| /* |
| * 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.applications; |
| |
| import java.util.HashMap; |
| import java.util.HashSet; |
| import java.util.Map.Entry; |
| |
| 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.matrix.data.MatrixValue.CellIndex; |
| import org.apache.sysds.runtime.meta.MatrixCharacteristics; |
| import org.apache.sysds.test.AutomatedTestBase; |
| import org.apache.sysds.test.TestConfiguration; |
| import org.apache.sysds.test.TestUtils; |
| |
| /** |
| * |
| * |
| */ |
| public class ParForSampleTest extends AutomatedTestBase |
| { |
| private final static String TEST_NAME = "parfor_sample"; |
| private final static String TEST_DIR = "applications/parfor/"; |
| private final static String TEST_CLASS_DIR = TEST_DIR + ParForSampleTest.class.getSimpleName() + "/"; |
| |
| private final static int rows = 2298; |
| private final static int cols = 1123; |
| |
| private final static double sparsity1 = 0.73; |
| private final static double sparsity2 = 0.25; |
| |
| |
| @Override |
| public void setUp() { |
| TestUtils.clearAssertionInformation(); |
| addTestConfiguration(TEST_NAME, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME, new String[] {"B1","B2"}) ); |
| } |
| |
| @Test |
| public void testParForSampleDenseCP() { |
| runParForSampleTest(false, ExecType.CP); |
| } |
| |
| @Test |
| public void testParForSampleSparseCP() { |
| runParForSampleTest(true, ExecType.CP); |
| } |
| |
| @Test |
| public void testParForSampleDenseSpark() { |
| runParForSampleTest(false, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testParForSampleSparseSpark() { |
| runParForSampleTest(true, ExecType.SPARK); |
| } |
| |
| @SuppressWarnings({ "unchecked" }) |
| private void runParForSampleTest( boolean sparse, ExecType et ) |
| { |
| ExecMode platformOld = rtplatform; |
| switch( et ){ |
| 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 |
| { |
| //invocation arguments |
| TestConfiguration config = getTestConfiguration(TEST_NAME); |
| config.addVariable("rows", rows); |
| config.addVariable("cols", cols); |
| loadTestConfiguration(config); |
| |
| fullDMLScriptName = SCRIPT_DIR + TEST_DIR + TEST_NAME + ".dml"; |
| programArgs = new String[]{"-explain","-args", input("A"), "0.8 0.2", output("B")}; |
| |
| //generate input data + sequence in first column |
| double[][] A = getRandomMatrix(rows, cols, -1, 1, sparse?sparsity2:sparsity1, 7); |
| for( int i=0; i<A.length; i++ ) |
| A[i][0] = (i+1); |
| writeInputMatrixWithMTD("A", A, false); |
| |
| //run test case |
| runTest(true, false, null, -1); |
| |
| //read result data and meta data |
| HashMap<CellIndex, Double> B1 = readDMLMatrixFromHDFS("B1"); |
| HashMap<CellIndex, Double> B2 = readDMLMatrixFromHDFS("B2"); |
| MatrixCharacteristics B1mc = readDMLMetaDataFile("B1"); |
| MatrixCharacteristics B2mc = readDMLMetaDataFile("B2"); |
| |
| //compare meta data |
| Assert.assertEquals(new Long(rows), new Long(B1mc.getRows()+B2mc.getRows())); //join full coverage rows |
| Assert.assertEquals(new Long(cols), new Long(B1mc.getCols())); //full coverage cols |
| Assert.assertEquals(new Long(cols), new Long(B2mc.getCols())); //full coverage cols |
| Assert.assertNotEquals(new Long(rows), new Long(B1mc.getRows())); //no sample contains all rows |
| Assert.assertNotEquals(new Long(rows), new Long(B2mc.getRows())); //no sample contains all rows |
| |
| //compare data |
| HashSet<Integer> probe = new HashSet<>(rows); |
| for( int i=0; i<rows; i++ ) |
| probe.add(i+1); |
| for( HashMap<CellIndex, Double> B : new HashMap[]{ B1, B2 } ) |
| for( Entry<CellIndex,Double> e : B.entrySet() ) |
| if( e.getKey().column == 1 ) { |
| boolean flag = probe.remove(e.getValue().intValue()); |
| Assert.assertTrue("Wrong return value for "+e.getKey()+": "+e.getValue(), flag); |
| } |
| } |
| finally |
| { |
| rtplatform = platformOld; |
| DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld; |
| } |
| } |
| } |