue =
new PriorityQueue<Integer>(
k,
new Comparator<Integer>() {
@Override
public int compare(Integer o1, Integer o2) {
if (o1 < o2) {
return 1;
} else if (o1 > o2) {
return -1;
} else {
return 0;
}
}
});
Deque<Integer> deque = new LinkedList<Integer>();
for (int i = 0; i < k; i++) {
deque.addLast(nums[i]);
priorityQueue.add(nums[i]);
}
for (int i = k; i < nums.length; i++) {
result[i - k] = priorityQueue.peek();
int first = deque.removeFirst();
priorityQueue.remove(first);
deque.addLast(nums[i]);
priorityQueue.add(nums[i]);
}
result[result.length - 1] = priorityQueue.peek();
return result;
}
/**
* gives turns for buying to players
*
* @throws IOException exception
*/
private static void buyTurnIncre() throws IOException {
if (playerOrder.isEmpty()) {
for (Player p : Configurations.getPlayers()) {
if (p.getMoney() > 300 && !p.isPassed()) {
playerOrder.add(p);
}
}
if (playerOrder.isEmpty()) {
Configurations.setRound(Configurations.getRound() + 1);
// Applying random event to player 1 during initial game start
Configurations.getCurPlayer().setMessage(applyRandomEvent());
Configurations.getGameScreenController()
.updateText(Configurations.getCurPlayer().getMessage());
Configurations.getLoopService().start();
movePhaseTurnIncre();
return;
}
}
Configurations.setCurPlayer(playerOrder.remove());
if (Configurations.getCurPlayer().isPassed()) {
buyTurnIncre();
}
Configurations.getGameScreenController().updateText();
}
public static void computePaths(Vertex source, ArrayList<String> ziel) {
source.minDistance = 0.;
PriorityQueue<Vertex> vertexQueue = new PriorityQueue<Vertex>();
vertexQueue.add(source);
while (!vertexQueue.isEmpty()) {
Vertex u = vertexQueue.poll();
// Visit each edge exiting u
for (Edge e : u.adjacencies) {
Vertex v = e.target;
double weight = e.weight;
double distanceThroughU = u.minDistance + weight;
if (distanceThroughU < v.minDistance) {
vertexQueue.remove(v);
v.minDistance = distanceThroughU;
v.previous = u;
vertexQueue.add(v);
}
}
if (ziel.contains(u.name)) {
vertexQueue.clear();
break;
}
}
}
/** Implements method from {@link IPathFinder}. */
public List<Point> findPath(Point start, Point end) {
assertPointIsInBounds(start);
assertPointIsInBounds(end);
PriorityQueue<PathNode> openSet = new PriorityQueue<PathNode>();
Map<Point, PathNode> openSetLookupMap = new HashMap<Point, PathNode>();
Set<Point> closedSet = new HashSet<Point>();
PathNode startNode = new PathNode(null, start, 0, context.h(start, end));
openSet.add(startNode);
openSetLookupMap.put(startNode.location, startNode);
while (!openSet.isEmpty()) {
PathNode current = openSet.remove();
openSetLookupMap.remove(current.location);
if (current.location.equals(end)) {
return reconstructPath(current);
}
closedSet.add(current.location);
for (Point neighbor : findNeighbors(current.location, context.allowDiagonalMovements())) {
if (!isInValidPoint(neighbor) && !closedSet.contains(neighbor)) {
PathNode neighborNode = openSetLookupMap.get(neighbor);
double tentativeGvalue = current.g + context.g_factor(neighbor);
if (neighborNode == null) {
neighborNode =
new PathNode(current, neighbor, tentativeGvalue, context.h(neighbor, end));
} else {
neighborNode.g = Math.min(neighborNode.g, tentativeGvalue);
}
// TODO modify to use HashSet instead of PriorityQueue since remove is linear anyway
// TODO the above should allow us to condense two openSets into a single one, replacing
// openSet.remove() w/ linear time lookup
// TODO consider inserting things into self sorting data structure, that way remove is
// constant time and lookups are log n (binary search?)
openSet.remove(neighborNode);
openSet.add(neighborNode);
}
}
}
return new ArrayList<Point>();
}
/** Picks and removes the next entry. Returns null if the entry has been removed. */
public Entry removeNext() {
Entry p = pending_queue.remove();
if (!pending_set.remove(p)) {
if (logger.isDebugEnabled()) logger.debug("Skipping removed entry " + p);
return null;
}
return p;
}
/*skylineII
* // First: split building into two edge and sort
// Second: create a max-heap with first height 0, we offer height and poll height
// Third: for every edge, - put in(new skyline), + remove it(old skyline), if current max height not the same as before we add in
// init 0, max height so far, if change, skyline redraw //
* */
public List<int[]> skylineII(List<Interval> intervals) {
List<int[]> res = new ArrayList<int[]>();
if (intervals == null || intervals.size() == 0) {
return res;
}
// First: split building into two edge and sort
List<int[]> height = new ArrayList<int[]>();
for (Interval item : intervals) {
height.add(new int[] {item.start, -item.height}); // start, -height
height.add(new int[] {item.end, item.height}); // end, height
}
Collections.sort(
height,
new Comparator<int[]>() {
public int compare(int[] a, int[] b) {
if (a[0] != b[0]) return a[0] - b[0];
return a[1] - b[1]; // start BEFORE end, height small BEFORE height large
// BOTH START -10,-5=> -10->-5
// BOTH END 10, 5=>5->10
}
});
// Second: create a max-heap with first height 0, we offer height and poll height
// 根据position从前到后扫描每一个edge
// 将edge根据是入还是出来将当前height加入或者移除heap
// 再得到当前最高点(max-heap)来决定是否加入最终结果。
// 把所有的turning points 放在一起，根据coordination从小到大sort 。
// 再用max-heap, 把所有的turning points扫一遍，遇到start turning point,
// 把 volume放入max-heap.
