src/test/java/org/apache/sysds/test/functions/aggregate/FullGroupedAggregateMatrixTest.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.apache.sysds.api.DMLScript;
 import org.apache.sysds.common.Types.ExecMode;
 import org.apache.sysds.common.Types.FileFormat;
 import org.apache.sysds.common.Types.ValueType;
 import org.apache.sysds.lops.LopProperties.ExecType;
 import org.apache.sysds.runtime.DMLRuntimeException;
 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;
 import org.junit.AfterClass;
 import org.junit.BeforeClass;
 import org.junit.Test;

 /**
  *
  */
 public class FullGroupedAggregateMatrixTest extends AutomatedTestBase
 {
 	private final static String TEST_NAME1 = "GroupedAggregateMatrix";
 	private final static String TEST_NAME2 = "GroupedAggregateMatrixNoDims";

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

 	private final static int rows = 1765;
 	private final static int cols = 19;
 	private final static int cols2 = 1007;

 	private final static double sparsity1 = 0.1;
 	private final static double sparsity2 = 0.7;

 	private final static int numGroups = 17;

 	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[]{"C"}));
 		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);
 		}
 	}

 	//CP testcases

 	@Test
 	public void testGroupedAggSumDenseCP() {
 		runGroupedAggregateOperationTest(TEST_NAME1, OpType.SUM, false, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggSumSparseCP() {
 		runGroupedAggregateOperationTest(TEST_NAME1, OpType.SUM, true, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggCountDenseCP() {
 		runGroupedAggregateOperationTest(TEST_NAME1, OpType.COUNT, false, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggCountSparseCP() {
 		runGroupedAggregateOperationTest(TEST_NAME1, OpType.COUNT, true, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggMeanDenseCP() {
 		runGroupedAggregateOperationTest(TEST_NAME1, OpType.MEAN, false, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggMeanSparseCP() {
 		runGroupedAggregateOperationTest(TEST_NAME1, OpType.MEAN, true, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggVarDenseCP() {
 		runGroupedAggregateOperationTest(TEST_NAME1, OpType.VARIANCE, false, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggVarSparseCP() {
 		runGroupedAggregateOperationTest(TEST_NAME1, OpType.VARIANCE, true, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggMoment3DenseCP() {
 		runGroupedAggregateOperationTest(TEST_NAME1, OpType.MOMENT3, false, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggMoment3SparseCP() {
 		runGroupedAggregateOperationTest(TEST_NAME1, OpType.MOMENT3, true, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggMoment4DenseCP() {
 		runGroupedAggregateOperationTest(TEST_NAME1, OpType.MOMENT4, false, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggMoment4SparseCP() {
 		runGroupedAggregateOperationTest(TEST_NAME1, OpType.MOMENT4, true, ExecType.CP);
 	}

 	@Test
 	public void testGroupedAggSumDenseWideCP() {
 		runGroupedAggregateOperationTest(TEST_NAME1, OpType.SUM, false, ExecType.CP, cols2);
 	}

 	@Test
 	public void testGroupedAggSumSparseWideCP() {
 		runGroupedAggregateOperationTest(TEST_NAME1, OpType.SUM, true, ExecType.CP, cols2);
 	}

 	//special CP testcases (negative)

 	@Test
 	public void testGroupedAggSumDenseCPNoDims() {
 		runGroupedAggregateOperationTest(TEST_NAME2, OpType.SUM, false, ExecType.CP);
 	}


 	//SP testcases

 	@Test
 	public void testGroupedAggSumDenseSP() {
 		runGroupedAggregateOperationTest(TEST_NAME1, OpType.SUM, false, ExecType.SPARK);
 	}

 	@Test
 	public void testGroupedAggSumSparseSP() {
 		runGroupedAggregateOperationTest(TEST_NAME1, OpType.SUM, true, ExecType.SPARK);
 	}

 	@Test
 	public void testGroupedAggCountDenseSP() {
 		runGroupedAggregateOperationTest(TEST_NAME1, OpType.COUNT, false, ExecType.SPARK);
 	}

 	@Test
 	public void testGroupedAggCountSparseSP() {
 		runGroupedAggregateOperationTest(TEST_NAME1, OpType.COUNT, true, ExecType.SPARK);
 	}

 	@Test
 	public void testGroupedAggMeanDenseSP() {
 		runGroupedAggregateOperationTest(TEST_NAME1, OpType.MEAN, false, ExecType.SPARK);
 	}

 	@Test
 	public void testGroupedAggMeanSparseSP() {
 		runGroupedAggregateOperationTest(TEST_NAME1, OpType.MEAN, true, ExecType.SPARK);
 	}

