/* * Licensed to the Apache Software Foundation (ASF) under one or more * contributor license agreements. See the NOTICE file distributed with * this work for additional information regarding copyright ownership. * The ASF licenses this file to You 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 org.apache.commons.math4.geometry.euclidean.threed; import java.text.DecimalFormat; import java.text.DecimalFormatSymbols; import java.text.NumberFormat; import java.util.Locale; import org.apache.commons.math4.TestUtils; import org.apache.commons.math4.exception.DimensionMismatchException; import org.apache.commons.math4.exception.MathArithmeticException; import org.apache.commons.math4.geometry.Space; import org.apache.commons.math4.geometry.euclidean.threed.Rotation; import org.apache.commons.math4.geometry.euclidean.threed.Cartesian3D; import org.apache.commons.rng.UniformRandomProvider; import org.apache.commons.rng.simple.RandomSource; import org.apache.commons.math4.util.FastMath; import org.apache.commons.numbers.core.Precision; import org.junit.Assert; import org.junit.Test; public class Vector3DTest { @Test public void testConstructors() throws DimensionMismatchException { double r = FastMath.sqrt(2) /2; checkVector(new Cartesian3D(2, new Cartesian3D(FastMath.PI / 3, -FastMath.PI / 4)), r, r * FastMath.sqrt(3), -2 * r); checkVector(new Cartesian3D(2, Cartesian3D.PLUS_I, -3, Cartesian3D.MINUS_K), 2, 0, 3); checkVector(new Cartesian3D(2, Cartesian3D.PLUS_I, 5, Cartesian3D.PLUS_J, -3, Cartesian3D.MINUS_K), 2, 5, 3); checkVector(new Cartesian3D(2, Cartesian3D.PLUS_I, 5, Cartesian3D.PLUS_J, 5, Cartesian3D.MINUS_J, -3, Cartesian3D.MINUS_K), 2, 0, 3); checkVector(new Cartesian3D(new double[] { 2, 5, -3 }), 2, 5, -3); } @Test public void testSpace() { Space space = new Cartesian3D(1, 2, 2).getSpace(); Assert.assertEquals(3, space.getDimension()); Assert.assertEquals(2, space.getSubSpace().getDimension()); Space deserialized = (Space) TestUtils.serializeAndRecover(space); Assert.assertTrue(space == deserialized); } @Test public void testZero() { Assert.assertEquals(0, new Cartesian3D(1, 2, 2).getZero().getNorm(), 1.0e-15); } @Test public void testEquals() { Cartesian3D u1 = new Cartesian3D(1, 2, 3); Cartesian3D u2 = new Cartesian3D(1, 2, 3); Assert.assertTrue(u1.equals(u1)); Assert.assertTrue(u1.equals(u2)); Assert.assertFalse(u1.equals(new Rotation(1, 0, 0, 0, false))); Assert.assertFalse(u1.equals(new Cartesian3D(1, 2, 3 + 10 * Precision.EPSILON))); Assert.assertFalse(u1.equals(new Cartesian3D(1, 2 + 10 * Precision.EPSILON, 3))); Assert.assertFalse(u1.equals(new Cartesian3D(1 + 10 * Precision.EPSILON, 2, 3))); Assert.assertTrue(new Cartesian3D(0, Double.NaN, 0).equals(new Cartesian3D(0, 0, Double.NaN))); } @Test public void testHash() { Assert.assertEquals(new Cartesian3D(0, Double.NaN, 0).hashCode(), new Cartesian3D(0, 0, Double.NaN).hashCode()); Cartesian3D u = new Cartesian3D(1, 2, 3); Cartesian3D v = new Cartesian3D(1, 2, 3 + 10 * Precision.EPSILON); Assert.assertTrue(u.hashCode() != v.hashCode()); } @Test