| /* |
| * 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.ternary; |
| |
| 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.matrix.data.MatrixValue.CellIndex; |
| import org.apache.sysds.test.AutomatedTestBase; |
| import org.apache.sysds.test.TestConfiguration; |
| import org.apache.sysds.test.TestUtils; |
| |
| public class TableOutputTest extends AutomatedTestBase |
| { |
| |
| private final static String TEST_NAME = "TableOutputTest"; |
| |
| private final static String TEST_DIR = "functions/ternary/"; |
| private final static String TEST_CLASS_DIR = TEST_DIR + TableOutputTest.class.getSimpleName() + "/"; |
| |
| private final static int rows = 50000; |
| private final static int maxVal1 = 7, maxVal2 = 15; |
| |
| |
| @Override |
| public void setUp() |
| { |
| addTestConfiguration(TEST_NAME, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME, new String[] { "F" }) ); |
| } |
| |
| @Test |
| public void testTableOutputSP1() |
| { |
| runTableOutputTest(ExecType.SPARK, 0); |
| } |
| |
| @Test |
| public void testTableOutputSP2() |
| { |
| runTableOutputTest(ExecType.SPARK, 5); |
| } |
| |
| @Test |
| public void testTableOutputSP3() |
| { |
| runTableOutputTest(ExecType.SPARK, -5); |
| } |
| |
| |
| @Test |
| public void testTableOutputCP1() |
| { |
| runTableOutputTest(ExecType.CP, 0); |
| } |
| |
| @Test |
| public void testTableOutputCP2() |
| { |
| runTableOutputTest(ExecType.CP, 5); |
| } |
| |
| @Test |
| public void testTableOutputCP3() |
| { |
| runTableOutputTest(ExecType.CP, -5); |
| } |
| |
| private void runTableOutputTest( ExecType et, int delta) |
| { |
| //rtplatform for MR |
| 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 |
| { |
| TestConfiguration config = getTestConfiguration(TEST_NAME); |
| loadTestConfiguration(config); |
| |
| int dim1 = maxVal1 + delta; |
| int dim2 = maxVal2 + delta; |
| |
| /* 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"), |
| Integer.toString(dim1), Integer.toString(dim2), output("F")}; |
| |
| fullRScriptName = HOME + TEST_NAME + ".R"; |
| rCmd = "Rscript" + " " + fullRScriptName + " " + inputDir() + " " + expectedDir(); |
| |
| //generate actual dataset (always dense because values <=0 invalid) |
| double[][] A = TestUtils.floor(getRandomMatrix(rows, 1, 1, maxVal1, 1.0, -1)); |
| writeInputMatrixWithMTD("A", A, true); |
| double[][] B = TestUtils.floor(getRandomMatrix(rows, 1, 1, maxVal2, 1.0, -1)); |
| writeInputMatrixWithMTD("B", B, true); |
| |
| runTest(true, false, null, -1); |
| runRScript(true); |
| |
| //compare matrices |
| HashMap<CellIndex, Double> dmlfile = readDMLMatrixFromOutputDir("F"); |
| HashMap<CellIndex, Double> rfile = readRMatrixFromExpectedDir("F"); |
| |
| CellIndex tmp = new CellIndex(-1, -1); |
| double dmlVal, rVal; |
| int numErrors = 0; |
| |
| try { |
| for(int i=1; i<=Math.min(dim1, maxVal1); i++) { |
| for(int j=1; j<=Math.min(dim2, maxVal2); j++) { |
| tmp.set(i, j); |
| dmlVal = ( dmlfile.get(tmp) == null ? 0 : dmlfile.get(tmp) ); |
| rVal = ( rfile.get(tmp) == null ? 0 : rfile.get(tmp) ); |
| if ( dmlVal != rVal ) { |
| System.err.println(" (" + i+","+j+ ") " + dmlVal + " != " + rVal); |
| numErrors++; |
| } |
| } |
| } |
| } catch(Exception e) { |
| e.printStackTrace(); |
| } |
| Assert.assertEquals(0, numErrors); |
| |
| numErrors = 0; |
| if ( delta > 0 ) { |
| // check for correct padding in dmlfile |
| for(int i=1; i<= delta; i++) { |
| for(int j=1; j<=delta; j++) { |
| tmp.set(maxVal1+i, maxVal2+j); |
| dmlVal = ( dmlfile.get(tmp) == null ? 0 : dmlfile.get(tmp) ); |
| if(dmlVal != 0) { |
| System.err.println(" Padding: (" + i+","+j+ ") " + dmlVal + " != 0"); |
| numErrors++; |
| } |
| } |
| } |
| } |
| Assert.assertEquals(0, numErrors); |
| } |
| finally |
| { |
| rtplatform = platformOld; |
| DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld; |
| } |
| } |
| } |