// 测试堆
void TestHeap()
{
Heap<int, greater<int>> heap;
heap.Push(3);
heap.Push(5);
heap.Push(1);
heap.Push(4);
heap.Push(5);
heap.Push(1);
heap.Push(8);
while (!heap.Empty())
{
cout<<heap.Top()<<" ";
heap.Pop();
}
cout<<endl;
//int array[10] = {9,1,3,5,6,7,8,0,2,4};
int array[10] = {10,16,18,12,11,13,15,17,14,19};
Heap<int> heap1(array, 10);
while (!heap1.Empty())
{
cout<<heap1.Top()<<" ";
heap1.Pop();
}
cout<<endl;
}
HuffmanTree(const T *a, size_t n)
{
struct NodeCompare
{
bool operator() (const Node *left, const Node *right)
{
return (left->_weight) <( right->_weight);
}
};
Heap<Node*, NodeCompare> minHeap;
for (size_t i = 0; i < n; ++i)
{
minHeap.Push(new Node(a[i]));
}
while (minHeap.Size() > 1)
{
Node *left = minHeap.Top();
minHeap.Pop();
Node *right = minHeap.Top();
minHeap.Pop();
Node *parent = new Node(left->_weight + right->_weight);
parent->_left = left;
parent->_right = right;
minHeap.Push(parent);
}
_root = minHeap.Top();
}
void Dijkstra::Solve_distance()
{
weighted_vertex wt = {0,0,0};
heap.Push(wt);
s1 = "0" + s1;
s2 = "0" + s2;
while (!heap.Empty())
{
weighted_vertex top = heap.top();
vertex now_top = top.v;
if (now_top.y + 1 < s2.length() && s1[now_top.x] != s2[now_top.y + 1])
{
vertex temp = now_top;
temp.y++;
weighted_vertex wt;
wt.w = Add_potential(now_top, temp, top.w + 1);
wt.v = temp;
heap.Push(wt);
}
if (now_top.x + 1 < s1.length() && s1[now_top.x + 1] != s2[now_top.y])
{
vertex temp = now_top;
temp.x++;
weighted_vertex wt;
wt.w = Add_potential(now_top, temp, top.w + 1);
wt.v = temp;
heap.Push(wt);
}
if (now_top.x + 1 < s1.length() && now_top.y + 1 < s2.length())
{
int weight = 0;
if (s1[now_top.x + 1] != s2[now_top.y + 1]) weight = 1;
vertex temp = now_top;
temp.x++;
temp.y++;
weighted_vertex wt;
wt.w = Add_potential(now_top, temp, top.w + 1);
wt.v = temp;
heap.Push(wt);
}
if (now_top.x == (int)s1.length() - 1 && now_top.y == (int)s2.length() - 1)
{
vertex t = {0,0};
answer = Delete_potentials(t, now_top, top.w);
break;
}
}
}
Node* CreateTree(const T*a, size_t size, const T&invalid)
{
Heap<Node*, Less<Node*>> minHeap;
for (size_t i = 0; i < size; ++i)
{
if (a[i] != invalid)
{
Node* tmp = new Node(a[i]);
minHeap.Push(tmp);
}
}
while (!minHeap.empty())
{
Node* left = minHeap.Top();
minHeap.Pop();
Node* right = NULL;
if (!minHeap.empty())
{
right = minHeap.Top();
minHeap.Pop();
}
Node* parent = NULL;
if (right)
{
parent = new Node(left->_weight + right->_weight);
}
else
{
parent = new Node(left->_weight);
}
parent->_left = left;
parent->_right = right;
if (minHeap.empty())
{
return parent;
}
minHeap.Push(parent);
}
return NULL;
}
HuffmanTree(T *arr, int len)
{
Heap<HTNode* > hp;
for(int i = 0; i < len; ++i)
{
if(arr[i]._count == 0) //arr[i]->_weight._ch 该字符没有出现过
continue;
hp.Push(new HTNode(arr[i])); //创建一个新的树节点，插入到堆中
}
_root = CreateTree(hp);
}
void RollModel::Roll(int min, int max, int times)
{
struct occurrence_t{
int value;
uint count;
