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fastutil extends the Java Collections Framework by providing type-specific maps, sets, lists, and queues with a small memory footprint and fast access and insertion; it provides also big (64-bit) arrays, sets and lists, sorting algorithms, fast, practical I/O classes for binary and text files, and facilities for memory mapping large files. Note that if you have both this jar and fastutil-core.jar in your dependencies, fastutil-core.jar should be excluded.

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/*
	* Copyright (C) 2003-2022 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 it.unimi.dsi.fastutil.floats;

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

/**
 * A class providing static methods and objects that do useful things with semi-indirect heaps.
 *
 * 

* A semi-indirect heap is based on a reference array. Elements of a semi-indirect heap are * integers that index the reference array (note that in an indirect heap you can also map * elements of the reference array to heap positions). */ public final class FloatSemiIndirectHeaps { private FloatSemiIndirectHeaps() { } /** * 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}. */ public static int downHeap(final float[] refArray, final int[] heap, final int size, int i, final FloatComparator c) { assert i < size; final int e = heap[i]; final float 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 && (Float.compare((refArray[heap[right]]), (refArray[t])) < 0)) t = heap[child = right]; if ((Float.compare((E), (refArray[t])) <= 0)) 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}. */ public static int upHeap(final float[] refArray, final int[] heap, final int size, int i, final FloatComparator c) { assert i < size; final int e = heap[i]; final float E = refArray[e]; if (c == null) while (i != 0) { final int parent = (i - 1) >>> 1; final int t = heap[parent]; if ((Float.compare((refArray[t]), (E)) <= 0)) 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 void makeHeap(final float[] refArray, final int offset, final int length, final int[] heap, final FloatComparator c) { FloatArrays.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 int[] makeHeap(final float[] refArray, final int offset, final int length, final FloatComparator 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 void makeHeap(final float[] refArray, final int[] heap, final int size, final FloatComparator c) { int i = size >>> 1; while (i-- != 0) downHeap(refArray, heap, size, i, c); } /** * Retrieves the front of a heap in a given array. * *

* The front 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. * *

* 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}). */ public static int front(final float[] refArray, final int[] heap, final int size, final int[] a) { final float 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 ((Float.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; } /** * Retrieves the front of a heap in a given array using a given comparator. * *

* The front 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. * *

* 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 int front(final float[] refArray, final int[] heap, final int size, final int[] a, final FloatComparator c) { final float 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; } }





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