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Posted to commits@commons.apache.org by lu...@apache.org on 2008/07/27 21:15:22 UTC
svn commit: r680166 [3/3] - in /commons/proper/math/branches/MATH_2_0: ./
src/java/org/apache/commons/math/linear/ src/site/xdoc/
src/test/org/apache/commons/math/linear/
Added: commons/proper/math/branches/MATH_2_0/src/test/org/apache/commons/math/linear/RealVectorImplTest.java
URL: http://svn.apache.org/viewvc/commons/proper/math/branches/MATH_2_0/src/test/org/apache/commons/math/linear/RealVectorImplTest.java?rev=680166&view=auto
==============================================================================
--- commons/proper/math/branches/MATH_2_0/src/test/org/apache/commons/math/linear/RealVectorImplTest.java (added)
+++ commons/proper/math/branches/MATH_2_0/src/test/org/apache/commons/math/linear/RealVectorImplTest.java Sun Jul 27 12:15:22 2008
@@ -0,0 +1,1137 @@
+/*
+ * 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.math.linear;
+
+import java.io.Serializable;
+import junit.framework.Test;
+import junit.framework.TestCase;
+import junit.framework.TestSuite;
+
+/**
+ * Test cases for the {@link RealVectorImpl} class.
+ *
+ * @version $Revision$ $Date$
+ */
+public class RealVectorImplTest extends TestCase {
+
+ //
+ protected double[][] ma1 = {{1d, 2d, 3d}, {4d, 5d, 6d}, {7d, 8d, 9d}};
+ protected double[] vec1 = {1d, 2d, 3d};
+ protected double[] vec2 = {4d, 5d, 6d};
+ protected double[] vec3 = {7d, 8d, 9d};
+ protected double[] vec4 = {1d, 2d, 3d, 4d, 5d, 6d, 7d, 8d, 9d};
+ protected double[] vec_null = {0d, 0d, 0d};
+ protected Double[] dvec1 = {1d, 2d, 3d, 4d, 5d, 6d, 7d, 8d, 9d};
+ protected double[][] mat1 = {{1d, 2d, 3d}, {4d, 5d, 6d},{ 7d, 8d, 9d}};
+
+ // tolerances
+ protected double entryTolerance = 10E-16;
+ protected double normTolerance = 10E-14;
+
+ // Testclass to test the RealVector interface
+ // only with enough content to support the test
+ public class RealVectorTestImpl implements RealVector, Serializable {
+
+ /** Serializable version identifier. */
+ private static final long serialVersionUID = 8731816072271374422L;
+
+ /** Entries of the vector. */
+ protected double data[];
+
+ public RealVectorTestImpl(double[] d) {
+ data = d.clone();
+ }
+
+ private UnsupportedOperationException unsupported() {
+ return new UnsupportedOperationException("Not supported, unneeded for test purposes");
+ }
+
+ public RealVector copy() {
+ throw unsupported();
+ }
+
+ public RealVector add(RealVector v) throws IllegalArgumentException {
+ throw unsupported();
+ }
+
+ public RealVector subtract(RealVector v) throws IllegalArgumentException {
+ throw unsupported();
+ }
+
+ public RealVector mapAdd(double d) {
+ throw unsupported();
+ }
+
+ public RealVector mapAddToSelf(double d) {
+ throw unsupported();
+ }
+
+ public RealVector mapSubtract(double d) {
+ throw unsupported();
+ }
+
+ public RealVector mapSubtractToSelf(double d) {
+ throw unsupported();
+ }
+
+ public RealVector mapMultiply(double d) {
+ double[] out = new double[data.length];
+ for (int i = 0; i < data.length; i++) {
+ out[i] = data[i] * d;
+ }
+ return new RealVectorImpl(out);
+ }
+
+ public RealVector mapMultiplyToSelf(double d) {
+ throw unsupported();
+ }
+
+ public RealVector mapDivide(double d) {
+ throw unsupported();
+ }
+
+ public RealVector mapDivideToSelf(double d) {
+ throw unsupported();
+ }
+
+ public RealVector mapPow(double d) {
+ throw unsupported();
+ }
+
+ public RealVector mapPowToSelf(double d) {
+ throw unsupported();
+ }
+
+ public RealVector mapExp() {
+ throw unsupported();
+ }
+
+ public RealVector mapExpToSelf() {
+ throw unsupported();
+ }
+
+ public RealVector mapExpm1() {
+ throw unsupported();
+ }
+
+ public RealVector mapExpm1ToSelf() {
+ throw unsupported();
+ }
+
+ public RealVector mapLog() {
+ throw unsupported();
+ }
+
+ public RealVector mapLogToSelf() {
+ throw unsupported();
+ }
+
+ public RealVector mapLog10() {
+ throw unsupported();
+ }
+
+ public RealVector mapLog10ToSelf() {
+ throw unsupported();
+ }
+
+ public RealVector mapLog1p() {
+ throw unsupported();
+ }
+
+ public RealVector mapLog1pToSelf() {
+ throw unsupported();
+ }
+
+ public RealVector mapCosh() {
+ throw unsupported();
+ }
+
+ public RealVector mapCoshToSelf() {
+ throw unsupported();
+ }
+
+ public RealVector mapSinh() {
+ throw unsupported();
+ }
+
+ public RealVector mapSinhToSelf() {
+ throw unsupported();
+ }
+
+ public RealVector mapTanh() {
+ throw unsupported();
+ }
+
+ public RealVector mapTanhToSelf() {
+ throw unsupported();
+ }
+
