| /* |
| * 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.data.misc; |
| |
| import java.io.IOException; |
| |
| import org.junit.Assert; |
| import org.junit.Test; |
| import org.apache.sysds.common.Types.ExecMode; |
| import org.apache.sysds.common.Types.FileFormat; |
| import org.apache.sysds.conf.ConfigurationManager; |
| import org.apache.sysds.runtime.io.MatrixReader; |
| import org.apache.sysds.runtime.io.MatrixReaderFactory; |
| import org.apache.sysds.runtime.io.MatrixWriter; |
| import org.apache.sysds.runtime.io.MatrixWriterFactory; |
| import org.apache.sysds.runtime.matrix.data.MatrixBlock; |
| import org.apache.sysds.runtime.util.DataConverter; |
| 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 NoRenameTest extends AutomatedTestBase |
| { |
| private final static String TEST_NAME1 = "NoRenameTest1"; |
| private final static String TEST_NAME2 = "NoRenameTest2"; |
| private final static String TEST_DIR = "functions/data/"; |
| private final static String TEST_CLASS_DIR = TEST_DIR + NoRenameTest.class.getSimpleName() + "/"; |
| |
| private final static int rows = 100; |
| private final static int cols = 50; |
| private final static int blocksize = ConfigurationManager.getBlocksize(); |
| private final static double sparsity1 = 0.7; |
| private final static double sparsity2 = 0.3; |
| |
| @Override |
| public void setUp() { |
| TestUtils.clearAssertionInformation(); |
| 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" }) ); |
| } |
| |
| @Test |
| public void testTextcellDenseSinglenode() { |
| runRenameTest("text", false, ExecMode.SINGLE_NODE); |
| } |
| |
| @Test |
| public void testTextcellSparseSinglenode() { |
| runRenameTest("text", true, ExecMode.SINGLE_NODE); |
| } |
| |
| @Test |
| public void testTextcsvDenseSinglenode() { |
| runRenameTest("csv", false, ExecMode.SINGLE_NODE); |
| } |
| |
| @Test |
| public void testTextcsvSparseSinglenode() { |
| runRenameTest("csv", true, ExecMode.SINGLE_NODE); |
| } |
| |
| @Test |
| public void testTextmmDenseSinglenode() { |
| runRenameTest("mm", false, ExecMode.SINGLE_NODE); |
| } |
| |
| @Test |
| public void testTextmmSparseSinglenode() { |
| runRenameTest("mm", true, ExecMode.SINGLE_NODE); |
| } |
| |
| @Test |
| public void testTextlibsvmDenseSinglenode() { |
| runRenameTest("libsvm", false, ExecMode.SINGLE_NODE); |
| } |
| |
| @Test |
| public void testTextlibsvmSparseSinglenode() { |
| runRenameTest("libsvm", true, ExecMode.SINGLE_NODE); |
| } |
| |
| @Test |
| public void testBinaryDenseSinglenode() { |
| runRenameTest("binary", false, ExecMode.SINGLE_NODE); |
| } |
| |
| @Test |
| public void testBinarySparseSinglenode() { |
| runRenameTest("binary", true, ExecMode.SINGLE_NODE); |
| } |
| |
| @Test |
| public void testTextcellDenseHybrid() { |
| runRenameTest("text", false, ExecMode.HYBRID); |
| } |
| |
| @Test |
| public void testTextcellSparseHybrid() { |
| runRenameTest("text", true, ExecMode.HYBRID); |
| } |
| |
| @Test |
| public void testTextcsvDenseHybrid() { |
| runRenameTest("csv", false, ExecMode.HYBRID); |
| } |
| |
| @Test |
| public void testTextcsvSparseHybrid() { |
| runRenameTest("csv", true, ExecMode.HYBRID); |
| } |
| |
| @Test |
| public void testTextmmDenseHybrid() { |
| runRenameTest("mm", false, ExecMode.HYBRID); |
| } |
| |
| @Test |
| public void testTextmmSparseHybrid() { |