public void testInfinite() { Assert.assertTrue(new Cartesian3D(1, 1, Double.NEGATIVE_INFINITY).isInfinite()); Assert.assertTrue(new Cartesian3D(1, Double.NEGATIVE_INFINITY, 1).isInfinite()); Assert.assertTrue(new Cartesian3D(Double.NEGATIVE_INFINITY, 1, 1).isInfinite()); Assert.assertFalse(new Cartesian3D(1, 1, 2).isInfinite()); Assert.assertFalse(new Cartesian3D(1, Double.NaN, Double.NEGATIVE_INFINITY).isInfinite()); } @Test public void testNaN() { Assert.assertTrue(new Cartesian3D(1, 1, Double.NaN).isNaN()); Assert.assertTrue(new Cartesian3D(1, Double.NaN, 1).isNaN()); Assert.assertTrue(new Cartesian3D(Double.NaN, 1, 1).isNaN()); Assert.assertFalse(new Cartesian3D(1, 1, 2).isNaN()); Assert.assertFalse(new Cartesian3D(1, 1, Double.NEGATIVE_INFINITY).isNaN()); } @Test public void testToString() { Assert.assertEquals("{3; 2; 1}", new Cartesian3D(3, 2, 1).toString()); NumberFormat format = new DecimalFormat("0.000", new DecimalFormatSymbols(Locale.US)); Assert.assertEquals("{3.000; 2.000; 1.000}", new Cartesian3D(3, 2, 1).toString(format)); } @Test(expected=DimensionMismatchException.class) public void testWrongDimension() throws DimensionMismatchException { new Cartesian3D(new double[] { 2, 5 }); } @Test public void testCoordinates() { Cartesian3D v = new Cartesian3D(1, 2, 3); Assert.assertTrue(FastMath.abs(v.getX() - 1) < 1.0e-12); Assert.assertTrue(FastMath.abs(v.getY() - 2) < 1.0e-12); Assert.assertTrue(FastMath.abs(v.getZ() - 3) < 1.0e-12); double[] coordinates = v.toArray(); Assert.assertTrue(FastMath.abs(coordinates[0] - 1) < 1.0e-12); Assert.assertTrue(FastMath.abs(coordinates[1] - 2) < 1.0e-12); Assert.assertTrue(FastMath.abs(coordinates[2] - 3) < 1.0e-12); } @Test public void testNorm1() { Assert.assertEquals(0.0, Cartesian3D.ZERO.getNorm1(), 0); Assert.assertEquals(6.0, new Cartesian3D(1, -2, 3).getNorm1(), 0); } @Test public void testNorm() { Assert.assertEquals(0.0, Cartesian3D.ZERO.getNorm(), 0); Assert.assertEquals(FastMath.sqrt(14), new Cartesian3D(1, 2, 3).getNorm(), 1.0e-12); } @Test public void testNormSq() { Assert.assertEquals(0.0, new Cartesian3D(0, 0, 0).getNormSq(), 0); Assert.assertEquals(14, new Cartesian3D(1, 2, 3).getNormSq(), 1.0e-12); } @Test public void testNormInf() { Assert.assertEquals(0.0, Cartesian3D.ZERO.getNormInf(), 0); Assert.assertEquals(3.0, new Cartesian3D(1, -2, 3).getNormInf(), 0); } @Test public void testDistance1() { Cartesian3D v1 = new Cartesian3D(1, -2, 3); Cartesian3D v2 = new Cartesian3D(-4, 2, 0); Assert.assertEquals(0.0, Cartesian3D.distance1(Cartesian3D.MINUS_I, Cartesian3D.MINUS_I), 0); Assert.assertEquals(12.0, Cartesian3D.distance1(v1, v2), 1.0e-12); Assert.assertEquals(v1.subtract(v2).getNorm1(), Cartesian3D.distance1(v1, v2), 1.0e-12); } @Test public void testDistance() { Cartesian3D v1 = new Cartesian3D(1, -2, 3); Cartesian3D v2 = new Cartesian3D(-4, 2, 0); Assert.assertEquals(0.0, Cartesian3D.distance(Cartesian3D.MINUS_I, Cartesian3D.MINUS_I), 