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/*
* 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.sis.referencing.operation.matrix;
import org.apache.sis.test.DependsOn;
import org.junit.Test;
import static java.lang.Double.NaN;
import static org.opengis.test.Assert.*;
import static org.apache.sis.referencing.operation.matrix.Matrix4.SIZE;
/**
* Tests the {@link Matrix4} implementation.
* This class inherits all tests defined in {@link MatrixTestCase}.
*
* @author Martin Desruisseaux (Geomatys)
* @version 1.0
* @since 0.4
* @module
*/
@DependsOn(SolverTest.class)
public final strictfp class Matrix4Test extends MatrixTestCase {
/**
* Returns the size of the matrix of interest for this test class.
*/
@Override int getNumRow() {return SIZE;}
@Override int getNumCol() {return SIZE;}
/**
* Ensures that the given matrix is an instance of the expected type.
*/
@Override
void validate(final MatrixSIS matrix) {
super.validate(matrix);
assertEquals(Matrix4.class, matrix.getClass());
}
/**
* Tests the {@link Matrix4#Matrix4(double, double, double, double, double, double, double,
* double, double, double, double, double, double, double, double, double)} constructor.
* This constructor is specific to the implementation class.
*/
@Test
public void testConstructor() {
initialize(-7053945420932915425L);
final double[] elements = createRandomPositiveValues(SIZE * SIZE);
final Matrix4 matrix = new Matrix4(
elements[ 0],
elements[ 1],
elements[ 2],
elements[ 3],
elements[ 4],
elements[ 5],
elements[ 6],
elements[ 7],
elements[ 8],
elements[ 9],
elements[10],
elements[11],
elements[12],
elements[13],
elements[14],
elements[15]);
validate(matrix);
assertArrayEquals(elements, matrix.getElements(), STRICT);
}
/**
* Tests multiplication of a matrix that contains NaN numbers.
* We want to avoid having NaNs of a full row or full column.
*
* Note that a NaN may appear in the translation column, depending on the matrix order in multiplication.
* So handling of NaN during multiplication does not eliminate completely the need to write some NaN-safe
* code in the Apache SIS modules.
*/
@Test
public void testMultiplyWithNaN() {
final Matrix4 m1 = new Matrix4(
0.5, 0, 0, -179.5,
0, 0.25, 0, -89.5,
0, 0, NaN, 20989.0,
0, 0, 0, 1);
final Matrix4 m2 = new Matrix4(
4, 0, 0, 0,
0, 6, 0, 0,
0, 0, 1, 18262.5,
0, 0, 0, 1);
assertMatrixEquals("Multiplication with NaN", new Matrix4(
2.0, 0, 0, -718.0,
0, 1.5, 0, -537.0,
0, 0, NaN, 39251.5,
0, 0, 0, 1), m2.multiply(m1), STRICT);
assertMatrixEquals("Multiplication with NaN", new Matrix4(
2.0, 0, 0, -179.5,
0, 1.5, 0, -89.5,
0, 0, NaN, NaN,
0, 0, 0, 1), m1.multiply(m2), STRICT);
}
/**
* Tests the accuracy of a chain of matrix operations.
*
* @throws NoninvertibleMatrixException should never happen.
*/
@Test
public void testAccuracy() throws NoninvertibleMatrixException {
final double parisMeridian = 2 + (20 + 13.82/60)/60; // Paris meridian: 2°20'13.82"
final double toRadians = StrictMath.PI / 180;
/*
* Grads to degrees with a Prime Meridian shift
* and a random conversion factor for z values.
*/
final Matrix4 step1 = new Matrix4(
0.9, 0, 0, parisMeridian,
0, 0.9, 0, 0,
0, 0, 0.8, 0, // Random conversion factor for z values.
0, 0, 0, 1);
/*
* Degrees to radians with swapping of (longitude, latitude) axes
* and a conversion factor of z values from feet to metres.
*/
final Matrix4 step2 = new Matrix4(
0, toRadians, 0, 0,
toRadians, 0, 0, 0,
0, 0, 0.3048, 0,
0, 0, 0, 1);
/*
* Converse of the above operations.
*/
final MatrixSIS step3 = step2.multiply(step1).inverse();
/*
* Concatenate everything, which should go back to the identity transform.
* Note that the 'isIdentity()' test fail if the double-double arithmetic is
* disabled, because some scale factors will be 0.9999999999999999 instead of 1.
*/
final MatrixSIS result = step3.multiply(step2).multiply(step1);
assertTrue("isIdentity()", result.isIdentity());
}
}