parent
ae7ade3990
commit
b720481312
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@ -25,8 +25,8 @@ import org.apache.commons.math4.geometry.enclosing.WelzlEncloser;
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import org.apache.commons.math4.geometry.euclidean.twod.DiskGenerator;
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import org.apache.commons.math4.geometry.euclidean.twod.Euclidean2D;
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import org.apache.commons.math4.geometry.euclidean.twod.Vector2D;
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import org.apache.commons.math4.random.RandomGenerator;
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import org.apache.commons.math4.random.Well1024a;
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import org.apache.commons.math4.rng.UniformRandomProvider;
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import org.apache.commons.math4.rng.RandomSource;
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import org.junit.Assert;
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import org.junit.Test;
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@ -84,7 +84,7 @@ public class WelzlEncloser2DTest {
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@Test
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public void testLargeSamples() {
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RandomGenerator random = new Well1024a(0xa2a63cad12c01fb2l);
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UniformRandomProvider random = RandomSource.create(RandomSource.WELL_1024_A, 0xa2a63cad12c01fb2l);
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for (int k = 0; k < 100; ++k) {
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int nbPoints = random.nextInt(10000);
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List<Vector2D> points = new ArrayList<Vector2D>();
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@ -27,7 +27,8 @@ import org.apache.commons.math4.exception.DimensionMismatchException;
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import org.apache.commons.math4.exception.MathArithmeticException;
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import org.apache.commons.math4.geometry.euclidean.threed.FieldVector3D;
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import org.apache.commons.math4.geometry.euclidean.threed.Vector3D;
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import org.apache.commons.math4.random.Well1024a;
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import org.apache.commons.math4.rng.UniformRandomProvider;
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import org.apache.commons.math4.rng.RandomSource;
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import org.apache.commons.math4.util.FastMath;
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import org.apache.commons.math4.util.Precision;
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import org.junit.Assert;
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@ -592,7 +593,7 @@ public class FieldVector3DTest {
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public void testDotProduct() {
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// we compare accurate versus naive dot product implementations
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// on regular vectors (i.e. not extreme cases like in the previous test)
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Well1024a random = new Well1024a(553267312521321234l);
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UniformRandomProvider random = RandomSource.create(RandomSource.WELL_1024_A, 553267312521321237l);
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for (int i = 0; i < 10000; ++i) {
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double ux = 10000 * random.nextDouble();
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double uy = 10000 * random.nextDouble();
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@ -649,7 +650,7 @@ public class FieldVector3DTest {
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public void testCrossProduct() {
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// we compare accurate versus naive cross product implementations
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// on regular vectors (i.e. not extreme cases like in the previous test)
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Well1024a random = new Well1024a(885362227452043214l);
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UniformRandomProvider random = RandomSource.create(RandomSource.WELL_1024_A, 885362227452043214l);
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for (int i = 0; i < 10000; ++i) {
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double ux = random.nextDouble();
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double uy = random.nextDouble();
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@ -50,8 +50,8 @@ import org.apache.commons.math4.geometry.partitioning.RegionDumper;
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import org.apache.commons.math4.geometry.partitioning.RegionFactory;
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import org.apache.commons.math4.geometry.partitioning.RegionParser;
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import org.apache.commons.math4.geometry.partitioning.SubHyperplane;
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import org.apache.commons.math4.random.RandomGenerator;
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import org.apache.commons.math4.random.Well1024a;
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import org.apache.commons.math4.rng.UniformRandomProvider;
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import org.apache.commons.math4.rng.RandomSource;
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import org.apache.commons.math4.util.FastMath;
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import org.junit.Assert;
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import org.junit.Test;
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@ -440,7 +440,7 @@ public class PolyhedronsSetTest {
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public void testIssue1211() throws IOException, ParseException {
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PolyhedronsSet polyset = RegionParser.parsePolyhedronsSet(loadTestData("issue-1211.bsp"));
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RandomGenerator random = new Well1024a(0xb97c9d1ade21e40al);
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UniformRandomProvider random = RandomSource.create(RandomSource.WELL_1024_A, 0xb97c9d1ade21e40al);
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int nrays = 1000;
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for (int i = 0; i < nrays; i++) {
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Vector3D origin = Vector3D.ZERO;
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@ -28,7 +28,8 @@ import org.apache.commons.math4.exception.MathArithmeticException;
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import org.apache.commons.math4.geometry.Space;
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import org.apache.commons.math4.geometry.euclidean.threed.Rotation;
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import org.apache.commons.math4.geometry.euclidean.threed.Vector3D;
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import org.apache.commons.math4.random.Well1024a;
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import org.apache.commons.math4.rng.UniformRandomProvider;
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import org.apache.commons.math4.rng.RandomSource;
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import org.apache.commons.math4.util.FastMath;
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import org.apache.commons.math4.util.Precision;
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import org.junit.Assert;
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@ -350,7 +351,7 @@ public class Vector3DTest {
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public void testDotProduct() {
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// we compare accurate versus naive dot product implementations
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// on regular vectors (i.e. not extreme cases like in the previous test)
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Well1024a random = new Well1024a(553267312521321234l);
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UniformRandomProvider random = RandomSource.create(RandomSource.WELL_1024_A, 553267312521321237l);
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for (int i = 0; i < 10000; ++i) {
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double ux = 10000 * random.nextDouble();
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double uy = 10000 * random.nextDouble();
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@ -392,7 +393,7 @@ public class Vector3DTest {
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public void testCrossProduct() {
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// we compare accurate versus naive cross product implementations
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// on regular vectors (i.e. not extreme cases like in the previous test)
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Well1024a random = new Well1024a(885362227452043214l);
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UniformRandomProvider random = RandomSource.create(RandomSource.WELL_1024_A, 885362227452043215l);
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for (int i = 0; i < 10000; ++i) {
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double ux = 10000 * random.nextDouble();
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double uy = 10000 * random.nextDouble();
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@ -29,8 +29,8 @@ import org.apache.commons.math4.geometry.euclidean.twod.hull.ConvexHull2D;
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import org.apache.commons.math4.geometry.euclidean.twod.hull.ConvexHullGenerator2D;
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import org.apache.commons.math4.geometry.partitioning.Region;
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import org.apache.commons.math4.geometry.partitioning.Region.Location;
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import org.apache.commons.math4.random.MersenneTwister;
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import org.apache.commons.math4.random.RandomGenerator;
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import org.apache.commons.math4.rng.UniformRandomProvider;
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import org.apache.commons.math4.rng.RandomSource;
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import org.apache.commons.math4.util.FastMath;
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import org.apache.commons.math4.util.MathArrays;
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import org.apache.commons.math4.util.Precision;
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@ -45,7 +45,7 @@ import org.junit.Test;
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public abstract class ConvexHullGenerator2DAbstractTest {
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protected ConvexHullGenerator2D generator;
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protected RandomGenerator random;
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protected UniformRandomProvider random;
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protected abstract ConvexHullGenerator2D createConvexHullGenerator(boolean includeCollinearPoints);
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@ -58,7 +58,7 @@ public abstract class ConvexHullGenerator2DAbstractTest {
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public void setUp() {
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// by default, do not include collinear points
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generator = createConvexHullGenerator(false);
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random = new MersenneTwister(10);
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random = RandomSource.create(RandomSource.MT, 10);
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}
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// ------------------------------------------------------------------------------
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