Ok, so laking add/subtract tests now. I'll try to add later, but checking in the existing tests so that [math] will at least build.
git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@775787 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
parent
5ce6c81490
commit
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@ -24,7 +24,7 @@ import org.apache.commons.math.linear.decomposition.LUDecompositionImpl;
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import org.apache.commons.math.linear.decomposition.NonSquareMatrixException;
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/**
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* Test cases for the {@link SparseRealMatrix} class.
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* Test cases for the {@link OpenMapRealMatrix} class.
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*
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* @version $Revision$ $Date: 2008-11-07 06:48:13 -0800 (Fri, 07 Nov
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* 2008) $
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@ -117,8 +117,8 @@ public final class SparseRealMatrixTest extends TestCase {
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/** test dimensions */
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public void testDimensions() {
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SparseRealMatrix m = createSparseMatrix(testData);
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SparseRealMatrix m2 = createSparseMatrix(testData2);
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OpenMapRealMatrix m = createSparseMatrix(testData);
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OpenMapRealMatrix m2 = createSparseMatrix(testData2);
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assertEquals("testData row dimension", 3, m.getRowDimension());
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assertEquals("testData column dimension", 3, m.getColumnDimension());
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assertTrue("testData is square", m.isSquare());
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@ -129,21 +129,21 @@ public final class SparseRealMatrixTest extends TestCase {
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/** test copy functions */
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public void testCopyFunctions() {
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SparseRealMatrix m1 = createSparseMatrix(testData);
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OpenMapRealMatrix m1 = createSparseMatrix(testData);
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RealMatrix m2 = m1.copy();
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assertTrue(m2 instanceof SparseRealMatrix);
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assertTrue(m2 instanceof OpenMapRealMatrix);
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assertEquals((m2), m1);
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SparseRealMatrix m3 = createSparseMatrix(testData);
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OpenMapRealMatrix m3 = createSparseMatrix(testData);
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RealMatrix m4 = m3.copy();
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assertTrue(m4 instanceof SparseRealMatrix);
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assertTrue(m4 instanceof OpenMapRealMatrix);
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assertEquals((m4), m3);
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}
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/** test add */
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public void testAdd() {
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SparseRealMatrix m = createSparseMatrix(testData);
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SparseRealMatrix mInv = createSparseMatrix(testDataInv);
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SparseRealMatrix mDataPlusInv = createSparseMatrix(testDataPlusInv);
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OpenMapRealMatrix m = createSparseMatrix(testData);
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OpenMapRealMatrix mInv = createSparseMatrix(testDataInv);
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OpenMapRealMatrix mDataPlusInv = createSparseMatrix(testDataPlusInv);
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RealMatrix mPlusMInv = m.add(mInv);
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for (int row = 0; row < m.getRowDimension(); row++) {
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for (int col = 0; col < m.getColumnDimension(); col++) {
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@ -156,8 +156,8 @@ public final class SparseRealMatrixTest extends TestCase {
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/** test add failure */
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public void testAddFail() {
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SparseRealMatrix m = createSparseMatrix(testData);
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SparseRealMatrix m2 = createSparseMatrix(testData2);
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OpenMapRealMatrix m = createSparseMatrix(testData);
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OpenMapRealMatrix m2 = createSparseMatrix(testData2);
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try {
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m.add(m2);
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fail("IllegalArgumentException expected");
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@ -168,16 +168,16 @@ public final class SparseRealMatrixTest extends TestCase {
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/** test norm */
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public void testNorm() {
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SparseRealMatrix m = createSparseMatrix(testData);
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SparseRealMatrix m2 = createSparseMatrix(testData2);
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OpenMapRealMatrix m = createSparseMatrix(testData);
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OpenMapRealMatrix m2 = createSparseMatrix(testData2);
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assertEquals("testData norm", 14d, m.getNorm(), entryTolerance);
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assertEquals("testData2 norm", 7d, m2.getNorm(), entryTolerance);
