Added tests for row, column, subMatrix accessors, equals and hashcode, toString.
git-svn-id: https://svn.apache.org/repos/asf/jakarta/commons/proper/math/trunk@141482 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Phil Steitz
parent
3cc04c99f0
commit
730dad4cdb
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@ -24,38 +24,73 @@ import java.math.BigDecimal;
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/**
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* Test cases for the {@link BigMatrixImpl} class.
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*
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* @version $Revision: 1.3 $ $Date: 2004/09/05 01:19:23 $
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* @version $Revision: 1.4 $ $Date: 2004/10/25 02:23:29 $
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*/
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public final class BigMatrixImplTest extends TestCase {
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private double[][] testData = { {1d,2d,3d}, {2d,5d,3d}, {1d,0d,8d} };
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private String[][] testDataString = { {"1","2","3"}, {"2","5","3"}, {"1","0","8"} };
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private double[][] testDataLU = {{2d, 5d, 3d}, {.5d, -2.5d, 6.5d}, {0.5d, 0.2d, .2d}};
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private double[][] testDataPlus2 = { {3d,4d,5d}, {4d,7d,5d}, {3d,2d,10d} };
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private double[][] testDataMinus = { {-1d,-2d,-3d}, {-2d,-5d,-3d},
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// Test data for String constructors
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protected String[][] testDataString = { {"1","2","3"}, {"2","5","3"}, {"1","0","8"} };
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// 3 x 3 identity matrix
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protected double[][] id = { {1d,0d,0d}, {0d,1d,0d}, {0d,0d,1d} };
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// Test data for group operations
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protected double[][] testData = { {1d,2d,3d}, {2d,5d,3d}, {1d,0d,8d} };
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protected double[][] testDataLU = {{2d, 5d, 3d}, {.5d, -2.5d, 6.5d}, {0.5d, 0.2d, .2d}};
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protected double[][] testDataPlus2 = { {3d,4d,5d}, {4d,7d,5d}, {3d,2d,10d} };
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protected double[][] testDataMinus = { {-1d,-2d,-3d}, {-2d,-5d,-3d},
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{-1d,0d,-8d} };
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private double[] testDataRow1 = {1d,2d,3d};
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private double[] testDataCol3 = {3d,3d,8d};
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private double[][] testDataInv =
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protected double[] testDataRow1 = {1d,2d,3d};
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protected double[] testDataCol3 = {3d,3d,8d};
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protected double[][] testDataInv =
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{ {-40d,16d,9d}, {13d,-5d,-3d}, {5d,-2d,-1d} };
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private double[] preMultTest = {8,12,33};
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private double[][] testData2 ={ {1d,2d,3d}, {2d,5d,3d}};
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private double[][] testData2T = { {1d,2d}, {2d,5d}, {3d,3d}};
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private double[][] testDataPlusInv =
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protected double[] preMultTest = {8,12,33};
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protected double[][] testData2 ={ {1d,2d,3d}, {2d,5d,3d}};
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protected double[][] testData2T = { {1d,2d}, {2d,5d}, {3d,3d}};
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protected double[][] testDataPlusInv =
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{ {-39d,18d,12d}, {15d,0d,0d}, {6d,-2d,7d} };
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private double[][] id = { {1d,0d,0d}, {0d,1d,0d}, {0d,0d,1d} };
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private double[][] luData = { {2d,3d,3d}, {0d,5d,7d}, {6d,9d,8d} };
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private double[][] luDataLUDecomposition = { {6d,9d,8d}, {0d,5d,7d}, {0.33333333333333,0d,0.33333333333333} };
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private double[][] singular = { {2d,3d}, {2d,3d} };
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private double[][] bigSingular = {{1d,2d,3d,4d}, {2d,5d,3d,4d},
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// lu decomposition tests
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protected double[][] luData = { {2d,3d,3d}, {0d,5d,7d}, {6d,9d,8d} };
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protected double[][] luDataLUDecomposition = { {6d,9d,8d}, {0d,5d,7d},
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{0.33333333333333,0d,0.33333333333333} };
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// singular matrices
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protected double[][] singular = { {2d,3d}, {2d,3d} };
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protected double[][] bigSingular = {{1d,2d,3d,4d}, {2d,5d,3d,4d},
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{7d,3d,256d,1930d}, {3d,7d,6d,8d}}; // 4th row = 1st + 2nd
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private double[][] detData = { {1d,2d,3d}, {4d,5d,6d}, {7d,8d,10d} };
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private double[][] detData2 = { {1d, 3d}, {2d, 4d}};
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private double[] testVector = {1,2,3};
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private double[] testVector2 = {1,2,3,4};
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private double entryTolerance = 10E-16;
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private double normTolerance = 10E-14;
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protected double[][] detData = { {1d,2d,3d}, {4d,5d,6d}, {7d,8d,10d} };
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protected double[][] detData2 = { {1d, 3d}, {2d, 4d}};
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// vectors
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protected double[] testVector = {1,2,3};
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protected double[] testVector2 = {1,2,3,4};
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// submatrix accessor tests
