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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.sysds.test.functions.aggregate;
import org.apache.sysds.parser.LanguageException;
import org.apache.sysds.test.AutomatedTestBase;
import org.apache.sysds.test.TestConfiguration;
import org.junit.Test;
/**
* <p><b>Positive tests:</b></p>
* <ul>
* <li>general test</li>
* </ul>
* <p><b>Negative tests:</b></p>
* <ul>
* <li>scalar test</li>
* </ul>
*
*
*/
public class RowSumTest extends AutomatedTestBase
{
private final static String TEST_DIR = "functions/aggregate/";
private static final String TEST_CLASS_DIR = TEST_DIR + RowSumTest.class.getSimpleName() + "/";
private final static String TEST_GENERAL = "General";
private final static String TEST_SCALAR = "Scalar";
@Override
public void setUp() {
// positive tests
addTestConfiguration(TEST_GENERAL, new TestConfiguration(TEST_CLASS_DIR, "RowSumTest", new String[] {
"vector_rowsum", "matrix_rowsum" }));
// negative tests
addTestConfiguration(TEST_SCALAR, new TestConfiguration(TEST_CLASS_DIR, "RowSumScalarTest", new String[] {
"vector_rowsum", "matrix_rowsum" }));
}
@Test
public void testGeneral() {
int rows = 10;
int cols = 10;
TestConfiguration config = getTestConfiguration(TEST_GENERAL);
config.addVariable("rows", rows);
config.addVariable("cols", cols);
loadTestConfiguration(config);
double[][] vector = getRandomMatrix(rows, 1, 0, 1, 1, -1);
writeInputMatrix("vector", vector);
writeExpectedMatrix("vector_rowsum", vector);
double[][] matrix = getRandomMatrix(rows, cols, 0, 1, 1, -1);
double[][] matrixRowSum = new double[rows][1];
for (int i = 0; i < rows; i++) {
for (int j = 0; j < cols; j++) {
matrixRowSum[i][0] += matrix[i][j];
}
}
writeInputMatrix("matrix", matrix);
writeExpectedMatrix("matrix_rowsum", matrixRowSum);
runTest();
compareResults(1e-14);
}
@Test
public void testScalar() {
int scalar = 12;
TestConfiguration config = getTestConfiguration(TEST_SCALAR);
config.addVariable("scalar", scalar);
createHelperMatrix();
loadTestConfiguration(config);
runTest(true, LanguageException.class);
}
}