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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.reorg;
import java.util.HashMap;
import org.junit.Assert;
import org.junit.Test;
import org.apache.sysds.api.DMLScript;
import org.apache.sysds.common.Types.ExecMode;
import org.apache.sysds.lops.LopProperties.ExecType;
import org.apache.sysds.runtime.instructions.Instruction;
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;
import org.apache.sysds.utils.Statistics;
public class FullReverseTest extends AutomatedTestBase
{
private final static String TEST_NAME1 = "Reverse1";
private final static String TEST_NAME2 = "Reverse2";
private final static String TEST_DIR = "functions/reorg/";
private static final String TEST_CLASS_DIR = TEST_DIR + FullReverseTest.class.getSimpleName() + "/";
private final static int rows1 = 2017;
private final static int cols1 = 1001;
private final static double sparsity1 = 0.7;
private final static double sparsity2 = 0.1;
@Override
public void setUp() {
TestUtils.clearAssertionInformation();
addTestConfiguration(TEST_NAME1, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME1, new String[]{"B"}));
addTestConfiguration(TEST_NAME2, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME2, new String[]{"B"}));
}
@Test
public void testReverseVectorDenseCP() {
runReverseTest(TEST_NAME1, false, false, ExecType.CP);
}
@Test
public void testReverseVectorSparseCP() {
runReverseTest(TEST_NAME1, false, true, ExecType.CP);
}
@Test
public void testReverseVectorDenseSP() {
runReverseTest(TEST_NAME1, false, false, ExecType.SPARK);
}
@Test
public void testReverseVectorSparseSP() {
runReverseTest(TEST_NAME1, false, true, ExecType.SPARK);
}
@Test
public void testReverseMatrixDenseCP() {
runReverseTest(TEST_NAME1, true, false, ExecType.CP);
}
@Test
public void testReverseMatrixSparseCP() {
runReverseTest(TEST_NAME1, true, true, ExecType.CP);
}
@Test
public void testReverseMatrixDenseSP() {
runReverseTest(TEST_NAME1, true, false, ExecType.SPARK);
}
@Test
public void testReverseMatrixSparseSP() {
runReverseTest(TEST_NAME1, true, true, ExecType.SPARK);
}
@Test
public void testReverseVectorDenseRewriteCP() {
runReverseTest(TEST_NAME2, false, false, ExecType.CP);
}
@Test
public void testReverseMatrixDenseRewriteCP() {
runReverseTest(TEST_NAME2, true, false, ExecType.CP);
}
/**
*
* @param sparseM1
* @param sparseM2
* @param instType
*/
private void runReverseTest(String testname, boolean matrix, boolean sparse, ExecType instType)
{
//rtplatform for MR
ExecMode platformOld = rtplatform;
switch( instType ){
case SPARK: rtplatform = ExecMode.SPARK; break;
default: rtplatform = ExecMode.HYBRID; break;
}
boolean sparkConfigOld = DMLScript.USE_LOCAL_SPARK_CONFIG;
if( rtplatform == ExecMode.SPARK )
DMLScript.USE_LOCAL_SPARK_CONFIG = true;
String TEST_NAME = testname;
try
{
int cols = matrix ? cols1 : 1;
double sparsity = sparse ? sparsity2 : sparsity1;
getAndLoadTestConfiguration(TEST_NAME);
/* 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[]{"-stats","-explain","-args", input("A"), output("B") };
fullRScriptName = HOME + TEST_NAME + ".R";
rCmd = "Rscript" + " " + fullRScriptName + " " + inputDir() + " " + expectedDir();
//generate actual dataset
double[][] A = getRandomMatrix(rows1, cols, -1, 1, sparsity, 7);
writeInputMatrixWithMTD("A", A, true);
runTest(true, false, null, -1);
runRScript(true);
//compare matrices
HashMap<CellIndex, Double> dmlfile = readDMLMatrixFromOutputDir("B");
HashMap<CellIndex, Double> rfile = readRMatrixFromExpectedDir("B");
TestUtils.compareMatrices(dmlfile, rfile, 0, "Stat-DML", "Stat-R");
//check generated opcode
if( instType == ExecType.CP )
Assert.assertTrue("Missing opcode: rev", Statistics.getCPHeavyHitterOpCodes().contains("rev"));
else if ( instType == ExecType.SPARK )
Assert.assertTrue("Missing opcode: "+Instruction.SP_INST_PREFIX+"rev", Statistics.getCPHeavyHitterOpCodes().contains(Instruction.SP_INST_PREFIX+"rev"));
}
finally
{
//reset flags
rtplatform = platformOld;
DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld;
}
}
}