src/test/java/org/apache/sysds/test/functions/aggregate/FullGroupedAggregateTest.java - systemds - Git at Google

 /*
  * 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 java.io.IOException;
 import java.util.HashMap;

 import org.junit.AfterClass;
 import org.junit.BeforeClass;
 import org.junit.Test;
 import org.apache.sysds.api.DMLScript;
 import org.apache.sysds.common.Types.ExecMode;
 import org.apache.sysds.common.Types.FileFormat;
 import org.apache.sysds.lops.LopProperties.ExecType;
 import org.apache.sysds.common.Types.ValueType;
 import org.apache.sysds.runtime.matrix.data.MatrixValue.CellIndex;
 import org.apache.sysds.runtime.meta.MatrixCharacteristics;
 import org.apache.sysds.runtime.util.HDFSTool;
 import org.apache.sysds.test.AutomatedTestBase;
 import org.apache.sysds.test.TestConfiguration;
 import org.apache.sysds.test.TestUtils;

 /**
  *
  */
 public class FullGroupedAggregateTest extends AutomatedTestBase
 {
 	private final static String TEST_NAME1 = "GroupedAggregate";
 	private final static String TEST_NAME2 = "GroupedAggregateWeights";

 	private final static String TEST_DIR = "functions/aggregate/";
 	private static final String TEST_CLASS_DIR = TEST_DIR + FullGroupedAggregateTest.class.getSimpleName() + "/";
 	private final static double eps = 1e-10;

 	private final static int rows = 17654;
 	private final static int cols = 1;
 	private final static double sparsity1 = 0.1;
 	private final static double sparsity2 = 0.7;

 	private final static int numGroups = 7;
 	private final static int maxWeight = 10;

 	private enum OpType{
 		SUM,
 		COUNT,
 		MEAN,
 		VARIANCE,
 		MOMENT3,
 		MOMENT4,
 	}


 	@Override
 	public void setUp()
 	{
 		addTestConfiguration(TEST_NAME1, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME1, new String[]{"C"}));
 		addTestConfiguration(TEST_NAME2, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME2, new String[]{"D"}));
 		TestUtils.clearAssertionInformation();

 		if (TEST_CACHE_ENABLED) {
 			setOutAndExpectedDeletionDisabled(true);
 		}
 	}

 	@BeforeClass
 	public static void init()
 	{
 		TestUtils.clearDirectory(TEST_DATA_DIR + TEST_CLASS_DIR);
 	}

 	@AfterClass
 	public static void cleanUp()
 	{
 		if (TEST_CACHE_ENABLED) {
 			TestUtils.clearDirectory(TEST_DATA_DIR + TEST_CLASS_DIR);
 		}
 	}

 	@Test
 	public void testGroupedAggSumDenseSP()
 	{
 		runGroupedAggregateOperationTest(OpType.SUM, false, false, false, ExecType.SPARK);
 	}

 	@Test
 	public void testGroupedAggSumSparseSP()
 	{
 		runGroupedAggregateOperationTest(OpType.SUM, true, false, false, ExecType.SPARK);
 	}

 	@Test
 	public void testGroupedAggSumDenseWeightsSP()
 	{
 		runGroupedAggregateOperationTest(OpType.SUM, false, true, false, ExecType.SPARK);
 	}

 	@Test
 	public void testGroupedAggSumSparseWeightsSP()
 	{
 		runGroupedAggregateOperationTest(OpType.SUM, true, true, false, ExecType.SPARK);
 	}

 	// This is not applicable for spark instruction
 //	@Test
 //	public void testGroupedAggSumDenseTransposeSP()
 //	{
 //		runGroupedAggregateOperationTest(OpType.SUM, false, false, true, ExecType.SPARK);
 //	}
 //
 //	@Test
 //	public void testGroupedAggSumSparseTransposeSP()
 //	{
 //		runGroupedAggregateOperationTest(OpType.SUM, true, false, true, ExecType.SPARK);
 //	}
 //
 //	@Test
 //	public void testGroupedAggSumDenseWeightsTransposeSP()
 //	{
 //		runGroupedAggregateOperationTest(OpType.SUM, false, true, true, ExecType.SPARK);
 //	}
 //
 //	@Test
 //	public void testGroupedAggSumSparseWeightsTransposeSP()
 //	{
 //		runGroupedAggregateOperationTest(OpType.SUM, true, true, true, ExecType.SPARK);
 //	}

