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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.parfor.partition;
import java.util.HashMap;
import org.junit.Test;
import org.apache.sysds.lops.LopProperties.ExecType;
import org.apache.sysds.runtime.matrix.data.MatrixValue.CellIndex;
import org.apache.sysds.test.AutomatedTestBase;
import org.apache.sysds.test.TestConfiguration;
import org.apache.sysds.test.TestUtils;
public class ParForDataPartitionLeftIndexingTest extends AutomatedTestBase
{
private final static String TEST_NAME1 = "parfor_cdatapartition_leftindexing";
private final static String TEST_NAME2 = "parfor_rdatapartition_leftindexing";
private final static String TEST_DIR = "functions/parfor/";
private final static String TEST_CLASS_DIR = TEST_DIR + ParForDataPartitionLeftIndexingTest.class.getSimpleName() + "/";
private final static double eps = 1e-10;
private final static long dim1 = 10000;
private final static long dim2 = 16;
private final static double sparsity1 = 0.7;
private final static double sparsity2 = 0.1d;
@Override
public void setUp()
{
addTestConfiguration(TEST_NAME1, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME1, new String[] { "R" }) );
addTestConfiguration(TEST_NAME2, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME2, new String[] { "R" }) );
}
//colwise partitioning
@Test
public void testParForDataPartitionLeftindexingColDenseCP()
{
runParForDataPartitionLeftindexingTest(true, false, ExecType.CP);
}
@Test
public void testParForDataPartitionLeftindexingColSparseCP()
{
runParForDataPartitionLeftindexingTest(true, true, ExecType.CP);
}
@Test
public void testParForDataPartitionLeftindexingRowDenseCP()
{
runParForDataPartitionLeftindexingTest(false, false, ExecType.CP);
}
@Test
public void testParForDataPartitionLeftindexingRowSparseCP()
{
runParForDataPartitionLeftindexingTest(false, true, ExecType.CP);
}
private void runParForDataPartitionLeftindexingTest( boolean colwise, boolean sparse, ExecType et )
{
//inst exec type, influenced via rows
long rows = -1, cols = -1;
if( colwise ){
rows = dim1;
cols = dim2;
}
else{
rows = dim2;
cols = dim1;
}
//script
String TEST_NAME = colwise ? TEST_NAME1 : TEST_NAME2;
double sparsity = sparse ? sparsity2 : sparsity1;
TestConfiguration config = getTestConfiguration(TEST_NAME);
config.addVariable("rows", rows);
config.addVariable("cols", cols);
loadTestConfiguration(config);
/* This is for running the junit test the new way, i.e., construct the arguments directly */
String HOME = SCRIPT_DIR + TEST_DIR;
fullDMLScriptName = HOME + TEST_NAME + ".dml";
programArgs = new String[]{"-args", input("V"), output("R") };
fullRScriptName = HOME + TEST_NAME + ".R";
rCmd = "Rscript" + " " + fullRScriptName + " " + inputDir() + " " + expectedDir();
//generate input data
double[][] V = getRandomMatrix((int)rows, (int)cols, 0, 1, sparsity, 7);
writeInputMatrixWithMTD("V", V, false);
//run tests
runTest(true, false, null, -1);
//compare matrices
HashMap<CellIndex, Double> input = TestUtils.convert2DDoubleArrayToHashMap(V);
HashMap<CellIndex, Double> dmlfile = readDMLMatrixFromHDFS("R");
TestUtils.compareMatrices(dmlfile, input, eps, "DML", "Input");
}
}