reformat Qt/qt_clust.cpp
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@@ -5,163 +5,165 @@
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static void include(QRect& r, const QRect& rect)
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{
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if (rect.left()<r.left()) {
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r.setLeft(rect.left());
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}
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if (rect.right()>r.right()) {
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r.setRight(rect.right());
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}
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if (rect.top()<r.top()) {
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r.setTop(rect.top());
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}
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if (rect.bottom()>r.bottom()) {
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r.setBottom(rect.bottom());
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}
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if (rect.left() < r.left()) {
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r.setLeft(rect.left());
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}
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if (rect.right() > r.right()) {
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r.setRight(rect.right());
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}
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if (rect.top() < r.top()) {
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r.setTop(rect.top());
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}
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if (rect.bottom() > r.bottom()) {
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r.setBottom(rect.bottom());
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}
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}
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/*
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A Clusterizer groups rectangles (QRects) into non-overlapping rectangles
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by a merging heuristic.
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*/
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* A Clusterizer groups rectangles (QRects) into non-overlapping
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* rectangles by a merging heuristic.
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*/
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Clusterizer::Clusterizer(int maxclusters) :
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cluster(new QRect[maxclusters]),
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count(0),
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max(maxclusters)
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{ }
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cluster(new QRect[maxclusters]),
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count(0),
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max(maxclusters)
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{
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}
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Clusterizer::~Clusterizer()
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{
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delete [] cluster;
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delete [] cluster;
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}
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void Clusterizer::clear()
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{
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count=0;
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count = 0;
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}
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void Clusterizer::add(int x, int y)
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{
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add(QRect(x,y,1,1));
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add(QRect(x, y, 1, 1));
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}
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void Clusterizer::add(int x, int y, int w, int h)
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{
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add(QRect(x,y,w,h));
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add(QRect(x, y, w, h));
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}
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void Clusterizer::add(const QRect& rect)
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{
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QRect biggerrect(rect.x()-1,rect.y()-1,rect.width()+2,rect.height()+2);
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QRect biggerrect(rect.x() - 1, rect.y() - 1,
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rect.width() + 2, rect.height() + 2);
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//assert(rect.width()>0 && rect.height()>0);
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//assert(rect.width() > 0 && rect.height() > 0);
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int cursor;
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int cursor;
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for (cursor=0; cursor<count; cursor++) {
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if (cluster[cursor].contains(rect)) {
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// Wholly contained already.
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return;
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}
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}
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for (cursor=0; cursor < count; cursor++) {
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if (cluster[cursor].contains(rect)) {
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// Wholly contained already.
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return;
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}
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}
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int lowestcost=9999999;
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int cheapest=-1;
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for (cursor=0; cursor<count; cursor++) {
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if (cluster[cursor].intersects(biggerrect)) {
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QRect larger=cluster[cursor];
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include(larger,rect);
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int cost=larger.width()*larger.height()
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- cluster[cursor].width()*cluster[cursor].height();
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int lowestcost = 9999999;
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int cheapest = -1;
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for (cursor = 0; cursor < count; cursor++) {
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if (cluster[cursor].intersects(biggerrect)) {
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QRect larger=cluster[cursor];
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include(larger,rect);
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int cost = larger.width() * larger.height()
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- cluster[cursor].width() * cluster[cursor].height();
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if (cost < lowestcost) {
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bool bad=false;
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for (int c=0; c<count && !bad; c++) {
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bad=cluster[c].intersects(larger) && c!=cursor;
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}
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if (!bad) {
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cheapest=cursor;
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lowestcost=cost;
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}
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}
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}
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}
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if (cheapest>=0) {
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include(cluster[cheapest],rect);
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return;
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}
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if (cost < lowestcost) {
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bool bad = false;
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for (int c = 0; c < count && !bad; c++) {
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bad = cluster[c].intersects(larger) && c != cursor;
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}
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if (!bad) {
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cheapest = cursor;
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lowestcost = cost;
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}
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}
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}
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}
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if (cheapest >= 0) {
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include(cluster[cheapest], rect);
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return;
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}
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if (count < max) {
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cluster[count++]=rect;
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return;
