AI代码解释 privatestaticvoidSink(int k){while(2*k<N){int j=2*k;//去左右子节点中,稍大的那个元素做比较if(pq[j].CompareTo(pq[j+1])<0)j++;//如果父节点比这个较大的元素还大,表示满足要求,退出if(pq[k].CompareTo(pq[j])>0)break;//否则,与子节点进行交换Swap(pq,k,j);k=j;}} ...
int child = (k << 1) + 1;//leftNo = parentNo*2+1 Object c = queue[child]; int right = child + 1; if (right < size && comparator.compare((E) c, (E) queue[right]) > 0) c = queue[child = right]; if (comparator.compare(x, (E) c) <= 0) break; queue[k] = c;...
intparent=(k -1) >>>1;// e 表示父结点元素Objecte=queue[parent];// 条件 comparator.compare(x, (E) e) >= 0 表示拿父结点与待插入结点做比较// 条件成立:表示欲插入的元素>=当前父结点元素// 此时跳出循环,插入并作为当前父结点的子结点。// 子结点,即作为父结点的左子结点或者右子结点// 条...
compare(other.priority, this.priority); } } When we add a few tasks to the priority queue and retrieve them, we get the tasks based on priority. PriorityQueue<Task> priorityQueue = new PriorityQueue<>(); priorityQueue.add(new Task(10001, "Task 1", 5)); priorityQueue.add(new Task(10002...
(Comparator.comparingInt(Task::getPriority));//PriorityQueue<Task> taskQueue = new PriorityQueue<>((t1, t2) -> t1.getPriority() - t2.getPriority());PriorityQueue<Task> taskQueue =newPriorityQueue<>(newComparator<Task>() {@Overridepublicintcompare(Task t1, Task t2){returnt1.getPriority() - ...
privatefinalintpriority;publicPriorityTask(Stringname,intpriority){this.name=name;this.priority=priority;}publicStringgetName(){returnname;}publicintgetPriority(){returnpriority;}// 实现 compareTo 方法以支持优先级比较@OverridepublicintcompareTo(PriorityTasko){returnInteger.compare(this.priority,o.priority)...
void test1() { //默认大的优先级高,底层是大堆 priority_queue<int...} size_t size() { return _con.size(); } const T& top() { return _con[0]; } 优先队列模拟实现完整代码...class Container = std::vector, class Compare = less> class priority_queue { public: // 创造空的优先级...
{@Overridepublic int compare(Child o1, Child o2) {return o1.age - o2.age; // 实现小根堆// return o2.ae - o1.age 实现大根堆}}public class TestPriorityQueue {public static void main(String[] args) {AgeComparator ageComparator = new AgeComparator();// 创建具有默认初始容量的 ...
Object e = queue[parent]; if (comparator.compare(x, (E) e) >= 0)//调用比较器的比较方法 break; queue[k] = e; k = parent; } queue[k] = x; } 新加入的元素x可能会破坏小顶堆的性质,因此需要进行调整。调整的过程为:从k指定的位置开始,将x逐层与当前点的parent进行比较并交换,直到满足x...
runnable.run(); } @OverridepublicintcompareTo(Task o){returnInteger.compare(priority, o...