 	@Test
 	public void testGroupedAggCountDenseSP()
 	{
 		runGroupedAggregateOperationTest(OpType.COUNT, false, false, false, ExecType.SPARK);
 	}

 	@Test
 	public void testGroupedAggCountSparseSP()
 	{
 		runGroupedAggregateOperationTest(OpType.COUNT, true, false, false, ExecType.SPARK);
 	}

 	@Test
 	public void testGroupedAggCountDenseWeightsSP()
 	{
 		runGroupedAggregateOperationTest(OpType.COUNT, false, true, false, ExecType.SPARK);
 	}

 	@Test
 	public void testGroupedAggCountSparseWeightsSP()
 	{
 		runGroupedAggregateOperationTest(OpType.COUNT, true, true, false, ExecType.SPARK);
 	}

 	@Test
 	public void testGroupedAggMeanDenseSP()
 	{
 		runGroupedAggregateOperationTest(OpType.MEAN, false, false, false, ExecType.SPARK);
 	}

 	@Test
 	public void testGroupedAggMeanSparseSP()
 	{
 		runGroupedAggregateOperationTest(OpType.MEAN, true, false, false, ExecType.SPARK);
 	}

 	@Test
 	public void testGroupedAggMeanDenseWeightsSP()
 	{
 		runGroupedAggregateOperationTest(OpType.MEAN, false, true, false, ExecType.SPARK);
 	}

 	@Test
 	public void testGroupedAggMeanSparseWeightsSP()
 	{
 		runGroupedAggregateOperationTest(OpType.MEAN, true, true, false, ExecType.SPARK);
 	}

 	@Test
 	public void testGroupedAggVarianceDenseSP()
 	{
 		runGroupedAggregateOperationTest(OpType.VARIANCE, false, false, false, ExecType.SPARK);
 	}

 	@Test
 	public void testGroupedAggVarianceSparseSP()
 	{
 		runGroupedAggregateOperationTest(OpType.VARIANCE, true, false, false, ExecType.SPARK);
 	}


 	@Test
 	public void testGroupedAggMoment3DenseSP()
 	{
 		runGroupedAggregateOperationTest(OpType.MOMENT3, false, false, false, ExecType.SPARK);
 	}

 	@Test
 	public void testGroupedAggMoment3SparseSP()
 	{
 		runGroupedAggregateOperationTest(OpType.MOMENT3, true, false, false, ExecType.SPARK);
 	}


 	@Test
 	public void testGroupedAggMoment4DenseSP()
 	{
 		runGroupedAggregateOperationTest(OpType.MOMENT4, false, false, false, ExecType.SPARK);
 	}

 	@Test
 	public void testGroupedAggMoment4SparseSP()
 	{
 		runGroupedAggregateOperationTest(OpType.MOMENT4, true, false, false, ExecType.SPARK);
 	}

 	// -----------------------------------------------------------------------

 	@Test
 	public void testGroupedAggSumDenseCP()
 	{
 		runGroupedAggregateOperationTest(OpType.SUM, false, false, false, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggSumSparseCP()
 	{
 		runGroupedAggregateOperationTest(OpType.SUM, true, false, false, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggSumDenseWeightsCP()
 	{
 		runGroupedAggregateOperationTest(OpType.SUM, false, true, false, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggSumSparseWeightsCP()
 	{
 		runGroupedAggregateOperationTest(OpType.SUM, true, true, false, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggSumDenseTransposeCP()
 	{
 		runGroupedAggregateOperationTest(OpType.SUM, false, false, true, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggSumSparseTransposeCP()
 	{
 		runGroupedAggregateOperationTest(OpType.SUM, true, false, true, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggSumDenseWeightsTransposeCP()
 	{
 		runGroupedAggregateOperationTest(OpType.SUM, false, true, true, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggSumSparseWeightsTransposeCP()
 	{
 		runGroupedAggregateOperationTest(OpType.SUM, true, true, true, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggCountDenseCP()
 	{
 		runGroupedAggregateOperationTest(OpType.COUNT, false, false, false, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggCountSparseCP()
 	{
 		runGroupedAggregateOperationTest(OpType.COUNT, true, false, false, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggCountDenseWeightsCP()
 	{
 		runGroupedAggregateOperationTest(OpType.COUNT, false, true, false, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggCountSparseWeightsCP()
 	{
 		runGroupedAggregateOperationTest(OpType.COUNT, true, true, false, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggMeanDenseCP()
 	{
 		runGroupedAggregateOperationTest(OpType.MEAN, false, false, false, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggMeanSparseCP()
 	{
 		runGroupedAggregateOperationTest(OpType.MEAN, true, false, false, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggMeanDenseWeightsCP()
 	{
 		runGroupedAggregateOperationTest(OpType.MEAN, false, true, false, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggMeanSparseWeightsCP()
 	{
 		runGroupedAggregateOperationTest(OpType.MEAN, true, true, false, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggVarianceDenseCP()
 	{
 		runGroupedAggregateOperationTest(OpType.VARIANCE, false, false, false, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggVarianceSparseCP()
 	{
 		runGroupedAggregateOperationTest(OpType.VARIANCE, true, false, false, ExecType.CP);
 	}