 	@Test
 	public void testGroupedAggVarDenseSP() {
 		runGroupedAggregateOperationTest(TEST_NAME1, OpType.VARIANCE, false, ExecType.SPARK);
 	}

 	@Test
 	public void testGroupedAggVarSparseSP() {
 		runGroupedAggregateOperationTest(TEST_NAME1, OpType.VARIANCE, true, ExecType.SPARK);
 	}

 	@Test
 	public void testGroupedAggMoment3DenseSP() {
 		runGroupedAggregateOperationTest(TEST_NAME1, OpType.MOMENT3, false, ExecType.SPARK);
 	}

 	@Test
 	public void testGroupedAggMoment3SparseSP() {
 		runGroupedAggregateOperationTest(TEST_NAME1, OpType.MOMENT3, true, ExecType.SPARK);
 	}

 	@Test
 	public void testGroupedAggMoment4DenseSP() {
 		runGroupedAggregateOperationTest(TEST_NAME1, OpType.MOMENT4, false, ExecType.SPARK);
 	}

 	@Test
 	public void testGroupedAggMoment4SparseSP() {
 		runGroupedAggregateOperationTest(TEST_NAME1, OpType.MOMENT4, true, ExecType.SPARK);
 	}

 	@Test
 	public void testGroupedAggSumDenseWideSP() {
 		runGroupedAggregateOperationTest(TEST_NAME1, OpType.SUM, false, ExecType.SPARK, cols2);
 	}

 	@Test
 	public void testGroupedAggSumSparseWideSP() {
 		runGroupedAggregateOperationTest(TEST_NAME1, OpType.SUM, true, ExecType.SPARK, cols2);
 	}

 	private void runGroupedAggregateOperationTest( String testname, OpType type, boolean sparse, ExecType instType) {
 		runGroupedAggregateOperationTest(testname, type, sparse, instType, cols);
 	}

 	@SuppressWarnings("rawtypes")
 	private void runGroupedAggregateOperationTest( String testname, OpType type, boolean sparse, ExecType instType, int numCols)
 	{
 		//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 = testname;
 			int fn = type.ordinal();
 			double sparsity = (sparse) ? sparsity1 : sparsity2;
 			String TEST_CACHE_DIR = TEST_CACHE_ENABLED ? TEST_NAME + type.ordinal() + "_" + sparsity + "_" + numCols + "/" : "";
 			boolean exceptionExpected = !TEST_NAME.equals(TEST_NAME1);

 			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";
 			programArgs = new String[]{"-explain","-args", input("A"), input("B"),
 				String.valueOf(fn), String.valueOf(numGroups), output("C") };
 			fullRScriptName = HOME + TEST_NAME + ".R";
 			rCmd = "Rscript" + " " + fullRScriptName + " " + inputDir() + " " + fn + " " + expectedDir();

 			//generate actual dataset
 			double[][] A = getRandomMatrix(rows, numCols, -0.05, 1, sparsity, 7);
 			writeInputMatrix("A", A, true);
 			MatrixCharacteristics mc1 = new MatrixCharacteristics(rows, numCols,1000,1000);
 			HDFSTool.writeMetaDataFile(input("A.mtd"), ValueType.FP64, mc1, FileFormat.TEXT);
 			double[][] B = TestUtils.round(getRandomMatrix(rows, 1, 1, numGroups, 1.0, 3));
 			writeInputMatrix("B", B, true);
 			MatrixCharacteristics mc2 = new MatrixCharacteristics(rows,1,1000,1000);
 			HDFSTool.writeMetaDataFile(input("B.mtd"), ValueType.FP64, mc2, FileFormat.TEXT);

 			//run tests
 			Class cla = (exceptionExpected ? DMLRuntimeException.class : null);
 			runTest(true, exceptionExpected, cla, -1);

 			//compare matrices
 			if( !exceptionExpected ){
 				//run R script for comparison
 				runRScript(true);

 				//compare output matrices
 				HashMap<CellIndex, Double> dmlfile = readDMLMatrixFromHDFS("C");
 				HashMap<CellIndex, Double> rfile  = readRMatrixFromFS("C");
 				TestUtils.compareMatrices(dmlfile, rfile, eps, "Stat-DML", "Stat-R");

 				//check dml output meta data
 				checkDMLMetaDataFile("C", new MatrixCharacteristics(numGroups,numCols,1,1));
 			}
 		}
 		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.apache.sysds.api.DMLScript;
	import org.apache.sysds.common.Types.ExecMode;
	import org.apache.sysds.common.Types.FileFormat;
	import org.apache.sysds.common.Types.ValueType;
	import org.apache.sysds.lops.LopProperties.ExecType;
	import org.apache.sysds.runtime.DMLRuntimeException;
	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;
	import org.junit.AfterClass;
	import org.junit.BeforeClass;
	import org.junit.Test;

