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();
}
private void removeBuildings(
PriorityQueue<Building> endings, PriorityQueue<Integer> heights, List<int[]> result) {
final Building rm = endings.poll();
heights.remove(rm.height);
while (endings.size() > 0 && endings.peek().to == rm.to) {
heights.remove(endings.poll().height);
}
final int peek = heights.size() > 0 ? heights.peek() : 0;
if (peek < rm.height) {
result.add(new int[] {rm.to, peek});
}
}
// 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;
}
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();
}
public int[] maxSlidingWindow(int[] nums, int k) {
if (nums == null || nums.length == 0) {
return new int[0];
}
int len = nums.length;
int max = Integer.MIN_VALUE;
PriorityQueue<Integer> heap = new PriorityQueue<Integer>(k, new heapComparator());
for (int i = 0; i < Math.min(k, len); i++) {
heap.add(nums[i]);
}
if (k >= len) {
int[] edge = new int[1];
edge[0] = heap.peek();
return edge;
}
int[] res = new int[len - k + 1];
int index = 0;
for (int i = k; i < len; i++) {
res[index] = heap.peek();
index++;
heap.remove(nums[i - k]);
heap.add(nums[i]);
}
res[index] = heap.peek();
return res;
}
/**
* 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 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 int dijkstra(Vertex s) {
int count;
Collection<Vertex> vertices_;
Comparator<Vertex> comp;
PriorityQueue<Vertex> fringe;
count = 0;
vertices_ = vertices.values();
comp =
new Comparator<Vertex>() {
public int compare(Vertex i, Vertex j) {
return (i.cost - j.cost);
}
};
fringe = new PriorityQueue<Vertex>(20, comp);
for (Vertex v : vertices_) {
v.visited = false;
v.cost = 999999;
}
s.cost = 0;
s.parent = null;
fringe.add(s);
while (!fringe.isEmpty()) {
Vertex v = fringe.remove(); // lowest-cost
count++; // count nodes
if (!v.visited) {
v.visited = true;
for (Edge e : v.edges) {
int newcost = v.cost + e.cost;
if (newcost < e.target.cost) {
if (e.target.cost < 999999) // target on queue already?
fringe.remove(e.target); // if yes, remove it.
e.target.cost = newcost;
e.target.parent = v;
fringe.add(e.target);
}
}
}
}
return count;
}
public static void main(String[] args) {
PriorityQueue<GregorianCalendar> pq =
new PriorityQueue<GregorianCalendar>(); // 优先级队列对GC设置优先级：月->日
pq.add(new GregorianCalendar(1906, Calendar.DECEMBER, 9)); // G. Hopper
pq.add(new GregorianCalendar(1815, Calendar.DECEMBER, 10)); // A. Lovelace
pq.add(new GregorianCalendar(1923, Calendar.DECEMBER, 3)); // J. von Neumann
pq.add(new GregorianCalendar(1910, Calendar.JUNE, 22)); // K. Zuse
System.out.println("Iterating over elements...");
for (GregorianCalendar date : pq) System.out.println(date.get(Calendar.YEAR));
System.out.println("Removing elements...");
while (!pq.isEmpty()) System.out.println(pq.remove().get(Calendar.YEAR));
}
// 保存待访问的URL及其优先级
private static void SavePriorQueue(String filepath) throws Exception {
BufferedWriter bw = new BufferedWriter(new FileWriter(filepath));
PriorityQueue<UrlValue> temp = new PriorityQueue<UrlValue>();
UrlValue cur = null;
while (pq.peek() != null) {
cur = pq.remove();
temp.offer(cur);
bw.write(cur.url + " " + cur.value);
bw.newLine();
}
pq = temp;
bw.flush();
bw.close();
}
/*
* 获取客户极坐标的排序
*
* */
public Queue<Client> sortClientsByPolarCoordinate(Client[] clients) {
Queue<Client> queue = new LinkedList<Client>();
ClientPolarCoordinateComparator clientPolarCoordinateComparator =
new ClientPolarCoordinateComparator();
PriorityQueue<Client> priorityQueue =
new PriorityQueue<Client>(clients.length - 1, clientPolarCoordinateComparator);
for (int i = 1; i < clients.length; i++) {
priorityQueue.add(clients[i]);
}
while (!priorityQueue.isEmpty()) {
queue.add(priorityQueue.remove());
}
return queue;
}
/**
* 执行KNN算法，获取测试元组的类别
*
* @param list 训练数据集
* @param test 测试元组
* @param k 设定的K值
* @return 测试元组的类别
*/
public String knn(List<List<Double>> list, List<Double> test, int k) {
PriorityQueue<KNNNode> pq = new PriorityQueue<KNNNode>(k, comparator);
for (int i = 0; i < k; i++) {
List<Double> trainTuple = list.get(i);
Double c = trainTuple.get(0);
KNNNode node = new KNNNode(i, getDistance(test, trainTuple), c);
pq.add(node);
}
for (int i = 0; i < list.size(); i++) {
List<Double> t = list.get(i);
double distance = getDistance(test, t);
KNNNode top = pq.peek();
if (top.getDistance() > distance) {
pq.remove();
pq.add(new KNNNode(i, distance, t.get(0)));
}
}
return getMostClass(pq);
}
public int[] maxSlidingWindow(int[] nums, int k) {
int n = nums.length;
if (n == 0) return new int[0];
PriorityQueue<Integer> pq = new PriorityQueue<>(k, Collections.reverseOrder());
Deque<Integer> queue = new ArrayDeque<>();
for (int i = 0; i < k; ++i) {
add(pq, queue, nums[i]);
}
if (n == k) return new int[] {pq.poll().intValue()};
int[] max = new int[n - k + 1];
