/* Copyright (C) 2011 Garrett Fleenor 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 3.0 of the License, or (at your option) any later version. 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 (COPYING.txt) 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., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA This is a port of libnoise ( http://libnoise.sourceforge.net/index.html ). Original implementation by Jason Bevins */ package com.bioxx.libnoise; public class Utils { public static final double PI = 3.1415926535897932385; public static final double SQRT_2 = 1.4142135623730950488; public static final double SQRT_3 = 1.7320508075688772935; public static final double DEG_TO_RAD = PI / 180.0; public static final double RAD_TO_DEG = 1.0 / DEG_TO_RAD; /** * Performs cubic interpolation between two values bound between two other * values * * @param n0 the value before the first value * @param n1 the first value * @param n2 the second value * @param n3 the value after the second value * @param a the alpha value * @return the interpolated value */ public static double CubicInterp(double n0, double n1, double n2, double n3, double a) { double p = (n3 - n2) - (n0 - n1); double q = (n0 - n1) - p; double r = n2 - n0; return p * a * a * a + q * a * a + r * a + n1; } /** * Performs linear interpolation between two values * * @param n0 first value * @param n1 second value * @param a the alpha value. Should be between 0 and 1. * * @return the interpolated value */ public static double LinearInterp(double n0, double n1, double a) { return (1.0 - a) * n0 + (a * n1); } /** * Maps a value onto a cubic S-Curve * * @param a the value to map onto a S-Curve * @return the mapped value */ public static double SCurve3(double a) { return (a * a * (3.0 - 2.0 * a)); } /** * maps a value onto a quitnic S-Curve * * @param a the value to map onto a quitic S-curve * @return the mapped value */ public static double SCurve5(double a) { double a3 = a * a * a; double a4 = a3 * a; double a5 = a4 * a; return (6.0 * a5) - (15.0 * a4) + (10.0 * a3); } public static double[] LatLonToXYZ(double latitude, double longitude) { double r = MathHelper.cos(Math.toRadians(latitude)); double x = r * MathHelper.cos(Math.toRadians(longitude)); double y = MathHelper.sin(Math.toRadians(latitude)); double z = r * MathHelper.sin(Math.toRadians(longitude)); return new double[] {x, y, z}; } public static int ClampValue(int value, int lowerBound, int upperBound) { if (value < lowerBound) { return lowerBound; } else if (value > upperBound) { return upperBound; } else { return value; } } public static int GetMax(int a, int b) { return (a > b) ? a : b; } public static double GetMax(double a, double b) { return (a > b) ? a : b; } public static double GetMin(double a, double b) { return (a < b) ? a : b; } public static int GetMin(int a, int b) { return (a < b) ? a : b; } /** * Modifies a floating-point value so that it can be stored in a * noise::int32 variable. * * @param n A floating-point number. * @return The modified floating-point number. * * This function does not modify @a n. * * In libnoise, the noise-generating algorithms are all * integer-based; they use variables of type noise::int32. Before * calling a noise function, pass the @a x, @a y, and @a z * coordinates to this function to ensure that these coordinates can * be cast to a noise::int32 value. * * Although you could do a straight cast from double to * noise::int32, the resulting value may differ between platforms. * By using this function, you ensure that the resulting value is * identical between platforms. */ public static double MakeInt32Range(double n) { if (n >= 1073741824.0) { return (2.0 * n % 1073741824.0) - 1073741824.0; } else if (n <= -1073741824.0) { return (2.0 * n % 1073741824.0) + 1073741824.0; } else { return n; } } /** * * * A table of 256 random normalized vectors. Each row is an (x, y, z, 0) * coordinate. The 0 is used as padding so we can use bit shifts to index * any row in the table. These vectors have an even statistical * distribution, which improves the quality of the coherent noise generated * by these vectors. For more information, see "GPU Gems", Chapter 5 - * Implementing Improved Perlin Noise by Ken Perlin, specifically page 76. * */ public static final double[] RandomVectors = {-0.763874, -0.596439, -0.246489, 0.0, 0.396055, 0.904518, -0.158073, 0.0, -0.499004, -0.8665, -0.0131631, 0.0, 0.468724, -0.824756, 0.316346, 0.0, 0.829598, 0.43195, 0.353816, 0.0, -0.454473, 0.629497, -0.630228, 0.0, -0.162349, -0.869962, -0.465628, 0.0, 0.932805, 0.253451, 0.256198, 0.0, -0.345419, 0.927299, -0.144227, 0.0, -0.715026, -0.293698, -0.634413, 0.0, -0.245997, 0.717467, -0.651711, 0.0, -0.967409, -0.250435, -0.037451, 0.0, 0.901729, 0.397108, -0.170852, 0.0, 0.892657, -0.0720622, -0.444938, 0.0, 0.0260084, -0.0361701, 0.999007, 0.0, 0.949107, -0.19486, 0.247439, 0.0, 0.471803, -0.807064, -0.355036, 0.0, 0.879737, 0.141845, 0.453809, 0.0, 0.570747, 0.696415, 0.435033, 0.0, -0.141751, -0.988233, -0.0574584, 0.0, -0.58219, -0.0303005, 0.812488, 0.0, -0.60922, 0.239482, -0.755975, 0.0, 0.299394, -0.197066, -0.933557, 0.0, -0.851615, -0.220702, -0.47544, 0.0, 0.848886, 0.341829, -0.403169, 0.0, -0.156129, -0.687241, 0.709453, 0.0, -0.665651, 0.626724, 0.405124, 0.0, 0.595914, -0.674582, 0.43569, 0.0, 0.171025, -0.509292, 0.843428, 0.0, 0.78605, 0.536414, -0.307222, 0.0, 0.18905, -0.791613, 0.581042, 0.0, -0.294916, 0.844994, 0.446105, 0.0, 0.342031, -0.58736, -0.7335, 0.0, 0.57155, 0.7869, 0.232635, 0.0, 0.885026, -0.408223, 0.223791, 0.0, -0.789518, 0.571645, 0.223347, 0.0, 0.774571, 0.31566, 0.548087, 0.0, -0.79695, -0.0433603, -0.602487, 0.0, -0.142425, -0.473249, -0.869339, 0.0, -0.0698838, 0.170442, 0.982886, 0.0, 0.687815, -0.484748, 0.540306, 0.0, 0.543703, -0.534446, -0.647112, 0.0, 0.97186, 0.184391, -0.146588, 0.0, 0.707084, 0.485713, -0.513921, 0.0, 0.942302, 0.331945, 0.043348, 0.0, 0.499084, 0.599922, 0.625307, 0.0, -0.289203, 0.211107, 0.9337, 0.0, 0.412433, -0.71667, -0.56239, 0.0, 0.87721, -0.082816, 0.47291, 0.0, -0.420685, -0.214278, 0.881538, 0.0, 0.752558, 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