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protected double[][] subTestData = {{1, 2, 3, 4}, {1.5, 2.5, 3.5, 4.5},
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{2, 4, 6, 8}, {4, 5, 6, 7}};
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// array selections
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protected double[][] subRows02Cols13 = { {2, 4}, {4, 8}};
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protected double[][] subRows03Cols12 = { {2, 3}, {5, 6}};
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protected double[][] subRows03Cols123 = { {2, 3, 4} , {5, 6, 7}};
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// effective permutations
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protected double[][] subRows20Cols123 = { {4, 6, 8} , {2, 3, 4}};
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protected double[][] subRows31Cols31 = {{7, 5}, {4.5, 2.5}};
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// contiguous ranges
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protected double[][] subRows01Cols23 = {{3,4} , {3.5, 4.5}};
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protected double[][] subRows23Cols00 = {{2} , {4}};
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protected double[][] subRows00Cols33 = {{4}};
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// row matrices
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protected double[][] subRow0 = {{1,2,3,4}};
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protected double[][] subRow3 = {{4,5,6,7}};
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// column matrices
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protected double[][] subColumn1 = {{2}, {2.5}, {4}, {5}};
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protected double[][] subColumn3 = {{4}, {4.5}, {8}, {7}};
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// tolerances
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protected double entryTolerance = 10E-16;
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protected double normTolerance = 10E-14;
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public BigMatrixImplTest(String name) {
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super(name);
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@ -501,6 +536,147 @@ public final class BigMatrixImplTest extends TestCase {
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}
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}
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/**
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* test submatrix accessors
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*/
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public void testSubMatrix() {
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BigMatrix m = new BigMatrixImpl(subTestData);
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BigMatrix mRows23Cols00 = new BigMatrixImpl(subRows23Cols00);
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BigMatrix mRows00Cols33 = new BigMatrixImpl(subRows00Cols33);
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BigMatrix mRows01Cols23 = new BigMatrixImpl(subRows01Cols23);
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BigMatrix mRows02Cols13 = new BigMatrixImpl(subRows02Cols13);
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BigMatrix mRows03Cols12 = new BigMatrixImpl(subRows03Cols12);
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BigMatrix mRows03Cols123 = new BigMatrixImpl(subRows03Cols123);
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BigMatrix mRows20Cols123 = new BigMatrixImpl(subRows20Cols123);
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BigMatrix mRows31Cols31 = new BigMatrixImpl(subRows31Cols31);
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assertEquals("Rows23Cols00", mRows23Cols00,
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m.getSubMatrix(2 , 3 , 0, 0));
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assertEquals("Rows00Cols33", mRows00Cols33,
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m.getSubMatrix(0 , 0 , 3, 3));
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assertEquals("Rows01Cols23", mRows01Cols23,
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m.getSubMatrix(0 , 1 , 2, 3));
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assertEquals("Rows02Cols13", mRows02Cols13,
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m.getSubMatrix(new int[] {0,2}, new int[] {1,3}));
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assertEquals("Rows03Cols12", mRows03Cols12,
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m.getSubMatrix(new int[] {0,3}, new int[] {1,2}));
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assertEquals("Rows03Cols123", mRows03Cols123,
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m.getSubMatrix(new int[] {0,3}, new int[] {1,2,3}));
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assertEquals("Rows20Cols123", mRows20Cols123,
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m.getSubMatrix(new int[] {2,0}, new int[] {1,2,3}));
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assertEquals("Rows31Cols31", mRows31Cols31,
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m.getSubMatrix(new int[] {3,1}, new int[] {3,1}));
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assertEquals("Rows31Cols31", mRows31Cols31,
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m.getSubMatrix(new int[] {3,1}, new int[] {3,1}));
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try {
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m.getSubMatrix(1,0,2,4);
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fail("Expecting MatrixIndexException");
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} catch (MatrixIndexException ex) {
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// expected
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}
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try {
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m.getSubMatrix(-1,1,2,2);
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fail("Expecting MatrixIndexException");
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} catch (MatrixIndexException ex) {
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// expected
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}
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try {
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m.getSubMatrix(1,0,2,2);
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fail("Expecting MatrixIndexException");
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} catch (MatrixIndexException ex) {
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// expected
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}
