| /* |
| * 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.binary.matrix_full_cellwise; |
| |
| import java.util.HashMap; |
| |
| import org.junit.AfterClass; |
| import org.junit.BeforeClass; |
| 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 FullMatrixMatrixCellwiseOperationTest extends AutomatedTestBase |
| { |
| private final static String TEST_NAME1 = "FullMatrixCellwiseOperation_Addition"; |
| private final static String TEST_NAME2 = "FullMatrixCellwiseOperation_Substraction"; |
| private final static String TEST_NAME3 = "FullMatrixCellwiseOperation_Multiplication"; |
| private final static String TEST_NAME4 = "FullMatrixCellwiseOperation_Division"; |
| |
| private final static String TEST_DIR = "functions/binary/matrix_full_cellwise/"; |
| private final static String TEST_CLASS_DIR = TEST_DIR + FullMatrixMatrixCellwiseOperationTest.class.getSimpleName() + "/"; |
| private final static double eps = 1e-10; |
| |
| private final static int rows = 1010; |
| private final static int cols = 300; |
| private final static double sparsity1 = 0.7; |
| private final static double sparsity2 = 0.1; |
| |
| private enum OpType{ |
| ADDITION, |
| SUBTRACTION, |
| MULTIPLICATION, |
| DIVISION |
| } |
| |
| private enum SparsityType{ |
| DENSE, |
| SPARSE, |
| EMPTY |
| } |
| |
| @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"})); |
| addTestConfiguration(TEST_NAME3,new TestConfiguration(TEST_CLASS_DIR, TEST_NAME3,new String[]{"C"})); |
| addTestConfiguration(TEST_NAME4,new TestConfiguration(TEST_CLASS_DIR, TEST_NAME4,new String[]{"C"})); |
| |
| 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); |
| } |
| } |
| |
| // ---------------- |
| |
| @Test |
| public void testAdditionDenseDenseSP() { |
| runMatrixCellwiseOperationTest(OpType.ADDITION, SparsityType.DENSE, SparsityType.DENSE, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testAdditionDenseSparseSP() { |
| runMatrixCellwiseOperationTest(OpType.ADDITION, SparsityType.DENSE, SparsityType.SPARSE, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testAdditionDenseEmptySP() { |
| runMatrixCellwiseOperationTest(OpType.ADDITION, SparsityType.DENSE, SparsityType.EMPTY, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testAdditionSparseDenseSP() { |
| runMatrixCellwiseOperationTest(OpType.ADDITION, SparsityType.SPARSE, SparsityType.DENSE, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testAdditionSparseSparseSP() { |
| runMatrixCellwiseOperationTest(OpType.ADDITION, SparsityType.SPARSE, SparsityType.SPARSE, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testAdditionSparseEmptySP() { |
| runMatrixCellwiseOperationTest(OpType.ADDITION, SparsityType.SPARSE, SparsityType.EMPTY, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testAdditionEmptyDenseSP() { |
| runMatrixCellwiseOperationTest(OpType.ADDITION, SparsityType.EMPTY, SparsityType.DENSE, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testAdditionEmptySparseSP() { |
| runMatrixCellwiseOperationTest(OpType.ADDITION, SparsityType.EMPTY, SparsityType.SPARSE, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testAdditionEmptyEmptySP() { |
| runMatrixCellwiseOperationTest(OpType.ADDITION, SparsityType.EMPTY, SparsityType.EMPTY, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testSubtractionDenseDenseSP() { |
| runMatrixCellwiseOperationTest(OpType.SUBTRACTION, SparsityType.DENSE, SparsityType.DENSE, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testSubtractionDenseSparseSP() { |
| runMatrixCellwiseOperationTest(OpType.SUBTRACTION, SparsityType.DENSE, SparsityType.SPARSE, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testSubtractionDenseEmptySP() { |
| runMatrixCellwiseOperationTest(OpType.SUBTRACTION, SparsityType.DENSE, SparsityType.EMPTY, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testSubtractionSparseDenseSP() { |
| runMatrixCellwiseOperationTest(OpType.SUBTRACTION, SparsityType.SPARSE, SparsityType.DENSE, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testSubtractionSparseSparseSP() { |
