| /* | |
| * Copyright (c) 2023, Oracle and/or its affiliates. All rights reserved. | |
| * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER. | |
| * | |
| * This code is free software; you can redistribute it and/or modify it | |
| * under the terms of the GNU General Public License version 2 only, as | |
| * published by the Free Software Foundation. | |
| * | |
| * This code 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 General Public License | |
| * version 2 for more details (a copy is included in the LICENSE file that | |
| * accompanied this code). | |
| * | |
| * You should have received a copy of the GNU General Public License version | |
| * 2 along with this work; if not, write to the Free Software Foundation, | |
| * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA. | |
| * | |
| * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA | |
| * or visit www.oracle.com if you need additional information or have any | |
| * questions. | |
| */ | |
| import jdk.test.lib.RandomFactory; | |
| import org.junit.jupiter.params.ParameterizedTest; | |
| import org.junit.jupiter.params.provider.Arguments; | |
| import org.junit.jupiter.params.provider.MethodSource; | |
| import java.util.Iterator; | |
| import java.util.TreeSet; | |
| import java.util.random.RandomGenerator; | |
| import java.util.stream.DoubleStream; | |
| import static org.junit.jupiter.api.Assertions.*; | |
| import static org.junit.jupiter.params.provider.Arguments.arguments; | |
| /** | |
| * @test | |
| * @bug 8302987 | |
| * @key randomness | |
| * | |
| * @summary Check consistency of RandomGenerator::equiDoubles | |
| * @library /test/lib | |
| * @run junit EquiDoublesTest | |
| * | |
| */ | |
| public class EquiDoublesTest { | |
| private static final int SAMPLES = 100_000; | |
| /* | |
| * A factor to use in the tight*() tests to make sure that | |
| * all equidistant doubles are generated. | |
| */ | |
| private static final long SAFETY_FACTOR = 100L; | |
| private static final RandomGenerator rnd = RandomFactory.getRandom(); | |
| private static double nextUp(double d, int steps) { | |
| for (int i = 0; i < steps; ++i) { | |
| d = Math.nextUp(d); | |
| } | |
| return d; | |
| } | |
| private static double nextDown(double d, int steps) { | |
| for (int i = 0; i < steps; ++i) { | |
| d = Math.nextDown(d); | |
| } | |
| return d; | |
| } | |
| static Arguments[] equi() { | |
| return new Arguments[] { | |
| arguments(0.0, 1e-9), | |
| arguments(1.0, 1.1), | |
| arguments(1.0e23, 1.1e23), | |
| arguments(1.0e300, 1.1e300), | |
| arguments(-1.2, 1.1), | |
| arguments(-1.2e-30, 1.1e6), | |
| arguments(-Double.MIN_VALUE, Double.MIN_VALUE), | |
| arguments(-Double.MAX_VALUE, Double.MAX_VALUE), | |
| }; | |
| } | |
| @ParameterizedTest | |
| @MethodSource | |
| void equi(double l, double r) { | |
| double[] minmax = new double[2]; | |
| resetMinmax(minmax); | |
| DoubleStream equi = rnd.equiDoubles(l, r, true, false); | |
| equi.limit(SAMPLES).forEach(d -> updateMinmax(minmax, d)); | |
| assertTrue(l <= minmax[0]); | |
| assertTrue(minmax[1] < r); | |
| resetMinmax(minmax); | |
| equi = rnd.equiDoubles(l, r, true, true); | |
| equi.limit(SAMPLES).forEach(d -> updateMinmax(minmax, d)); | |
| assertTrue(l <= minmax[0]); | |
| assertTrue(minmax[1] <= r); | |
| resetMinmax(minmax); | |
| equi = rnd.equiDoubles(l, r, false, true); | |
| equi.limit(SAMPLES).forEach(d -> updateMinmax(minmax, d)); | |
| assertTrue(l < minmax[0]); | |
| assertTrue(minmax[1] <= r); | |
| resetMinmax(minmax); | |
| equi = rnd.equiDoubles(l, r, false, false); | |
| equi.limit(SAMPLES).forEach(d -> updateMinmax(minmax, d)); | |
| assertTrue(l < minmax[0]); | |
| assertTrue(minmax[1] < r); | |