 	/* TODO weighted variance in R
 	@Test
 	public void testGroupedAggVarianceDenseWeightsCP()
 	{
 		runGroupedAggregateOperationTest(OpType.VARIANCE, false, true, false, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggVarianceSparseWeightsCP()
 	{
 		runGroupedAggregateOperationTest(OpType.VARIANCE, true, true, false, ExecType.CP);
 	}
 	*/

 	@Test
 	public void testGroupedAggMoment3DenseCP()
 	{
 		runGroupedAggregateOperationTest(OpType.MOMENT3, false, false, false, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggMoment3SparseCP()
 	{
 		runGroupedAggregateOperationTest(OpType.MOMENT3, true, false, false, ExecType.CP);
 	}

 	/* TODO weighted central moment in R
 	@Test
 	public void testGroupedAggMoment3DenseWeightsCP()
 	{
 		runGroupedAggregateOperationTest(OpType.MOMENT3, false, true, false, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggMoment3SparseWeightsCP()
 	{
 		runGroupedAggregateOperationTest(OpType.MOMENT3, true, true, false, ExecType.CP);
 	}
 	*/

 	@Test
 	public void testGroupedAggMoment4DenseCP()
 	{
 		runGroupedAggregateOperationTest(OpType.MOMENT4, false, false, false, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggMoment4SparseCP()
 	{
 		runGroupedAggregateOperationTest(OpType.MOMENT4, true, false, false, ExecType.CP);
 	}

 	/* TODO weighted central moment in R
 	@Test
 	public void testGroupedAggMoment4DenseWeightsCP()
 	{
 		runGroupedAggregateOperationTest(OpType.MOMENT4, false, true, false, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggMoment4SparseWeightsCP()
 	{
 		runGroupedAggregateOperationTest(OpType.MOMENT4, true, true, false, ExecType.CP);
 	}
 	*/

 	private void runGroupedAggregateOperationTest( OpType type, boolean sparse, boolean weights, boolean transpose, 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;

 		try
 		{
 			//determine script and function name
 			String TEST_NAME = weights ? TEST_NAME2 : TEST_NAME1;
 			int fn = type.ordinal();

 			double sparsity = (sparse) ? sparsity1 : sparsity2;

 			String TEST_CACHE_DIR = "";
 			if (TEST_CACHE_ENABLED)
 			{
 				TEST_CACHE_DIR = TEST_NAME + type.ordinal() + "_" + sparsity + "_" + transpose + "/";
 			}

 			TestConfiguration config = getTestConfiguration(TEST_NAME);
 			loadTestConfiguration(config, TEST_CACHE_DIR);

 			// 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";
 			if( !weights ){
 				programArgs = new String[]{"-explain","-args", input("A"), input("B"),
 					Integer.toString(fn), output("C") };
 			}
 			else{
 				programArgs = new String[]{"-args", input("A"), input("B"), input("C"),
 					Integer.toString(fn), output("D") };
 			}
 			fullRScriptName = HOME + TEST_NAME + ".R";
 			rCmd = "Rscript" + " " + fullRScriptName + " " + inputDir() + " " + fn + " " + expectedDir();