+ public RealVector mapCos() {
+ throw unsupported();
+ }
+
+ public RealVector mapCosToSelf() {
+ throw unsupported();
+ }
+
+ public RealVector mapSin() {
+ throw unsupported();
+ }
+
+ public RealVector mapSinToSelf() {
+ throw unsupported();
+ }
+
+ public RealVector mapTan() {
+ throw unsupported();
+ }
+
+ public RealVector mapTanToSelf() {
+ throw unsupported();
+ }
+
+ public RealVector mapAcos() {
+ throw unsupported();
+ }
+
+ public RealVector mapAcosToSelf() {
+ throw unsupported();
+ }
+
+ public RealVector mapAsin() {
+ throw unsupported();
+ }
+
+ public RealVector mapAsinToSelf() {
+ throw unsupported();
+ }
+
+ public RealVector mapAtan() {
+ throw unsupported();
+ }
+
+ public RealVector mapAtanToSelf() {
+ throw unsupported();
+ }
+
+ public RealVector mapInv() {
+ throw unsupported();
+ }
+
+ public RealVector mapInvToSelf() {
+ throw unsupported();
+ }
+
+ public RealVector mapAbs() {
+ throw unsupported();
+ }
+
+ public RealVector mapAbsToSelf() {
+ throw unsupported();
+ }
+
+ public RealVector mapSqrt() {
+ throw unsupported();
+ }
+
+ public RealVector mapSqrtToSelf() {
+ throw unsupported();
+ }
+
+ public RealVector mapCbrt() {
+ throw unsupported();
+ }
+
+ public RealVector mapCbrtToSelf() {
+ throw unsupported();
+ }
+
+ public RealVector mapCeil() {
+ throw unsupported();
+ }
+
+ public RealVector mapCeilToSelf() {
+ throw unsupported();
+ }
+
+ public RealVector mapFloor() {
+ throw unsupported();
+ }
+
+ public RealVector mapFloorToSelf() {
+ throw unsupported();
+ }
+
+ public RealVector mapRint() {
+ throw unsupported();
+ }
+
+ public RealVector mapRintToSelf() {
+ throw unsupported();
+ }
+
+ public RealVector mapSignum() {
+ throw unsupported();
+ }
+
+ public RealVector mapSignumToSelf() {
+ throw unsupported();
+ }
+
+ public RealVector mapUlp() {
+ throw unsupported();
+ }
+
+ public RealVector mapUlpToSelf() {
+ throw unsupported();
+ }
+
+ public RealVector ebeMultiply(RealVector v) throws IllegalArgumentException {
+ throw unsupported();
+ }
+
+ public RealVector ebeDivide(RealVector v) throws IllegalArgumentException {
+ throw unsupported();
+ }
+
+ public double[] getData() {
+ throw unsupported();
+ }
+
+ public double dotProduct(RealVector v) throws IllegalArgumentException {
+
+ // checkVectorDimensions(v);
+ double dot = 0;
+ for (int i = 0; i < data.length; i++) {
+ dot += data[i] * v.getEntry(i);
+ }
+ return dot;
+ }
+
+ public double getNorm() {
+ throw unsupported();
+ }
+
+ public double getL1Norm() {
+ throw unsupported();
+ }
+
+ public double getLInfNorm() {
+ throw unsupported();
+ }
+
+ public double getDistance(RealVector v) throws IllegalArgumentException {
+ throw unsupported();
+ }
+
+ public double getL1Distance(RealVector v) throws IllegalArgumentException {
+ throw unsupported();
+ }
+
+ public double getLInfDistance(RealVector v) throws IllegalArgumentException {
+ throw unsupported();
+ }
+
+ public RealVector unitVector() {
+ throw unsupported();
+ }
+
+ public void unitize() {
+ throw unsupported();
+ }
+
+ public RealVector projection(RealVector v) throws IllegalArgumentException {
+ throw unsupported();
+ }
+
+ public RealMatrix outerProduct(RealVector v) throws IllegalArgumentException {
+ throw unsupported();
+ }
+
+ public double getEntry(int index) throws MatrixIndexException {
+ return data[index];
+ }
+
+ public int getDimension() {
+ return data.length;
+ }
+
+ public RealVector append(RealVector v) {
+ throw unsupported();
+ }
+
+ public RealVector append(double d) {
+ throw unsupported();
+ }
+
+ public RealVector append(double[] a) {
+ throw unsupported();
+ }
+
+ public RealVector get(int index, int n) throws MatrixIndexException {
+ throw unsupported();
+ }
+
+ public void set(int index, double value) throws MatrixIndexException {
+ throw unsupported();
+ }
+
+ public void set(int index, RealVector v) throws MatrixIndexException {
+ throw unsupported();
+ }
+
+ public void set(double value) {
+ throw unsupported();
+ }
+
+ public double[] toArray() {
+ throw unsupported();
+ }
+
+ public boolean isNaN() {
+ throw unsupported();
+ }
+
+ public boolean isInfinite() {
+ throw unsupported();
+ }
+
+ }
+
+ public static Test suite() {
+ TestSuite suite = new TestSuite(RealVectorImplTest.class);
+ suite.setName("RealVectorImpl Tests");
+ return suite;
+ }
+
+ public void testConstructors() {
+
+ RealVectorImpl v0 = new RealVectorImpl();
+ assertEquals("testData len", 0, v0.getDimension());
+
+ RealVectorImpl v1 = new RealVectorImpl(7);
+ assertEquals("testData len", 7, v1.getDimension());
+ assertEquals("testData is 0.0 ", 0.0, v1.getEntry(6));
