int runSim(int a1, int a2, int a3){
BinaryHeap<Soldier> test;
test.buildSoldiers(a2, a3);
return test.events();
test.makeEmpty();
}
void execute_new_sell_order(MarketInstruction * mi) {
MarketInstruction * mostImportantBuyOrder = NULL;
while(buyOrders->size() > 0) {
if(mi->quantity == 0) break;
mostImportantBuyOrder = buyOrders->rootElem();
if(mi->price <= mostImportantBuyOrder->price) {
unsigned int quantity = min(mi->quantity, mostImportantBuyOrder->quantity);
mi->quantity -= quantity;
mostImportantBuyOrder->quantity -= quantity;
double price = mostImportantBuyOrder->price;
fill(quantity, price, mostImportantBuyOrder->id, mi->id, mi->targetAssetName);
if(mostImportantBuyOrder->quantity == 0) {
buyOrders->deleteRootElem();
free(mostImportantBuyOrder);
}
}
else
break;
}
if(mi->quantity > 0) {
rest_order(mi);
}
}
void removeElement(BinaryHeap<int> & h, int index){
cout<< "Removing the number a position " << index << " from the heap." <<endl;
int x = h.remove(index);
cout<< x << " was successfully removed."<<endl;
int size = h.size();
cout<<"The size of the heap is now: "<<size<<endl;
}
////////////////////////////////////////////////////////////////
// FINDING MINIMUM UNKNOWN DISTANCE //
////////////////////////////////////////////////////////////////
HeapObj Router::FindMinUnknown(BinaryHeap<HeapObj> &heap){
while(vArray[(heap.findMin()).index]->known)
{ //while the min vertex is unknown, we ignore it and keep popping
heap.deleteMin();
}
return heap.findMin();
}
void execute_new_cancel_instruction(MarketInstruction * mi) {
if(mi->typeOfOrder == MarketInstruction::Buy) {
buyOrders->deleteElemWithId(mi->id);
}
else {
sellOrders->deleteElemWithId(mi->id);
}
}
void Encoder::generateHuffmanTree(){
BinaryHeap<node<int> > heap;
node<int> nodes[256];
int numNodes = 0;
for(int i = 0; i < 256; i++)
if(freq[i] > 0 && i!= 10)
cout << i << " " << freq[i] << endl;
for(int i = 0; i < 256; i++){
if(freq[i]>0 && i!=10){
nodes[numNodes].probability = freq[i];
nodes[numNodes].internal = 0;
nodes[numNodes].value = i;
heap.insert(nodes[numNodes]);
numNodes++;
}
}
// nodes disappear after this...
for(int i = 0; i < numNodes; i++){
cout << nodes[i].probability << " " << (char)nodes[i].value << endl;
}
node<int> lnode, rnode;
node<int> parentNodes[300];
int treeNumber = 0;
while(heap.currentSize > 1) //while 2 or more elements in heap
{
heap.deleteMin(lnode);
heap.deleteMin(rnode);
cout << "Lnode = " << lnode.probability << " " << lnode.value << endl;
cout << "Rnode = " << rnode.probability << " " << rnode.value << endl;
parentNodes[treeNumber].internal = 1;
parentNodes[treeNumber].probability = lnode.probability + rnode.probability;
parentNodes[treeNumber].left = &lnode;
parentNodes[treeNumber].right = &rnode;
parentNodes[treeNumber].value = treeNumber;
cout << "Tree " << treeNumber+1 << " has weight: " << lnode.probability + rnode.probability << endl;
cout << "Left child: " << parentNodes[treeNumber].left->probability << " " << parentNodes[treeNumber].left->value << " Right child: " << parentNodes[treeNumber].right->probability << " " << parentNodes[treeNumber].right->value << endl << endl;
heap.insert(parentNodes[treeNumber]);
parentNodes[treeNumber].value = treeNumber++;
}
treeNumber--; // to take away last unneeded ++
//parentNodes[treeNumber--].returnCodes(parentNodes[treeNumber--]);
//returnCodes(&parentNodes[treeNumber--]);
returnCodes(&parentNodes[0]);
returnCodes(&parentNodes[1]);
returnCodes(&parentNodes[2]);
returnCodes(&parentNodes[3]);
}
void rest_order(MarketInstruction * mi) {
if(mi->type == MarketInstruction::Order) {
if(mi->typeOfOrder == MarketInstruction::Sell) {
sellOrders->insert(mi, mi->id);
}
else if(mi->typeOfOrder == MarketInstruction::Buy) {
buyOrders->insert(mi, mi->id);
}
}
}
int find_min_dist_id(BinaryHeap<HeapVt> & heap_vt, const vector<Vertex> & vt_path) {
HeapVt tmp_vt(-1, -1);
do{
if(heap_vt.isEmpty()) {
return -1;
}
heap_vt.deleteMin(tmp_vt);
}while(true == vt_path[tmp_vt.id].known);
return tmp_vt.id;
}
void addValuesInHeap(BinaryHeap<int> &h){
cout<<"Adding 3, 17, 92, 44, 2, and 13 to the binary heap"<<endl;
h.add(3);
h.add(17);
h.add(92);
h.add(44);
h.add(2);
h.add(13);
}
//getAlpha uses a binaryHeap to get the word I want alphabetized.