 			//generate actual dataset
 			double[][] A = getRandomMatrix(transpose?cols:rows, transpose?rows:cols, -0.05, 1, sparsity, 7);
 			writeInputMatrix("A", A, true);
 			MatrixCharacteristics mc1 = new MatrixCharacteristics(transpose?cols:rows, transpose?rows:cols,1000,1000);
 			HDFSTool.writeMetaDataFile(input("A.mtd"), ValueType.FP64, mc1, FileFormat.TEXT);
 			double[][] B = TestUtils.round(getRandomMatrix(rows, cols, 1, numGroups, 1.0, 3));
 			writeInputMatrix("B", B, true);
 			MatrixCharacteristics mc2 = new MatrixCharacteristics(rows,cols,1000,1000);
 			HDFSTool.writeMetaDataFile(input("B.mtd"), ValueType.FP64, mc2, FileFormat.TEXT);
 			if( weights ){
 				//currently we use integer weights due to our definition of weight as multiplicity
 				double[][] C = TestUtils.round(getRandomMatrix(rows, cols, 1, maxWeight, 1.0, 3));
 				writeInputMatrix("C", C, true);
 				MatrixCharacteristics mc3 = new MatrixCharacteristics(rows,cols,1000,1000);
 				HDFSTool.writeMetaDataFile(input("C.mtd"), ValueType.FP64, mc3, FileFormat.TEXT);
 			}

 			//run tests
 			runTest(true, false, null, -1);
 			runRScript(true);

 			//compare matrices
 			HashMap<CellIndex, Double> dmlfile = readDMLMatrixFromOutputDir(weights?"D":"C");
 			HashMap<CellIndex, Double> rfile  = readRMatrixFromExpectedDir(weights?"D":"C");
 			TestUtils.compareMatrices(dmlfile, rfile, eps, "Stat-DML", "Stat-R");
 		}
 		catch(IOException ex)
 		{
 			ex.printStackTrace();
 			throw new RuntimeException(ex);
 		}
 		finally
 		{
 			rtplatform = platformOld;
 			DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld;
 		}
 	}


 }
	/*
	* 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 java.io.IOException;
	import java.util.HashMap;

	import org.junit.AfterClass;
	import org.junit.BeforeClass;
	import org.junit.Test;
	import org.apache.sysds.api.DMLScript;
	import org.apache.sysds.common.Types.ExecMode;
	import org.apache.sysds.common.Types.FileFormat;
	import org.apache.sysds.lops.LopProperties.ExecType;
	import org.apache.sysds.common.Types.ValueType;
	import org.apache.sysds.runtime.matrix.data.MatrixValue.CellIndex;
	import org.apache.sysds.runtime.meta.MatrixCharacteristics;
	import org.apache.sysds.runtime.util.HDFSTool;
	import org.apache.sysds.test.AutomatedTestBase;
	import org.apache.sysds.test.TestConfiguration;
	import org.apache.sysds.test.TestUtils;

	/**
	*
	*/
	public class FullGroupedAggregateTest extends AutomatedTestBase
	{
	private final static String TEST_NAME1 = "GroupedAggregate";
	private final static String TEST_NAME2 = "GroupedAggregateWeights";

	private final static String TEST_DIR = "functions/aggregate/";
	private static final String TEST_CLASS_DIR = TEST_DIR + FullGroupedAggregateTest.class.getSimpleName() + "/";
	private final static double eps = 1e-10;

	private final static int rows = 17654;
	private final static int cols = 1;
	private final static double sparsity1 = 0.1;
	private final static double sparsity2 = 0.7;

	private final static int numGroups = 7;
	private final static int maxWeight = 10;

	private enum OpType{
	SUM,
	COUNT,
	MEAN,
	VARIANCE,
	MOMENT3,
	MOMENT4,
	}


	@Override
	public void setUp()
	{
	addTestConfiguration(TEST_NAME1, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME1, new String[]{"C"}));
	addTestConfiguration(TEST_NAME2, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME2, new String[]{"D"}));
	TestUtils.clearAssertionInformation();

	if (TEST_CACHE_ENABLED) {
	setOutAndExpectedDeletionDisabled(true);
	}
	}

	@BeforeClass
	public static void init()
	{
	TestUtils.clearDirectory(TEST_DATA_DIR + TEST_CLASS_DIR);
	}

	@AfterClass
	public static void cleanUp()
	{
	if (TEST_CACHE_ENABLED) {
	TestUtils.clearDirectory(TEST_DATA_DIR + TEST_CLASS_DIR);
	}
	}