	/**
	*
	*/
	public class FullGroupedAggregateMatrixTest extends AutomatedTestBase
	{
	private final static String TEST_NAME1 = "GroupedAggregateMatrix";
	private final static String TEST_NAME2 = "GroupedAggregateMatrixNoDims";

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

	private final static int rows = 1765;
	private final static int cols = 19;
	private final static int cols2 = 1007;

	private final static double sparsity1 = 0.1;
	private final static double sparsity2 = 0.7;

	private final static int numGroups = 17;

	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[]{"C"}));
	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);
	}
	}

	//CP testcases

	@Test
	public void testGroupedAggSumDenseCP() {
	runGroupedAggregateOperationTest(TEST_NAME1, OpType.SUM, false, ExecType.CP);
	}

	@Test
	public void testGroupedAggSumSparseCP() {
	runGroupedAggregateOperationTest(TEST_NAME1, OpType.SUM, true, ExecType.CP);
	}

	@Test
	public void testGroupedAggCountDenseCP() {
	runGroupedAggregateOperationTest(TEST_NAME1, OpType.COUNT, false, ExecType.CP);
	}

	@Test
	public void testGroupedAggCountSparseCP() {
	runGroupedAggregateOperationTest(TEST_NAME1, OpType.COUNT, true, ExecType.CP);
	}

	@Test
	public void testGroupedAggMeanDenseCP() {
	runGroupedAggregateOperationTest(TEST_NAME1, OpType.MEAN, false, ExecType.CP);
	}

	@Test
	public void testGroupedAggMeanSparseCP() {
	runGroupedAggregateOperationTest(TEST_NAME1, OpType.MEAN, true, ExecType.CP);
	}

	@Test
	public void testGroupedAggVarDenseCP() {
	runGroupedAggregateOperationTest(TEST_NAME1, OpType.VARIANCE, false, ExecType.CP);
	}

	@Test
	public void testGroupedAggVarSparseCP() {
	runGroupedAggregateOperationTest(TEST_NAME1, OpType.VARIANCE, true, ExecType.CP);
	}

	@Test
	public void testGroupedAggMoment3DenseCP() {
	runGroupedAggregateOperationTest(TEST_NAME1, OpType.MOMENT3, false, ExecType.CP);
	}

	@Test
	public void testGroupedAggMoment3SparseCP() {
	runGroupedAggregateOperationTest(TEST_NAME1, OpType.MOMENT3, true, ExecType.CP);
	}

	@Test
	public void testGroupedAggMoment4DenseCP() {
	runGroupedAggregateOperationTest(TEST_NAME1, OpType.MOMENT4, false, ExecType.CP);
	}

	@Test
	public void testGroupedAggMoment4SparseCP() {
	runGroupedAggregateOperationTest(TEST_NAME1, OpType.MOMENT4, true, ExecType.CP);
	}

	@Test
	public void testGroupedAggSumDenseWideCP() {
	runGroupedAggregateOperationTest(TEST_NAME1, OpType.SUM, false, ExecType.CP, cols2);
	}

	@Test
	public void testGroupedAggSumSparseWideCP() {
	runGroupedAggregateOperationTest(TEST_NAME1, OpType.SUM, true, ExecType.CP, cols2);
	}

	//special CP testcases (negative)

	@Test
	public void testGroupedAggSumDenseCPNoDims() {
	runGroupedAggregateOperationTest(TEST_NAME2, OpType.SUM, false, ExecType.CP);
	}


	//SP testcases

	@Test
	public void testGroupedAggSumDenseSP() {
	runGroupedAggregateOperationTest(TEST_NAME1, OpType.SUM, false, ExecType.SPARK);
	}

	@Test
	public void testGroupedAggSumSparseSP() {
	runGroupedAggregateOperationTest(TEST_NAME1, OpType.SUM, true, ExecType.SPARK);
	}

	@Test
	public void testGroupedAggCountDenseSP() {
	runGroupedAggregateOperationTest(TEST_NAME1, OpType.COUNT, false, ExecType.SPARK);
	}

	@Test
	public void testGroupedAggCountSparseSP() {
	runGroupedAggregateOperationTest(TEST_NAME1, OpType.COUNT, true, ExecType.SPARK);
	}

	@Test
	public void testGroupedAggMeanDenseSP() {
	runGroupedAggregateOperationTest(TEST_NAME1, OpType.MEAN, false, ExecType.SPARK);
	}