bool operator < (const occurrence_t &o) const{
return count > o.count ||
(count == o.count && value < o.value);
}
};
beginResetModel();
m_data.resize(times);
m_total = 0;
m_min = GINT32_MAX;
m_max = GINT32_MIN;
m_mode.clear();
m_modeCount = 0;
m_mean = 0.0;
m_median = 0.0;
QHash<int, uint> occurrences;
for(int i = 0; i < times; i++){
int X = m_rng.U_Discrete(min, max);
m_data[i] = X;
m_total += X;
if(X < m_min)
m_min = X;
if(X > m_max)
m_max = X;
if(occurrences.contains(X))
occurrences[X]++;
else
occurrences.insert(X, 1);
}
m_mean = (double)m_total/times;
// Compute the median
vector<int> sorted_data = m_data;
std::sort(sorted_data.begin(), sorted_data.end());
int median_index = sorted_data.size() / 2;
int val1 = sorted_data[median_index];
int val2 = (sorted_data.size() & 1) ? val1 : sorted_data[median_index - 1];
m_median = ((double)val1 + val2) / 2;
// Compute the mode (using heap sort)
Heap<occurrence_t> heap;
for(int k : occurrences.keys())
heap.Push({k, occurrences[k]});
if(heap.Count()){
occurrence_t *t = heap.Top();
uint mode_count = t->count;
int cnt = 0;
vector<int> tmp_mode;
while(t && (mode_count == t->count)){
tmp_mode.push_back(t->value);
heap.Pop();
t = heap.Top();
cnt++;
}
// If every item is the mode, then there is no mode
if(cnt < occurrences.keys().count()){
m_modeCount = mode_count;
m_mode = tmp_mode;
}
}
endResetModel();
}
std::vector<Aresta *> Grafo::Kruskal() {
std::vector<Aresta *> retorno;
//so faz se nao eh direcionado
if (!this->Direcionado()) {
//conjunto de vertices e ranks
std::vector<int> ranks;
//inicializa conjunto de vertices e ranks
Heap * nHeap;
int tamHeapMax = 0;
conjKruskal.clear();
ranks.clear();
for (int i = 0; i < tamGrafo; i++) {
this->conjKruskal.push_back(i);
ranks.push_back(1);
for (int j =0; j < tamGrafo; j++)
if (this->Conexao(i,j))
tamHeapMax++;
}
nHeap = new Heap(tamHeapMax);
nHeap->SetTipo(MINIMO);
for (int i = 0; i < tamGrafo; i++) {
for (int j =i; j < tamGrafo; j++) {
if (this->Conexao(i,j)) {
Aresta * nAresta = new Aresta(*this->GetVertice(i).GetAresta(j));
nHeap->Push(nAresta);
}
}
}
//nHeap->ListaHeap();
int id1;
int id2;
int id1tmp;
int id2tmp;
std::vector<Aresta *> lArestas;
while(nHeap->GetTamHeap() > 0 ) {
Aresta * cAresta = nHeap->Pop();
id1 = cAresta->GetId1();
id2 = cAresta->GetId2();
//cout << "id1: " << id1 << " id2:" << id2 << endl;
if ((id1tmp = this->BuscaKruskal(id1)) != (id2tmp = BuscaKruskal(id2))) {
//cout << "conjuntos diferentes: " << "id1: " << this->BuscaKruskal(id1) << " id2: " << this->BuscaKruskal(id2) << endl;
retorno.push_back(cAresta);
if (ranks[id1tmp] != ranks[id2tmp]) {
int maior = (ranks[id1tmp] > ranks[id2tmp] ? id1tmp : id2tmp);
int menor = (ranks[id2tmp] > ranks[id1tmp] ? id1tmp : id2tmp);
conjKruskal[menor] = maior;
//cout << "ranks: " << " menor: " << ranks[menor] << "maior: " << ranks[maior] << endl;
} else {
conjKruskal[id2tmp] = id1tmp;
ranks[id1tmp] += 1;
//cout << "aumentou rank" << endl;
}
}
}
}
return retorno;
}