	@Test
	public void testGroupedAggSumDenseSP()
	{
	runGroupedAggregateOperationTest(OpType.SUM, false, false, false, ExecType.SPARK);
	}

	@Test
	public void testGroupedAggSumSparseSP()
	{
	runGroupedAggregateOperationTest(OpType.SUM, true, false, false, ExecType.SPARK);
	}

	@Test
	public void testGroupedAggSumDenseWeightsSP()
	{
	runGroupedAggregateOperationTest(OpType.SUM, false, true, false, ExecType.SPARK);
	}

	@Test
	public void testGroupedAggSumSparseWeightsSP()
	{
	runGroupedAggregateOperationTest(OpType.SUM, true, true, false, ExecType.SPARK);
	}

	// This is not applicable for spark instruction
	// @Test
	// public void testGroupedAggSumDenseTransposeSP()
	// {
	// runGroupedAggregateOperationTest(OpType.SUM, false, false, true, ExecType.SPARK);
	// }
	//
	// @Test
	// public void testGroupedAggSumSparseTransposeSP()
	// {
	// runGroupedAggregateOperationTest(OpType.SUM, true, false, true, ExecType.SPARK);
	// }
	//
	// @Test
	// public void testGroupedAggSumDenseWeightsTransposeSP()
	// {
	// runGroupedAggregateOperationTest(OpType.SUM, false, true, true, ExecType.SPARK);
	// }
	//
	// @Test
	// public void testGroupedAggSumSparseWeightsTransposeSP()
	// {
	// runGroupedAggregateOperationTest(OpType.SUM, true, true, true, ExecType.SPARK);
	// }

	@Test
	public void testGroupedAggCountDenseSP()
	{
	runGroupedAggregateOperationTest(OpType.COUNT, false, false, false, ExecType.SPARK);
	}

	@Test
	public void testGroupedAggCountSparseSP()
	{
	runGroupedAggregateOperationTest(OpType.COUNT, true, false, false, ExecType.SPARK);
	}

	@Test
	public void testGroupedAggCountDenseWeightsSP()
	{
	runGroupedAggregateOperationTest(OpType.COUNT, false, true, false, ExecType.SPARK);
	}

	@Test
	public void testGroupedAggCountSparseWeightsSP()
	{
	runGroupedAggregateOperationTest(OpType.COUNT, true, true, false, ExecType.SPARK);
	}

	@Test
	public void testGroupedAggMeanDenseSP()
	{
	runGroupedAggregateOperationTest(OpType.MEAN, false, false, false, ExecType.SPARK);
	}

	@Test
	public void testGroupedAggMeanSparseSP()
	{
	runGroupedAggregateOperationTest(OpType.MEAN, true, false, false, ExecType.SPARK);
	}

	@Test
	public void testGroupedAggMeanDenseWeightsSP()
	{
	runGroupedAggregateOperationTest(OpType.MEAN, false, true, false, ExecType.SPARK);
	}

	@Test
	public void testGroupedAggMeanSparseWeightsSP()
	{
	runGroupedAggregateOperationTest(OpType.MEAN, true, true, false, ExecType.SPARK);
	}

	@Test
	public void testGroupedAggVarianceDenseSP()
	{
	runGroupedAggregateOperationTest(OpType.VARIANCE, false, false, false, ExecType.SPARK);
	}

	@Test
	public void testGroupedAggVarianceSparseSP()
	{
	runGroupedAggregateOperationTest(OpType.VARIANCE, true, false, false, ExecType.SPARK);
	}


	@Test
	public void testGroupedAggMoment3DenseSP()
	{
	runGroupedAggregateOperationTest(OpType.MOMENT3, false, false, false, ExecType.SPARK);
	}

	@Test
	public void testGroupedAggMoment3SparseSP()
	{
	runGroupedAggregateOperationTest(OpType.MOMENT3, true, false, false, ExecType.SPARK);
	}


	@Test
	public void testGroupedAggMoment4DenseSP()
	{
	runGroupedAggregateOperationTest(OpType.MOMENT4, false, false, false, ExecType.SPARK);
	}

	@Test
	public void testGroupedAggMoment4SparseSP()
	{
	runGroupedAggregateOperationTest(OpType.MOMENT4, true, false, false, ExecType.SPARK);
	}