| /* with negated intervals */ | |
| resetMinmax(minmax); | |
| equi = rnd.equiDoubles(-r, -l, true, false); | |
| equi.limit(SAMPLES).forEach(d -> updateMinmax(minmax, d)); | |
| assertTrue(-r <= minmax[0]); | |
| assertTrue(minmax[1] < -l); | |
| resetMinmax(minmax); | |
| equi = rnd.equiDoubles(-r, -l, true, true); | |
| equi.limit(SAMPLES).forEach(d -> updateMinmax(minmax, d)); | |
| assertTrue(-r <= minmax[0]); | |
| assertTrue(minmax[1] <= -l); | |
| resetMinmax(minmax); | |
| equi = rnd.equiDoubles(-r, -l, false, true); | |
| equi.limit(SAMPLES).forEach(d -> updateMinmax(minmax, d)); | |
| assertTrue(-r < minmax[0]); | |
| assertTrue(minmax[1] <= -l); | |
| resetMinmax(minmax); | |
| equi = rnd.equiDoubles(-r, -l, false, false); | |
| equi.limit(SAMPLES).forEach(d -> updateMinmax(minmax, d)); | |
| assertTrue(-r < minmax[0]); | |
| assertTrue(minmax[1] < -l); | |
| } | |
| private void resetMinmax(double[] minmax) { | |
| minmax[0] = Double.POSITIVE_INFINITY; | |
| minmax[1] = Double.NEGATIVE_INFINITY; | |
| } | |
| private void updateMinmax(double[] minmax, double d) { | |
| if (d < minmax[0]) { | |
| minmax[0] = d; | |
| } | |
| if (d > minmax[1]) { | |
| minmax[1] = d; | |
| } | |
| } | |
| static Arguments[] tight() { | |
| return new Arguments[] { | |
| arguments(0.0, (short) 100), | |
| arguments(1.0, (short) 100), | |
| arguments(1.1, (short) 100), | |
| arguments(1.0e23, (short) 100), | |
| arguments(1.0e300, (short) 100), | |
| arguments(-1.2, (short) 100), | |
| arguments(-1.2e-30, (short) 100), | |
| arguments(-Double.MIN_VALUE, (short) 100), | |
| arguments(-Double.MIN_VALUE, (short) 2), | |
| arguments(-Double.MAX_VALUE, (short) 2), | |
| }; | |
| } | |
| /* | |
| * All equidistant doubles in a tight range are expected to be generated. | |
| * The arguments must be chosen as to not overlap a value with irregular | |
| * spacing around it. | |
| */ | |
| @ParameterizedTest | |
| @MethodSource | |
| void tight(double l, short steps) { | |
| double r = nextUp(l, steps); | |
| TreeSet<Double> set = new TreeSet<>(); | |
| DoubleStream equi = rnd.equiDoubles(l, r, true, false); | |
| equi.limit(SAFETY_FACTOR * steps).forEach(set::add); | |
| assertEquals(steps, set.size()); | |
| checkEquidistance(set); | |
| set.clear(); | |
| equi = rnd.equiDoubles(l, r, true, true); | |
| equi.limit(SAFETY_FACTOR * steps).forEach(set::add); | |
| assertEquals(steps + 1, set.size()); | |
| checkEquidistance(set); | |
| set.clear(); | |
| equi = rnd.equiDoubles(l, r, false, true); | |
| equi.limit(SAFETY_FACTOR * steps).forEach(set::add); | |
| assertEquals(steps, set.size()); | |
| checkEquidistance(set); | |
| set.clear(); | |
| equi = rnd.equiDoubles(l, r, false, false); | |
| equi.limit(SAFETY_FACTOR * steps).forEach(set::add); | |
| assertEquals(steps - 1, set.size()); | |
| checkEquidistance(set); | |
| /* with negated intervals */ | |
| set.clear(); | |
| equi = rnd.equiDoubles(-r, -l, true, true); | |
| equi.limit(SAFETY_FACTOR * steps).forEach(set::add); | |
| assertEquals(steps + 1, set.size()); | |
| checkEquidistance(set); | |
| set.clear(); | |
| equi = rnd.equiDoubles(-r, -l, true, true); | |
| equi.limit(SAFETY_FACTOR * steps).forEach(set::add); | |
| assertEquals(steps + 1, set.size()); | |
| checkEquidistance(set); | |
| set.clear(); | |
| equi = rnd.equiDoubles(-r, -l, false, true); | |
| equi.limit(SAFETY_FACTOR * steps).forEach(set::add); | |
| assertEquals(steps, set.size()); | |
| checkEquidistance(set); | |
| set.clear(); | |
| equi = rnd.equiDoubles(-r, -l, false, false); | |
| equi.limit(SAFETY_FACTOR * steps).forEach(set::add); | |
| assertEquals(steps - 1, set.size()); | |
| checkEquidistance(set); | |
| } | |