string getAlpha(string letters) {
BinaryHeap<char,char> getInOrder;
for (int i = 0; i < letters.length(); i++) {
getInOrder.insert(letters[i], letters[i]);
}
string alphaWord = "";
for (int j = 0; j < letters.length(); j++) {
alphaWord += getInOrder.removeMin();
}
return alphaWord;
}
//need this to compare two BinaryTreePtr Objects
//bool BinaryTreePtr::operator<(const BinaryTreePtr& b) const
//{
// return frequency < b.frequency;
//}
int main(int argc, char** argv)
{
ifstream inf(argv[1]);
char character;
//BinaryTreePtr p;
int ascii[256] = {};
int temp[256];
int counter = 0;
BinaryHeap <BinaryTreePtr> heap; //not sure what size
while (inf.get(character)) //reads each character as char
{
int num_char = (int)character; //casts char into int
ascii[num_char]++; //increments array based on asci
}
for (int j = 0; j < 256; j++)
{
if (ascii[j] != 0)
{
int freq = ascii[j];
heap.insert(BinaryTreePtr((char)j,ascii[j]));
}
}
while(!heap.isEmpty())
{
BinaryTreePtr min_1;
heap.deleteMin(min_1);
//cout << (char)min_1.asci_value << min_1.frequency << endl;
if (heap.isEmpty())
{
heap.insert(min_1);
break;
}
else
{
BinaryTreePtr min_2;
heap.deleteMin(min_2);
// cout << (char)min_2.asci_value << min_2.frequency << endl;
BinaryTreePtr parent;
int temp_freq = min_1.Node->getInfo() + min_2.Node->getInfo();
char temp_char = 'Y';
BinaryTreePtr Parent(temp_char, temp_freq, min_1.Node, min_2.Node);
heap.insert(Parent);
}
}
char* random = new char[500]();
int i = 0;
BinaryTreePtr last;
heap.deleteMin(last);
last.Node->print(random, i);
}
void Encoder::writeHeap(stringstream &out, BinaryHeap<HuffmanNode *> heap, int elements) const
{
out << elements; // store how many heap elements at beginning
HuffmanNode *node; // to store temporary node
while(!heap.isEmpty())
{
heap.deleteMin(node);
out << node->data;
out << node->frequency;
} // traverse the entire heap
return;
} // writeHeap()
void main(int argc, char* argv[])
{
Dijkstra* sPath = new Dijkstra();
Vertex* head = new Vertex(0,"v1");
//BUG: the comparison on the Vertex* will fail during insert/remove
BinaryHeap<Vertex*>* pQ = new BinaryHeap<Vertex*>();
pQ->Insert(head);
Vertex* current = pQ->RemoveMin();
sPath->ShortestPath(current, pQ);
getchar();
}
void Pathfinder::search()
{
init();
BinaryHeap openHeap;
mStart->g = 0;
mStart->h = manhattan(mStart, mGoal);
mStart->opened = true;
openHeap.push(mStart);
while (openHeap.size() > 0)
{
// Pop the node with the smallest f value
Node* currentNode = openHeap.pop();
// Check if we hit the target
if (currentNode == mGoal)
{
// Compute the path and exit
generatePath(currentNode);
return;
}
currentNode->closed = true;
std::vector<Node*> neighbors = getNeighborsAdjacentTo(currentNode);
for (int i = 0; i < neighbors.size(); i++)
{
Node* neighbor = neighbors[i];
if (neighbor->closed || neighbor->worldRef->getMaterial()->isCollidable())
continue;
int gScore = currentNode->g + 1;
if(!neighbor->opened || gScore < neighbor->g)
{
neighbor->g = currentNode->g + 1;
neighbor->h = manhattan(currentNode, neighbor);
neighbor->parent = currentNode;
neighbor->opened = true;
openHeap.push(neighbor);
}
}
}
}
int main() {
BinaryHeap<int> H;
cout << endl;
vector<int> list = {30,17,20,15,10,12,5,7,8,5,2,9};
for (int i : list)
{
H.insert(i);
}
H.printHeap();
cout << " .....Inserting 1,10,6,4...." << endl;
vector<int> list2 = {1,10,6,4};
for (int i : list2)
{
H.insert(i);
}
H.printHeap();
cout << " ......Performing 3 DeleteMin() ......" << endl;
for (int i = 0 ; i<3; i++ )
{
H.deleteMin();
}
H.printHeap();
cout << endl << H.HeapHeight();
//{30,17,20,15,10,12,5,7,8,5,2,9};
return 0;
}
void generate_Soldiers(BinaryHeap<soldier>& heap, int number_of_Spartans, int number_of_Persians, vector<int>& spartans, vector<int>& persians)
{
soldier newSoldier, minimum;
int faction_Selection, current_Spartans, current_Persians;
current_Spartans = 0, current_Persians = number_of_Spartans;
int timeValue = 0;
while((number_of_Spartans > 0 || number_of_Persians > 0) )
{
faction_Selection = rand() % 2;//Select from 1 to 0 for the faction
if(faction_Selection == 1 && (number_of_Spartans > 0)){
newSoldier.set_Faction(true);//Set the faction of our new soldier.