+
+ RealVectorImpl v2 = new RealVectorImpl(5, 1.23);
+ assertEquals("testData len", 5, v2.getDimension());
+ assertEquals("testData is 1.23 ", 1.23, v2.getEntry(4));
+
+ RealVectorImpl v3 = new RealVectorImpl(vec1);
+ assertEquals("testData len", 3, v3.getDimension());
+ assertEquals("testData is 2.0 ", 2.0, v3.getEntry(1));
+
+ RealVectorImpl v4 = new RealVectorImpl(vec4, 3, 2);
+ assertEquals("testData len", 2, v4.getDimension());
+ assertEquals("testData is 4.0 ", 4.0, v4.getEntry(0));
+ try {
+ new RealVectorImpl(vec4, 8, 3);
+ fail("IllegalArgumentException expected");
+ } catch (IllegalArgumentException ex) {
+ // expected behavior
+ } catch (Exception e) {
+ fail("wrong exception caught");
+ }
+
+ RealVector v5_i = new RealVectorImpl(dvec1);
+ assertEquals("testData len", 9, v5_i.getDimension());
+ assertEquals("testData is 9.0 ", 9.0, v5_i.getEntry(8));
+
+ RealVectorImpl v5 = new RealVectorImpl(dvec1);
+ assertEquals("testData len", 9, v5.getDimension());
+ assertEquals("testData is 9.0 ", 9.0, v5.getEntry(8));
+
+ RealVectorImpl v6 = new RealVectorImpl(dvec1, 3, 2);
+ assertEquals("testData len", 2, v6.getDimension());
+ assertEquals("testData is 4.0 ", 4.0, v6.getEntry(0));
+ try {
+ new RealVectorImpl(dvec1, 8, 3);
+ fail("IllegalArgumentException expected");
+ } catch (IllegalArgumentException ex) {
+ // expected behavior
+ } catch (Exception e) {
+ fail("wrong exception caught");
+ }
+
+ RealVectorImpl v7 = new RealVectorImpl(v1);
+ assertEquals("testData len", 7, v7.getDimension());
+ assertEquals("testData is 0.0 ", 0.0, v7.getEntry(6));
+
+ RealVectorTestImpl v7_i = new RealVectorTestImpl(vec1);
+
+ RealVectorImpl v7_2 = new RealVectorImpl(v7_i);
+ assertEquals("testData len", 3, v7_2.getDimension());
+ assertEquals("testData is 0.0 ", 2.0d, v7_2.getEntry(1));
+
+ RealVectorImpl v8 = new RealVectorImpl(v1, true);
+ assertEquals("testData len", 7, v8.getDimension());
+ assertEquals("testData is 0.0 ", 0.0, v8.getEntry(6));
+ assertNotSame("testData not same object ", v1.data, v8.data);
+
+ RealVectorImpl v8_2 = new RealVectorImpl(v1, false);
+ assertEquals("testData len", 7, v8_2.getDimension());
+ assertEquals("testData is 0.0 ", 0.0, v8_2.getEntry(6));
+ assertEquals("testData same object ", v1.data, v8_2.data);
+
+ RealVectorImpl v9 = new RealVectorImpl(v1, v3);
+ assertEquals("testData len", 10, v9.getDimension());
+ assertEquals("testData is 1.0 ", 1.0, v9.getEntry(7));
+
+ }
+
+ public void testDataInOut() {
+
+ RealVectorImpl v1 = new RealVectorImpl(vec1);
+ RealVectorImpl v2 = new RealVectorImpl(vec2);
+ RealVectorImpl v4 = new RealVectorImpl(vec4);
+ RealVectorTestImpl v2_t = new RealVectorTestImpl(vec2);
+
+ RealVector v_append_1 = v1.append(v2);
+ assertEquals("testData len", 6, v_append_1.getDimension());
+ assertEquals("testData is 4.0 ", 4.0, v_append_1.getEntry(3));
+
+ RealVector v_append_2 = v1.append(2.0);
+ assertEquals("testData len", 4, v_append_2.getDimension());
+ assertEquals("testData is 2.0 ", 2.0, v_append_2.getEntry(3));
+
+ RealVector v_append_3 = v1.append(vec2);
+ assertEquals("testData len", 6, v_append_3.getDimension());
+ assertEquals("testData is ", 4.0, v_append_3.getEntry(3));
+
+ RealVector v_append_4 = v1.append(v2_t);
+ assertEquals("testData len", 6, v_append_4.getDimension());
+ assertEquals("testData is 4.0 ", 4.0, v_append_4.getEntry(3));
+
+ RealVector v_copy = v1.copy();
+ assertEquals("testData len", 3, v_copy.getDimension());
+ assertNotSame("testData not same object ", v1.data, v_copy.getData());
+
+ double[] a_double = v1.toArray();
+ assertEquals("testData len", 3, a_double.length);
+ assertNotSame("testData not same object ", v1.data, a_double);
+
+
+// RealVectorImpl vout4 = (RealVectorImpl) v1.clone();
+// assertEquals("testData len", 3, vout4.getDimension());
+// assertEquals("testData not same object ", v1.data, vout4.data);
+
+
+ RealVector vout5 = v4.get(3, 3);
+ assertEquals("testData len", 3, vout5.getDimension());
+ assertEquals("testData is 4.0 ", 5.0, vout5.getEntry(1));
+ try {
+ v4.get(3, 7);
+ fail("MatrixIndexException expected");
+ } catch (MatrixIndexException ex) {
+ // expected behavior
+ } catch (Exception e) {
+ fail("wrong exception caught");
+ }
+
+ RealVectorImpl v_set1 = (RealVectorImpl) v1.copy();
+ v_set1.set(1, 11.0);
+ assertEquals("testData is 11.0 ", 11.0, v_set1.getEntry(1));
+ try {
+ v_set1.set(3, 11.0);
+ fail("MatrixIndexException expected");
+ } catch (MatrixIndexException ex) {
+ // expected behavior
+ } catch (Exception e) {
+ fail("wrong exception caught");