| runRenameTest("mm", true, ExecMode.HYBRID); |
| } |
| |
| @Test |
| public void testTextlibsvmDenseHybrid() { |
| runRenameTest("libsvm", false, ExecMode.HYBRID); |
| } |
| |
| @Test |
| public void testTextlibsvmSparseHybrid() { |
| runRenameTest("libsvm", true, ExecMode.HYBRID); |
| } |
| |
| @Test |
| public void testBinaryDenseHybrid() { |
| runRenameTest("binary", false, ExecMode.HYBRID); |
| } |
| |
| @Test |
| public void testBinarySparseHybrid() { |
| runRenameTest("binary", true, ExecMode.HYBRID); |
| } |
| |
| @Test |
| public void testTextcellDenseSpark() { |
| runRenameTest("text", false, ExecMode.SPARK); |
| } |
| |
| @Test |
| public void testTextcellSparseSpark() { |
| runRenameTest("text", true, ExecMode.SPARK); |
| } |
| |
| @Test |
| public void testTextcsvDenseSpark() { |
| runRenameTest("csv", false, ExecMode.SPARK); |
| } |
| |
| @Test |
| public void testTextcsvSparseSpark() { |
| runRenameTest("csv", true, ExecMode.SPARK); |
| } |
| |
| @Test |
| public void testTextmmDenseSpark() { |
| runRenameTest("mm", false, ExecMode.SPARK); |
| } |
| |
| @Test |
| public void testTextmmSparseSpark() { |
| runRenameTest("mm", true, ExecMode.SPARK); |
| } |
| |
| // @Test |
| // public void testTextlibsvmDenseSpark() { |
| // runRenameTest("libsvm", false, ExecMode.SPARK); |
| // } |
| // |
| // @Test |
| // public void testTextlibsvmSparseSpark() { |
| // runRenameTest("libsvm", true, ExecMode.SPARK); |
| // } |
| // |
| @Test |
| public void testBinaryDenseSpark() { |
| runRenameTest("binary", false, ExecMode.SPARK); |
| } |
| |
| @Test |
| public void testBinarySparseSpark() { |
| runRenameTest("binary", true, ExecMode.SPARK); |
| } |
| |
| private void runRenameTest(String fmt, boolean sparse, ExecMode et) |
| { |
| ExecMode platformOld = setExecMode(et); |
| double sparsity = (sparse) ? sparsity2 : sparsity1; |
| |
| String TEST_NAME = fmt.equals("binary") ? TEST_NAME2 : TEST_NAME1; |
| TestConfiguration config = getTestConfiguration(TEST_NAME); |
| config.addVariable("rows", rows); |
| config.addVariable("cols", cols); |
| loadTestConfiguration(config); |
| |
| String HOME = SCRIPT_DIR + TEST_DIR; |
| fullDMLScriptName = HOME + TEST_NAME + ".dml"; |
| programArgs = new String[]{"-explain","-args", input("A"), fmt, |
| String.valueOf(rows), String.valueOf(cols), output("C")}; |
| |
| try { |
| //write input |
| double[][] A = getRandomMatrix(rows, cols, 0, 1, sparsity, 7); |
| MatrixBlock mbA = DataConverter.convertToMatrixBlock(A); |
| MatrixWriter writer = MatrixWriterFactory.createMatrixWriter(FileFormat.safeValueOf(fmt)); |
| writer.writeMatrixToHDFS(mbA, input("A"), rows, cols, blocksize, mbA.getNonZeros()); |
| |
| //execute test |
| runTest(true, false, null, -1); |
| MatrixReader reader = MatrixReaderFactory.createMatrixReader(FileFormat.safeValueOf(fmt)); |
| MatrixBlock mbC = reader.readMatrixFromHDFS(output("C"), rows, cols, blocksize, -1); |
| double[][] C = DataConverter.convertToDoubleMatrix(mbC); |
| |
| //compare matrices and check valid input |
| TestUtils.compareMatrices(A, C, rows, cols, 1e-10); |
| Assert.assertTrue(HDFSTool.existsFileOnHDFS(input("A"))); |
| } |
| catch(IOException e) { |
| e.printStackTrace(); |
| throw new RuntimeException(e); |
| } |
| finally { |
| rtplatform = platformOld; |
| } |
| } |
| } |