| runMatrixCellwiseOperationTest(OpType.SUBTRACTION, SparsityType.SPARSE, SparsityType.SPARSE, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testSubtractionSparseEmptySP() { |
| runMatrixCellwiseOperationTest(OpType.SUBTRACTION, SparsityType.SPARSE, SparsityType.EMPTY, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testSubtractionEmptyDenseSP() { |
| runMatrixCellwiseOperationTest(OpType.SUBTRACTION, SparsityType.EMPTY, SparsityType.DENSE, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testSubtractionEmptySparseSP() { |
| runMatrixCellwiseOperationTest(OpType.SUBTRACTION, SparsityType.EMPTY, SparsityType.SPARSE, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testSubtractionEmptyEmptySP() { |
| runMatrixCellwiseOperationTest(OpType.SUBTRACTION, SparsityType.EMPTY, SparsityType.EMPTY, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testMultiplicationDenseDenseSP() { |
| runMatrixCellwiseOperationTest(OpType.MULTIPLICATION, SparsityType.DENSE, SparsityType.DENSE, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testMultiplicationDenseSparseSP() { |
| runMatrixCellwiseOperationTest(OpType.MULTIPLICATION, SparsityType.DENSE, SparsityType.SPARSE, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testMultiplicationDenseEmptySP() { |
| runMatrixCellwiseOperationTest(OpType.MULTIPLICATION, SparsityType.DENSE, SparsityType.EMPTY, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testMultiplicationSparseDenseSP() { |
| runMatrixCellwiseOperationTest(OpType.MULTIPLICATION, SparsityType.SPARSE, SparsityType.DENSE, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testMultiplicationSparseSparseSP() { |
| runMatrixCellwiseOperationTest(OpType.MULTIPLICATION, SparsityType.SPARSE, SparsityType.SPARSE, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testMultiplicationSparseEmptySP() { |
| runMatrixCellwiseOperationTest(OpType.MULTIPLICATION, SparsityType.SPARSE, SparsityType.EMPTY, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testMultiplicationEmptyDenseSP() { |
| runMatrixCellwiseOperationTest(OpType.MULTIPLICATION, SparsityType.EMPTY, SparsityType.DENSE, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testMultiplicationEmptySparseSP() { |
| runMatrixCellwiseOperationTest(OpType.MULTIPLICATION, SparsityType.EMPTY, SparsityType.SPARSE, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testMultiplicationEmptyEmptySP() { |
| runMatrixCellwiseOperationTest(OpType.MULTIPLICATION, SparsityType.EMPTY, SparsityType.EMPTY, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testDivisionDenseDenseSP() { |
| runMatrixCellwiseOperationTest(OpType.DIVISION, SparsityType.DENSE, SparsityType.DENSE, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testDivisionDenseSparseSP() { |
| runMatrixCellwiseOperationTest(OpType.DIVISION, SparsityType.DENSE, SparsityType.SPARSE, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testDivisionDenseEmptySP() { |
| runMatrixCellwiseOperationTest(OpType.DIVISION, SparsityType.DENSE, SparsityType.EMPTY, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testDivisionSparseDenseSP() { |
| runMatrixCellwiseOperationTest(OpType.DIVISION, SparsityType.SPARSE, SparsityType.DENSE, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testDivisionSparseSparseSP() { |
| runMatrixCellwiseOperationTest(OpType.DIVISION, SparsityType.SPARSE, SparsityType.SPARSE, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testDivisionSparseEmptySP() { |
| runMatrixCellwiseOperationTest(OpType.DIVISION, SparsityType.SPARSE, SparsityType.EMPTY, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testDivisionEmptyDenseSP() { |
| runMatrixCellwiseOperationTest(OpType.DIVISION, SparsityType.EMPTY, SparsityType.DENSE, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testDivisionEmptySparseSP() { |
| runMatrixCellwiseOperationTest(OpType.DIVISION, SparsityType.EMPTY, SparsityType.SPARSE, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testDivisionEmptyEmptySP() { |
| runMatrixCellwiseOperationTest(OpType.DIVISION, SparsityType.EMPTY, SparsityType.EMPTY, ExecType.SPARK); |