timeValue = rand() % 51 + 1;
newSoldier.set_actionTime(timeValue);
newSoldier.set_iD(current_Spartans);//Sets the iD to the current value of i. We will step through this i times, creating i soldiers.
spartans.push_back(current_Spartans);//The ID is pushed into the vector of soldiers.
current_Spartans++;
number_of_Spartans--;
heap.insert(newSoldier);//Insert our newly created soldier
}
else if(faction_Selection == 0 && (number_of_Persians > 0)){
newSoldier.set_Faction(false);
timeValue = rand() % 900 + 51;
newSoldier.set_actionTime( timeValue );
newSoldier.set_iD(current_Persians);//Sets the iD to the current value of i. We will step through this i times, creating i soldiers.
persians.push_back(current_Persians);
current_Persians++;
number_of_Persians--;
heap.insert(newSoldier);//Insert our newly created soldier
}
}
}
//Will pick a soldier from our remaining soldiers alive.
//
void processTurn(BinaryHeap<soldier>& heap, vector<int>& soldiers, int& remaining_Soldiers)
{
int position_of_Soldier;
if(remaining_Soldiers == 1) position_of_Soldier = 0;//A condition to ensure kill a soldier is not called when only one soldier is left
else position_of_Soldier = rand() % remaining_Soldiers;
bool target_Condition;
soldier nextUp = heap.findMin(); //Return the smallest value; our next up.
target_Condition = heap.interact_with_Soldier(nextUp.return_Faction(), soldiers[position_of_Soldier]);//False if alive, true if killed
if(target_Condition && nextUp.return_Faction() ) kill_a_Soldier(soldiers, remaining_Soldiers, position_of_Soldier);//Will removed the soldier if dead.
else if(target_Condition && !(nextUp.return_Faction()) ) {//Will invigorate if a soldier is killed, AND the soldier target was a Persian
kill_a_Soldier(soldiers, remaining_Soldiers, position_of_Soldier);//Remove the soldier as per usual
invigorate(heap, soldiers, remaining_Soldiers);//function invigorate will go through the entire array to invigorate soldiers.
}
}
void invigorate(BinaryHeap<soldier>& heap, vector<int>& soldiers, int remaining_Soldiers)
//Stepping through all remaining soldiers, we randomly subtract a small value to allow them to act faster.
{
int currentSoldier, delta;
if(remaining_Soldiers == 0){//We cannot invigorate an array of dead soldiers.
return;
}
for(int i = 0; i < remaining_Soldiers; i++)
{
soldier current = heap.find_by_ID(i);
currentSoldier = soldiers[i];
delta = (rand() % 2 + 1);//determine a random amount to decrease by
heap.decrease_by_iD(currentSoldier, delta);//Manipulate our current heap so that spartans act a little quicker.
}
}
bool SetCoveringSolution::greedyCover() {
if(coveredRows == SetCoveringDecoder::nrows) { return false; }
// Initialize heap with columnCount values:
BinaryHeap< double >* heap = new BinaryHeap< double >(SetCoveringDecoder::ncolumns);
for(unsigned j = 0; j < SetCoveringDecoder::ncolumns; ++j) {
if(rowsCoveredByCol[j] > 0) {
heap->insert(j, - double(rowsCoveredByCol[j] / SetCoveringDecoder::columnCosts[j]));
}
}
while(coveredRows < SetCoveringDecoder::nrows) {
const unsigned greedyCol = heap->extractMin(); // Get best column from heap
openColumn(greedyCol, &heap); // Open it
}
delete heap;
return isFeasible();
}
int main(int argc, char **argv) {
BinaryHeap<int> testHeap;
std::string input;
std::string numbers = "0123456789";
std::cout << "Input vals to add to BinaryHeap (val1 val2 val3 val4 ... end)\n";
while (std::cin >> input)
{
// if 'std::String::find_first_not_of' doesnt find anything, then it outputs max_int (long int)
// since any num higher than 1 will be set to true, add 1 to max int to start at 0(false)
if (input.find_first_not_of(numbers)+1 ) {
if (input == "end")
{
break;
}
else
{
std::cerr << input << " not recognized\n";
continue;
}
} // end if
int num = std::atoi(input.c_str()); // transform string into number, would have normally use boost::lexical_cast though
testHeap.insert(num);
}
std::cout << "Input vals to remove from BinaryHeap (val1 val2 val3 val4 ... end)\n";
while (std::cin >> input)
{
// if 'std::String::find_first_not_of' doesnt find anything, then it outputs max_int (long int)
// since any num higher than 1 will be set to true, add 1 to max int to start at 0(false)
if (input.find_first_not_of(numbers)+1 ) {
if (input == "end")
break;
else
{