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try {
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m.getSubMatrix(1,0,2,4);
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fail("Expecting MatrixIndexException");
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} catch (MatrixIndexException ex) {
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// expected
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}
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try {
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m.getSubMatrix(new int[] {}, new int[] {0});
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fail("Expecting MatrixIndexException");
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} catch (MatrixIndexException ex) {
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// expected
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}
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try {
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m.getSubMatrix(new int[] {0}, new int[] {4});
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fail("Expecting MatrixIndexException");
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} catch (MatrixIndexException ex) {
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// expected
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}
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}
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public void testGetColumnMatrix() {
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BigMatrix m = new BigMatrixImpl(subTestData);
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BigMatrix mColumn1 = new BigMatrixImpl(subColumn1);
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BigMatrix mColumn3 = new BigMatrixImpl(subColumn3);
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assertEquals("Column1", mColumn1,
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m.getColumnMatrix(1));
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assertEquals("Column3", mColumn3,
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m.getColumnMatrix(3));
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try {
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m.getColumnMatrix(-1);
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fail("Expecting MatrixIndexException");
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} catch (MatrixIndexException ex) {
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// expected
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}
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try {
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m.getColumnMatrix(4);
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fail("Expecting MatrixIndexException");
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} catch (MatrixIndexException ex) {
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// expected
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}
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}
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public void testGetRowMatrix() {
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BigMatrix m = new BigMatrixImpl(subTestData);
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BigMatrix mRow0 = new BigMatrixImpl(subRow0);
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BigMatrix mRow3 = new BigMatrixImpl(subRow3);
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assertEquals("Row0", mRow0,
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m.getRowMatrix(0));
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assertEquals("Row3", mRow3,
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m.getRowMatrix(3));
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try {
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m.getRowMatrix(-1);
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fail("Expecting MatrixIndexException");
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} catch (MatrixIndexException ex) {
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// expected
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}
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try {
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m.getRowMatrix(4);
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fail("Expecting MatrixIndexException");
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} catch (MatrixIndexException ex) {
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// expected
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}
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}
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public void testEqualsAndHashCode() {
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BigMatrixImpl m = new BigMatrixImpl(testData);
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BigMatrixImpl m1 = (BigMatrixImpl) m.copy();
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BigMatrixImpl mt = (BigMatrixImpl) 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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assertEquals(m, m1);
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assertFalse(m.equals(null));
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assertFalse(m.equals(mt));
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assertFalse(m.equals(new BigMatrixImpl(bigSingular)));
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// Different scales make BigDecimals, so matrices unequal
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m = new BigMatrixImpl(new String[][] {{"2.0"}});
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m1 = new BigMatrixImpl(new String[][] {{"2.00"}});
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assertTrue(m.hashCode() != m1.hashCode());
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assertFalse(m.equals(m1));
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}
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public void testToString() {
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BigMatrixImpl m = new BigMatrixImpl(testData);
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assertEquals("BigMatrixImpl{{1,2,3},{2,5,3},{1,0,8}}",
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m.toString());
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m = new BigMatrixImpl();
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assertEquals("BigMatrixImpl{}",
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m.toString());
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}
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//--------------- -----------------Protected methods
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/** verifies that two matrices are close (1-norm) */
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