int idx = 0;
for (int i = k; i < n; ++i) {
max[idx++] = pq.peek().intValue();
pq.remove(queue.poll());
add(pq, queue, nums[i]);
}
max[idx] = pq.peek().intValue();
return max;
}
public int astar(Vertex start, Vertex goal, Heuristic h) {
int count;
Collection<Vertex> vertices_;
Comparator<Vertex> comp;
PriorityQueue<Vertex> fringe;
count = 0;
vertices_ = vertices.values();
comp =
new Comparator<Vertex>() {
public int compare(Vertex i, Vertex j) {
return (i.cost + i.estimate - j.cost - j.estimate);
}
}; // use estimates
fringe = new PriorityQueue<Vertex>(20, comp);
for (Vertex v : vertices_) {
v.visited = false;
v.cost = 999999;
}
start.cost = 0;
start.parent = null;
fringe.add(start);
while (!fringe.isEmpty()) {
Vertex v = fringe.remove(); // lowest-cost
count++; // count nodes
if (v.equals(goal)) { // if the goal is found, quit
break;
}
if (!v.visited) {
v.visited = true;
for (Edge e : v.edges) {
int newcost = v.cost + e.cost;
if (newcost < e.target.cost) {
e.target.cost = newcost;
e.target.parent = v;
e.target.estimate = h.fn(e.target, goal); // use heuristic
fringe.add(e.target);
}
}
}
}
return count;
}
public static void computePaths(City source) {
source.minDistance = 0.;
PriorityQueue<City> cityQueue = new PriorityQueue<City>();
cityQueue.add(source);
while (!cityQueue.isEmpty()) {
City u = cityQueue.poll();
// Visit each edge exiting u
for (Route e : u.neighbours) {
City v = e.target;
double weight = e.weight;
double distanceThroughU = u.minDistance + weight;
if (distanceThroughU < v.minDistance) {
cityQueue.remove(v);
v.minDistance = distanceThroughU;
v.previous = u;
cityQueue.add(v);
}
}
}
}
/**
* 获取所得到的k个最近邻元组的多数类
*
* @param pq 存储k个最近近邻元组的优先级队列
* @return 多数类的名称
*/
private String getMostClass(PriorityQueue<KNNNode> pq) {
Map<Double, Integer> classCount = new HashMap<Double, Integer>();
for (int i = 0; i < pq.size(); i++) {
KNNNode node = pq.remove();
double c = node.getC();
if (classCount.containsKey(c)) {
classCount.put(c, classCount.get(c) + 1);
} else {
classCount.put(c, 1);
}
}
int maxIndex = -1;
int maxCount = 0;
Object[] classes = classCount.keySet().toArray();
for (int i = 0; i < classes.length; i++) {
if (classCount.get(classes[i]) > maxCount) {
maxIndex = i;
maxCount = classCount.get(classes[i]);
}
}
return classes[maxIndex].toString();
}
public int prim(Vertex s) {
int cost;
Collection<Vertex> vertices_;
Comparator<Vertex> comp;
PriorityQueue<Vertex> fringe;
cost = 0;
vertices_ = vertices.values();
comp =
new Comparator<Vertex>() {
public int compare(Vertex i, Vertex j) {
return (i.cost - j.cost);
}
};
fringe = new PriorityQueue<Vertex>(20, comp);
for (Vertex v : vertices_) {
v.visited = false;
v.parent = null;
v.cost = 999999;
}
s.cost = 0;
fringe.add(s);
while (!fringe.isEmpty()) {
Vertex v = fringe.remove(); // lowest-cost
if (!v.visited) {
v.visited = true;
cost += v.cost(); // calculate cost
for (Edge e : v.edges) {
if ((!e.target.visited) && (e.cost < e.target.cost)) {
e.target.cost = e.cost;
e.target.parent = v;
fringe.add(e.target);
}
}
}
}
return cost;
}
public static void print() {
while (pq.peek() != null) {
System.out.println(pq.remove().url);
}
}
public static void main(String[] args) throws Exception {
BufferedReader br = new BufferedReader(new FileReader(new File(args[0])));
BufferedWriter bw = new BufferedWriter(new FileWriter(args[1]));
int T = Integer.parseInt(br.readLine());
for (int t = 1; t <= T; t++) {
br.readLine();
List<List<Station>> graph = new ArrayList<>();
int N = Integer.parseInt(br.readLine());
for (int i = 0; i < N; i++) {
graph.add(new ArrayList<>());
String[] line1 = br.readLine().split(" ");
int SN = Integer.parseInt(line1[0]);
int W = Integer.parseInt(line1[1]);
for (int j = 0; j < SN; j++) {
graph.get(i).add(new Station(i, j, W));
}
String[] dist = br.readLine().split(" ");
for (int j = 0; j < dist.length; j++) {
int d = Integer.parseInt(dist[j]);
Station s1 = graph.get(i).get(j);
Station s2 = graph.get(i).get(j + 1);
s1.neighbors.put(s2, d);
s2.neighbors.put(s1, d);
}
}
int tunnelNum = Integer.parseInt(br.readLine());
for (int i = 0; i < tunnelNum; i++) {
String[] tunnel = br.readLine().split(" ");
int l1 = Integer.parseInt(tunnel[0]) - 1;
int s1 = Integer.parseInt(tunnel[1]) - 1;
int l2 = Integer.parseInt(tunnel[2]) - 1;
int s2 = Integer.parseInt(tunnel[3]) - 1;
int d = Integer.parseInt(tunnel[4]);
Station sta1 = graph.get(l1).get(s1);
Station sta2 = graph.get(l2).get(s2);
sta1.neighbors.put(sta2, d + sta2.waitTime); // add wait time to distance
sta2.neighbors.put(sta1, d + sta1.waitTime);
Station sta11 = sta1.cloneForTunnel();
Station sta22 = sta2.cloneForTunnel();
graph.get(sta1.lineNo).add(sta11);
graph.get(sta2.lineNo).add(sta22);
for (Station st : sta11.neighbors.keySet()) {
sta2.neighbors.put(
st,
d