+ }
+
+ RealVectorImpl v_set2 = (RealVectorImpl) v4.copy();
+ v_set2.set(3, v1);
+ assertEquals("testData is 1.0 ", 1.0, v_set2.getEntry(3));
+ assertEquals("testData is 7.0 ", 7.0, v_set2.getEntry(6));
+ try {
+ v_set2.set(7, v1);
+ fail("MatrixIndexException expected");
+ } catch (MatrixIndexException ex) {
+ // expected behavior
+ } catch (Exception e) {
+ fail("wrong exception caught");
+ }
+
+ RealVectorImpl v_set3 = (RealVectorImpl) v1.copy();
+ v_set3.set(13.0);
+ assertEquals("testData is 13.0 ", 13.0, v_set3.getEntry(2));
+
+ try {
+ v_set3.getEntry(23);
+ fail("ArrayIndexOutOfBoundsException expected");
+ } catch (ArrayIndexOutOfBoundsException ex) {
+ // expected behavior
+ } catch (Exception e) {
+ fail("wrong exception caught");
+ }
+
+ RealVectorImpl v_set4 = (RealVectorImpl) v4.copy();
+ v_set4.set(3, v2_t);
+ assertEquals("testData is 1.0 ", 4.0, v_set4.getEntry(3));
+ assertEquals("testData is 7.0 ", 7.0, v_set4.getEntry(6));
+ try {
+ v_set4.set(7, v2_t);
+ fail("MatrixIndexException expected");
+ } catch (MatrixIndexException ex) {
+ // expected behavior
+ } catch (Exception e) {
+ fail("wrong exception caught");
+ }
+
+
+ RealVectorImpl vout10 = (RealVectorImpl) v1.copy();
+ RealVectorImpl vout10_2 = (RealVectorImpl) v1.copy();
+ assertEquals(vout10, vout10_2);
+ vout10_2.set(0, 1.1);
+ assertNotSame(vout10, vout10_2);
+
+ }
+
+ public void testMapFunctions() {
+ RealVectorImpl v1 = new RealVectorImpl(vec1);
+
+ //octave = v1 .+ 2.0
+ RealVector v_mapAdd = v1.mapAdd(2.0d);
+ double[] result_mapAdd = {3d, 4d, 5d};
+ assertClose("compare vectors" ,result_mapAdd,v_mapAdd.getData(),normTolerance);
+
+ //octave = v1 .+ 2.0
+ RealVector v_mapAddToSelf = v1.copy();
+ v_mapAddToSelf.mapAddToSelf(2.0d);
+ double[] result_mapAddToSelf = {3d, 4d, 5d};
+ assertClose("compare vectors" ,result_mapAddToSelf,v_mapAddToSelf.getData(),normTolerance);
+
+ //octave = v1 .- 2.0
+ RealVector v_mapSubtract = v1.mapSubtract(2.0d);
+ double[] result_mapSubtract = {-1d, 0d, 1d};
+ assertClose("compare vectors" ,result_mapSubtract,v_mapSubtract.getData(),normTolerance);
+
+ //octave = v1 .- 2.0
+ RealVector v_mapSubtractToSelf = v1.copy();
+ v_mapSubtractToSelf.mapSubtractToSelf(2.0d);
+ double[] result_mapSubtractToSelf = {-1d, 0d, 1d};
+ assertClose("compare vectors" ,result_mapSubtractToSelf,v_mapSubtractToSelf.getData(),normTolerance);
+
+ //octave = v1 .* 2.0
+ RealVector v_mapMultiply = v1.mapMultiply(2.0d);
+ double[] result_mapMultiply = {2d, 4d, 6d};
+ assertClose("compare vectors" ,result_mapMultiply,v_mapMultiply.getData(),normTolerance);
+
+ //octave = v1 .* 2.0
+ RealVector v_mapMultiplyToSelf = v1.copy();
+ v_mapMultiplyToSelf.mapMultiplyToSelf(2.0d);
+ double[] result_mapMultiplyToSelf = {2d, 4d, 6d};
+ assertClose("compare vectors" ,result_mapMultiplyToSelf,v_mapMultiplyToSelf.getData(),normTolerance);
+
+ //octave = v1 ./ 2.0
+ RealVector v_mapDivide = v1.mapDivide(2.0d);
+ double[] result_mapDivide = {.5d, 1d, 1.5d};
+ assertClose("compare vectors" ,result_mapDivide,v_mapDivide.getData(),normTolerance);
+
+ //octave = v1 ./ 2.0
+ RealVector v_mapDivideToSelf = v1.copy();
+ v_mapDivideToSelf.mapDivideToSelf(2.0d);
+ double[] result_mapDivideToSelf = {.5d, 1d, 1.5d};
+ assertClose("compare vectors" ,result_mapDivideToSelf,v_mapDivideToSelf.getData(),normTolerance);
+
+ //octave = v1 .^ 2.0
+ RealVector v_mapPow = v1.mapPow(2.0d);
+ double[] result_mapPow = {1d, 4d, 9d};
+ assertClose("compare vectors" ,result_mapPow,v_mapPow.getData(),normTolerance);
+
+ //octave = v1 .^ 2.0
+ RealVector v_mapPowToSelf = v1.copy();
+ v_mapPowToSelf.mapPowToSelf(2.0d);
+ double[] result_mapPowToSelf = {1d, 4d, 9d};
+ assertClose("compare vectors" ,result_mapPowToSelf,v_mapPowToSelf.getData(),normTolerance);
+
+ //octave = exp(v1)
+ RealVector v_mapExp = v1.mapExp();
+ double[] result_mapExp = {2.718281828459045e+00d,7.389056098930650e+00d, 2.008553692318767e+01d};
+ assertClose("compare vectors" ,result_mapExp,v_mapExp.getData(),normTolerance);
+
+ //octave = exp(v1)
+ RealVector v_mapExpToSelf = v1.copy();
+ v_mapExpToSelf.mapExpToSelf();
+ double[] result_mapExpToSelf = {2.718281828459045e+00d,7.389056098930650e+00d, 2.008553692318767e+01d};
+ assertClose("compare vectors" ,result_mapExpToSelf,v_mapExpToSelf.getData(),normTolerance);
+
+
+ //octave = ???
+ RealVector v_mapExpm1 = v1.mapExpm1();
+ double[] result_mapExpm1 = {1.718281828459045d,6.38905609893065d, 19.085536923187668d};
+ assertClose("compare vectors" ,result_mapExpm1,v_mapExpm1.getData(),normTolerance);
+
+ //octave = ???