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}
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if (count < max) {
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cluster[count++] = rect;
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return;
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}
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// Do cheapest of:
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// add to closest cluster
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// do cheapest cluster merge, add to new cluster
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// Do cheapest of:
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// add to closest cluster
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// do cheapest cluster merge, add to new cluster
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lowestcost=9999999;
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cheapest=-1;
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for (cursor=0; cursor<count; cursor++) {
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QRect larger=cluster[cursor];
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include(larger,rect);
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int cost=larger.width()*larger.height()
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- cluster[cursor].width()*cluster[cursor].height();
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if (cost < lowestcost) {
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bool bad=false;
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for (int c=0; c<count && !bad; c++) {
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bad=cluster[c].intersects(larger) && c!=cursor;
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}
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if (!bad) {
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cheapest=cursor;
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lowestcost=cost;
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}
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}
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}
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lowestcost = 9999999;
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cheapest = -1;
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for (cursor = 0; cursor < count; cursor++) {
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QRect larger = cluster[cursor];
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include(larger, rect);
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int cost = larger.width() * larger.height()
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- cluster[cursor].width() * cluster[cursor].height();
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if (cost < lowestcost) {
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bool bad = false;
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for (int c = 0; c < count && !bad; c++) {
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bad = cluster[c].intersects(larger) && c != cursor;
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}
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if (!bad) {
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cheapest = cursor;
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lowestcost = cost;
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}
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}
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}
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// XXX could make an heuristic guess as to whether we
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// XXX need to bother looking for a cheap merge.
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// XXX could make an heuristic guess as to whether we
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// XXX need to bother looking for a cheap merge.
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int cheapestmerge1=-1;
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int cheapestmerge2=-1;
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int cheapestmerge1 = -1;
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int cheapestmerge2 = -1;
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for (int merge1=0; merge1<count; merge1++) {
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for (int merge2=0; merge2<count; merge2++) {
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if (merge1!=merge2) {
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QRect larger=cluster[merge1];
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include(larger,cluster[merge2]);
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int cost=larger.width()*larger.height()
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- cluster[merge1].width()*cluster[merge1].height()
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- cluster[merge2].width()*cluster[merge2].height();
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if (cost < lowestcost) {
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bool bad=false;
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for (int c=0; c<count && !bad; c++) {
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bad=cluster[c].intersects(larger) && c!=cursor;
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}
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if (!bad) {
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cheapestmerge1=merge1;
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cheapestmerge2=merge2;
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lowestcost=cost;
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}
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}
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}
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}
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}
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for (int merge1 = 0; merge1 < count; merge1++) {
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for (int merge2 = 0; merge2 < count; merge2++) {
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if (merge1 != merge2) {
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QRect larger = cluster[merge1];
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include(larger, cluster[merge2]);
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int cost = larger.width() * larger.height()
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- cluster[merge1].width() * cluster[merge1].height()
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- cluster[merge2].width() * cluster[merge2].height();
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if (cost < lowestcost) {
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bool bad = false;
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for (int c = 0; c < count && !bad; c++) {
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bad = cluster[c].intersects(larger) && c != cursor;
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}
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if (!bad) {
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cheapestmerge1 = merge1;
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cheapestmerge2 = merge2;
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lowestcost = cost;
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}
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}
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}
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}
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}
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if (cheapestmerge1>=0) {
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include(cluster[cheapestmerge1],cluster[cheapestmerge2]);
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cluster[cheapestmerge2]=cluster[count--];
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} else {
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// if (!cheapest) debugRectangles(rect);
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include(cluster[cheapest],rect);
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}
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if (cheapestmerge1 >= 0) {
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include(cluster[cheapestmerge1], cluster[cheapestmerge2]);
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cluster[cheapestmerge2] = cluster[count--];
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} else {
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// if (!cheapest) debugRectangles(rect);
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include(cluster[cheapest],rect);
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}
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// NB: clusters do not intersect (or intersection will
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// overwrite). This is a result of the above algorithm,
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// given the assumption that (x,y) are ordered topleft
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// to bottomright.
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// NB: clusters do not intersect (or intersection will
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// overwrite). This is a result of the above algorithm,
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// given the assumption that (x,y) are ordered topleft
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// to bottomright.
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}
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const QRect& Clusterizer::operator[](int i)
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{
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return cluster[i];
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return cluster[i];
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}
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