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}
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/** test m-n = m + -n */
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public void testPlusMinus() {
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SparseRealMatrix m = createSparseMatrix(testData);
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SparseRealMatrix n = createSparseMatrix(testDataInv);
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OpenMapRealMatrix m = createSparseMatrix(testData);
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OpenMapRealMatrix n = createSparseMatrix(testDataInv);
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assertClose("m-n = m + -n", m.subtract(n),
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n.scalarMultiply(-1d).add(m), entryTolerance);
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try {
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@ -190,10 +190,10 @@ public final class SparseRealMatrixTest extends TestCase {
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/** test multiply */
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public void testMultiply() {
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SparseRealMatrix m = createSparseMatrix(testData);
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SparseRealMatrix mInv = createSparseMatrix(testDataInv);
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SparseRealMatrix identity = createSparseMatrix(id);
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SparseRealMatrix m2 = createSparseMatrix(testData2);
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OpenMapRealMatrix m = createSparseMatrix(testData);
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OpenMapRealMatrix mInv = createSparseMatrix(testDataInv);
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OpenMapRealMatrix identity = createSparseMatrix(id);
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OpenMapRealMatrix m2 = createSparseMatrix(testData2);
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assertClose("inverse multiply", m.multiply(mInv), identity,
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entryTolerance);
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assertClose("inverse multiply", m.multiply(new DenseRealMatrix(testDataInv)), identity,
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@ -308,9 +308,9 @@ public final class SparseRealMatrixTest extends TestCase {
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RealMatrix m5 = createSparseMatrix(d5);
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assertClose("m3*m4=m5", m4.preMultiply(m3), m5, entryTolerance);
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SparseRealMatrix m = createSparseMatrix(testData);
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SparseRealMatrix mInv = createSparseMatrix(testDataInv);
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SparseRealMatrix identity = createSparseMatrix(id);
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OpenMapRealMatrix m = createSparseMatrix(testData);
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OpenMapRealMatrix mInv = createSparseMatrix(testDataInv);
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OpenMapRealMatrix identity = createSparseMatrix(id);
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assertClose("inverse multiply", m.preMultiply(mInv), identity,
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entryTolerance);
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assertClose("inverse multiply", mInv.preMultiply(m), identity,
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@ -542,9 +542,9 @@ public final class SparseRealMatrixTest extends TestCase {
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}
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public void testEqualsAndHashCode() {
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SparseRealMatrix m = createSparseMatrix(testData);
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SparseRealMatrix m1 = (SparseRealMatrix) m.copy();
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SparseRealMatrix mt = (SparseRealMatrix) m.transpose();
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OpenMapRealMatrix m = createSparseMatrix(testData);
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OpenMapRealMatrix m1 = (OpenMapRealMatrix) m.copy();
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OpenMapRealMatrix mt = (OpenMapRealMatrix) m.transpose();
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assertTrue(m.hashCode() != mt.hashCode());
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assertEquals(m.hashCode(), m1.hashCode());
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assertEquals(m, m);
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@ -555,15 +555,15 @@ public final class SparseRealMatrixTest extends TestCase {
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}
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public void testToString() {
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SparseRealMatrix m = createSparseMatrix(testData);
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assertEquals("SparseRealMatrix{{1.0,2.0,3.0},{2.0,5.0,3.0},{1.0,0.0,8.0}}",
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OpenMapRealMatrix m = createSparseMatrix(testData);
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assertEquals("OpenMapRealMatrix{{1.0,2.0,3.0},{2.0,5.0,3.0},{1.0,0.0,8.0}}",
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m.toString());
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m = new SparseRealMatrix(1, 1);
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assertEquals("SparseRealMatrix{{0.0}}", m.toString());
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m = new OpenMapRealMatrix(1, 1);
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assertEquals("OpenMapRealMatrix{{0.0}}", m.toString());
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}
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public void testSetSubMatrix() throws Exception {
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SparseRealMatrix m = createSparseMatrix(testData);
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OpenMapRealMatrix m = createSparseMatrix(testData);
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m.setSubMatrix(detData2, 1, 1);
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RealMatrix expected = createSparseMatrix(new double[][] {