+ sta11.neighbors.get(
st)); // don't wait, sta11 means go xsfrom sta2 to sta1 than go to other
// tunnel
}
for (Station st : sta22.neighbors.keySet()) {
sta1.neighbors.put(st, d + sta22.neighbors.get(st));
}
}
int queryNum = Integer.parseInt(br.readLine());
bw.write("Case: #" + t + ":");
bw.newLine();
for (int i = 0; i < queryNum; i++) {
String[] query = br.readLine().split(" ");
int l1 = Integer.parseInt(query[0]) - 1;
int s1 = Integer.parseInt(query[1]) - 1;
int l2 = Integer.parseInt(query[2]) - 1;
int s2 = Integer.parseInt(query[3]) - 1;
Station sta1 = graph.get(l1).get(s1);
Station sta2 = graph.get(l2).get(s2);
PriorityQueue<Station> pq = new PriorityQueue<>();
sta1.dist = sta1.waitTime;
for (List<Station> line : graph) {
for (Station st : line) {
pq.offer(st);
}
}
Set<Station> visited = new HashSet<>();
visited.add(sta1);
boolean done = false;
while (!done && !pq.isEmpty()) {
Station st = pq.poll();
for (Station neb : st.neighbors.keySet()) {
if (!visited.contains(neb)) {
neb.dist = st.dist + st.neighbors.get(neb);
if (neb == sta2) { // reference to same object
done = true;
break;
}
visited.add(neb);
pq.remove(neb); // because need to let pq update this item's priority level
pq.offer(neb);
}
}
}
int ret = sta2.dist == Integer.MAX_VALUE ? -1 : sta2.dist;
bw.write("" + ret);
bw.newLine();
}
}
bw.close();
br.close();
}
public ArrayList<ArrayList<Integer>> buildingOutline(int[][] buildings) {
// buildings [[1,3,3], [2,4,4], [5,6,1]] => temp [[1,2,3],[2,3,4],[3,4,4],[5,6,1]] => result
// [[1,2,3],[2,4,4],[5,6,1]]
ArrayList<ArrayList<Integer>> result = new ArrayList<ArrayList<Integer>>();
ArrayList<ArrayList<Integer>> temp = new ArrayList<ArrayList<Integer>>();
if (buildings == null || buildings.length == 0) return result;
int n = buildings.length;
Point[] points = new Point[2 * n];
for (int i = 0; i < n; i++) {
points[2 * i] = new Point(buildings[i][0], true, buildings[i]);
points[2 * i + 1] = new Point(buildings[i][1], false, buildings[i]);
}
Comparator<Point> c1 =
new Comparator<Point>() {
public int compare(Point p1, Point p2) {
return p1.pos - p2.pos;
}
};
Arrays.sort(points, c1); // sort points in ascending order
Comparator<int[]> c2 =
new Comparator<int[]>() {
public int compare(int[] a, int[] b) {
return b[2] - a[2];
}
};
PriorityQueue<int[]> pq = new PriorityQueue<int[]>(1, c2); // max heap of buildings
int open = 1, pre = points[0].pos, i = 1;
pq.offer(points[0].building);
while (i < 2 * n) {
Point cur = points[i++];
if (open == 0) {
pre = cur.pos;
}
if (pre != cur.pos) {
ArrayList<Integer> newB = new ArrayList<Integer>();
newB.add(pre);
newB.add(cur.pos);
newB.add(pq.peek()[2]);
temp.add(newB);
pre = cur.pos;
}
if (cur.isS) {
open++;
pq.offer(cur.building);
} else {
open--;
pq.remove(cur.building);
}
}
// merge the adjacent outlines if they have the same height
if (temp.size() == 0) return result;
ArrayList<Integer> preB = temp.get(0);
int s = preB.get(0), h = preB.get(2);
int m = temp.size();
for (int j = 1; j < m; j++) {
if (temp.get(j).get(2) != h) {
ArrayList<Integer> path = new ArrayList<Integer>();
path.add(s); // start position
path.add(temp.get(j - 1).get(1)); // end position
path.add(h); // height
result.add(path);
s = temp.get(j).get(0);
h = temp.get(j).get(2);
}
}
ArrayList<Integer> path = new ArrayList<Integer>();
path.add(s);
path.add(temp.get(m - 1).get(1));
path.add(h);
result.add(path);
return result;
}
/** ***************************************************************************** */
void addEntry(String s) {
// System.err.println("TRACX: " + s);
if (trace_writer != null) trace_writer.println(s);
char s0 = s.charAt(0);
if (s0 == 'T') { // THREAD
if (thread_entries != null) {
for (TraceEntry te : thread_entries) pending_entries.add(te);
thread_entries = null;
}
StringTokenizer tok = new StringTokenizer(s);
tok.nextToken();
int id = Integer.parseInt(tok.nextToken());
current_thread = thread_map.get(id);
if (current_thread == null) {
int tid = Integer.parseInt(tok.nextToken());
String tnm = tok.nextToken("\n");
current_thread = new ThreadData(++thread_counter, tid, tnm);
thread_map.put(id, current_thread);
}
thread_entries = new ArrayList<TraceEntry>();
} else if (s0 == 'D') { // DONE
if (trace_writer != null) trace_writer.flush();
if (thread_entries != null) {
for (TraceEntry te : thread_entries) pending_entries.add(te);
thread_entries = null;
}
StringTokenizer tok = new StringTokenizer(s);
tok.nextToken();
long time = Long.parseLong(tok.nextToken());
if (next_time != 0) {
int ct = 0;
// System.err.println("TRACE: Pending size = " + pending_entries.size());
while (!pending_entries.isEmpty() && pending_entries.peek().getTime() < next_time) {
TraceEntry te = pending_entries.remove();
++ct;
outputEntry(te);
}
if (ct > 0) {
for (BdynEventUpdater eu : update_listeners) {
