循环队列
解决数组队列出队时间复杂度是O(n)的问题,由O(n)->O(1)
public class LoopQueue<E> implements Queue<E> { private E[] data; private int front, tail; private int size; // 有兴趣的同学,在完成这一章后,可以思考一下: // LoopQueue中不声明size,如何完成所有的逻辑? // 这个问题可能会比大家想象的要难一点点:) public LoopQueue(int capacity){ data = (E[])new Object[capacity + 1]; front = 0; tail = 0; size = 0; } public LoopQueue(){ this(10); } public int getCapacity(){ return data.length - 1; } @Override public boolean isEmpty(){ return front == tail; } @Override public int getSize(){ return size; } @Override public void enqueue(E e){ if((tail + 1) % data.length == front) resize(getCapacity() * 2); data[tail] = e; tail = (tail + 1) % data.length; size ++; } @Override public E dequeue(){ if(isEmpty()) throw new IllegalArgumentException("Cannot dequeue from an empty queue."); E ret = data[front]; data[front] = null; front = (front + 1) % data.length; size --; if(size == getCapacity() / 4 && getCapacity() / 2 != 0) resize(getCapacity() / 2); return ret; } @Override public E getFront(){ if(isEmpty()) throw new IllegalArgumentException("Queue is empty."); return data[front]; } private void resize(int newCapacity){ E[] newData = (E[])new Object[newCapacity + 1]; for(int i = 0 ; i < size ; i ++) newData[i] = data[(i + front) % data.length]; data = newData; front = 0; tail = size; } @Override public String toString(){ StringBuilder res = new StringBuilder(); res.append(String.format("Queue: size = %d , capacity = %d\n", size, getCapacity())); res.append("front ["); for(int i = front ; i != tail ; i = (i + 1) % data.length){ res.append(data[i]); if((i + 1) % data.length != tail) res.append(", "); } res.append("] tail"); return res.toString(); } public static void main(String[] args){ LoopQueue<Integer> queue = new LoopQueue<>(); for(int i = 0 ; i < 10 ; i ++){ queue.enqueue(i); System.out.println(queue); if(i % 3 == 2){ queue.dequeue(); System.out.println(queue); } } } }