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{ 1.0, 2.0, 3.0 }, { 2.0, 1.0, 3.0 }, { 1.0, 2.0, 4.0 } });
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assertEquals(expected, m);
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// javadoc example
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SparseRealMatrix matrix =
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OpenMapRealMatrix matrix =
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createSparseMatrix(new double[][] {
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{ 1, 2, 3, 4 }, { 5, 6, 7, 8 }, { 9, 0, 1, 2 } });
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matrix.setSubMatrix(new double[][] { { 3, 4 }, { 5, 6 } }, 1, 1);
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// expected
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}
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try {
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new SparseRealMatrix(0, 0);
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new OpenMapRealMatrix(0, 0);
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fail("expecting IllegalArgumentException");
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} catch (IllegalArgumentException e) {
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// expected
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@ -661,8 +661,8 @@ public final class SparseRealMatrixTest extends TestCase {
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}
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}
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private SparseRealMatrix createSparseMatrix(double[][] data) {
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SparseRealMatrix matrix = new SparseRealMatrix(data.length, data[0].length);
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private OpenMapRealMatrix createSparseMatrix(double[][] data) {
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OpenMapRealMatrix matrix = new OpenMapRealMatrix(data.length, data[0].length);
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for (int row = 0; row < data.length; row++) {
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for (int col = 0; col < data[row].length; col++) {
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matrix.setEntry(row, col, data[row][col]);
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@ -22,7 +22,7 @@ import junit.framework.TestCase;
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import junit.framework.TestSuite;
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/**
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* Test cases for the {@link SparseRealVector} class.
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* Test cases for the {@link OpenMapRealVector} class.
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*
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* @version $Revision: 728186 $ $Date$
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*/
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for (int i = 0; i < data.length; i++) {
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out[i] = data[i] * d;
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}
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return new SparseRealVector(out);
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return new OpenMapRealVector(out);
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}
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public RealVector mapMultiplyToSelf(double d) {
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public void testConstructors() {
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SparseRealVector v0 = new SparseRealVector();
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OpenMapRealVector v0 = new OpenMapRealVector();
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assertEquals("testData len", 0, v0.getDimension());
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SparseRealVector v1 = new SparseRealVector(7);
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OpenMapRealVector v1 = new OpenMapRealVector(7);
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assertEquals("testData len", 7, v1.getDimension());
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assertEquals("testData is 0.0 ", 0.0, v1.getEntry(6));
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SparseRealVector v3 = new SparseRealVector(vec1);
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OpenMapRealVector v3 = new OpenMapRealVector(vec1);
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assertEquals("testData len", 3, v3.getDimension());
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assertEquals("testData is 2.0 ", 2.0, v3.getEntry(1));
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// fail("wrong exception caught");
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//}
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RealVector v5_i = new SparseRealVector(dvec1);
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RealVector v5_i = new OpenMapRealVector(dvec1);
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assertEquals("testData len", 9, v5_i.getDimension());
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assertEquals("testData is 9.0 ", 9.0, v5_i.getEntry(8));
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SparseRealVector v5 = new SparseRealVector(dvec1);
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OpenMapRealVector v5 = new OpenMapRealVector(dvec1);
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assertEquals("testData len", 9, v5.getDimension());
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assertEquals("testData is 9.0 ", 9.0, v5.getEntry(8));
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SparseRealVector v7 = new SparseRealVector(v1);
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OpenMapRealVector v7 = new OpenMapRealVector(v1);
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assertEquals("testData len", 7, v7.getDimension());
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assertEquals("testData is 0.0 ", 0.0, v7.getEntry(6));
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SparseRealVectorTestImpl v7_i = new SparseRealVectorTestImpl(vec1);
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SparseRealVector v7_2 = new SparseRealVector(v7_i);
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OpenMapRealVector v7_2 = new OpenMapRealVector(v7_i);
