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diff --git a/test/de/lmu/ifi/dbs/elki/math/TestMathUtil.java b/test/de/lmu/ifi/dbs/elki/math/TestMathUtil.java
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--- a/test/de/lmu/ifi/dbs/elki/math/TestMathUtil.java
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@@ -1,104 +0,0 @@
-package de.lmu.ifi.dbs.elki.math;
-
-/*
- This file is part of ELKI:
- Environment for Developing KDD-Applications Supported by Index-Structures
-
- Copyright (C) 2012
- Ludwig-Maximilians-Universität München
- Lehr- und Forschungseinheit für Datenbanksysteme
- ELKI Development Team
-
- This program is free software: you can redistribute it and/or modify
- it under the terms of the GNU Affero General Public License as published by
- the Free Software Foundation, either version 3 of the License, or
- (at your option) any later version.
-
- This program 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 Affero General Public License for more details.
-
- You should have received a copy of the GNU Affero General Public License
- along with this program. If not, see <http://www.gnu.org/licenses/>.
- */
-
-import static org.junit.Assert.assertEquals;
-import static org.junit.Assert.assertTrue;
-
-import java.util.Random;
-
-import org.junit.Test;
-
-import de.lmu.ifi.dbs.elki.JUnit4Test;
-
-/**
- * Unit test for some basic math functions.
- *
- * @author Erich Schubert
- */
-public class TestMathUtil implements JUnit4Test {
- @Test
- public void testPearsonCorrelation() {
- final int size = 1000;
- final long seed = 1;
- double[] data1 = new double[size];
- double[] data2 = new double[size];
- double[] weight1 = new double[size];
- double[] weight2 = new double[size];
-
- Random r = new Random(seed);
- for (int i = 0; i < size; i++) {
- data1[i] = r.nextDouble();
- data2[i] = r.nextDouble();
- weight1[i] = 1.0;
- weight2[i] = 0.1;
- }
-
- double pear = MathUtil.pearsonCorrelationCoefficient(data1, data2);
- double wpear1 = MathUtil.weightedPearsonCorrelationCoefficient(data1, data2, weight1);
- double wpear2 = MathUtil.weightedPearsonCorrelationCoefficient(data1, data2, weight2);
- assertEquals("Pearson and weighted pearson should be the same with constant weights.", pear, wpear1, 1E-10);
- assertEquals("Weighted pearsons should be the same with constant weights.", wpear1, wpear2, 1E-10);
- }
-
- @Test
- public void testBitMath() {
- assertEquals("Bit math issues", 1024, MathUtil.nextPow2Int(912));
- assertEquals("Bit math issues", 8, MathUtil.nextPow2Int(5));
- assertEquals("Bit math issues", 4, MathUtil.nextPow2Int(4));
- assertEquals("Bit math issues", 4, MathUtil.nextPow2Int(3));
- assertEquals("Bit math issues", 2, MathUtil.nextPow2Int(2));
- assertEquals("Bit math issues", 1, MathUtil.nextPow2Int(1));
- assertEquals("Bit math issues", 0, MathUtil.nextPow2Int(0));
- assertEquals("Bit math issues", 1024L, MathUtil.nextPow2Long(912L));
- assertEquals("Bit math issues", 0, MathUtil.nextPow2Int(-1));
- assertEquals("Bit math issues", 0, MathUtil.nextPow2Int(-2));
- assertEquals("Bit math issues", 0, MathUtil.nextPow2Int(-99));
- assertEquals("Bit math issues", 15, MathUtil.nextAllOnesInt(8));
- assertEquals("Bit math issues", 7, MathUtil.nextAllOnesInt(4));
- assertEquals("Bit math issues", 3, MathUtil.nextAllOnesInt(3));
- assertEquals("Bit math issues", 3, MathUtil.nextAllOnesInt(2));
- assertEquals("Bit math issues", 1, MathUtil.nextAllOnesInt(1));
- assertEquals("Bit math issues", 0, MathUtil.nextAllOnesInt(0));
- assertEquals("Bit math issues", -1, MathUtil.nextAllOnesInt(-1));
- assertEquals("Bit math issues", 0, 0 >>> 1);
- }
-
- @Test
- public void testFloatToDouble() {
- Random r = new Random(1l);
- for (int i = 0; i < 10000; i++) {
- final double dbl = Double.longBitsToDouble(r.nextLong());
- final float flt = (float) dbl;
- final double uppd = MathUtil.floatToDoubleUpper(flt);
- final float uppf = (float) uppd;
- final double lowd = MathUtil.floatToDoubleLower(flt);
- final float lowf = (float) lowd;
- assertTrue("Expected value to become larger, but " + uppd + " < " + dbl, uppd >= dbl || Double.isNaN(dbl));
- assertTrue("Expected value to round to the same float.", flt == uppf || Double.isNaN(flt));
- assertTrue("Expected value to become smaller, but " + lowd + " > " + dbl, lowd <= dbl || Double.isNaN(dbl));
- assertTrue("Expected value to round to the same float.", flt == lowf || Double.isNaN(flt));
- }
- }
-}