	@Test
	public void testGroupedAggMeanSparseSP() {
	runGroupedAggregateOperationTest(TEST_NAME1, OpType.MEAN, true, ExecType.SPARK);
	}

	@Test
	public void testGroupedAggVarDenseSP() {
	runGroupedAggregateOperationTest(TEST_NAME1, OpType.VARIANCE, false, ExecType.SPARK);
	}

	@Test
	public void testGroupedAggVarSparseSP() {
	runGroupedAggregateOperationTest(TEST_NAME1, OpType.VARIANCE, true, ExecType.SPARK);
	}

	@Test
	public void testGroupedAggMoment3DenseSP() {
	runGroupedAggregateOperationTest(TEST_NAME1, OpType.MOMENT3, false, ExecType.SPARK);
	}

	@Test
	public void testGroupedAggMoment3SparseSP() {
	runGroupedAggregateOperationTest(TEST_NAME1, OpType.MOMENT3, true, ExecType.SPARK);
	}

	@Test
	public void testGroupedAggMoment4DenseSP() {
	runGroupedAggregateOperationTest(TEST_NAME1, OpType.MOMENT4, false, ExecType.SPARK);
	}

	@Test
	public void testGroupedAggMoment4SparseSP() {
	runGroupedAggregateOperationTest(TEST_NAME1, OpType.MOMENT4, true, ExecType.SPARK);
	}

	@Test
	public void testGroupedAggSumDenseWideSP() {
	runGroupedAggregateOperationTest(TEST_NAME1, OpType.SUM, false, ExecType.SPARK, cols2);
	}

	@Test
	public void testGroupedAggSumSparseWideSP() {
	runGroupedAggregateOperationTest(TEST_NAME1, OpType.SUM, true, ExecType.SPARK, cols2);
	}

	private void runGroupedAggregateOperationTest( String testname, OpType type, boolean sparse, ExecType instType) {
	runGroupedAggregateOperationTest(testname, type, sparse, instType, cols);
	}

	@SuppressWarnings("rawtypes")
	private void runGroupedAggregateOperationTest( String testname, OpType type, boolean sparse, ExecType instType, int numCols)
	{
	//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 = testname;
	int fn = type.ordinal();
	double sparsity = (sparse) ? sparsity1 : sparsity2;
	String TEST_CACHE_DIR = TEST_CACHE_ENABLED ? TEST_NAME + type.ordinal() + "_" + sparsity + "_" + numCols + "/" : "";
	boolean exceptionExpected = !TEST_NAME.equals(TEST_NAME1);

	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";
	programArgs = new String[]{"-explain","-args", input("A"), input("B"),
	String.valueOf(fn), String.valueOf(numGroups), output("C") };
	fullRScriptName = HOME + TEST_NAME + ".R";
	rCmd = "Rscript" + " " + fullRScriptName + " " + inputDir() + " " + fn + " " + expectedDir();

	//generate actual dataset
	double[][] A = getRandomMatrix(rows, numCols, -0.05, 1, sparsity, 7);
	writeInputMatrix("A", A, true);
	MatrixCharacteristics mc1 = new MatrixCharacteristics(rows, numCols,1000,1000);
	HDFSTool.writeMetaDataFile(input("A.mtd"), ValueType.FP64, mc1, FileFormat.TEXT);
	double[][] B = TestUtils.round(getRandomMatrix(rows, 1, 1, numGroups, 1.0, 3));
	writeInputMatrix("B", B, true);
	MatrixCharacteristics mc2 = new MatrixCharacteristics(rows,1,1000,1000);
	HDFSTool.writeMetaDataFile(input("B.mtd"), ValueType.FP64, mc2, FileFormat.TEXT);

	//run tests
	Class cla = (exceptionExpected ? DMLRuntimeException.class : null);
	runTest(true, exceptionExpected, cla, -1);

	//compare matrices
	if( !exceptionExpected ){
	//run R script for comparison
	runRScript(true);

	//compare output matrices
	HashMap<CellIndex, Double> dmlfile = readDMLMatrixFromHDFS("C");
	HashMap<CellIndex, Double> rfile = readRMatrixFromFS("C");
	TestUtils.compareMatrices(dmlfile, rfile, eps, "Stat-DML", "Stat-R");

	//check dml output meta data
	checkDMLMetaDataFile("C", new MatrixCharacteristics(numGroups,numCols,1,1));
	}
	}
	catch(IOException ex)
	{
	ex.printStackTrace();
	throw new RuntimeException(ex);
	}
	finally
	{
	rtplatform = platformOld;
	DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld;
	}
	}
	}