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assertEquals("testData len", 3, v7_2.getDimension());
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assertEquals("testData is 0.0 ", 2.0d, v7_2.getEntry(1));
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SparseRealVector v8 = new SparseRealVector(v1);
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OpenMapRealVector v8 = new OpenMapRealVector(v1);
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assertEquals("testData len", 7, v8.getDimension());
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assertEquals("testData is 0.0 ", 0.0, v8.getEntry(6));
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@ -515,9 +515,9 @@ public class SparseRealVectorTest extends TestCase {
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public void testDataInOut() {
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SparseRealVector v1 = new SparseRealVector(vec1);
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SparseRealVector v2 = new SparseRealVector(vec2);
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SparseRealVector v4 = new SparseRealVector(vec4);
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OpenMapRealVector v1 = new OpenMapRealVector(vec1);
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OpenMapRealVector v2 = new OpenMapRealVector(vec2);
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OpenMapRealVector v4 = new OpenMapRealVector(vec4);
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SparseRealVectorTestImpl v2_t = new SparseRealVectorTestImpl(vec2);
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RealVector v_append_1 = v1.append(v2);
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fail("wrong exception caught");
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}
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SparseRealVector v_set1 = (SparseRealVector) v1.copy();
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OpenMapRealVector v_set1 = (OpenMapRealVector) v1.copy();
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v_set1.setEntry(1, 11.0);
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assertEquals("testData is 11.0 ", 11.0, v_set1.getEntry(1));
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try {
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fail("wrong exception caught");
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}
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SparseRealVector v_set2 = (SparseRealVector) v4.copy();
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OpenMapRealVector v_set2 = (OpenMapRealVector) v4.copy();
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v_set2.setSubVector(3, v1);
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assertEquals("testData is 1.0 ", 1.0, v_set2.getEntry(3));
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assertEquals("testData is 7.0 ", 7.0, v_set2.getEntry(6));
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fail("wrong exception caught");
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}
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SparseRealVector v_set3 = (SparseRealVector) v1.copy();
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OpenMapRealVector v_set3 = (OpenMapRealVector) v1.copy();
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v_set3.set(13.0);
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assertEquals("testData is 13.0 ", 13.0, v_set3.getEntry(2));
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fail("wrong exception caught");
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}
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SparseRealVector v_set4 = (SparseRealVector) v4.copy();
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OpenMapRealVector v_set4 = (OpenMapRealVector) v4.copy();
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v_set4.setSubVector(3, v2_t);
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assertEquals("testData is 1.0 ", 4.0, v_set4.getEntry(3));
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assertEquals("testData is 7.0 ", 7.0, v_set4.getEntry(6));
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}
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public void testMapFunctions() {
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SparseRealVector v1 = new SparseRealVector(vec1);
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OpenMapRealVector v1 = new OpenMapRealVector(vec1);
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//octave = v1 .+ 2.0
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RealVector v_mapAdd = v1.mapAdd(2.0d);
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assertClose("compare vectors" ,result_mapTanToSelf,v_mapTanToSelf.getData(),normTolerance);
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double[] vat_a = {0d, 0.5d, 1.0d};
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SparseRealVector vat = new SparseRealVector(vat_a);
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OpenMapRealVector vat = new OpenMapRealVector(vat_a);
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//octave = acos(vat)
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RealVector v_mapAcos = vat.mapAcos();
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assertClose("compare vectors" ,result_mapInvToSelf,v_mapInvToSelf.getData(),normTolerance);
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double[] abs_a = {-1.0d, 0.0d, 1.0d};
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SparseRealVector abs_v = new SparseRealVector(abs_a);
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OpenMapRealVector abs_v = new OpenMapRealVector(abs_a);
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//octave = abs(abs_v)
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RealVector v_mapAbs = abs_v.mapAbs();
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@ -855,7 +855,7 @@ public class SparseRealVectorTest extends TestCase {
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assertClose("compare vectors" ,result_mapSqrtToSelf,v_mapSqrtToSelf.getData(),normTolerance);
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double[] cbrt_a = {-2.0d, 0.0d, 2.0d};
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SparseRealVector cbrt_v = new SparseRealVector(cbrt_a);
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OpenMapRealVector cbrt_v = new OpenMapRealVector(cbrt_a);
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//octave = ???
