| /* |
| * 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.ArrayList; |
| import java.util.Arrays; |
| import java.util.Collection; |
| import java.util.HashMap; |
| import java.util.Iterator; |
| import java.util.List; |
| import java.util.Map; |
| |
| import org.junit.Test; |
| import org.junit.runner.RunWith; |
| import org.junit.runners.Parameterized; |
| import org.junit.runners.Parameterized.Parameters; |
| import org.apache.sysds.runtime.matrix.data.MatrixValue.CellIndex; |
| import org.apache.sysds.test.AutomatedTestBase; |
| |
| @RunWith(value = Parameterized.class) |
| @net.jcip.annotations.NotThreadSafe |
| public class ApplyTransformTest extends AutomatedTestBase{ |
| |
| protected final static String TEST_DIR = "applications/apply-transform/"; |
| protected final static String TEST_NAME = "apply-transform"; |
| protected String TEST_CLASS_DIR = TEST_DIR + ApplyTransformTest.class.getSimpleName() + "/"; |
| |
| protected String X, missing_value_maps, binning_maps, dummy_coding_maps, normalization_maps; |
| |
| public ApplyTransformTest(String X, String missing_value_maps, String binning_maps, |
| String dummy_coding_maps, String normalization_maps) |
| { |
| this.X = X; |
| this.missing_value_maps = missing_value_maps; |
| this.binning_maps = binning_maps; |
| this.dummy_coding_maps = dummy_coding_maps; |
| this.normalization_maps = normalization_maps; |
| } |
| |
| @Parameters |
| public static Collection<Object[]> data() { |
| Object[][] data = new Object[][] { |
| {"newX.mtx", "missing_value_map.mtx", "bindefns.mtx", "dummy_code_maps.mtx", "normalization_maps.mtx"}, |
| {"newX.mtx", "missing_value_map.mtx", " ", " ", " "}, |
| {"newX.mtx", "missing_value_map.mtx", " ", " ", "normalization_maps.mtx"}, |
| {"newX.mtx", "missing_value_map.mtx", "bindefns.mtx", " ", "normalization_maps.mtx"}, |
| {"newX_nomissing.mtx", " ", "bindefns.mtx", " ", " "}, |
| {"newX_nomissing.mtx", " ", "bindefns.mtx", "dummy_code_maps.mtx", " "}, |
| {"newX_nomissing.mtx", " ", " ", " ", "normalization_maps.mtx"} |
| }; |
| return Arrays.asList(data); |
| } |
| |
| @Override |
| public void setUp() { |
| addTestConfiguration(TEST_CLASS_DIR, TEST_NAME); |
| } |
| |
| @Test |
| public void testApplyTransform() { |
| System.out.println("------------ BEGIN " + TEST_NAME + " TEST WITH {" + X + ", " + missing_value_maps |
| + ", " + binning_maps + ", " + dummy_coding_maps + ", " + normalization_maps + "} ------------"); |
| |
| getAndLoadTestConfiguration(TEST_NAME); |
| |
| List<String> proArgs = new ArrayList<>(); |
| proArgs.add("-nvargs"); |
| proArgs.add("X=" + sourceDirectory + X); |
| proArgs.add("missing_value_maps=" + (missing_value_maps.equals(" ") ? " " : sourceDirectory + missing_value_maps)); |
| proArgs.add("bin_defns=" + (binning_maps.equals(" ") ? " " : sourceDirectory + binning_maps)); |
| proArgs.add("dummy_code_maps=" + (dummy_coding_maps.equals(" ") ? " " : sourceDirectory + dummy_coding_maps)); |
| proArgs.add("normalization_maps=" + (normalization_maps.equals(" ") ? " " : sourceDirectory + normalization_maps)); |
| proArgs.add("transformed_X=" + output("transformed_X.mtx")); |
| proArgs.add("Log=" + output("log.csv")); |
| programArgs = proArgs.toArray(new String[proArgs.size()]); |
| |
| fullDMLScriptName = getScript(); |
| |
| runTest(true, EXCEPTION_NOT_EXPECTED, null, -1); |
| |
| HashMap<CellIndex, Double> XDML= readDMLMatrixFromHDFS("transformed_X.mtx"); |
| |
| Iterator<Map.Entry<CellIndex, Double>> iter = XDML.entrySet().iterator(); |
| while(iter.hasNext()){ |
| Map.Entry<CellIndex, Double> elt = iter.next(); |
| int row = elt.getKey().row; |
| int col = elt.getKey().column; |
| double val = elt.getValue(); |
| |
| System.out.println("[" + row + "," + col + "]->" + val); |
| } |
| |
| boolean success = true; |
| |
| if(missing_value_maps != " " && normalization_maps != " "){ |
| CellIndex cell; |
| if(dummy_coding_maps != " ") cell = new CellIndex(3,3); |
| else cell = new CellIndex(3,2); |
| |
| if(XDML.containsKey(cell)){ |
| double val = XDML.get(cell).doubleValue(); |
| success = success && (Math.abs(val) < 0.0000001); |
| } |
| }else if(missing_value_maps != " "){ |
| CellIndex cell; |
| if(dummy_coding_maps != " ") cell = new CellIndex(3,3); |
| else cell = new CellIndex(3,2); |
| |
| if(XDML.containsKey(cell)){ |
| double val = XDML.get(cell).doubleValue(); |
| success = success && (Math.abs(-0.2/3 - val) < 0.0000001); |
| }else success = false; |
| }else if(normalization_maps != " "){ |
| CellIndex cell; |
| if(dummy_coding_maps != " ") cell = new CellIndex(3,3); |
| else cell = new CellIndex(3,2); |
| |
| if(XDML.containsKey(cell)){ |
| double val = XDML.get(cell).doubleValue(); |
| success = success && (Math.abs(0.2/3 - val) < 0.0000001); |
| }else success = false; |
| }else{ |
| CellIndex cell; |
| if(dummy_coding_maps != " ") cell = new CellIndex(3,3); |
| else cell = new CellIndex(3,2); |
| |
| if(XDML.containsKey(cell)){ |
| double val = XDML.get(cell).doubleValue(); |
| success = success && (Math.abs(val) < 0.0000001); |
| } |
| } |
| |
| if(binning_maps != " "){ |
| CellIndex cell1, cell2, cell3, cell4; |
| if(dummy_coding_maps != " "){ |
| cell1 = new CellIndex(1,1); |
| cell2 = new CellIndex(2,1); |
| cell3 = new CellIndex(3,2); |
| cell4 = new CellIndex(4,2); |
| }else{ |
| cell1 = new CellIndex(1,1); |
| cell2 = new CellIndex(2,1); |
| cell3 = new CellIndex(3,1); |
| cell4 = new CellIndex(4,1); |
| } |
| if(!XDML.containsKey(cell1)) success = false; |
| else success = success && (XDML.get(cell1).doubleValue() == 1); |
| |
| if(!XDML.containsKey(cell2)) success = false; |
| else success = success && (XDML.get(cell2).doubleValue() == 1); |
| |
| if(!XDML.containsKey(cell3)) success = false; |
| else success = success && (dummy_coding_maps != " ") ? (XDML.get(cell3).doubleValue() == 1) : (XDML.get(cell3).doubleValue() == 2); |
| |
| if(!XDML.containsKey(cell4)) success = false; |
| else success = success && (dummy_coding_maps != " ") ? (XDML.get(cell4).doubleValue() == 1) : (XDML.get(cell4).doubleValue() == 2); |
| } |
| } |
| } |