eu.eventsAdded();
}
}
end_time = Math.max(next_time, end_time);
}
next_time = time;
} else if (s0 == 'S') {
if (cpu_time == null) {
StringTokenizer tok = new StringTokenizer(s);
tok.nextToken();
cpu_time = Boolean.parseBoolean(tok.nextToken());
}
} else if (cpu_time != null) {
TraceEntry te = new TraceEntry(s, current_thread, cpu_time);
if (thread_entries == null) pending_entries.add(te);
else {
thread_entries.add(te);
if (te.isExit()) {
int sz = thread_entries.size();
int loc = te.getEntryLocation();
if (sz >= 4) {
TraceEntry t3 = thread_entries.get(sz - 2);
if (!t3.isExit() && t3.getEntryLocation() == loc) {
TraceEntry t2 = thread_entries.get(sz - 3);
if (t2.isExit() && t2.getEntryLocation() == loc) {
TraceEntry t1 = thread_entries.get(sz - 4);
if (!t1.isExit()
&& t1.getEntryLocation() == loc
&& (te.getTime() - t1.getTime()) < MERGE_TIME) {
t1.merge(t2.getTime(), t3.getTime(), te.getTime());
thread_entries.remove(sz - 2);
thread_entries.remove(sz - 3);
}
}
}
}
}
}
}
}
// Pick a target to shoot
// Parameters:
// prevRound - an array of previous shoots, prevRound[i] is the player that player i shot
// -1 if player i did not shoot
// alive - an array of player's status, true if the player is still alive in this round
// Return:
// int - the player id to shoot, return -1 if do not shoot anyone
//
public int shoot(int[] prevRound, boolean[] alive) {
if (prevRound == null) {
return -1; // Make love, not war
}
System.out.println(Arrays.toString(friends));
// Keep track of who got shot, how many times earlier
boolean[] shotAt = new boolean[prevRound.length];
int[] shotBy = new int[prevRound.length];
Arrays.fill(shotBy, -1);
for (int player = 0; player < prevRound.length; player++) {
if (prevRound[player] == -1) continue;
shotBy[prevRound[player]] = player;
shotAt[prevRound[player]] = true;
}
// bingyi
for (int player = 0; player < prevRound.length; player++)
record.get(player).add(prevRound[player]);
// yash
// call prediction function here
predictNextRound(next_round, record, alive);
// summing up next_round stats
double[] next_round_sum = new double[nplayers];
// add the columns of prediction matrix to get player most likely to be shot at
for (int i = 0; i < nplayers; i++) {
for (int j = 0; j < nplayers; j++) {
next_round_sum[i] += next_round[j][i];
}
}
// d
System.out.println("Typical " + Arrays.toString(next_round_sum));
for (int player = 0; player < prevRound.length; player++) {
if (prevRound[player] != -1) whoShotWhomCount[player][prevRound[player]]++;
gaugeSeverity(player, prevRound[player], alive, shotAt, shotBy, prevRound, next_round_sum);
}
// you shoot; he's still alive
if (prevRound[this.id] != -1 && alive[prevRound[this.id]]) {
priorityList.add(new PriorityTuple(prevRound[this.id], CON));
}
// Printing the next_round_sum array returned
for (int i = 0; i < next_round.length; i++) {
for (int j = 0; j < next_round.length; j++) {
System.out.print(next_round[i][j]);
}
System.out.println();
}
/*
int popular_target[]=new int[prevRound.length];
int players[]=new int[prevRound.length];
for(int i=0;i<players.length;i++)
{
players[i]=i;
}
//sort player and popular_target arrays to get sorted list of targets
for(int i=0;i<popular_target.length;i++)
{
for(int j=0;j<popular_target.length-1;j++)
{
if(popular_target[j]<popular_target[j+1])
{
int temp=popular_target[j];
popular_target[j]=popular_target[j+1];
popular_target[j+1]=temp;
temp=players[j];
players[j]=players[j+1];
players[j+1]=temp;
}
}
}
//We only need the most likely target, but I'm sorting the list just to get an idea of what our targets are like
//printing players and their likeliness to be shot
for(int j=0;j<prediction.length;j++)
{
System.out.print("("+players[j]+","+popular_target[j]+") ");
}
System.out.println();
*/
/*
//shoot the most likely player if he is not a friend
for(int i=0;i<popular_target.length;i++)
{
// if((isEnemy(players[i]) || isNeutral(players[i])) && players[i]!=this.id && alive[players[i]])
if((isEnemy(players[i]) || Enemyus(players[i], record) || EnemyourAF(players[i], record, alive))&& players[i]!=this.id && alive[players[i]])
{
return players[i];
}
}
*/
// Choose whom to shoot
// if no enemies or neutrals are to be shot at
if (priorityList.size() == 0) {
priorityList.clear();
return -1;
}
// yash
// ArrayList<Integer> targets=new ArrayList<Integer>();
int target;
PriorityTuple firstTuple;
double maxNextRoundSum;
try {
do {
firstTuple = priorityList.remove();
maxNextRoundSum = next_round_sum[firstTuple.playerId];
target = firstTuple.playerId;
// targets.add(firstTuple.playerId);
} while (isFriend(target));
} catch (NullPointerException e) {
return -1;
}
while (priorityList.size() != 0 && firstTuple.priority == priorityList.peek().priority) {
PriorityTuple anotherTuple = priorityList.remove();