+ RealVector v_mapExpm1ToSelf = v1.copy();
+ v_mapExpm1ToSelf.mapExpm1ToSelf();
+ double[] result_mapExpm1ToSelf = {1.718281828459045d,6.38905609893065d, 19.085536923187668d};
+ assertClose("compare vectors" ,result_mapExpm1ToSelf,v_mapExpm1ToSelf.getData(),normTolerance);
+
+ //octave = log(v1)
+ RealVector v_mapLog = v1.mapLog();
+ double[] result_mapLog = {0d,6.931471805599453e-01d, 1.098612288668110e+00d};
+ assertClose("compare vectors" ,result_mapLog,v_mapLog.getData(),normTolerance);
+
+ //octave = log(v1)
+ RealVector v_mapLogToSelf = v1.copy();
+ v_mapLogToSelf.mapLogToSelf();
+ double[] result_mapLogToSelf = {0d,6.931471805599453e-01d, 1.098612288668110e+00d};
+ assertClose("compare vectors" ,result_mapLogToSelf,v_mapLogToSelf.getData(),normTolerance);
+
+ //octave = log10(v1)
+ RealVector v_mapLog10 = v1.mapLog10();
+ double[] result_mapLog10 = {0d,3.010299956639812e-01d, 4.771212547196624e-01d};
+ assertClose("compare vectors" ,result_mapLog10,v_mapLog10.getData(),normTolerance);
+
+ //octave = log(v1)
+ RealVector v_mapLog10ToSelf = v1.copy();
+ v_mapLog10ToSelf.mapLog10ToSelf();
+ double[] result_mapLog10ToSelf = {0d,3.010299956639812e-01d, 4.771212547196624e-01d};
+ assertClose("compare vectors" ,result_mapLog10ToSelf,v_mapLog10ToSelf.getData(),normTolerance);
+
+ //octave = ???
+ RealVector v_mapLog1p = v1.mapLog1p();
+ double[] result_mapLog1p = {0.6931471805599453d,1.0986122886681096d,1.3862943611198906d};
+ assertClose("compare vectors" ,result_mapLog1p,v_mapLog1p.getData(),normTolerance);
+
+ //octave = ???
+ RealVector v_mapLog1pToSelf = v1.copy();
+ v_mapLog1pToSelf.mapLog1pToSelf();
+ double[] result_mapLog1pToSelf = {0.6931471805599453d,1.0986122886681096d,1.3862943611198906d};
+ assertClose("compare vectors" ,result_mapLog1pToSelf,v_mapLog1pToSelf.getData(),normTolerance);
+
+ //octave = cosh(v1)
+ RealVector v_mapCosh = v1.mapCosh();
+ double[] result_mapCosh = {1.543080634815244e+00d,3.762195691083631e+00d, 1.006766199577777e+01d};
+ assertClose("compare vectors" ,result_mapCosh,v_mapCosh.getData(),normTolerance);
+
+ //octave = cosh(v1)
+ RealVector v_mapCoshToSelf = v1.copy();
+ v_mapCoshToSelf.mapCoshToSelf();
+ double[] result_mapCoshToSelf = {1.543080634815244e+00d,3.762195691083631e+00d, 1.006766199577777e+01d};
+ assertClose("compare vectors" ,result_mapCoshToSelf,v_mapCoshToSelf.getData(),normTolerance);
+
+ //octave = sinh(v1)
+ RealVector v_mapSinh = v1.mapSinh();
+ double[] result_mapSinh = {1.175201193643801e+00d,3.626860407847019e+00d, 1.001787492740990e+01d};
+ assertClose("compare vectors" ,result_mapSinh,v_mapSinh.getData(),normTolerance);
+
+ //octave = sinh(v1)
+ RealVector v_mapSinhToSelf = v1.copy();
+ v_mapSinhToSelf.mapSinhToSelf();
+ double[] result_mapSinhToSelf = {1.175201193643801e+00d,3.626860407847019e+00d, 1.001787492740990e+01d};
+ assertClose("compare vectors" ,result_mapSinhToSelf,v_mapSinhToSelf.getData(),normTolerance);
+
+ //octave = tanh(v1)
+ RealVector v_mapTanh = v1.mapTanh();
+ double[] result_mapTanh = {7.615941559557649e-01d,9.640275800758169e-01d,9.950547536867305e-01d};
+ assertClose("compare vectors" ,result_mapTanh,v_mapTanh.getData(),normTolerance);
+
+ //octave = tanh(v1)
+ RealVector v_mapTanhToSelf = v1.copy();
+ v_mapTanhToSelf.mapTanhToSelf();
+ double[] result_mapTanhToSelf = {7.615941559557649e-01d,9.640275800758169e-01d,9.950547536867305e-01d};
+ assertClose("compare vectors" ,result_mapTanhToSelf,v_mapTanhToSelf.getData(),normTolerance);
+
+ //octave = cos(v1)
+ RealVector v_mapCos = v1.mapCos();
+ double[] result_mapCos = {5.403023058681398e-01d,-4.161468365471424e-01d, -9.899924966004454e-01d};
+ assertClose("compare vectors" ,result_mapCos,v_mapCos.getData(),normTolerance);
+
+ //octave = cos(v1)
+ RealVector v_mapCosToSelf = v1.copy();
+ v_mapCosToSelf.mapCosToSelf();
+ double[] result_mapCosToSelf = {5.403023058681398e-01d,-4.161468365471424e-01d, -9.899924966004454e-01d};
+ assertClose("compare vectors" ,result_mapCosToSelf,v_mapCosToSelf.getData(),normTolerance);
+
+ //octave = sin(v1)
+ RealVector v_mapSin = v1.mapSin();
+ double[] result_mapSin = {8.414709848078965e-01d,9.092974268256817e-01d,1.411200080598672e-01d};
+ assertClose("compare vectors" ,result_mapSin,v_mapSin.getData(),normTolerance);
+
+ //octave = sin(v1)
+ RealVector v_mapSinToSelf = v1.copy();
+ v_mapSinToSelf.mapSinToSelf();
+ double[] result_mapSinToSelf = {8.414709848078965e-01d,9.092974268256817e-01d,1.411200080598672e-01d};
+ assertClose("compare vectors" ,result_mapSinToSelf,v_mapSinToSelf.getData(),normTolerance);
+
+ //octave = tan(v1)
+ RealVector v_mapTan = v1.mapTan();
+ double[] result_mapTan = {1.557407724654902e+00d,-2.185039863261519e+00d,-1.425465430742778e-01d};
+ assertClose("compare vectors" ,result_mapTan,v_mapTan.getData(),normTolerance);
+
+ //octave = tan(v1)
+ RealVector v_mapTanToSelf = v1.copy();
+ v_mapTanToSelf.mapTanToSelf();