0); Assert.assertEquals(FastMath.sqrt(50), Cartesian3D.distance(v1, v2), 1.0e-12); Assert.assertEquals(v1.subtract(v2).getNorm(), Cartesian3D.distance(v1, v2), 1.0e-12); } @Test public void testDistanceSq() { Cartesian3D v1 = new Cartesian3D(1, -2, 3); Cartesian3D v2 = new Cartesian3D(-4, 2, 0); Assert.assertEquals(0.0, Cartesian3D.distanceSq(Cartesian3D.MINUS_I, Cartesian3D.MINUS_I), 0); Assert.assertEquals(50.0, Cartesian3D.distanceSq(v1, v2), 1.0e-12); Assert.assertEquals(Cartesian3D.distance(v1, v2) * Cartesian3D.distance(v1, v2), Cartesian3D.distanceSq(v1, v2), 1.0e-12); } @Test public void testDistanceInf() { Cartesian3D v1 = new Cartesian3D(1, -2, 3); Cartesian3D v2 = new Cartesian3D(-4, 2, 0); Assert.assertEquals(0.0, Cartesian3D.distanceInf(Cartesian3D.MINUS_I, Cartesian3D.MINUS_I), 0); Assert.assertEquals(5.0, Cartesian3D.distanceInf(v1, v2), 1.0e-12); Assert.assertEquals(v1.subtract(v2).getNormInf(), Cartesian3D.distanceInf(v1, v2), 1.0e-12); } @Test public void testSubtract() { Cartesian3D v1 = new Cartesian3D(1, 2, 3); Cartesian3D v2 = new Cartesian3D(-3, -2, -1); v1 = v1.subtract(v2); checkVector(v1, 4, 4, 4); checkVector(v2.subtract(v1), -7, -6, -5); checkVector(v2.subtract(3, v1), -15, -14, -13); } @Test public void testAdd() { Cartesian3D v1 = new Cartesian3D(1, 2, 3); Cartesian3D v2 = new Cartesian3D(-3, -2, -1); v1 = v1.add(v2); checkVector(v1, -2, 0, 2); checkVector(v2.add(v1), -5, -2, 1); checkVector(v2.add(3, v1), -9, -2, 5); } @Test public void testScalarProduct() { Cartesian3D v = new Cartesian3D(1, 2, 3); v = v.scalarMultiply(3); checkVector(v, 3, 6, 9); checkVector(v.scalarMultiply(0.5), 1.5, 3, 4.5); } @Test public void testVectorialProducts() { Cartesian3D v1 = new Cartesian3D(2, 1, -4); Cartesian3D v2 = new Cartesian3D(3, 1, -1); Assert.assertTrue(FastMath.abs(Cartesian3D.dotProduct(v1, v2) - 11) < 1.0e-12); Cartesian3D v3 = Cartesian3D.crossProduct(v1, v2); checkVector(v3, 3, -10, -1); Assert.assertTrue(FastMath.abs(Cartesian3D.dotProduct(v1, v3)) < 1.0e-12); Assert.assertTrue(FastMath.abs(Cartesian3D.dotProduct(v2, v3)) < 1.0e-12); } @Test public void testCrossProductCancellation() { Cartesian3D v1 = new Cartesian3D(9070467121.0, 4535233560.0, 1); Cartesian3D v2 = new Cartesian3D(9070467123.0, 4535233561.0, 1); checkVector(Cartesian3D.crossProduct(v1, v2), -1, 2, 1); double scale = FastMath.scalb(1.0, 100); Cartesian3D big1 = new Cartesian3D(scale, v1); Cartesian3D small2 = new Cartesian3D(1 / scale, v2); checkVector(Cartesian3D.crossProduct(big1, small2), -1, 2, 1); } @Test public void testAngular() { Assert.assertEquals(0, Cartesian3D.PLUS_I.getAlpha(), 1.0e-10); Assert.assertEquals(0, Cartesian3D.PLUS_I.getDelta(), 1.0e-10); Assert.assertEquals(FastMath.PI / 2, Cartesian3D.PLUS_J.getAlpha(), 1.0e-10); Assert.assertEquals(0, Cartesian3D.PLUS_J.getDelta(), 1.0e-10); Assert.assertEquals(0, Cartesian3D.PLUS_K.getAlpha(), 1.0e-10); Assert.assertEquals(FastMath.PI / 2, Cartesian3D.PLUS_K.getDelta(), 1.0e-10); Cartesian3D u = new Cartesian3D(-1, 1, -1); Assert.assertEquals(3 * FastMath.PI /4, u.getAlpha(), 1.0e-10); Assert.assertEquals(-1.0 / FastMath.sqrt(3), FastMath.sin(u.getDelta()), 1.0e-10); } @Test public void testAngularSeparation() throws MathArithmeticException { Cartesian3D v1 = new Cartesian3D(2, -1, 4); Cartesian3D k = v1.normalize(); Cartesian3D i = k.orthogonal(); Cartesian3D v2 = k.scalarMultiply(FastMath.cos(1.2)).add(i.scalarMultiply(FastMath.sin(1.2))); Assert.assertTrue(FastMath.abs(Cartesian3D.angle(v1, v2) - 1.2) < 1.0e-12); } @Test public void testNormalize() throws MathArithmeticException { Assert.assertEquals(1.0, new Cartesian3D(5, -4, 2).normalize().getNorm(), 1.0e-12); try { Cartesian3D.ZERO.normalize(); Assert.fail("an exception should have been thrown"); } catch (MathArithmeticException ae) { // expected behavior } } @Test public void testNegate() { checkVector(new Cartesian3D(0.1, 2.5, 1.3).negate(), -0.1, -2.5, -1.3); } @Test public void testOrthogonal() throws MathArithmeticException { Cartesian3D v1 = new Cartesian3D(0.1, 2.5, 1.3); Assert.assertEquals(0.0, Cartesian3D.dotProduct(v1, v1.orthogonal()), 1.0e-12); Cartesian3D v2 = new Cartesian3D(2.3, -0.003, 7.6); Assert.assertEquals(0.0, Cartesian3D.dotProduct(v2, v2.orthogonal()), 1.0e-12); Cartesian3D v3 = new Cartesian3D(-1.7, 1.4, 0.2); Assert.assertEquals(0.0, Cartesian3D.dotProduct(v3, v3.orthogonal()), 1.0e-12); Cartesian3D v4 = new Cartesian3D(4.2, 0.1, -1.8); Assert.assertEquals(0.0, Cartesian3D.dotProduct(v4, v4.orthogonal()), 1.0e-12); try { new Cartesian3D(0, 0, 0).orthogonal(); Assert.fail("an exception should have been thrown"); } catch (MathArithmeticException ae) { // expected behavior } } @Test public void testAngle() throws MathArithmeticException { Assert.assertEquals(0.22572612855273393616, Cartesian3D.angle(new Cartesian3D(1, 2, 3), new Cartesian3D(4, 5, 6)), 1.0e-12); Assert.assertEquals(7.98595620686106654517199e-8, Cartesian3D.angle(new Cartesian3D(1, 2, 3), new Cartesian3D(2, 4, 6.000001)), 1.0e-12); Assert.assertEquals(3.14159257373023116985197793156, Cartesian3D.angle(new Cartesian3D(1, 2, 3), new Cartesian3D(-2, -4, -6.000001)), 1.0e-12); try { Cartesian3D.angle(Cartesian3D.ZERO, Cartesian3D.PLUS_I); Assert.fail("an exception should have been thrown"); } catch (MathArithmeticException ae) { // expected behavior } } @Test public void testAccurateDotProduct() { // the following two vectors are nearly but not exactly orthogonal // naive dot product (i.e. computing u1.x * u2.x + u1.y * u2.y + u1.z * u2.z // leads to a result of 0.0, instead of the correct -1.855129... Cartesian3D u1 = new Cartesian3D(-1321008684645961.0 / 268435456.0, -5774608829631843.0 / 268435456.0, -7645843051051357.0 / 8589934592.0); Cartesian3D u2 = new Cartesian3D(-5712344449280879.0 / 2097152.0, -4550117129121957.0 / 2097152.0, 8846951984510141.0 / 131072.0); double sNaive = u1.getX() * u2.getX() + u1.getY() * u2.getY() + u1.getZ() * u2.getZ(); double sAccurate = u1.dotProduct(u2); Assert.assertEquals(0.0, sNaive, 1.0e-30); Assert.assertEquals(-2088690039198397.0 / 1125899906842624.0, sAccurate, 1.0e-15); } @Test public void testDotProduct() { // we compare accurate versus naive dot product implementations // on regular vectors (i.e. not extreme cases like in the previous test) UniformRandomProvider random = RandomSource.create(RandomSource.WELL_1024_A, 553267312521321237l); for (int i = 0; i < 10000; ++i) { double ux = 10000 * random.nextDouble(); double uy = 10000 * random.nextDouble(); double uz = 10000 * random.nextDouble(); double vx = 10000 * random.nextDouble(); double vy = 10000 * random.nextDouble(); double vz = 10000 * random.nextDouble(); double sNaive = ux * vx + uy * vy + uz * vz; double sAccurate = new Cartesian3D(ux, uy, uz).dotProduct(new Cartesian3D(vx, vy, vz)); Assert.assertEquals(sNaive, sAccurate, 2.5e-16 * sAccurate); } } @Test public void testAccurateCrossProduct() { // the vectors u1 and u2 are nearly but not exactly anti-parallel // (7.31e-16 degrees from 180 degrees) naive cross product (i.e. // computing u1.x * u2.x + u1.y * u2.y + u1.z * u2.z // leads to a result of [0.0009765, -0.0001220, -0.0039062], // instead of the correct [0.0006913, -0.0001254, -0.0007909] final Cartesian3D u1 = new Cartesian3D(-1321008684645961.0 / 268435456.0, -5774608829631843.0 / 268435456.0, -7645843051051357.0 / 8589934592.0); final Cartesian3D u2 = new Cartesian3D( 1796571811118507.0 / 2147483648.0, 7853468008299307.0 / 2147483648.0, 2599586637357461.0 / 17179869184.0); final Cartesian3D u3 = new Cartesian3D(12753243807587107.0 / 18446744073709551616.0, -2313766922703915.0 / 18446744073709551616.0, -227970081415313.0 / 288230376151711744.0); Cartesian3D cNaive = new Cartesian3D(u1.getY() * u2.getZ() - u1.getZ() * u2.getY(), u1.getZ() * u2.getX() - u1.getX() * u2.getZ(), u1.getX() * u2.getY() - u1.getY() * u2.getX()); Cartesian3D cAccurate = u1.crossProduct(u2); Assert.assertTrue(u3.distance(cNaive) > 2.9 * u3.getNorm()); Assert.assertEquals(0.0, u3.distance(cAccurate), 1.0e-30 * cAccurate.getNorm()); } @Test public void testCrossProduct() { // we compare accurate versus naive cross product implementations // on regular vectors (i.e. not extreme cases like in the previous test) UniformRandomProvider random = RandomSource.create(RandomSource.WELL_1024_A, 885362227452043215l); for (int i = 0; i < 10000; ++i) { double ux = 10000 * random.nextDouble(); double uy = 10000 * random.nextDouble(); double uz = 10000 * random.nextDouble(); double vx = 10000 * random.nextDouble(); double vy = 10000 * random.nextDouble(); double vz = 10000 * random.nextDouble(); Cartesian3D cNaive = new Cartesian3D(uy * vz - uz * vy, uz * vx - ux * vz, ux * vy - uy * vx); Cartesian3D cAccurate = new Cartesian3D(ux, uy, uz).crossProduct(new Cartesian3D(vx, vy, vz)); Assert.assertEquals(0.0, cAccurate.distance(cNaive), 6.0e-15 * cAccurate.getNorm()); } } private void checkVector(Cartesian3D v, double x, double y, double z) { Assert.assertEquals(x, v.getX(), 1.0e-12); Assert.assertEquals(y, v.getY(), 1.0e-12); Assert.assertEquals(z, v.getZ(), 1.0e-12); } }