/**
* 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.mahout.math;
import org.apache.mahout.math.function.Functions;
import org.apache.mahout.math.function.IntIntFunction;
import org.junit.Test;
public class MatricesTest extends MahoutTestCase {
@Test
public void testFunctionalView() {
Matrix m = Matrices.functionalMatrixView(5, 6, new IntIntFunction() {
@Override
public double apply(int row, int col) {
assertTrue(row < 5);
assertTrue(col < 6);
return row + col;
}
});
// row-wise sums are 15, 15+ 6, 15 +12, 15+18, 15+24
// so total sum is 1/2*(15+15+24)*5 =27*5 = 135
assertEquals(135, m.aggregate(Functions.PLUS, Functions.IDENTITY), 1e-10);
}
@Test
public void testTransposeView() {
Matrix m = Matrices.gaussianView(5, 6, 1234L);
Matrix controlM = new DenseMatrix(5, 6).assign(m);
System.out.printf("M=\n%s\n", m);
System.out.printf("controlM=\n%s\n", controlM);
Matrix mtm = Matrices.transposedView(m).times(m);
Matrix controlMtm = controlM.transpose().times(controlM);
System.out.printf("M'M=\n%s\n", mtm);
Matrix diff = mtm.minus(controlMtm);
assertEquals(0, diff.aggregate(Functions.PLUS, Functions.ABS), 1e-10);
}
@Test
public void testUniformView() {
Matrix m1 = Matrices.uniformView(5, 6, 1234);
Matrix m2 = Matrices.uniformView(5, 6, 1234);
for (int row = 0; row < m1.numRows(); row++) {
for (int col = 0; col < m1.numCols(); col++) {
assertTrue(m1.getQuick(row, col) >= 0.0);
assertTrue(m1.getQuick(row, col) < 1.0);
}
}
Matrix diff = m1.minus(m2);
assertEquals(0, diff.aggregate(Functions.PLUS, Functions.ABS), 1e-10);
}
@Test
public void testSymmetricUniformView() {
Matrix m1 = Matrices.symmetricUniformView(5, 6, 1234);
Matrix m2 = Matrices.symmetricUniformView(5, 6, 1234);
for (int row = 0; row < m1.numRows(); row++) {
for (int col = 0; col < m1.numCols(); col++) {
assertTrue(m1.getQuick(row, col) >= -1.0);
assertTrue(m1.getQuick(row, col) < 1.0);
}
}
Matrix diff = m1.minus(m2);
assertEquals(0, diff.aggregate(Functions.PLUS, Functions.ABS), 1e-10);
}
@Test
public void testGaussianView() {
Matrix m1 = Matrices.gaussianView(5, 6, 1234);
Matrix m2 = Matrices.gaussianView(5, 6, 1234);
Matrix diff = m1.minus(m2);
assertEquals(0, diff.aggregate(Functions.PLUS, Functions.ABS), 1e-10);
}
}