| static Arguments[] tightWithIrregularSpacing() { | |
| return new Arguments[] { | |
| arguments(0x1p-1, (short) 15, (short) 23), | |
| arguments(0x1p0, (short) 17, (short) 5), | |
| arguments(0x1p1, (short) 7, (short) 8), | |
| arguments(0x1p-600, (short) 28, (short) 33), | |
| arguments(0x1p600, (short) 9, (short) 19), | |
| }; | |
| } | |
| /* | |
| * m must be a power of 2 greater than Double.MIN_NORMAL | |
| */ | |
| @ParameterizedTest | |
| @MethodSource | |
| void tightWithIrregularSpacing(double m, short lSteps, short rSteps) { | |
| double l = nextDown(m, 2 * lSteps); | |
| double r = nextUp(m, rSteps); | |
| int steps = lSteps + rSteps; | |
| TreeSet<Double> set = new TreeSet<>(); | |
| DoubleStream equi = rnd.equiDoubles(l, r, true, false); | |
| equi.limit(SAFETY_FACTOR * steps).forEach(set::add); | |
| assertEquals(steps, set.size()); | |
| checkEquidistance(set); | |
| set.clear(); | |
| equi = rnd.equiDoubles(l, r, true, true); | |
| equi.limit(SAFETY_FACTOR * steps).forEach(set::add); | |
| assertEquals(steps + 1, set.size()); | |
| checkEquidistance(set); | |
| set.clear(); | |
| equi = rnd.equiDoubles(l, r, false, true); | |
| equi.limit(SAFETY_FACTOR * steps).forEach(set::add); | |
| assertEquals(steps, set.size()); | |
| checkEquidistance(set); | |
| set.clear(); | |
| equi = rnd.equiDoubles(l, r, false, false); | |
| equi.limit(SAFETY_FACTOR * steps).forEach(set::add); | |
| assertEquals(steps - 1, set.size()); | |
| checkEquidistance(set); | |
| /* with negated intervals */ | |
| set.clear(); | |
| equi = rnd.equiDoubles(-r, -l, true, true); | |
| equi.limit(SAFETY_FACTOR * steps).forEach(set::add); | |
| assertEquals(steps + 1, set.size()); | |
| checkEquidistance(set); | |
| set.clear(); | |
| equi = rnd.equiDoubles(-r, -l, true, true); | |
| equi.limit(SAFETY_FACTOR * steps).forEach(set::add); | |
| assertEquals(steps + 1, set.size()); | |
| checkEquidistance(set); | |
| set.clear(); | |
| equi = rnd.equiDoubles(-r, -l, false, true); | |
| equi.limit(SAFETY_FACTOR * steps).forEach(set::add); | |
| assertEquals(steps, set.size()); | |
| checkEquidistance(set); | |
| set.clear(); | |
| equi = rnd.equiDoubles(-r, -l, false, false); | |
| equi.limit(SAFETY_FACTOR * steps).forEach(set::add); | |
| assertEquals(steps - 1, set.size()); | |
| checkEquidistance(set); | |
| } | |
| private void checkEquidistance(TreeSet<Double> set) { | |
| if (set.size() < 3) { | |
| return; | |
| } | |
| Iterator<Double> iter = set.iterator(); | |
| double prev = iter.next(); | |
| double curr = iter.next(); | |
| double delta = curr - prev; | |
| while (iter.hasNext()) { | |
| prev = curr; | |
| curr = iter.next(); | |
| assertEquals(delta, curr - prev); | |
| } | |
| } | |
| static Arguments[] empty() { | |
| return new Arguments[] { | |
| arguments(1.0), | |
| arguments(-1.0), | |
| arguments(0.0), | |
| arguments(nextDown(Double.MAX_VALUE, 1)), | |
| arguments(nextUp(-Double.MAX_VALUE, 1)), | |
| }; | |
| } | |
| @ParameterizedTest | |
| @MethodSource | |
| void empty(double l) { | |
| assertThrows(IllegalArgumentException.class, | |
| () -> rnd.equiDoubles(l, l, true, false) | |
| ); | |
| assertThrows(IllegalArgumentException.class, | |
| () -> rnd.equiDoubles(l, nextUp(l, 1), false, false) | |
| ); | |
| assertThrows(IllegalArgumentException.class, | |
| () -> rnd.equiDoubles(nextDown(l, 1), l, false, false) | |
| ); | |
| assertThrows(IllegalArgumentException.class, | |
| () -> rnd.equiDoubles(l, l, false, true) | |
| ); | |
| assertThrows(IllegalArgumentException.class, | |
| () -> rnd.equiDoubles(l, nextDown(l, 1), true, true) | |
| ); | |
| assertThrows(IllegalArgumentException.class, | |
| () -> rnd.equiDoubles(nextUp(l, 1), l, true, true) | |
| ); | |
| } | |
| } |