/*
 * Copyright (C) 2003-2017 Paolo Boldi and Sebastiano Vigna
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */


package PACKAGE;

#if KEY_CLASS_Object
import java.util.Comparator;
#endif

import it.unimi.dsi.fastutil.ints.IntArrays;

/** A class providing static methods and objects that do useful things with semi-indirect heaps.
 *
 * <p>A semi-indirect heap is based on a <em>reference array</em>. Elements of
 * a semi-indirect heap are integers that index the reference array (note that
 * in an <em>indirect</em> heap you can also map elements of the reference
 * array to heap positions).
 */

public final class SEMI_INDIRECT_HEAPS {

	private SEMI_INDIRECT_HEAPS() {}

	/** Moves the given element down into the semi-indirect heap until it reaches the lowest possible position.
	 *
	 * @param refArray the reference array.
	 * @param heap the semi-indirect heap (starting at 0).
	 * @param size the number of elements in the heap.
	 * @param i the index in the heap of the element to be moved down.
	 * @param c a type-specific comparator, or {@code null} for the natural order.
	 * @return the new position in the heap of the element of heap index {@code i}.
	 */

	SUPPRESS_WARNINGS_KEY_UNCHECKED
	public static KEY_GENERIC int downHeap(final KEY_GENERIC_TYPE[] refArray, final int[] heap, final int size, int i, final KEY_COMPARATOR KEY_GENERIC c) {
		assert i < size;

		final int e = heap[i];
		final KEY_GENERIC_TYPE E = refArray[e];
		int child;

		if (c == null)
			while ((child = (i << 1) + 1) < size) {
				int t = heap[child];
				final int right = child + 1;
				if (right < size && KEY_LESS(refArray[heap[right]], refArray[t])) t = heap[child = right];
				if (KEY_LESSEQ(E, refArray[t])) break;
				heap[i] = t;
				i = child;
			}
		else
			while ((child = (i << 1) + 1) < size) {
				int t = heap[child];
				final int right = child + 1;
				if (right < size && c.compare(refArray[heap[right]], refArray[t]) < 0) t = heap[child = right];
				if (c.compare(E, refArray[t]) <= 0) break;
				heap[i] = t;
				i = child;
			}

		heap[i] = e;

		return i;
	}

	/** Moves the given element up in the semi-indirect heap until it reaches the highest possible position.
	 *
	 * @param refArray the reference array.
	 * @param heap the semi-indirect heap (starting at 0).
	 * @param size the number of elements in the heap.
	 * @param i the index in the heap of the element to be moved up.
	 * @param c a type-specific comparator, or {@code null} for the natural order.
	 * @return the new position in the heap of the element of heap index {@code i}.
	 */

	SUPPRESS_WARNINGS_KEY_UNCHECKED
	public static KEY_GENERIC int upHeap(final KEY_GENERIC_TYPE[] refArray, final int[] heap, final int size, int i, final KEY_COMPARATOR KEY_GENERIC c) {
		assert i < size;

		final int e = heap[i];
		final KEY_GENERIC_TYPE E = refArray[e];

		if (c == null)
			while (i != 0) {
				final int parent = (i - 1) >>> 1;
				final int t = heap[parent];
				if (KEY_LESSEQ(refArray[t], E)) break;
				heap[i] = t;
				i = parent;
			}
		else
			while (i != 0) {
				final int parent = (i - 1) >>> 1;
				final int t = heap[parent];
				if (c.compare(refArray[t], E) <= 0) break;
				heap[i] = t;
				i = parent;
			}

		heap[i] = e;

		return i;
	}

	/** Creates a semi-indirect heap in the given array.
	 *
	 * @param refArray the reference array.
	 * @param offset the first element of the reference array to be put in the heap.
	 * @param length the number of elements to be put in the heap.
	 * @param heap the array where the heap is to be created.
	 * @param c a type-specific comparator, or {@code null} for the natural order.
	 */

	public static KEY_GENERIC void makeHeap(final KEY_GENERIC_TYPE[] refArray, final int offset, final int length, final int[] heap, final KEY_COMPARATOR KEY_GENERIC c) {
		ARRAYS.ensureOffsetLength(refArray, offset, length);
		if (heap.length < length) throw new IllegalArgumentException("The heap length (" + heap.length + ") is smaller than the number of elements (" + length + ")");

		int i = length;
		while(i-- != 0) heap[i] = offset + i;

		i = length >>> 1;
		while(i-- != 0) downHeap(refArray, heap, length, i, c);
	}

	/** Creates a semi-indirect heap, allocating its heap array.
	 *
	 * @param refArray the reference array.
	 * @param offset the first element of the reference array to be put in the heap.
	 * @param length the number of elements to be put in the heap.
	 * @param c a type-specific comparator, or {@code null} for the natural order.
	 * @return the heap array.
	 */

	public static KEY_GENERIC int[] makeHeap(final KEY_GENERIC_TYPE[] refArray, final int offset, final int length, final KEY_COMPARATOR KEY_GENERIC c) {
		final int[] heap = length <= 0 ? IntArrays.EMPTY_ARRAY : new int[length];
		makeHeap(refArray, offset, length, heap, c);
		return heap;
	}