+ double[] result_mapTanToSelf = {1.557407724654902e+00d,-2.185039863261519e+00d,-1.425465430742778e-01d};
+ assertClose("compare vectors" ,result_mapTanToSelf,v_mapTanToSelf.getData(),normTolerance);
+
+ double[] vat_a = {0d, 0.5d, 1.0d};
+ RealVectorImpl vat = new RealVectorImpl(vat_a);
+
+ //octave = acos(vat)
+ RealVector v_mapAcos = vat.mapAcos();
+ double[] result_mapAcos = {1.570796326794897e+00d,1.047197551196598e+00d, 0.0d};
+ assertClose("compare vectors" ,result_mapAcos,v_mapAcos.getData(),normTolerance);
+
+ //octave = acos(vat)
+ RealVector v_mapAcosToSelf = vat.copy();
+ v_mapAcosToSelf.mapAcosToSelf();
+ double[] result_mapAcosToSelf = {1.570796326794897e+00d,1.047197551196598e+00d, 0.0d};
+ assertClose("compare vectors" ,result_mapAcosToSelf,v_mapAcosToSelf.getData(),normTolerance);
+
+ //octave = asin(vat)
+ RealVector v_mapAsin = vat.mapAsin();
+ double[] result_mapAsin = {0.0d,5.235987755982989e-01d,1.570796326794897e+00d};
+ assertClose("compare vectors" ,result_mapAsin,v_mapAsin.getData(),normTolerance);
+
+ //octave = asin(vat)
+ RealVector v_mapAsinToSelf = vat.copy();
+ v_mapAsinToSelf.mapAsinToSelf();
+ double[] result_mapAsinToSelf = {0.0d,5.235987755982989e-01d,1.570796326794897e+00d};
+ assertClose("compare vectors" ,result_mapAsinToSelf,v_mapAsinToSelf.getData(),normTolerance);
+
+ //octave = atan(vat)
+ RealVector v_mapAtan = vat.mapAtan();
+ double[] result_mapAtan = {0.0d,4.636476090008061e-01d,7.853981633974483e-01d};
+ assertClose("compare vectors" ,result_mapAtan,v_mapAtan.getData(),normTolerance);
+
+ //octave = atan(vat)
+ RealVector v_mapAtanToSelf = vat.copy();
+ v_mapAtanToSelf.mapAtanToSelf();
+ double[] result_mapAtanToSelf = {0.0d,4.636476090008061e-01d,7.853981633974483e-01d};
+ assertClose("compare vectors" ,result_mapAtanToSelf,v_mapAtanToSelf.getData(),normTolerance);
+
+ //octave = v1 .^-1
+ RealVector v_mapInv = v1.mapInv();
+ double[] result_mapInv = {1d,0.5d,3.333333333333333e-01d};
+ assertClose("compare vectors" ,result_mapInv,v_mapInv.getData(),normTolerance);
+
+ //octave = v1 .^-1
+ RealVector v_mapInvToSelf = v1.copy();
+ v_mapInvToSelf.mapInvToSelf();
+ double[] result_mapInvToSelf = {1d,0.5d,3.333333333333333e-01d};
+ assertClose("compare vectors" ,result_mapInvToSelf,v_mapInvToSelf.getData(),normTolerance);
+
+ double[] abs_a = {-1.0d, 0.0d, 1.0d};
+ RealVectorImpl abs_v = new RealVectorImpl(abs_a);
+
+ //octave = abs(abs_v)
+ RealVector v_mapAbs = abs_v.mapAbs();
+ double[] result_mapAbs = {1d,0d,1d};
+ assertClose("compare vectors" ,result_mapAbs,v_mapAbs.getData(),normTolerance);
+
+ //octave = abs(abs_v)
+ RealVector v_mapAbsToSelf = abs_v.copy();
+ v_mapAbsToSelf.mapAbsToSelf();
+ double[] result_mapAbsToSelf = {1d,0d,1d};
+ assertClose("compare vectors" ,result_mapAbsToSelf,v_mapAbsToSelf.getData(),normTolerance);
+
+ //octave = sqrt(v1)
+ RealVector v_mapSqrt = v1.mapSqrt();
+ double[] result_mapSqrt = {1d,1.414213562373095e+00d,1.732050807568877e+00d};
+ assertClose("compare vectors" ,result_mapSqrt,v_mapSqrt.getData(),normTolerance);
+
+ //octave = sqrt(v1)
+ RealVector v_mapSqrtToSelf = v1.copy();
+ v_mapSqrtToSelf.mapSqrtToSelf();
+ double[] result_mapSqrtToSelf = {1d,1.414213562373095e+00d,1.732050807568877e+00d};
+ assertClose("compare vectors" ,result_mapSqrtToSelf,v_mapSqrtToSelf.getData(),normTolerance);
+
+ double[] cbrt_a = {-2.0d, 0.0d, 2.0d};
+ RealVectorImpl cbrt_v = new RealVectorImpl(cbrt_a);
+
+ //octave = ???
+ RealVector v_mapCbrt = cbrt_v.mapCbrt();
+ double[] result_mapCbrt = {-1.2599210498948732d,0d,1.2599210498948732d};
+ assertClose("compare vectors" ,result_mapCbrt,v_mapCbrt.getData(),normTolerance);
+
+ //octave = ???
+ RealVector v_mapCbrtToSelf = cbrt_v.copy();
+ v_mapCbrtToSelf.mapCbrtToSelf();
+ double[] result_mapCbrtToSelf = {-1.2599210498948732d,0d,1.2599210498948732d};
+ assertClose("compare vectors" ,result_mapCbrtToSelf,v_mapCbrtToSelf.getData(),normTolerance);
+
+ double[] ceil_a = {-1.1d, 0.9d, 1.1d};
+ RealVectorImpl ceil_v = new RealVectorImpl(ceil_a);
+
+ //octave = ceil(ceil_v)
+ RealVector v_mapCeil = ceil_v.mapCeil();
+ double[] result_mapCeil = {-1d,1d,2d};
+ assertClose("compare vectors" ,result_mapCeil,v_mapCeil.getData(),normTolerance);
+
+ //octave = ceil(ceil_v)
+ RealVector v_mapCeilToSelf = ceil_v.copy();
+ v_mapCeilToSelf.mapCeilToSelf();
+ double[] result_mapCeilToSelf = {-1d,1d,2d};
+ assertClose("compare vectors" ,result_mapCeilToSelf,v_mapCeilToSelf.getData(),normTolerance);
+
+ //octave = floor(ceil_v)
+ RealVector v_mapFloor = ceil_v.mapFloor();
+ double[] result_mapFloor = {-2d,0d,1d};
+ assertClose("compare vectors" ,result_mapFloor,v_mapFloor.getData(),normTolerance);
+
+ //octave = floor(ceil_v)
+ RealVector v_mapFloorToSelf = ceil_v.copy();
+ v_mapFloorToSelf.mapFloorToSelf();
+ double[] result_mapFloorToSelf = {-2d,0d,1d};
+ assertClose("compare vectors" ,result_mapFloorToSelf,v_mapFloorToSelf.getData(),normTolerance);
+
+ //octave = ???