std::cerr << input << " not recognized\n";
continue;
}
} // end if
int num = std::atoi(input.c_str());
testHeap.removeKey(num);
}
std::cerr << "\n";
while (!testHeap.isEmpty())
{
std::cerr << testHeap.findMin() << " ";
testHeap.deleteMin();
}
std::cerr << "\n";
return 0;
}
int main() {
srand(time(NULL));
BinaryHeap<int> heap;
ArrayStack<int> randList;
for(int i = 0; i <= 1000; i++){
int rando = rand() % 10000 + 1;
randList.add(rando);
}
for(int i = 0; i < 1000; i++){
heap.add(randList.get(i));
if(heap.checkHeap()){
//cout << "Heap Conditions Met..." << endl;
}
else{
cout << "Heap Conditions NOT Met!" << endl;
cout << randList.get(i) << endl;
cout << i;
return 0;
}
}
int n = 1000;
for(int i = 0; i <= 100; i++){
int rando = rand() % n + 1;
heap.remove(rando);
if(heap.checkHeap()){
cout << "Heap Conditions Met..." << endl;
}
else{
cout << "Heap Conditions NOT Met!" << endl;
return 0;
}
n--;
}
cout << "Heap Conditions Were Met On All Removes. Great Success!" << endl;
return 0;
}
void insertFromFile (BinaryHeap<Comparable> & bh, string fileName = string("input.txt"))
{
ifstream ifs(fileName.c_str());
string temp, word;
if (ifs) // make sure file is open
while (getline(ifs, temp))
{
stringstream ss(temp);
while (ss >> word)
bh.insert(word); // insert every word in file
}
else
int main(int argc, char *argv[]) {
std::vector<int> v { 10, 22, 32, 11, 23, 23, 100, 1, 0 };
BinaryHeap<double> *binaryHeap = new BinaryHeap<double>(15);
binaryHeap->insert(10);
binaryHeap->insert(1);
binaryHeap->insert(3);
binaryHeap->insert(1);
binaryHeap->insert(2);
binaryHeap->insert(3);
binaryHeap->insert(33);
binaryHeap->insert(0);
binaryHeap->display();
return 0;
}
/**
* Main function
*/
int main(int argc, char** argv){
BinaryHeap <char> bheap;
bheap.insert('X');
bheap.insert('Y');
bheap.insert('A');
bheap.insert('R');
bheap.insert('Z');
bheap.delete_top();
bheap.print_heap();
return 0;
}
/*
* Main Contains Menu
*/
int main()
{
BinaryHeap h;
while (1)
{
cout<<"------------------"<<endl;
cout<<"Operations on Heap"<<endl;
cout<<"------------------"<<endl;
cout<<"1.Insert Element"<<endl;
cout<<"2.Delete Minimum Element"<<endl;
cout<<"3.Extract Minimum Element"<<endl;
cout<<"4.Print Heap"<<endl;
cout<<"5.Exit"<<endl;
int choice, element;
cout<<"Enter your choice: ";
cin>>choice;
switch(choice)
{
case 1:
cout<<"Enter the element to be inserted: ";
cin>>element;
h.Insert(element);
break;
case 2:
h.DeleteMin();
break;
case 3:
cout<<"Minimum Element: ";
if (h.ExtractMin() == -1)
{
cout<<"Heap is Empty"<<endl;
}
else
cout<<"Minimum Element: "<<h.ExtractMin()<<endl;
break;
case 4:
cout<<"Displaying elements of Hwap: ";
h.DisplayHeap();
break;
case 5:
exit(1);
default:
cout<<"Enter Correct Choice"<<endl;
}
}
return 0;
}
void Encoder::getHeap(const unsigned char *message, const int size,
BinaryHeap<HuffmanNode *> &heap, int &elements) const
{
unsigned int frequency[256] = {0};
for (int i = 0; i < size; i++)
{
frequency[message[i]]++;
} // for each character
for (int chars = 0; chars < 256; chars++)
{
if (frequency[chars] != 0)
{
elements++; // to keep track of how large BHeap is
HuffmanNode *ins = new HuffmanNode((unsigned char)chars, frequency[chars]);
heap.insert(ins);
} // if character is in file, add to heap
} // for freqlist
return;
} // getHeap()
void repeatedBackwardAStar(bool** maze, int size, State* start, State* goal){
int counter = 0;
State** S = new State*[size];
for (int i = 0; i < size; i++){
S[i] = new State[size];
}
for (int r = 0; r < size; r++){
for (int c = 0; c < size; c++){
S[r][c].row = r;
S[r][c].col = c;
S[r][c].search = 0;
}
}
while (!compareStatePos(start, goal)){
counter = counter + 1;
S[start->row][start->col].g = INF;
S[start->row][start->col].search = counter;
S[goal->row][goal->col].g = 0;
S[goal->row][goal->col].h = manhattanDistance(start, goal);
S[goal->row][goal->col].f = goal->g + goal->h;
S[goal->row][goal->col].search = counter;
BinaryHeap OPEN;
list<State> CLOSED;
// watch 4 states around the start state to update cost, if any
if (start->row > 0 && !maze[start->row - 1][start->col]){
updateCostToInf(S, size, start->row - 1, start->col);
}
if (start->row< size - 1 && !maze[start->row + 1][start->col]){
updateCostToInf(S, size, start->row + 1, start->col);
}
if (start->col > 0 && !maze[start->row][start->col - 1]){
