import java.util.Random;

/**
 * Priority Queue implementation using heaps.  This implementation can do either min or max, which is
 * set at initialization.  It is superior to the ArrayList based implementation in that both
 * add and remove at O(log n).  On there other hand, the heap is size limited.
 * 
 * @param <K>  the key
 * @param <V>  the value
 * 
 * For methods that exactly follow the interface, see the documentation in the interface.
 * 
 * @author gtowell
 * Created APRIL 6, 2020
 * Modified: April 13,2020
 */
@SuppressWarnings("unchecked")
public class PriorityQHeap<K extends Comparable<K>, V> extends AbstractPriorityQueue<K, V>
{

    /** The default size of the heap.  This corresponds to a max depth or 10. */
	private static final int CAPACITY = 1032;
	/** The array that holds the heap. */
	private Entry<K,V>[] backArray;
	/** The number of items actually in he heap. */
    private int size;

    /**
     * Initialize the priority queue with default values. 
	 * Make a min heap with the default size
     */
    public PriorityQHeap() {
        this(Ordering.MIN, CAPACITY);
	}
	
	/**
	 * Initialize a heap. 
	 * @param order the order in which items are retrieved from the heap.
	 * @param capacity the max number of items in the heap.
	 */
    public PriorityQHeap(Ordering order, int capacity) {
        this.order=order;
		backArray = new Entry[capacity];
	}

    @Override
    public int size()
    {
		return size;
    }

    @Override
    public boolean isEmpty()
    {
		return size==0;
    }

    @Override
    public boolean offer(K key, V value)
    {
		if (size>=(backArray.length-1))
			return false;
	// put new item in at end data items
	int loc = size++;
	backArray[loc] = new Entry<K,V>(key, value);
	// up heap
	int upp = (loc-1)/2; //the location of the parent 
	while (loc!=0) {
	    if (0 > backArray[loc].doCompare(backArray[upp])) {
			// swap and climb
			Entry<K,V> tmp = backArray[upp];
			backArray[upp] = backArray[loc];
			backArray[loc] = tmp;	
			loc = upp;
			upp = (loc-1)/2;
	    	}
	    else
	    {
			break;
	    }
	}
	return true;
    }

	/**
	 * Remove the first item in the heap. \
	 * That is, the item at the 0 position in the underlying array.
	 */
    private void removeTop()
    {
		size--;
		// move the last element to the first
		backArray[0] = backArray[size];
		// set the last item to null so the garbage collector can work.
		backArray[size]=null;
		// move the top element down as needed to restore heap ordering property	
		int upp=0; // the location of the item to consider moving down.
		while (true)
		{
	    	int dwn;  // the location of the item to move down to (if appropriate)
	    	int dwn1 = upp*2+1; // the left child
	    	if (dwn1>=size)
				break;
	    	int dwn2 = upp*2+2; // the right chold
	    	if (dwn2>=size)
	    	{
				dwn=dwn1;
	    	}
	    	else
	    	{
				// determine which is to be preferred, the left or righ child
				int cmp = backArray[dwn1].doCompare(backArray[dwn2]);
				if (cmp<=0)
		    		dwn=dwn1;
				else
		    		dwn=dwn2;
			}
			// determine if parent and child should swap positions.
	    	if (0 > backArray[dwn].doCompare(backArray[upp]))
	    	{
				Entry<K,V> tmp = backArray[dwn];
				backArray[dwn] = backArray[upp];
				backArray[upp] = tmp;
				upp=dwn;
	    	}
	    	else {
				// if the should not swap, then complete.
				break;
	    	}
		}
    }

	@Override
	public V poll() {
		if (isEmpty())
			return null;
		Entry<K,V> tmp = backArray[0];
		removeTop();
		return tmp.theV;
	}

	@Override
	public V peek() {
		if (isEmpty())
			return null;
		return backArray[0].theV;
	}


	public static void main(String[] args) {
        PriorityQHeap<Integer, String> pq = new PriorityQHeap<>(Ordering.MIN, CAPACITY);
        pq.offer(1,"Jane");
        pq.offer(10,"WET");
        pq.offer(5, "WAS");
        System.out.println(pq.poll());
        System.out.println(pq.poll());
        System.out.println(pq.poll());
        System.out.println();

        pq = new PriorityQHeap<>(Ordering.MAX, CAPACITY);
        pq.offer(1,"Jane");
        pq.offer(10,"WET");
        pq.offer(5, "WAS");
        System.out.println(pq.poll());
        System.out.println(pq.poll());
        System.out.println(pq.poll());
		
		PriorityQHeap<Integer, Integer> pqi = new PriorityQHeap<>(Ordering.MAX, CAPACITY);
		pqi.poll();
		for (int i=0; i<10; i++)
			pqi.offer(i, i);
		while (pqi.peek()!=null)
			System.out.println(pqi.poll());

		Random r = new Random();

    }


}