+ RealVector v_mapRint = ceil_v.mapRint();
+ double[] result_mapRint = {-1d,1d,1d};
+ assertClose("compare vectors" ,result_mapRint,v_mapRint.getData(),normTolerance);
+
+ //octave = ???
+ RealVector v_mapRintToSelf = ceil_v.copy();
+ v_mapRintToSelf.mapRintToSelf();
+ double[] result_mapRintToSelf = {-1d,1d,1d};
+ assertClose("compare vectors" ,result_mapRintToSelf,v_mapRintToSelf.getData(),normTolerance);
+
+ //octave = ???
+ RealVector v_mapSignum = ceil_v.mapSignum();
+ double[] result_mapSignum = {-1d,1d,1d};
+ assertClose("compare vectors" ,result_mapSignum,v_mapSignum.getData(),normTolerance);
+
+ //octave = ???
+ RealVector v_mapSignumToSelf = ceil_v.copy();
+ v_mapSignumToSelf.mapSignumToSelf();
+ double[] result_mapSignumToSelf = {-1d,1d,1d};
+ assertClose("compare vectors" ,result_mapSignumToSelf,v_mapSignumToSelf.getData(),normTolerance);
+
+
+ // Is with the used resolutions of limited value as test
+ //octave = ???
+ RealVector v_mapUlp = ceil_v.mapUlp();
+ double[] result_mapUlp = {2.220446049250313E-16d,1.1102230246251565E-16d,2.220446049250313E-16d};
+ assertClose("compare vectors" ,result_mapUlp,v_mapUlp.getData(),normTolerance);
+
+ //octave = ???
+ RealVector v_mapUlpToSelf = ceil_v.copy();
+ v_mapUlpToSelf.mapUlpToSelf();
+ double[] result_mapUlpToSelf = {2.220446049250313E-16d,1.1102230246251565E-16d,2.220446049250313E-16d};
+ assertClose("compare vectors" ,result_mapUlpToSelf,v_mapUlpToSelf.getData(),normTolerance);
+
+ }
+
+ public void testBasicFunctions() {
+ RealVectorImpl v1 = new RealVectorImpl(vec1);
+ RealVectorImpl v2 = new RealVectorImpl(vec2);
+ RealVectorImpl v_null = new RealVectorImpl(vec_null);
+
+ RealVectorTestImpl v2_t = new RealVectorTestImpl(vec2);
+
+ //octave = sqrt(sumsq(v1))
+ double d_getNorm = v1.getNorm();
+ assertEquals("compare values ", 3.7416573867739413,d_getNorm);
+
+ double d_getL1Norm = v1.getL1Norm();
+ assertEquals("compare values ",6.0, d_getL1Norm);
+
+ double d_getLInfNorm = v1.getLInfNorm();
+ assertEquals("compare values ",6.0, d_getLInfNorm);
+
+ //octave = sqrt(sumsq(v1-v2))
+ double dist = v1.getDistance(v2);
+ assertEquals("compare values ",v1.subtract(v2).getNorm(), dist );
+
+ //octave = sqrt(sumsq(v1-v2))
+ double dist_2 = v1.getDistance(v2_t);
+ assertEquals("compare values ", v1.subtract(v2).getNorm(),dist_2 );
+
+ //octave = ???
+ double d_getL1Distance = v1. getL1Distance(v2);
+ assertEquals("compare values ",9d, d_getL1Distance );
+
+ double d_getL1Distance_2 = v1. getL1Distance(v2_t);
+ assertEquals("compare values ",9d, d_getL1Distance_2 );
+
+ //octave = ???