// targets.add(tupleToAdd.playerId);
if (next_round_sum[anotherTuple.playerId] > maxNextRoundSum) {
maxNextRoundSum = next_round_sum[anotherTuple.playerId];
target = anotherTuple.playerId;
}
}
priorityList.clear();
return target;
// System.out.println("this is our hate most list\n");
// printListofArray(hate_most);
// if(priorityList.size()==0)
// return -1;
//
// attentionSeekingPrint(priorityList.toString());
// int myTarget=getMyTarget(shotAt);
// priorityList.clear();
// //bingyi
// printMatrix(record);
// //bingyi
// return myTarget;
}
private List<Haplotype> computeHaplotypes(
final ReadBackedPileup pileup,
final int contextSize,
final int locus,
final VariantContext vc) {
// Compute all possible haplotypes consistent with current pileup
int haplotypesToCompute = vc.getAlternateAlleles().size() + 1;
final PriorityQueue<Haplotype> candidateHaplotypeQueue =
new PriorityQueue<Haplotype>(100, new HaplotypeComparator());
final PriorityQueue<Haplotype> consensusHaplotypeQueue =
new PriorityQueue<Haplotype>(
MAX_CONSENSUS_HAPLOTYPES_TO_CONSIDER, new HaplotypeComparator());
for (final PileupElement p : pileup) {
final Haplotype haplotypeFromRead = getHaplotypeFromRead(p, contextSize, locus);
candidateHaplotypeQueue.add(haplotypeFromRead);
}
// Now that priority queue has been built with all reads at context, we need to merge and find
// possible segregating haplotypes
Haplotype elem;
while ((elem = candidateHaplotypeQueue.poll()) != null) {
boolean foundHaplotypeMatch = false;
Haplotype lastCheckedHaplotype = null;
for (final Haplotype haplotypeFromList : consensusHaplotypeQueue) {
final Haplotype consensusHaplotype = getConsensusHaplotype(elem, haplotypeFromList);
if (consensusHaplotype != null) {
foundHaplotypeMatch = true;
if (consensusHaplotype.getQualitySum() > haplotypeFromList.getQualitySum()) {
consensusHaplotypeQueue.remove(haplotypeFromList);
consensusHaplotypeQueue.add(consensusHaplotype);
}
break;
} else {
lastCheckedHaplotype = haplotypeFromList;
}
}
if (!foundHaplotypeMatch
&& consensusHaplotypeQueue.size() < MAX_CONSENSUS_HAPLOTYPES_TO_CONSIDER) {
consensusHaplotypeQueue.add(elem);
} else if (!foundHaplotypeMatch
&& lastCheckedHaplotype != null
&& elem.getQualitySum() > lastCheckedHaplotype.getQualitySum()) {
consensusHaplotypeQueue.remove(lastCheckedHaplotype);
consensusHaplotypeQueue.add(elem);
}
}
// Now retrieve the N most popular haplotypes
if (consensusHaplotypeQueue.size() > 0) {
// The consensus haplotypes are in a quality-ordered priority queue, so the best haplotypes
// are just the ones at the front of the queue
final Haplotype haplotype1 = consensusHaplotypeQueue.poll();
List<Haplotype> hlist = new ArrayList<Haplotype>();
hlist.add(new Haplotype(haplotype1.getBases(), 60));
for (int k = 1; k < haplotypesToCompute; k++) {
Haplotype haplotype2 = consensusHaplotypeQueue.poll();
if (haplotype2 == null) {
haplotype2 = haplotype1;
} // Sometimes only the reference haplotype can be found
hlist.add(new Haplotype(haplotype2.getBases(), 20));
}
return hlist;
} else return null;
}
/**
* Does Dijkstra and returns the a 1d structure that can be treated as 2d
*
* @param board
* @param hero
* @return
*/
private static List<Vertex> doDijkstra(GameState.Board board, GameState.Hero hero) {
List<Vertex> vertexes = new LinkedList<Vertex>();
Vertex me = null;
// Build the graph sans edges
for (int row = 0; row < board.getSize(); row++) {
for (int col = 0; col < board.getSize(); col++) {
Vertex v = new Vertex();
GameState.Position pos = new GameState.Position(row, col);
int tileStart = row * board.getSize() * 2 + (col * 2);
v.setTileType(board.getTiles().substring(tileStart, tileStart + 1 + 1));
v.setPosition(pos);
vertexes.add(v);
}
}
// Add in the edges
for (int i = 0; i < board.getSize() * board.getSize(); i++) {
int row = i % (board.getSize());
int col = i / board.getSize();
Vertex v = vertexes.get(i);
// Check: Is this us?
if (v.getPosition().getX() == hero.getPos().getX()
&& v.getPosition().getY() == hero.getPos().getY()) me = v;
if (v.getTileType().equals("##")
|| v.getTileType().equals("[]")
|| v.getTileType().startsWith("$"))
// Impassable tiles link to nowhere.
continue;
// Make sure not to link to impassable blocks that don't have a function
// Make sure you don't link impassable blocks to other blocks (you can't go from the pub to
// somewhere else)
for (int j = col - 1; j <= col + 1; j += 2) {
if (j >= 0 && j < board.getSize()) {
Vertex adjacentV = vertexes.get(j * board.getSize() + row);
v.getAdjacencies().add(adjacentV);
}
}
for (int j = row - 1; j <= row + 1; j += 2) {
if (j >= 0 && j < board.getSize()) {
Vertex adjacentV = vertexes.get(col * board.getSize() + j);
v.getAdjacencies().add(adjacentV);
}
}
}
// Zok, we have a graph constructed. Traverse.