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RealVector v_mapCbrt = cbrt_v.mapCbrt();
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assertClose("compare vectors" ,result_mapCbrtToSelf,v_mapCbrtToSelf.getData(),normTolerance);
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double[] ceil_a = {-1.1d, 0.9d, 1.1d};
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SparseRealVector ceil_v = new SparseRealVector(ceil_a);
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OpenMapRealVector ceil_v = new OpenMapRealVector(ceil_a);
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//octave = ceil(ceil_v)
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RealVector v_mapCeil = ceil_v.mapCeil();
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}
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public void testBasicFunctions() {
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SparseRealVector v1 = new SparseRealVector(vec1);
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SparseRealVector v2 = new SparseRealVector(vec2);
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SparseRealVector v_null = new SparseRealVector(vec_null);
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OpenMapRealVector v1 = new OpenMapRealVector(vec1);
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OpenMapRealVector v2 = new OpenMapRealVector(vec2);
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OpenMapRealVector v_null = new OpenMapRealVector(vec_null);
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SparseRealVectorTestImpl v2_t = new SparseRealVectorTestImpl(vec2);
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@ -970,7 +970,7 @@ public class SparseRealVectorTest extends TestCase {
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assertEquals("compare values ",3d, d_getLInfDistance_2 );
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//octave = v1 + v2
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SparseRealVector v_add = v1.add(v2);
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OpenMapRealVector v_add = v1.add(v2);
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double[] result_add = {5d, 7d, 9d};
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assertClose("compare vect" ,v_add.getData(),result_add,normTolerance);
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@ -980,7 +980,7 @@ public class SparseRealVectorTest extends TestCase {
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assertClose("compare vect" ,v_add_i.getData(),result_add_i,normTolerance);
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//octave = v1 - v2
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SparseRealVector v_subtract = v1.subtract(v2);
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OpenMapRealVector v_subtract = v1.subtract(v2);
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double[] result_subtract = {-3d, -3d, -3d};
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assertClose("compare vect" ,v_subtract.getData(),result_subtract,normTolerance);
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@ -1033,7 +1033,7 @@ public class SparseRealVectorTest extends TestCase {
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fail("wrong exception caught");
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}
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SparseRealVector v_unitize = (SparseRealVector)v1.copy();
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OpenMapRealVector v_unitize = (OpenMapRealVector)v1.copy();
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v_unitize.unitize();
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assertClose("compare vect" ,v_unitVector_2.getData(),v_unitize.getData(),normTolerance);
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try {
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@ -1056,7 +1056,7 @@ public class SparseRealVectorTest extends TestCase {
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}
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public void testMisc() {
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||||
SparseRealVector v1 = new SparseRealVector(vec1);
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||||
OpenMapRealVector v1 = new OpenMapRealVector(vec1);
|
||||
|
||||
String out1 = v1.toString();
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assertTrue("some output ", out1.length()!=0);
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||||
|
@ -1074,7 +1074,7 @@ public class SparseRealVectorTest extends TestCase {
|
|||
|
||||
public void testPredicates() {
|
||||
|
||||
SparseRealVector v = new SparseRealVector(new double[] { 0, 1, 2 });
|
||||
OpenMapRealVector v = new OpenMapRealVector(new double[] { 0, 1, 2 });
|
||||
|
||||
assertFalse(v.isNaN());
|
||||
v.setEntry(1, Double.NaN);
|
||||
|
@ -1087,9 +1087,9 @@ public class SparseRealVectorTest extends TestCase {
|
|||
assertTrue(v.isInfinite());
|
||||
|
||||
v.setEntry(0, 0);
|
||||
assertEquals(v, new SparseRealVector(new double[] { 0, 1, 2 }));
|
||||
assertNotSame(v, new SparseRealVector(new double[] { 0, 1, 2 + Math.ulp(2)}));
|
||||
assertNotSame(v, new SparseRealVector(new double[] { 0, 1, 2, 3 }));
|
||||
assertEquals(v, new OpenMapRealVector(new double[] { 0, 1, 2 }));
|
||||
assertNotSame(v, new OpenMapRealVector(new double[] { 0, 1, 2 + Math.ulp(2)}));
|
||||
assertNotSame(v, new OpenMapRealVector(new double[] { 0, 1, 2, 3 }));
|
||||
|
||||
}
|
||||
|
||||
|
|
Loading…
Reference in New Issue