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/*
 * This file is part of choco-solver, http://choco-solver.org/
 *
 * Copyright (c) 2019, IMT Atlantique. All rights reserved.
 *
 * Licensed under the BSD 4-clause license.
 *
 * See LICENSE file in the project root for full license information.
 */
package org.chocosolver.util.objects;



/**
 * A fix sized circular queue optimized for removing first and last elements.
 * Some few (essential regarding the usage) methods are implemented.
 * 
* Be aware of the size computation: the modulo operation is not efficient in java. * On the other hand, the modulo of powers of 2 can alternatively be expressed as a bitwise AND operation: *
* x % 2n == x & (2n - 1) *
* That is why the size of the data is automatically set to the closest greater powers of 2 value. * * @author Charles Prud'homme * @since 29 sept. 2010 */ public class IntCircularQueue { private int[] elementData; // head points to the first logical element in the array, and // tail points to the element following the last. This means // that the list is empty when head == tail. It also means // that the elementData array has to have an extra space in it. private int head = 0; private int tail = 0; // Strictly speaking, we don't need to keep a handle to size, // as it can be calculated programmatically, but keeping it // makes the algorithms faster. private int size = 0; private int capacity; /** * Compute the powers of 2 value immedialty greater to size * * @param size the curent number of element * @return the powers of 2 value immedialty greater to size */ private static int closestGreater2n(int size) { if (size == 0) return 2; int _size = Integer.highestOneBit(size) << 1; assert (_size >= size); return _size; } @SuppressWarnings({"unchecked"}) public IntCircularQueue(int size) { size = closestGreater2n(size); elementData = new int[size]; capacity = size; } // The convert() method takes a logical index (as if head was // always 0) and calculates the index within elementData private int convert(int base, int delta) { return (base + delta) & (capacity - 1); } public boolean isEmpty() { return head == tail; } public int size() { return size; } public void clear() { head = tail = size = 0; } public int get(int index) { return elementData[convert(index, head)]; } public boolean addFirst(int e) { // elements[head = (head - 1) & (elements.length - 1)] = e; // if (head == tail) // doubleCapacity(); elementData[head = convert(head, -1)] = e; size++; if (head == tail) doubleCapacity(); return true; } public boolean addLast(int e) { // elements[tail] = e; // if ( (tail = (tail + 1) & (elements.length - 1)) == head) // doubleCapacity(); elementData[tail] = e; size++; if ((tail = convert(tail, 1)) == head) doubleCapacity(); return true; } /** * {@inheritDoc} * This method is the main reason we re-wrote the class. * It is optimized for removing first and last elements * but also allows you to remove in the middle of the list. */ public int pollFirst() { int pos = convert(head, 0); // an interesting application of try/finally is to avoid // having to use local variables int tmp = elementData[pos]; // optimized for FIFO access, i.e. adding to back and // removing from front if (pos == head) { head = convert(head, 1); } size--; return tmp; } /** * {@inheritDoc} * This method is the main reason we re-wrote the class. * It is optimized for removing first and last elements * but also allows you to remove in the middle of the list. */ public int pollLast() { int pos = convert(tail, -1); // an interesting application of try/finally is to avoid // having to use local variables int tmp = elementData[pos]; // optimized for FIFO access, i.e. adding to back and // removing from front tail = pos; size--; return tmp; } /** * Double the capacity of this deque. Call only when full, i.e., * when head and tail have wrapped around to become equal. */ private void doubleCapacity() { assert head == tail; int p = head; int n = capacity; int r = n - p; // number of elements to the right of p int newCapacity = n << 1; if (newCapacity < 0) throw new IllegalStateException("Sorry, deque too big"); int[] a = new int[newCapacity]; System.arraycopy(elementData, p, a, 0, r); System.arraycopy(elementData, 0, a, r, p); elementData = a; head = 0; tail = n; capacity = newCapacity; } }




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