PriorityQueue<Vertex> vertexQueue = new PriorityQueue<Vertex>();
vertexQueue.add(me);
me.setMinDistance(0);
while (!vertexQueue.isEmpty()) {
Vertex v = vertexQueue.poll();
double distance = v.getMinDistance() + 1;
for (Vertex neighbor : v.getAdjacencies()) {
if (distance < neighbor.getMinDistance()) {
neighbor.setMinDistance(distance);
neighbor.setPrevious(v);
vertexQueue.remove(neighbor);
vertexQueue.add(neighbor);
}
}
}
return vertexes;
}
/**
* routing using A* algorithm http://en.wikipedia.org/wiki/A*_search_algorithm
*
* @param startNode
* @param endNode
* @param startTime
* @param dayIndex
* @param pathNodeList return path
* @return
*/
public static double routingAStar(
long startNode, long endNode, int startTime, int dayIndex, ArrayList<Long> pathNodeList) {
// System.out.println("start finding the path...");
int debug = 0;
double totalCost = -1;
try {
// test store transversal nodes
// HashSet<Long> transversalSet = new HashSet<Long>();
if (!OSMData.nodeHashMap.containsKey(startNode)
|| !OSMData.nodeHashMap.containsKey(endNode)) {
System.err.println("cannot find start or end node!");
return -1;
}
if (startNode == endNode) {
System.out.println("start node is the same as end node.");
return 0;
}
HashSet<Long> closedSet = new HashSet<Long>();
HashMap<Long, NodeInfoHelper> nodeHelperCache = new HashMap<Long, NodeInfoHelper>();
PriorityQueue<NodeInfoHelper> openSet =
initialStartSet(startNode, endNode, startTime, dayIndex, nodeHelperCache);
HashSet<Long> endSet = initialEndSet(endNode);
NodeInfoHelper current = null;
while (!openSet.isEmpty()) {
// remove current from openset
current = openSet.poll();
// if(!transversalSet.contains(current.getNodeId()))
// transversalSet.add(current.getNodeId());
long nodeId = current.getNodeId();
// add current to closedset
closedSet.add(nodeId);
if (endSet.contains(nodeId)) { // find the destination
current = current.getEndNodeHelper(endNode);
totalCost = current.getCost();
break;
}
// for time dependent routing
int timeIndex =
startTime
+ (int)
(current.getCost() / OSMParam.SECOND_PER_MINUTE / OSMRouteParam.TIME_INTERVAL);
if (timeIndex
> OSMRouteParam.TIME_RANGE
- 1) // time [6am - 9 pm], we regard times after 9pm as constant edge weights
timeIndex = OSMRouteParam.TIME_RANGE - 1;
LinkedList<ToNodeInfo> adjNodeList = OSMData.adjListHashMap.get(nodeId);
if (adjNodeList == null) continue; // this node cannot go anywhere
double arriveTime = current.getCost();
// for each neighbor in neighbor_nodes(current)
for (ToNodeInfo toNode : adjNodeList) {
debug++;
long toNodeId = toNode.getNodeId();
int travelTime;
if (toNode.isFix()) // fix time
travelTime = toNode.getTravelTime();
else // fetch from time array
travelTime = toNode.getSpecificTravelTime(dayIndex, timeIndex);
// tentative_g_score := g_score[current] + dist_between(current,neighbor)
double costTime = arriveTime + (double) travelTime / OSMParam.MILLI_PER_SECOND;
// tentative_f_score := tentative_g_score + heuristic_cost_estimate(neighbor, goal)
double heuristicTime = estimateHeuristic(toNodeId, endNode);
double totalCostTime = costTime + heuristicTime;
// if neighbor in closedset and tentative_f_score >= f_score[neighbor]
if (closedSet.contains(toNodeId)
&& nodeHelperCache.get(toNodeId).getTotalCost() <= totalCostTime) {
continue;
}
NodeInfoHelper node = null;
// if neighbor not in openset or tentative_f_score < f_score[neighbor]
if (!nodeHelperCache.containsKey(toNodeId)) { // neighbor not in openset
node = new NodeInfoHelper(toNodeId);
nodeHelperCache.put(node.getNodeId(), node);
} else if (nodeHelperCache.get(toNodeId).getTotalCost()
> totalCostTime) { // neighbor in openset
node = nodeHelperCache.get(toNodeId);
if (closedSet.contains(toNodeId)) { // neighbor in closeset
closedSet.remove(toNodeId); // remove neighbor form colseset
} else {
openSet.remove(node);
}
}
// neighbor need update
if (node != null) {
node.setCost(costTime);
node.setHeuristic(heuristicTime);
node.setParentId(nodeId);
openSet.offer(node); // add neighbor to openset again
}
}
}
if (totalCost != -1) {
long traceNodeId = current.getNodeId();
pathNodeList.add(traceNodeId); // add end node
traceNodeId = current.getParentId();
while (traceNodeId != 0) {
pathNodeList.add(traceNodeId); // add node
current = nodeHelperCache.get(traceNodeId);
traceNodeId = current.getParentId();
}
Collections.reverse(pathNodeList); // reverse the path list
// System.out.println("find the path successful!");
} else {
System.out.println("can not find the path!");
}
// OSMOutput.generateTransversalNodeKML(transversalSet, nodeHashMap);
} catch (Exception e) {
e.printStackTrace();
System.err.println(
"tdsp: debug code " + debug + ", start node " + startNode + ", end node " + endNode);