+ double d_getLInfDistance = v1. getLInfDistance(v2);
+ assertEquals("compare values ",3d, d_getLInfDistance );
+
+ double d_getLInfDistance_2 = v1. getLInfDistance(v2_t);
+ assertEquals("compare values ",3d, d_getLInfDistance_2 );
+
+ //octave = v1 + v2
+ RealVectorImpl v_add = v1.add(v2);
+ double[] result_add = {5d, 7d, 9d};
+ assertClose("compare vect" ,v_add.getData(),result_add,normTolerance);
+
+ RealVectorTestImpl vt2 = new RealVectorTestImpl(vec2);
+ RealVector v_add_i = v1.add(vt2);
+ double[] result_add_i = {5d, 7d, 9d};
+ assertClose("compare vect" ,v_add_i.getData(),result_add_i,normTolerance);
+
+ //octave = v1 - v2
+ RealVectorImpl v_subtract = v1.subtract(v2);
+ double[] result_subtract = {-3d, -3d, -3d};
+ assertClose("compare vect" ,v_subtract.getData(),result_subtract,normTolerance);
+
+ RealVector v_subtract_i = v1.subtract(vt2);
+ double[] result_subtract_i = {-3d, -3d, -3d};
+ assertClose("compare vect" ,v_subtract_i.getData(),result_subtract_i,normTolerance);
+
+ // octave v1 .* v2
+ RealVectorImpl v_ebeMultiply = v1.ebeMultiply(v2);
+ double[] result_ebeMultiply = {4d, 10d, 18d};
+ assertClose("compare vect" ,v_ebeMultiply.getData(),result_ebeMultiply,normTolerance);
+
+ RealVector v_ebeMultiply_2 = v1.ebeMultiply(v2_t);
+ double[] result_ebeMultiply_2 = {4d, 10d, 18d};
+ assertClose("compare vect" ,v_ebeMultiply_2.getData(),result_ebeMultiply_2,normTolerance);
+
+ // octave v1 ./ v2
+ RealVectorImpl v_ebeDivide = v1.ebeDivide(v2);
+ double[] result_ebeDivide = {0.25d, 0.4d, 0.5d};
+ assertClose("compare vect" ,v_ebeDivide.getData(),result_ebeDivide,normTolerance);
+
+ RealVector v_ebeDivide_2 = v1.ebeDivide(v2_t);
+ double[] result_ebeDivide_2 = {0.25d, 0.4d, 0.5d};
+ assertClose("compare vect" ,v_ebeDivide_2.getData(),result_ebeDivide_2,normTolerance);
+
+ // octave dot(v1,v2)
+ double dot = v1.dotProduct(v2);
+ assertEquals("compare val ",32d, dot);
+
+ // octave dot(v1,v2_t)
+ double dot_2 = v1.dotProduct(v2_t);
+ assertEquals("compare val ",32d, dot_2);
+
+ RealMatrixImpl m_outerProduct = v1.outerProduct(v2);
+ assertEquals("compare val ",4d, m_outerProduct.getEntry(0,0));
+
+ RealMatrix m_outerProduct_2 = v1.outerProduct(v2_t);
+ assertEquals("compare val ",4d, m_outerProduct_2.getEntry(0,0));
+
+ RealVector v_unitVector = v1.unitVector();
+ RealVector v_unitVector_2 = v1.mapDivide(v1.getNorm());
+ assertClose("compare vect" ,v_unitVector.getData(),v_unitVector_2.getData(),normTolerance);
+
+ try {
+ v_null.unitVector();
+ fail("Expecting ArithmeticException");
+ } catch (ArithmeticException ex) {
+ // expected behavior
+ } catch (Exception e) {
+ fail("wrong exception caught");
+ }
+
+ RealVectorImpl v_unitize = (RealVectorImpl)v1.copy();
+ v_unitize.unitize();
+ assertClose("compare vect" ,v_unitVector_2.getData(),v_unitize.getData(),normTolerance);
+ try {
+ v_null.unitize();
+ fail("Expecting ArithmeticException");
+ } catch (ArithmeticException ex) {
+ // expected behavior
+ } catch (Exception e) {
+ fail("wrong exception caught");
+ }
+
+ RealVectorImpl v_projection = v1.projection(v2);
+ double[] result_projection = {1.662337662337662, 2.0779220779220777, 2.493506493506493};
+ assertClose("compare vect", v_projection.getData(), result_projection, normTolerance);
+
+ RealVector v_projection_2 = v1.projection(v2_t);
+ double[] result_projection_2 = {1.662337662337662, 2.0779220779220777, 2.493506493506493};
+ assertClose("compare vect", v_projection_2.getData(), result_projection_2, normTolerance);
+
+ }
+
+ public void testMisc() {
+ RealVectorImpl v1 = new RealVectorImpl(vec1);
+ RealVectorImpl v4 = new RealVectorImpl(vec4);
+ RealVector v4_2 = new RealVectorImpl(vec4);
+
+ String out1 = v1.toString();
+ assertTrue("some output ", out1.length()!=0);
+ /*
+ double[] dout1 = v1.copyOut();
+ assertEquals("testData len", 3, dout1.length);
+ assertNotSame("testData not same object ", v1.data, dout1);
+ */
+ try {
+ v1.checkVectorDimensions(2);
+ fail("IllegalArgumentException expected");
+ } catch (IllegalArgumentException ex) {
+ // expected behavior
+ } catch (Exception e) {
+ fail("wrong exception caught");
+ }
+
+ try {
+ v1.checkVectorDimensions(v4);
+ fail("IllegalArgumentException expected");
+ } catch (IllegalArgumentException ex) {
+ // expected behavior
+ } catch (Exception e) {
+ fail("wrong exception caught");
+ }
+
+ try {
+ v1.checkVectorDimensions(v4_2);
+ fail("IllegalArgumentException expected");
+ } catch (IllegalArgumentException ex) {
+ // expected behavior
+ } catch (Exception e) {
+ fail("wrong exception caught");
+ }
+
+ }
+
+ public void testPredicates() {
+
+ RealVectorImpl v = new RealVectorImpl(new double[] { 0, 1, 2 });
+
+ assertFalse(v.isNaN());
+ v.set(1, Double.NaN);
+ assertTrue(v.isNaN());
+
+ assertFalse(v.isInfinite());
+ v.set(0, Double.POSITIVE_INFINITY);
+ assertFalse(v.isInfinite());
+ v.set(1, 1);
+ assertTrue(v.isInfinite());
+
+ v.set(0, 0);
+ assertEquals(v, new RealVectorImpl(new double[] { 0, 1, 2 }));
+ assertNotSame(v, new RealVectorImpl(new double[] { 0, 1, 2 + Math.ulp(2)}));
+ assertNotSame(v, new RealVectorImpl(new double[] { 0, 1, 2, 3 }));
+
+ assertEquals(new RealVectorImpl(new double[] { Double.NaN, 1, 2 }).hashCode(),
+ new RealVectorImpl(new double[] { 0, Double.NaN, 2 }).hashCode());
+
+ assertTrue(new RealVectorImpl(new double[] { Double.NaN, 1, 2 }).hashCode() !=
+ new RealVectorImpl(new double[] { 0, 1, 2 }).hashCode());
+
+ }
+
+ /** verifies that two vectors are close (sup norm) */
+ protected void assertClose(String msg, double[] m, double[] n,
+ double tolerance) {
+ if (m.length != n.length) {
+ fail("vectors have different lengths");
+ }
+ for (int i = 0; i < m.length; i++) {
+ assertEquals(msg + " " + i + " elements differ", m[i],n[i],tolerance);
+ }
+ }
+
+}
Propchange: commons/proper/math/branches/MATH_2_0/src/test/org/apache/commons/math/linear/RealVectorImplTest.java
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