updateCostToInf(S, size, start->row, start->col - 1);
}
if (start->col < size - 1 && !maze[start->row][start->col + 1]){
updateCostToInf(S, size, start->row, start->col + 1);
}
OPEN.insert(S[goal->row][goal->col]);
computePath(S, maze, start, &OPEN, &CLOSED, counter, size, false);
if (OPEN.size() == 0){
cout << "I cannot reach the target\n";
// clean up
for (int i = 0; i < size; i++){
delete[] S[i];
}
delete[] S;
return;
}
// follow the tree-pointers from sstart to sgoal
//stack<coord> path;
coord current;
current.row = start->row;
current.col = start->col;
//path.push(curCoord);
while (current.row != goal->row || current.col != goal->col){
int curRow = current.row;
int curCol = current.col;
// watch 4 states around this current state to update cost, if any
if (current.row > 0 && !maze[current.row - 1][current.col]){
updateCostToInf(S, size, current.row - 1, current.col);
}
if (current.row < size - 1 && !maze[current.row + 1][current.col]){
updateCostToInf(S, size, current.row + 1, current.col);
}
if (current.col > 0 && !maze[current.row][current.col - 1]){
updateCostToInf(S, size, current.row, current.col - 1);
}
if (current.col < size - 1 && !maze[current.row][current.col + 1]){
updateCostToInf(S, size, current.row, current.col + 1);
}
coord next;
next.row = S[curRow][curCol].treeRow;
next.col = S[curRow][curCol].treeCol;
int dir = direction(¤t, &next);
cout << "\tTried to move to: (" << next.row << ", " << next.col << ")... ";
if (S[current.row][current.col].cost[dir] > 1){
cout << "BLOCKED" << endl;
start = &S[current.row][current.col];
break;
}
cout << "OK! Moved start to: (" << next.row << ", " << next.col << ")" << endl;
current = next;
}
start = &S[current.row][current.col];
}
cout << "I reached the target" << endl;
// clean up
for (int i = 0; i < size; i++){
delete[] S[i];
}
delete[] S;
}
float FindBestScore ( int iCountdown, float fCurrentScore, float fInputBestSoFar,
//WORD *pwIndices,
ScoreTri **ppstCurTris, // Pointer to a list of pointers to ScoreTris
int iNumTris, WORD *pwResult )
{
int iLookahead = iCountdown;
if ( iLookahead > LOOKAHEAD )
{
iLookahead = LOOKAHEAD;
}
//VERIFY ( fCurrentScore < 1e9 );
// At the start, limit the lookahead, or it takes ages.
if ( ( iNumTris > 100 ) && ( fCurrentScore < 50.0f ) && ( iLookahead > 2 ) )
{
iLookahead = 2;
}
float fBestSoFar = fInputBestSoFar;
// Given the BestSoFar score, what is the average cost of each lookahead tri?
float fAverageCost = ( fBestSoFar - fCurrentScore ) / (int)iLookahead;
// And now allow tris that are a bit worse.
float fExpensiveCutoff = fAverageCost * fExpensiveFactor;
VERIFY ( iCountdown > 0 );
VERIFY ( iNumTris > 0 );
int j;
if ( iNumTris == 1 )
{
// Well, that's an easy decision then.
// Find score after removal.
//float fTriScore = CacheAddTri ( pwIndices[0], pwIndices[1], pwIndices[2], TRUE );
ScoreTri *pstCur = ppstCurTris[0];
float fTriScore = CacheAddTri ( pstCur->wIndex[0], pstCur->wIndex[1], pstCur->wIndex[2], TRUE );
for ( j = 0; j < 3; j++ )
{
// Use the valence score after the tri has been removed.
//int iValence = (*(iValenceCounts.item(pwIndices[j]))) - 1;
int iValence = (svVertex.item(pstCur->wIndex[j])->iCurrentValence) - 1;
VERIFY ( iValence >= 0 );
if ( iValence < c_iMaxValenceBoost )
{
fTriScore += fValenceBoost[iValence];
}
else
{
fTriScore += fValenceBoost[c_iMaxValenceBoost-1];
}
}
fTriScore += fCurrentScore;
//pwResult[0] = pwIndices[0];
//pwResult[1] = pwIndices[1];
//pwResult[2] = pwIndices[2];
pwResult[0] = pstCur->wIndex[0];
pwResult[1] = pstCur->wIndex[1];
pwResult[2] = pstCur->wIndex[2];
if ( fTriScore > fBestSoFar )
{
// Oh well.
// (actually, not sure this ever happens).
return fInputBestSoFar;
}
else
{
return fTriScore;
}
}
#ifdef _DEBUG
for ( int k = 0; k < iNumTris; k++ )
{
VERIFY ( !ppstCurTris[k]->bAllowed );
VERIFY ( !ppstCurTris[k]->bUsed );
}
#endif
// Should we limit ourselves to tris that share at least one vert with the previous one?
bool bNoMadJumps = FALSE;
WORD wPrevIndices[3];
//if ( ( fBestSoFar - fCurrentScore ) < (float)iCountdown )
// The lookahead score is lower than the countdown, so doing mad jumps
// is not going to do sensible things.
if ( iCountdown == iLookahead )
{
// Ah - this is probably a lookahead, not assembling the real list.
