| /* |
| * 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.junit.Assert; |
| import org.junit.Test; |
| import org.apache.sysds.runtime.instructions.InstructionUtils; |
| import org.apache.sysds.runtime.matrix.data.MatrixBlock; |
| import org.apache.sysds.runtime.matrix.data.MatrixIndexes; |
| import org.apache.sysds.runtime.util.DataConverter; |
| import org.apache.sysds.test.AutomatedTestBase; |
| import org.apache.sysds.test.TestConfiguration; |
| |
| import java.util.Arrays; |
| |
| public class AggregateNaNTest extends AutomatedTestBase |
| { |
| private final static String TEST_NAME = "NaNTest"; |
| private final static String TEST_DIR = "functions/aggregate/"; |
| private static final String TEST_CLASS_DIR = TEST_DIR + AggregateNaNTest.class.getSimpleName() + "/"; |
| private final static int rows = 120; |
| private final static int cols = 117; |
| private final static double sparsity1 = 0.1; |
| private final static double sparsity2 = 0.7; |
| |
| @Override |
| public void setUp() { |
| addTestConfiguration(TEST_NAME, |
| new TestConfiguration(TEST_CLASS_DIR, TEST_NAME, new String[]{"B"})); |
| } |
| |
| |
| @Test |
| public void testSumDenseNaN() { |
| runNaNAggregateTest(0, false); |
| } |
| |
| @Test |
| public void testSumSparseNaN() { |
| runNaNAggregateTest(0, true); |
| } |
| |
| @Test |
| public void testSumSqDenseNaN() { |
| runNaNAggregateTest(1, false); |
| } |
| |
| @Test |
| public void testSumSqSparseNaN() { |
| runNaNAggregateTest(1, true); |
| } |
| |
| @Test |
| public void testMinDenseNaN() { |
| runNaNAggregateTest(2, false); |
| } |
| |
| @Test |
| public void testMinSparseNaN() { |
| runNaNAggregateTest(2, true); |
| } |
| |
| @Test |
| public void testMaxDenseNaN() { |
| runNaNAggregateTest(3, false); |
| } |
| |
| @Test |
| public void testMaxSparseNaN() { |
| runNaNAggregateTest(3, true); |
| } |
| |
| @Test |
| public void testRowIndexMaxDenseNaN() { |
| runNaNRowIndexMxxTest("uarimax", false); |
| } |
| |
| @Test |
| public void testRowIndexMaxSparseNaN() { |
| runNaNRowIndexMxxTest("uarimax", true); |
| } |
| |
| @Test |
| public void testRowIndexMinDenseNaN() { |
| runNaNRowIndexMxxTest("uarimin", false); |
| } |
| |
| @Test |
| public void testRowIndexMinSparseNaN() { |
| runNaNRowIndexMxxTest("uarimin", true); |
| } |
| |
| private void runNaNAggregateTest(int type, boolean sparse) { |
| //generate input |
| double sparsity = sparse ? sparsity1 : sparsity2; |
| double[][] A = getRandomMatrix(rows, cols, -0.05, 1, sparsity, 7); |
| A[7][7] = Double.NaN; |
| MatrixBlock mb = DataConverter.convertToMatrixBlock(A); |
| |
| double ret = -1; |
| switch(type) { |
| case 0: ret = mb.sum(); |
| case 1: ret = mb.sumSq(); |
| case 2: ret = mb.min(); |
| case 3: ret = mb.max(); |
| } |
| |
| Assert.assertTrue(Double.isNaN(ret)); |
| } |
| |
| private void runNaNRowIndexMxxTest(String type, boolean sparse) { |
| //generate input |
| double sparsity = sparse ? sparsity1 : sparsity2; |
| double[][] A = getRandomMatrix(rows, cols, -0.05, 1, sparsity, 7); |
| Arrays.fill(A[7], Double.NaN); |
| MatrixBlock mb = DataConverter.convertToMatrixBlock(A); |
| |
| double ret = mb.aggregateUnaryOperations( |
| InstructionUtils.parseBasicAggregateUnaryOperator(type), |
| new MatrixBlock(), -1, new MatrixIndexes(1, 1), true).getValue(7, 0); |
| |
| Assert.assertTrue(ret == 1); |
| } |
| } |