}
return totalCost;
}
@Override
public void run() {
// TODO Auto-generated method stub
PriorityQueue<NodeInfoHelper> openSet =
new PriorityQueue<NodeInfoHelper>(
10000,
new Comparator<NodeInfoHelper>() {
public int compare(NodeInfoHelper n1, NodeInfoHelper n2) {
return (int) (n1.getTotalCost() - n2.getTotalCost());
}
});
HashSet<Long> closedSet = new HashSet<Long>();
initialEndSet(startNode, endNode, openSet, nodeHelperCache);
NodeInfoHelper current = null;
// HashSet<Long> transversalSet = new HashSet<Long>();
while (!openSet.isEmpty()) {
// remove current from openset
current = openSet.poll();
long nodeId = current.getNodeId();
// transversalSet.add(nodeId);
// add current to closedset
closedSet.add(nodeId);
// check if forward searching finish
if (sharingData.isSearchingFinish()) break;
// add to reverse cover nodes, only add the nodes on the highway
if (current.getCurrentLevel() == 1) sharingData.addReverseNode(nodeId);
NodeInfo fromNodeInfo = OSMData.nodeHashMap.get(nodeId);
LinkedList<ToNodeInfo> adjNodeList = adjListHashMap.get(nodeId);
if (adjNodeList == null) continue; // this node cannot go anywhere
double arriveTime = current.getCost();
// for each neighbor in neighbor_nodes(current)
for (ToNodeInfo toNode : adjNodeList) {
long toNodeId = toNode.getNodeId();
NodeInfo toNodeInfo = OSMData.nodeHashMap.get(toNodeId);
EdgeInfo edgeInfo = fromNodeInfo.getEdgeFromNodes(toNodeInfo);
// check if "highway" not found in param, add it
// String highway = edgeInfo.getHighway();
int level = 10;
if (OSMData.hierarchyHashMap.containsKey(edgeInfo.getHighway()))
level = OSMData.hierarchyHashMap.get(edgeInfo.getHighway());
// 1) always level up, e.g. currently in primary, never go secondary
// if(level > current.getCurrentLevel()) { // do not level down
// continue;
// }
// 2) keep on highway
if (current.getCurrentLevel() == 1 && level > 1) {
continue;
}
int travelTime = toNode.getMinTravelTime();
// tentative_g_score := g_score[current] + dist_between(current,neighbor)
double costTime = arriveTime + (double) travelTime / OSMParam.MILLI_PER_SECOND;
// tentative_f_score := tentative_g_score + heuristic_cost_estimate(neighbor, goal)
double heuristicTime = OSMRouting.estimateHeuristic(toNodeId, endNode);
double totalCostTime = costTime + heuristicTime;
// if neighbor in closedset and tentative_f_score >= f_score[neighbor]
if (closedSet.contains(toNodeId)
&& nodeHelperCache.get(toNodeId).getTotalCost() <= totalCostTime) {
continue;
}
NodeInfoHelper node = null;
// if neighbor not in openset or tentative_f_score < f_score[neighbor]
if (!nodeHelperCache.containsKey(toNodeId)) { // neighbor not in openset
node = new NodeInfoHelper(toNodeId);
nodeHelperCache.put(node.getNodeId(), node);
} else if (nodeHelperCache.get(toNodeId).getTotalCost()
> totalCostTime) { // neighbor in openset
node = nodeHelperCache.get(toNodeId);
if (closedSet.contains(toNodeId)) { // neighbor in closeset
closedSet.remove(toNodeId); // remove neighbor form colseset
} else {
openSet.remove(node);
}
}
// neighbor need update
if (node != null) {
node.setCost(costTime);
node.setHeuristic(heuristicTime);
node.setCurrentLevel(level);
node.setParentId(nodeId);
openSet.offer(node); // add neighbor to openset again
}
}
}
// OSMOutput.generateTransversalNodeKML(transversalSet, nodeHashMap, "reverse_transversal");
}
@Override
public void run() {
HashSet<Long> closedSet = new HashSet<Long>();
PriorityQueue<NodeInfoHelper> openSet =
OSMRouting.initialStartSet(startNode, endNode, startTime, dayIndex, nodeHelperCache);
NodeInfoHelper current = null;
// test
// HashSet<Long> transversalSet = new HashSet<Long>();
while (!openSet.isEmpty()) {
// remove current from openset
current = openSet.poll();
long nodeId = current.getNodeId();
// transversalSet.add(nodeId);
// add current to closedset
closedSet.add(nodeId);
// check reverse searching covering nodes
if (sharingData.isNodeInReverseSet(nodeId)) {
// we found a path, stop here
sharingData.addIntersect(nodeId);
if (sharingData.isSearchingFinish()) break;
else continue;
}
NodeInfo fromNodeInfo = OSMData.nodeHashMap.get(nodeId);
// for time dependent routing in forwarding search
int timeIndex =
startTime
+ (int)
(current.getCost() / OSMParam.SECOND_PER_MINUTE / OSMRouteParam.TIME_INTERVAL);
if (timeIndex
> OSMRouteParam.TIME_RANGE
- 1) // time [6am - 9 pm], we regard times after 9pm as constant edge weights
timeIndex = OSMRouteParam.TIME_RANGE - 1;
LinkedList<ToNodeInfo> adjNodeList = adjListHashMap.get(nodeId);
if (adjNodeList == null) continue; // this node cannot go anywhere
double arriveTime = current.getCost();
// for each neighbor in neighbor_nodes(current)