// Find the previous indices from the cache (a bit of a roundabout method).
int iNumAllowed = 0;
if ( CacheGetLastTri ( wPrevIndices ) )
{
bNoMadJumps = TRUE;
// And mark all the tris that these used as "allowed"
for ( int i = 0; i < 3; i++ )
{
ScoreVertex *psv = svVertex.item(wPrevIndices[i]);
for ( int j = 0; j < psv->stri.size(); j++ )
{
ScoreTri *pst = (*(psv->stri.item(j)));
if ( ( !pst->bUsed ) && ( !pst->bAllowed ) )
{
pst->bAllowed = TRUE;
iNumAllowed++;
}
}
}
if ( iNumAllowed < 1 )
{
// Oops - we've probably gone into a dead-end, so that very few tris
// are allowed. So open the selection up again.
bNoMadJumps = FALSE;
for ( int i = 0; i < 3; i++ )
{
ScoreVertex *psv = svVertex.item(wPrevIndices[i]);
for ( int j = 0; j < psv->stri.size(); j++ )
{
ScoreTri *pst = (*(psv->stri.item(j)));
if ( !pst->bUsed )
{
pst->bAllowed = FALSE;
}
}
}
}
}
}
// Add the tris to a new priority queue, sorting by score.
//BinaryHeap<WORD, float> NewHeap;
BinaryHeap<ScoreTri*, float> NewHeap;
int i;
//WORD *pwCurIndex = pwIndices;
for ( i = 0; i < iNumTris; i++ )
{
ScoreTri *pstCurTri = ppstCurTris[i];
float fTriScore = 0.0f;
if ( bNoMadJumps )
{
if ( !pstCurTri->bAllowed )
{
continue;
}
#if IGNORE_VALENCE_FOR_LOOKAHEADS
// Only use the valence stuff on non-lookaheads.
// To make the scores comparable, add the maximum valence boost all the time.
fTriScore += 3.0f * fValenceBoost[c_iMaxValenceBoost-1];
#endif
}
#if IGNORE_VALENCE_FOR_LOOKAHEADS
else
#endif
{
// Only use the valence stuff on non-lookaheads.
for ( j = 0; j < 3; j++ )
{
// Use the valence score after the tri has been removed.
//int iValence = (*(iValenceCounts.item(pwCurIndex[j]))) - 1;
int iValence = (svVertex.item(pstCurTri->wIndex[j])->iCurrentValence) - 1;
VERIFY ( iValence >= 0 );
if ( iValence < c_iMaxValenceBoost )
{
fTriScore += fValenceBoost[iValence];
}
else
{
fTriScore += fValenceBoost[c_iMaxValenceBoost-1];
}
}
}
if ( fTriScore > fExpensiveCutoff )
{
// This tri is a lot more expensive than the average cost of the BestSoFar tris.
// It's very unlikely to give us a good result.
continue;
}
if ( fCurrentScore + fTriScore >= fBestSoFar )
{
// We've already gone more than the best score.
//pwCurIndex += 3;
continue;
}
// And the vertex cost.
fTriScore += CacheAddTri ( pstCurTri->wIndex[0], pstCurTri->wIndex[1], pstCurTri->wIndex[2], TRUE );
if ( fTriScore > fExpensiveCutoff )
{
// This tri is a lot more expensive than the average cost of the BestSoFar tris.
// It's very unlikely to give us a good result.
continue;
}
if ( fCurrentScore + fTriScore >= fBestSoFar )
{
// We've already gone more than the best score.
//pwCurIndex += 3;
continue;
}
// And bung it in the heap.
// We -ve the score so that the first in the heap is the one with the _least_ score.
NewHeap.Add ( &(ppstCurTris[i]), -fTriScore );
//pwCurIndex += 3;
}
// Undo the "allowed" flags.
if ( bNoMadJumps )
{
for ( int i = 0; i < 3; i++ )
{
ScoreVertex *psv = svVertex.item(wPrevIndices[i]);
for ( int j = 0; j < psv->stri.size(); j++ )
{
(*(psv->stri.item(j)))->bAllowed = FALSE;
}
}
}
#ifdef _DEBUG
for ( k = 0; k < iNumTris; k++ )
{
VERIFY ( !ppstCurTris[k]->bAllowed );
VERIFY ( !ppstCurTris[k]->bUsed );
}
#endif
// Now extract from the heap, best score to worst.
// This attempts to get early-outs very quickly and prevent too much recursion.
//WORD *pwBest = NULL;
//WORD *pwCur = NewHeap.FindFirst();
ScoreTri **ppstBest = NULL;
ScoreTri **ppstCur = NewHeap.FindFirst();
//if ( pwCur == NULL )
if ( ppstCur == NULL )
{
// Found nothing that was better.
return fBestSoFar;
}
// Above this score, just don't bother.
float fCutoffScore = fCutoffFactor * NewHeap.GetCurrentSort();
#ifdef _DEBUG
float fPrevScore = 1.0f;
#endif
int iTried = 0;
//while ( pwCur != NULL )
while ( ppstCur != NULL )
{
ScoreTri *pstCur = *ppstCur;
float fThisTriNegScore = NewHeap.GetCurrentSort();
NewHeap.RemoveFirst();
#ifdef _DEBUG
// Check this heap actually works!
