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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.misc;
import java.util.HashMap;
import java.util.Map.Entry;
import org.junit.Test;
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 ParForNaNResultMergeTest extends AutomatedTestBase
{
private final static String TEST_DIR = "functions/parfor/";
private final static String TEST_NAME1 = "parfor_NaN1";
private final static String TEST_NAME2 = "parfor_NaN2";
private final static String TEST_CLASS_DIR = TEST_DIR + ParForNaNResultMergeTest.class.getSimpleName() + "/";
private final static double eps = 0;
private final static int rows = 384;
private final static int cols = rows;
@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" }) );
}
@Test
public void testParForNaNOverwriteDense()
{
runParForNaNResultMergeTest(TEST_NAME1, false);
}
@Test
public void testParForNaNOverwriteSparse()
{
runParForNaNResultMergeTest(TEST_NAME1, true);
}
@Test
public void testParForNaNInsertDense()
{
runParForNaNResultMergeTest(TEST_NAME2, false);
}
@Test
public void testParForNaNInsertSparse()
{
runParForNaNResultMergeTest(TEST_NAME2, true);
}
/**
*
* @param outer execution mode of outer parfor loop
* @param inner execution mode of inner parfor loop
* @param instType execution mode of instructions
*/
private void runParForNaNResultMergeTest( String test, boolean sparse )
{
//script
String TEST_NAME = test;
int xrow = sparse ? 1 : rows;
TestConfiguration config = getTestConfiguration(TEST_NAME);
config.addVariable("rows", rows);
config.addVariable("cols", cols);
loadTestConfiguration(config);
String HOME = SCRIPT_DIR + TEST_DIR;
fullDMLScriptName = HOME + TEST_NAME + ".dml";
programArgs = new String[]{"-args",
String.valueOf(rows), String.valueOf(xrow), output("R") };
fullRScriptName = HOME + TEST_NAME + ".R";
rCmd = "Rscript" + " " + fullRScriptName + " " +
String.valueOf(rows) + " " + String.valueOf(xrow) + " " + expectedDir();
//run tests
runTest(true, false, null, -1);
runRScript(true);
//compare matrices
HashMap<CellIndex, Double> dmlfile = readDMLMatrixFromHDFS("R");
HashMap<CellIndex, Double> rfile = replaceNaNValues(readRMatrixFromFS("R"));
TestUtils.compareMatrices(dmlfile, rfile, eps, "DML", "R");
}
/**
* Helper to replace all 1.0E308 with NaN because R is incapable of writing NaN
* through writeMM.
*
* @param ret
*/
private static HashMap<CellIndex, Double> replaceNaNValues(HashMap<CellIndex, Double> in)
{
HashMap<CellIndex, Double> out = new HashMap<>();
double NaN = 0d/0d;
for( Entry<CellIndex,Double> e : in.entrySet() ) {
if( e.getValue() == Math.pow(10, 308) )
out.put(e.getKey(), NaN);
else
out.put(e.getKey(), e.getValue());
}
return out;
}
}