for (ToNodeInfo toNode : adjNodeList) {
long toNodeId = toNode.getNodeId();
NodeInfo toNodeInfo = OSMData.nodeHashMap.get(toNodeId);
EdgeInfo edgeInfo = fromNodeInfo.getEdgeFromNodes(toNodeInfo);
// check if "highway" not found in param, add it
// String highway = edgeInfo.getHighway();
int level = 10;
if (OSMData.hierarchyHashMap.containsKey(edgeInfo.getHighway()))
level = OSMData.hierarchyHashMap.get(edgeInfo.getHighway());
// 1) always level up, e.g. currently in primary, never go secondary
// if(level > current.getCurrentLevel()) { // do not level down
// continue;
// }
// 2) keep on highway
if (current.getCurrentLevel() == 1 && level > 1) {
continue;
}
int travelTime;
// forward searching is time dependent
if (toNode.isFix()) // fix time
travelTime = toNode.getTravelTime();
else // fetch from time array
travelTime = toNode.getSpecificTravelTime(dayIndex, timeIndex);
// tentative_g_score := g_score[current] + dist_between(current,neighbor)
double costTime = arriveTime + (double) travelTime / OSMParam.MILLI_PER_SECOND;
// tentative_f_score := tentative_g_score + heuristic_cost_estimate(neighbor, goal)
double heuristicTime = OSMRouting.estimateHeuristic(toNodeId, endNode);
double totalCostTime = costTime + heuristicTime;
// if neighbor in closedset and tentative_f_score >= f_score[neighbor]
if (closedSet.contains(toNodeId)
&& nodeHelperCache.get(toNodeId).getTotalCost() <= totalCostTime) {
continue;
}
NodeInfoHelper node = null;
// if neighbor not in openset or tentative_f_score < f_score[neighbor]
if (!nodeHelperCache.containsKey(toNodeId)) { // neighbor not in openset
node = new NodeInfoHelper(toNodeId);
nodeHelperCache.put(node.getNodeId(), node);
} else if (nodeHelperCache.get(toNodeId).getTotalCost()
> totalCostTime) { // neighbor in openset
node = nodeHelperCache.get(toNodeId);
if (closedSet.contains(toNodeId)) { // neighbor in closeset
closedSet.remove(toNodeId); // remove neighbor form colseset
} else {
openSet.remove(node);
}
}
// neighbor need update
if (node != null) {
node.setCost(costTime);
node.setHeuristic(heuristicTime);
node.setCurrentLevel(level);
node.setParentId(nodeId);
openSet.offer(node); // add neighbor to openset again
}
}
}
// test
// OSMOutput.generateTransversalNodeKML(transversalSet, "forward_transversal");
}
public List<Vehicle> distribute() {
List<Vehicle> vehicles = new LinkedList<Vehicle>();
PriorityQueue<Path> ps = getSavedPaths();
List<Path> paths = new LinkedList<Path>();
Path[] tmpPath = new Path[ps.size()];
for (int j = 0; j < tmpPath.length; j++) {
tmpPath[j] = ps.remove();
}
for (int j = tmpPath.length - 1; j >= 0; j--) {
System.out.println(tmpPath[j]);
paths.add(tmpPath[j]);
}
while (!isDone(vehicles)) {
List<Path> p = new LinkedList<Path>();
Vehicle vehicle = new Vehicle();
if (getRemainingRequireMents(vehicles) > Vehicle.getMaxMaxLoad()) {
vehicle.setLoad(Vehicle.getMaxMaxLoad());
} else {
vehicle.setLoad(getRemainingRequireMents(vehicles));
}
Client[] c = new Client[1];
c[0] = clients[0];
vehicle.setClients(c);
boolean pathAdded = false;
for (int i = 0; i < paths.size(); i++) {
Path path = paths.get(i);
if (validate(vehicle, p, path)) {
p.add(path);
// System.out.println("add path " + path);
vehicle.setClients(getPath(p));
paths.remove(i);
// System.out.println("remove " + path);
pathAdded = true;
}
}
if (pathAdded) {
vehicles.add(vehicle);
}
/*将已经配送过的点的边，去掉*/
for (Vehicle v1 : vehicles) {
for (Client client : v1.getClients()) {
// System.out.println("Client:"+client);
Object[] pathsArray = paths.toArray();
for (int i = 0; i < pathsArray.length; i++) {
Path path = (Path) pathsArray[i];
// System.out.println("Path to validate "+ path);
if ((path.getEnd() == client)) {
// System.out.println("end remove " + path);
paths.remove(path);
}
if (path.getStart() == client) {
// System.out.println("start remove " + path);
paths.remove(path);
}
}
}
}
/*如果一条边上的点requirement 之和大于vehicle的载重，去掉。*/
Object[] pathArray = paths.toArray();
for (int i = 0; i < pathArray.length; i++) {
Path path = (Path) pathArray[i];
if (path.getEnd().getRequirement() + path.getStart().getRequirement()
> vehicle.getMaxLoad()) {
paths.remove(path);
}
}
// 最后还有一些孤立的配送点需要配送
if (paths.size() == 0) {
List<Client> remainingClients = getRemainingClient(vehicles);
for (Client client : remainingClients) {
Client[] c0 = new Client[3];
c0[0] = clients[0];
c0[1] = client;
c0[2] = clients[0];
Vehicle vehicle1 = new Vehicle();
if (getRemainingRequireMents(vehicles) > Vehicle.getMaxMaxLoad()) {
vehicle1.setLoad(Vehicle.getMaxMaxLoad());
} else {
vehicle1.setLoad(getRemainingRequireMents(vehicles));
}
vehicle1.setClients(c0);
vehicles.add(vehicle1);
}
return vehicles;
}
}
return vehicles;
}