VERIFY ( fThisTriNegScore <= fPrevScore );
fPrevScore = fThisTriNegScore;
#endif
if ( fThisTriNegScore < fCutoffScore )
{
// Reached the cutoff for this tri - don't bother continuing.
break;
}
float fScore = fCurrentScore - fThisTriNegScore;
if ( fScore >= fBestSoFar )
{
// We've already gone more than the best score.
// The reast of the heap is bound to be greater, so don't bother continuing.
break;
}
if ( bNoMadJumps )
{
iTried++;
if ( iTried > iLookaheadCutoff )
{
// Tried enough tris - don't want to cause a combinatorial explosion.
break;
}
}
// Do the valencies.
#ifdef _DEBUG
float fValenceScore = 0.0f;
#endif
#if IGNORE_VALENCE_FOR_LOOKAHEADS
if ( bNoMadJumps )
{
// Only use the valence stuff on non-lookaheads.
// To make the scores comparable, add the maximum valence boost all the time.
fValenceScore = 3.0f * fValenceBoost[c_iMaxValenceBoost-1];
}
else
#endif
{
for ( j = 0; j < 3; j++ )
{
//int iValence = --(*(iValenceCounts.item(pwCur[j])));
int iValence = --(svVertex.item(pstCur->wIndex[j])->iCurrentValence);
#ifdef _DEBUG
VERIFY ( iValence >= 0 );
if ( iValence < c_iMaxValenceBoost )
{
fValenceScore += fValenceBoost[iValence];
}
else
{
fValenceScore += fValenceBoost[c_iMaxValenceBoost-1];
}
#endif
}
}
// Add it to the cache.
float fScoreTemp = CacheAddTri ( pstCur->wIndex[0], pstCur->wIndex[1], pstCur->wIndex[2] );
VERIFY ( !pstCur->bUsed );
pstCur->bUsed = TRUE;
#ifdef _DEBUG
fScoreTemp += fValenceScore;
VERIFY ( fabs ( fScoreTemp + fThisTriNegScore ) < 0.0001f );
#endif
if ( iLookahead > 1 )
{
// Swap pwCur to the start of the list.
#if 0
WORD wTemp0 = pwCur[0];
WORD wTemp1 = pwCur[1];
WORD wTemp2 = pwCur[2];
pwCur[0] = pwIndices[0];
pwCur[1] = pwIndices[1];
pwCur[2] = pwIndices[2];
//pwIndices[0] = wTemp0;
//pwIndices[1] = wTemp1;
//pwIndices[2] = wTemp2;
#else
ScoreTri *pstTemp = *ppstCur;
*ppstCur = *ppstCurTris;
//*ppstCurTris = pstTemp;
#endif
//VERIFY ( fScore < 1e9 );
// And look ahead a bit more.
//fScore = FindBestScoreLookahead ( iLookahead - 1, fScore, fBestSoFar, pwIndices + 3, iNumTris - 1, pwResult + 3 );
float fNewScore = FindBestScoreLookahead ( iLookahead - 1, fScore, fBestSoFar, iNumTris - 1, pwResult + 3 );
//VERIFY ( fNewScore < 1e9 );
fScore = fNewScore;
#if 0
// And swap it back.
//wTemp0 = pwIndices[0];
//wTemp1 = pwIndices[1];
//wTemp2 = pwIndices[2];
pwIndices[0] = pwCur[0];
pwIndices[1] = pwCur[1];
pwIndices[2] = pwCur[2];
pwCur[0] = wTemp0;
pwCur[1] = wTemp1;
pwCur[2] = wTemp2;
#else
//pstTemp = *ppstCurTris;
*ppstCurTris = *ppstCur;
*ppstCur = pstTemp;
#endif
}
//VERIFY ( fScore < 1e9 );
if ( fScore < fBestSoFar )
{
fBestSoFar = fScore;
//pwBest = pwCur;
ppstBest = ppstCur;
}
CacheRemoveTri();
VERIFY ( pstCur->bUsed );
pstCur->bUsed = FALSE;
#if IGNORE_VALENCE_FOR_LOOKAHEADS
if ( !bNoMadJumps )
#endif
{
// Restore the valencies.
for ( j = 0; j < 3; j++ )
{
//++(*(iValenceCounts.item(pwCur[j])));
++(svVertex.item(pstCur->wIndex[j])->iCurrentValence);
}
}
//pwCur = NewHeap.FindFirst();
ppstCur = NewHeap.FindFirst();
}
VERIFY ( ppstBest != NULL );
{
// Found a better solution.
// Swap the best tri to the start of the list.
float fNewBestScore = fBestSoFar;
// Dump the tri to the result buffer.