	// -----------------------------------------------------------------------

	@Test
	public void testGroupedAggSumDenseCP()
	{
	runGroupedAggregateOperationTest(OpType.SUM, false, false, false, ExecType.CP);
	}

	@Test
	public void testGroupedAggSumSparseCP()
	{
	runGroupedAggregateOperationTest(OpType.SUM, true, false, false, ExecType.CP);
	}

	@Test
	public void testGroupedAggSumDenseWeightsCP()
	{
	runGroupedAggregateOperationTest(OpType.SUM, false, true, false, ExecType.CP);
	}

	@Test
	public void testGroupedAggSumSparseWeightsCP()
	{
	runGroupedAggregateOperationTest(OpType.SUM, true, true, false, ExecType.CP);
	}

	@Test
	public void testGroupedAggSumDenseTransposeCP()
	{
	runGroupedAggregateOperationTest(OpType.SUM, false, false, true, ExecType.CP);
	}

	@Test
	public void testGroupedAggSumSparseTransposeCP()
	{
	runGroupedAggregateOperationTest(OpType.SUM, true, false, true, ExecType.CP);
	}

	@Test
	public void testGroupedAggSumDenseWeightsTransposeCP()
	{
	runGroupedAggregateOperationTest(OpType.SUM, false, true, true, ExecType.CP);
	}

	@Test
	public void testGroupedAggSumSparseWeightsTransposeCP()
	{
	runGroupedAggregateOperationTest(OpType.SUM, true, true, true, ExecType.CP);
	}

	@Test
	public void testGroupedAggCountDenseCP()
	{
	runGroupedAggregateOperationTest(OpType.COUNT, false, false, false, ExecType.CP);
	}

	@Test
	public void testGroupedAggCountSparseCP()
	{
	runGroupedAggregateOperationTest(OpType.COUNT, true, false, false, ExecType.CP);
	}

	@Test
	public void testGroupedAggCountDenseWeightsCP()
	{
	runGroupedAggregateOperationTest(OpType.COUNT, false, true, false, ExecType.CP);
	}

	@Test
	public void testGroupedAggCountSparseWeightsCP()
	{
	runGroupedAggregateOperationTest(OpType.COUNT, true, true, false, ExecType.CP);
	}

	@Test
	public void testGroupedAggMeanDenseCP()
	{
	runGroupedAggregateOperationTest(OpType.MEAN, false, false, false, ExecType.CP);
	}

	@Test
	public void testGroupedAggMeanSparseCP()
	{
	runGroupedAggregateOperationTest(OpType.MEAN, true, false, false, ExecType.CP);
	}

	@Test
	public void testGroupedAggMeanDenseWeightsCP()
	{
	runGroupedAggregateOperationTest(OpType.MEAN, false, true, false, ExecType.CP);
	}

	@Test
	public void testGroupedAggMeanSparseWeightsCP()
	{
	runGroupedAggregateOperationTest(OpType.MEAN, true, true, false, ExecType.CP);
	}

	@Test
	public void testGroupedAggVarianceDenseCP()
	{
	runGroupedAggregateOperationTest(OpType.VARIANCE, false, false, false, ExecType.CP);
	}

	@Test
	public void testGroupedAggVarianceSparseCP()
	{
	runGroupedAggregateOperationTest(OpType.VARIANCE, true, false, false, ExecType.CP);
	}

	/* TODO weighted variance in R
	@Test
	public void testGroupedAggVarianceDenseWeightsCP()
	{
	runGroupedAggregateOperationTest(OpType.VARIANCE, false, true, false, ExecType.CP);
	}

	@Test
	public void testGroupedAggVarianceSparseWeightsCP()
	{
	runGroupedAggregateOperationTest(OpType.VARIANCE, true, true, false, ExecType.CP);
	}
	*/

	@Test
	public void testGroupedAggMoment3DenseCP()
	{
	runGroupedAggregateOperationTest(OpType.MOMENT3, false, false, false, ExecType.CP);
	}

	@Test
	public void testGroupedAggMoment3SparseCP()
	{
	runGroupedAggregateOperationTest(OpType.MOMENT3, true, false, false, ExecType.CP);
	}

	/* TODO weighted central moment in R
	@Test
	public void testGroupedAggMoment3DenseWeightsCP()
	{
	runGroupedAggregateOperationTest(OpType.MOMENT3, false, true, false, ExecType.CP);
	}

