/* * __ .__ .__ ._____. * _/ |_ _______ __|__| ____ | | |__\_ |__ ______ * \ __\/ _ \ \/ / |/ ___\| | | || __ \ / ___/ * | | ( <_> > <| \ \___| |_| || \_\ \\___ \ * |__| \____/__/\_ \__|\___ >____/__||___ /____ > * \/ \/ \/ \/ * * Copyright (c) 2006-2011 Karsten Schmidt * * This library is free software; you can redistribute it and/or * modify it under the terms of the GNU Lesser General Public * License as published by the Free Software Foundation; either * version 2.1 of the License, or (at your option) any later version. * * http://creativecommons.org/licenses/LGPL/2.1/ * * This library is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU * Lesser General Public License for more details. * * You should have received a copy of the GNU Lesser General Public * License along with this library; if not, write to the Free Software * Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301, USA */ package toxi.math; /** * Delivers a number of decimated/stepped values for a given interval. E.g. by * using 5 steps the interpolation factor is decimated to: 0, 20, 40, 60, 80 and * 100%. By default {@link LinearInterpolation} is used, however any other * {@link InterpolateStrategy} can be specified via the constructor. */ public class DecimatedInterpolation implements InterpolateStrategy { /** * */ public int numSteps; /** * */ public InterpolateStrategy strategy; /** * * @param steps */ public DecimatedInterpolation(int steps) { this(steps, new LinearInterpolation()); } /** * * @param steps * @param strategy */ public DecimatedInterpolation(int steps, InterpolateStrategy strategy) { this.numSteps = steps; this.strategy = strategy; } @Override public double interpolate(double a, double b, double f) { double fd = (int) (f * numSteps) / (double) numSteps; return strategy.interpolate(a, b, fd); } @Override public float interpolate(float a, float b, float f) { float fd = (int) (f * numSteps) / (float) numSteps; return strategy.interpolate(a, b, fd); } }