	/** Creates a semi-indirect heap from a given index array.
	 *
	 * @param refArray the reference array.
	 * @param heap an array containing indices into {@code refArray}.
	 * @param size the number of elements in the heap.
	 * @param c a type-specific comparator, or {@code null} for the natural order.
	 */

	public static KEY_GENERIC void makeHeap(final KEY_GENERIC_TYPE[] refArray, final int[] heap, final int size, final KEY_COMPARATOR KEY_GENERIC c) {
		int i = size >>> 1;
		while(i-- != 0) downHeap(refArray, heap, size, i, c);
	}

	/** Retrieves the front of a heap in a given array.
	 *
	 * <p>The <em>front</em> of a semi-indirect heap is the set of indices whose associated elements in the reference array
	 * are equal to the element associated to the first index.
	 *
	 * <p>In several circumstances you need to know the front, and scanning linearly the entire heap is not
	 * the best strategy. This method simulates (using a partial linear scan) a breadth-first visit that
	 * terminates when all visited nodes are larger than the element associated
	 * to the top index, which implies that no elements of the front can be found later.
	 * In most cases this trick yields a significant improvement.
	 *
	 * @param refArray the reference array.
	 * @param heap an array containing indices into {@code refArray}.
	 * @param size the number of elements in the heap.
	 * @param a an array large enough to hold the front (e.g., at least long as {@code refArray}).
	 * @return the number of elements actually written (starting from the first position of {@code a}).
	 */
	SUPPRESS_WARNINGS_KEY_UNCHECKED
	public static KEY_GENERIC int front(final KEY_GENERIC_TYPE[] refArray, final int[] heap, final int size, final int[] a) {
		final KEY_GENERIC_TYPE top = refArray[heap[0]];
		int j = 0, // The current position in a
			l = 0, // The first position to visit in the next level (inclusive)
			r = 1, // The last position to visit in the next level (exclusive)
			f = 0; // The first position (in the heap array) of the next level
		for(int i = 0; i < r; i++) {
			if (i == f) { // New level
				if (l >= r) break; // If we are crossing the two bounds, we're over
				f = (f << 1) + 1; // Update the first position of the next level...
				i = l; // ...and jump directly to position l
				l = -1; // Invalidate l
			}
			if (KEY_CMP_EQ(top, refArray[heap[i]])) {
				a[j++] = heap[i];
				if (l == -1) l = i * 2 + 1; // If this is the first time in this level, set l
				r = Math.min(size, i * 2 + 3); // Update r, but do not go beyond size
			}
		}

		return j;
	}

	/** Retrieves the front of a heap in a given array using a given comparator.
	 *
	 * <p>The <em>front</em> of a semi-indirect heap is the set of indices whose associated elements in the reference array
	 * are equal to the element associated to the first index.
	 *
	 * <p>In several circumstances you need to know the front, and scanning linearly the entire heap is not
	 * the best strategy. This method simulates (using a partial linear scan) a breadth-first visit that
	 * terminates when all visited nodes are larger than the element associated
	 * to the top index, which implies that no elements of the front can be found later.
	 * In most cases this trick yields a significant improvement.
	 *
	 * @param refArray the reference array.
	 * @param heap an array containing indices into {@code refArray}.
	 * @param size the number of elements in the heap.
	 * @param a an array large enough to hold the front (e.g., at least long as {@code refArray}).
	 * @param c a type-specific comparator.
	 * @return the number of elements actually written (starting from the first position of {@code a}).
	 */
	public static KEY_GENERIC int front(final KEY_GENERIC_TYPE[] refArray, final int[] heap, final int size, final int[] a, final KEY_COMPARATOR KEY_GENERIC c) {
		final KEY_GENERIC_TYPE top = refArray[heap[0]];
		int j = 0, // The current position in a
			l = 0, // The first position to visit in the next level (inclusive)
			r = 1, // The last position to visit in the next level (exclusive)
			f = 0; // The first position (in the heap array) of the next level
		for(int i = 0; i < r; i++) {
			if (i == f) { // New level
				if (l >= r) break; // If we are crossing the two bounds, we're over
				f = (f << 1) + 1; // Update the first position of the next level...
				i = l; // ...and jump directly to position l
				l = -1; // Invalidate l
			}
			if (c.compare(top, refArray[heap[i]]) == 0) {
				a[j++] = heap[i];
				if (l == -1) l = i * 2 + 1; // If this is the first time in this level, set l
				r = Math.min(size, i * 2 + 3); // Update r, but do not go beyond size
			}
		}

		return j;
	}
}