	@Test
	public void testGroupedAggMoment3SparseWeightsCP()
	{
	runGroupedAggregateOperationTest(OpType.MOMENT3, true, true, false, ExecType.CP);
	}
	*/

	@Test
	public void testGroupedAggMoment4DenseCP()
	{
	runGroupedAggregateOperationTest(OpType.MOMENT4, false, false, false, ExecType.CP);
	}

	@Test
	public void testGroupedAggMoment4SparseCP()
	{
	runGroupedAggregateOperationTest(OpType.MOMENT4, true, false, false, ExecType.CP);
	}

	/* TODO weighted central moment in R
	@Test
	public void testGroupedAggMoment4DenseWeightsCP()
	{
	runGroupedAggregateOperationTest(OpType.MOMENT4, false, true, false, ExecType.CP);
	}

	@Test
	public void testGroupedAggMoment4SparseWeightsCP()
	{
	runGroupedAggregateOperationTest(OpType.MOMENT4, true, true, false, ExecType.CP);
	}
	*/

	private void runGroupedAggregateOperationTest( OpType type, boolean sparse, boolean weights, boolean transpose, 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;

	try
	{
	//determine script and function name
	String TEST_NAME = weights ? TEST_NAME2 : TEST_NAME1;
	int fn = type.ordinal();

	double sparsity = (sparse) ? sparsity1 : sparsity2;

	String TEST_CACHE_DIR = "";
	if (TEST_CACHE_ENABLED)
	{
	TEST_CACHE_DIR = TEST_NAME + type.ordinal() + "_" + sparsity + "_" + transpose + "/";
	}

	TestConfiguration config = getTestConfiguration(TEST_NAME);
	loadTestConfiguration(config, TEST_CACHE_DIR);

	// 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";
	if( !weights ){
	programArgs = new String[]{"-explain","-args", input("A"), input("B"),
	Integer.toString(fn), output("C") };
	}
	else{
	programArgs = new String[]{"-args", input("A"), input("B"), input("C"),
	Integer.toString(fn), output("D") };
	}
	fullRScriptName = HOME + TEST_NAME + ".R";
	rCmd = "Rscript" + " " + fullRScriptName + " " + inputDir() + " " + fn + " " + expectedDir();

	//generate actual dataset
	double[][] A = getRandomMatrix(transpose?cols:rows, transpose?rows:cols, -0.05, 1, sparsity, 7);
	writeInputMatrix("A", A, true);
	MatrixCharacteristics mc1 = new MatrixCharacteristics(transpose?cols:rows, transpose?rows:cols,1000,1000);
	HDFSTool.writeMetaDataFile(input("A.mtd"), ValueType.FP64, mc1, FileFormat.TEXT);
	double[][] B = TestUtils.round(getRandomMatrix(rows, cols, 1, numGroups, 1.0, 3));
	writeInputMatrix("B", B, true);
	MatrixCharacteristics mc2 = new MatrixCharacteristics(rows,cols,1000,1000);
	HDFSTool.writeMetaDataFile(input("B.mtd"), ValueType.FP64, mc2, FileFormat.TEXT);
	if( weights ){
	//currently we use integer weights due to our definition of weight as multiplicity
	double[][] C = TestUtils.round(getRandomMatrix(rows, cols, 1, maxWeight, 1.0, 3));
	writeInputMatrix("C", C, true);
	MatrixCharacteristics mc3 = new MatrixCharacteristics(rows,cols,1000,1000);
	HDFSTool.writeMetaDataFile(input("C.mtd"), ValueType.FP64, mc3, FileFormat.TEXT);
	}

	//run tests
	runTest(true, false, null, -1);
	runRScript(true);

	//compare matrices
	HashMap<CellIndex, Double> dmlfile = readDMLMatrixFromOutputDir(weights?"D":"C");
	HashMap<CellIndex, Double> rfile = readRMatrixFromExpectedDir(weights?"D":"C");
	TestUtils.compareMatrices(dmlfile, rfile, eps, "Stat-DML", "Stat-R");
	}
	catch(IOException ex)
	{
	ex.printStackTrace();
	throw new RuntimeException(ex);
	}
	finally
	{
	rtplatform = platformOld;
	DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld;
	}
	}


	}