// 遇到end turning point，把对应的volume从max-heap中取出。
// max-heap的max 值就是对应区间的最大volume
// Input : [2,-10][3,-15][5,-12][7,15][9,10][12,12][15,-10][19,-8][20,10][24,8]
// Result: [2 10],[3 15],[7 12],[12 0],[15 10],[20 8],[24, 0]
// Event{true,0,200}, Event{false,10,200}
// ==> Event{0,200}, Event{10,-200}
// 按照time排序，time相同，is_in = false的优先
// 然后你扫过去， is_in=true的你就加mem,is_in=false的你就-mem.每个事件点，
// 你会加或减一次，每加或减一次后，就check是不是超过总的
PriorityQueue<Integer> pq = new PriorityQueue<Integer>(10, new pqComparator());
// Avoid empty heap, still has ZERO value
pq.offer(0);
int prev = 0;
// Third: for every edge, - put in(new skyline), + remove it(old skyline), if current max height
// not the same as before we add in
// init 0, max height so far, if change, skyline redraw
for (int[] item : height) {
// START, ADD
if (item[1] < 0) pq.offer(-item[1]);
// END, REMOVE
else pq.remove(item[1]);
int max = pq.peek();
if (prev != max) {
res.add(new int[] {item[0], max});
prev = max;
}
}
return res;
}
@Override
public void decreaseKey(int element, int key) {
if (key < elements[element].distance) {
VertexWithDistance updated = new VertexWithDistance(element, key);
q.remove(updated);
q.add(updated);
elements[element] = updated;
}
}
/**
* Removes a single instance of the specified element from this queue, if it is present, whether
* or not it has expired.
*/
public boolean remove(Object o) {
final ReentrantLock lock = this.lock;
lock.lock();
try {
return q.remove(o);
} finally {
lock.unlock();
}
}
public void purge() {
CacheEntry queueEntry = expirationQueue.peek();
while ((queueEntry != null) && queueEntry.isExpired()) {
super.remove(queueEntry.getKey());
expirationQueue.remove();
queueEntry = expirationQueue.peek();
}
}
public void dijkstra(int src) {
d[src] = 0;
pq.add(src);
while (!pq.isEmpty()) {
int u = pq.remove();
for (int i = 1; i <= intersection; i++) {
if (Matrix[u][i] != 0) relax(u, i, Matrix[u][i]);
}
}
}
@Override
public CacheEntry remove(Object key) {
CacheEntry entry = super.remove(key);
if (entry != null) {
expirationQueue.remove(entry);
}
return entry;
}
public static String next() {
if (pq.peek() != null) {
System.out.println("queue pop");
String curUrl = pq.remove().url;
if (!visitedUrl.contains(curUrl)) {
visitedUrl.add(curUrl);
return curUrl;
} else return null;
} else return null;
}
public static void update(float tpf) {
if (heap.isEmpty() == false) {
myTime += (long) (tpf * 1000);
while (heap.isEmpty() == false && ((Timer) heap.peek()).time < myTime) {
Timer t = (Timer) heap.peek();
heap.remove();
t.execute();
}
}
}
private void testCustomAggregation(Long[] values, int n) {
PriorityQueue<Long> heap = new PriorityQueue<Long>(n);
Arrays.stream(values).filter(x -> x != null).forEach(heap::add);
Long[] expected = new Long[heap.size()];
for (int i = heap.size() - 1; i >= 0; i--) {
expected[i] = heap.remove();
}
testAggregation(
Arrays.asList(expected), createLongsBlock(values), createLongRepeatBlock(n, values.length));
}
public void clearNearestBlockade() throws SOSActionException {
log.info("clearing NearestBlockade");
PriorityQueue<Blockade> blockadesInRange =
model().getBlockadesInRange(agent.me().getX(), agent.me().getY(), agent.clearDistance);
log.debug("Blockades in Range=" + blockadesInRange);
Blockade selectedBlock = null;
if (!blockadesInRange.isEmpty()) selectedBlock = blockadesInRange.remove();
log.debug("best blockade:" + selectedBlock);
if (selectedBlock != null) clear(selectedBlock);
}