ScoreTri *pstBest = *ppstBest;
//pwResult[0] = pwBest[0];
//pwResult[1] = pwBest[1];
//pwResult[2] = pwBest[2];
pwResult[0] = pstBest->wIndex[0];
pwResult[1] = pstBest->wIndex[1];
pwResult[2] = pstBest->wIndex[2];
if ( iCountdown > 1 )
{
#if 0
WORD wTemp[3];
wTemp[0] = pwBest[0];
wTemp[1] = pwBest[1];
wTemp[2] = pwBest[2];
pwBest[0] = pwIndices[0];
pwBest[1] = pwIndices[1];
pwBest[2] = pwIndices[2];
#else
ScoreTri *pTemp;
pTemp = *ppstBest;
*ppstBest = *ppstCurTris;
#endif
//float fScore = CacheAddTri ( wTemp[0], wTemp[1], wTemp[2] );
float fScore = CacheAddTri ( pstBest->wIndex[0], pstBest->wIndex[1], pstBest->wIndex[2] );
VERIFY ( !pstBest->bUsed );
pstBest->bUsed = TRUE;
// And the valence.
float fValenceScore = 0.0f;
#if IGNORE_VALENCE_FOR_LOOKAHEADS
//if ( !bNoMadJumps )
#endif
{
for ( j = 0; j < 3; j++ )
{
//int iValence = --(*(iValenceCounts.item(wTemp[j])));
int iValence = --(svVertex.item(pstBest->wIndex[j])->iCurrentValence);
VERIFY ( iValence >= 0 );
if ( iValence < c_iMaxValenceBoost )
{
fValenceScore += fValenceBoost[iValence];
}
else
{
fValenceScore += fValenceBoost[c_iMaxValenceBoost-1];
}
}
}
fScore += fValenceScore + fCurrentScore;
#ifdef DEBUG
//. TRACE ( "Countdown %i\n", iCountdown );
#endif
#if ALLOW_PROGRESS_BARS
if ( g_hProgress2 != NULL )
{
// Step one.
SendMessage ( g_hProgress2, PBM_STEPIT, 0, 0 );
}
#endif
//VERIFY ( fScore < 1e9 );
//fNewBestScore = FindBestScore ( iCountdown - 1, fScore, 1e10, pwIndices + 3, iNumTris - 1, pwResult + 3 );
fNewBestScore = FindBestScore ( iCountdown - 1, fScore, 1e10, ppstCurTris + 1, iNumTris - 1, pwResult + 3 );
//VERIFY ( fNewBestScore < 1e9 );
CacheRemoveTri();
VERIFY ( pstBest->bUsed );
pstBest->bUsed = FALSE;
// Restore the valencies.
#if IGNORE_VALENCE_FOR_LOOKAHEADS
//if ( !bNoMadJumps )
#endif
{
for ( j = 0; j < 3; j++ )
{
//++(*(iValenceCounts.item(wTemp[j])));
++(svVertex.item(pstBest->wIndex[j])->iCurrentValence);
}
}
// And swap it back.
#if 0
pwIndices[0] = pwBest[0];
pwIndices[1] = pwBest[1];
pwIndices[2] = pwBest[2];
pwBest[0] = wTemp[0];
pwBest[1] = wTemp[1];
pwBest[2] = wTemp[2];
#else
*ppstCurTris = *ppstBest;
*ppstBest = pTemp;
#endif
}
return fNewBestScore;
}
}
static void test_heap(const T* data, unsigned data_size, const T* sorted_data,
const T* to_remove, unsigned removed_size, const T* sorted_after_remove,
const T& not_in_heap) {
BinaryHeap<T, Compare> heap;
const size_t initial_capacity = data_size / 2, grow_capacity = (data_size * 3) / 2, alignment = 4;
UAllocTraits_t traits = {0};
TEST_ASSERT_TRUE(heap.init(initial_capacity, grow_capacity, traits, alignment));
// Fill the heap with data
for (unsigned i = 0; i < data_size; i++) {
heap.insert(data[i]);
TEST_ASSERT_TRUE(heap.is_consistent());
}
TEST_ASSERT_EQUAL(data_size, heap.get_num_elements());
// Remove and check root at each step
for (unsigned i = 0; i < data_size; i ++) {
T root = heap.get_root();
TEST_ASSERT_TRUE(root == sorted_data[i]);
heap.remove_root();
TEST_ASSERT_TRUE(heap.is_consistent());
}
TEST_ASSERT_TRUE(heap.is_empty());
// Put everything back again
for (unsigned i = 0; i < data_size; i++) {
heap.insert(data[i]);
TEST_ASSERT_TRUE(heap.is_consistent());
}
TEST_ASSERT_EQUAL(data_size, heap.get_num_elements());
// And check removing
for (unsigned i = 0; i < removed_size; i ++) {
TEST_ASSERT_TRUE(heap.remove(to_remove[i]));
TEST_ASSERT_TRUE(heap.is_consistent());
}
TEST_ASSERT_TRUE(!heap.remove(not_in_heap)); // this element is not in the heap
TEST_ASSERT_EQUAL(data_size - removed_size, heap.get_num_elements());
// Remove and check root at each step
for (unsigned i = 0; i < data_size - removed_size; i ++) {
T root = heap.pop_root();
TEST_ASSERT_TRUE(root == sorted_after_remove[i]);
TEST_ASSERT_TRUE(heap.is_consistent());
}
TEST_ASSERT_TRUE(heap.is_empty());
TEST_ASSERT_EQUAL(0, heap.get_num_elements());
}
void getSize(BinaryHeap<int> &h){
int size = h.size();
cout<<"The size of the heap is: " << size<< endl;
}