| } |
| |
| // ---------------- |
| |
| @Test |
| public void testAdditionDenseDenseCP() { |
| runMatrixCellwiseOperationTest(OpType.ADDITION, SparsityType.DENSE, SparsityType.DENSE, ExecType.CP); |
| } |
| |
| @Test |
| public void testAdditionDenseSparseCP() { |
| runMatrixCellwiseOperationTest(OpType.ADDITION, SparsityType.DENSE, SparsityType.SPARSE, ExecType.CP); |
| } |
| |
| @Test |
| public void testAdditionDenseEmptyCP() { |
| runMatrixCellwiseOperationTest(OpType.ADDITION, SparsityType.DENSE, SparsityType.EMPTY, ExecType.CP); |
| } |
| |
| @Test |
| public void testAdditionSparseDenseCP() { |
| runMatrixCellwiseOperationTest(OpType.ADDITION, SparsityType.SPARSE, SparsityType.DENSE, ExecType.CP); |
| } |
| |
| @Test |
| public void testAdditionSparseSparseCP() { |
| runMatrixCellwiseOperationTest(OpType.ADDITION, SparsityType.SPARSE, SparsityType.SPARSE, ExecType.CP); |
| } |
| |
| @Test |
| public void testAdditionSparseEmptyCP() { |
| runMatrixCellwiseOperationTest(OpType.ADDITION, SparsityType.SPARSE, SparsityType.EMPTY, ExecType.CP); |
| } |
| |
| @Test |
| public void testAdditionEmptyDenseCP() { |
| runMatrixCellwiseOperationTest(OpType.ADDITION, SparsityType.EMPTY, SparsityType.DENSE, ExecType.CP); |
| } |
| |
| @Test |
| public void testAdditionEmptySparseCP() { |
| runMatrixCellwiseOperationTest(OpType.ADDITION, SparsityType.EMPTY, SparsityType.SPARSE, ExecType.CP); |
| } |
| |
| @Test |
| public void testAdditionEmptyEmptyCP() { |
| runMatrixCellwiseOperationTest(OpType.ADDITION, SparsityType.EMPTY, SparsityType.EMPTY, ExecType.CP); |
| } |
| |
| @Test |
| public void testSubtractionDenseDenseCP() { |
| runMatrixCellwiseOperationTest(OpType.SUBTRACTION, SparsityType.DENSE, SparsityType.DENSE, ExecType.CP); |
| } |
| |
| @Test |
| public void testSubtractionDenseSparseCP() { |
| runMatrixCellwiseOperationTest(OpType.SUBTRACTION, SparsityType.DENSE, SparsityType.SPARSE, ExecType.CP); |
| } |
| |
| @Test |
| public void testSubtractionDenseEmptyCP() { |
| runMatrixCellwiseOperationTest(OpType.SUBTRACTION, SparsityType.DENSE, SparsityType.EMPTY, ExecType.CP); |
| } |
| |
| @Test |
| public void testSubtractionSparseDenseCP() { |
| runMatrixCellwiseOperationTest(OpType.SUBTRACTION, SparsityType.SPARSE, SparsityType.DENSE, ExecType.CP); |
| } |
| |
| @Test |
| public void testSubtractionSparseSparseCP() { |
| runMatrixCellwiseOperationTest(OpType.SUBTRACTION, SparsityType.SPARSE, SparsityType.SPARSE, ExecType.CP); |
| } |
| |
| @Test |
| public void testSubtractionSparseEmptyCP() { |
| runMatrixCellwiseOperationTest(OpType.SUBTRACTION, SparsityType.SPARSE, SparsityType.EMPTY, ExecType.CP); |
| } |
| |
| @Test |
| public void testSubtractionEmptyDenseCP() { |
| runMatrixCellwiseOperationTest(OpType.SUBTRACTION, SparsityType.EMPTY, SparsityType.DENSE, ExecType.CP); |
| } |
| |
| @Test |
| public void testSubtractionEmptySparseCP() { |
| runMatrixCellwiseOperationTest(OpType.SUBTRACTION, SparsityType.EMPTY, SparsityType.SPARSE, ExecType.CP); |
| } |
| |
| @Test |
| public void testSubtractionEmptyEmptyCP() { |
| runMatrixCellwiseOperationTest(OpType.SUBTRACTION, SparsityType.EMPTY, SparsityType.EMPTY, ExecType.CP); |
| } |
| |
| @Test |
| public void testMultiplicationDenseDenseCP() { |
| runMatrixCellwiseOperationTest(OpType.MULTIPLICATION, SparsityType.DENSE, SparsityType.DENSE, ExecType.CP); |
| } |
| |
| @Test |
| public void testMultiplicationDenseSparseCP() { |
| runMatrixCellwiseOperationTest(OpType.MULTIPLICATION, SparsityType.DENSE, SparsityType.SPARSE, ExecType.CP); |
| } |
| |
| @Test |
| public void testMultiplicationDenseEmptyCP() { |
| runMatrixCellwiseOperationTest(OpType.MULTIPLICATION, SparsityType.DENSE, SparsityType.EMPTY, ExecType.CP); |
| } |
| |
| @Test |
| public void testMultiplicationSparseDenseCP() { |
| runMatrixCellwiseOperationTest(OpType.MULTIPLICATION, SparsityType.SPARSE, SparsityType.DENSE, ExecType.CP); |
| } |
| |
| @Test |
| public void testMultiplicationSparseSparseCP() { |
| runMatrixCellwiseOperationTest(OpType.MULTIPLICATION, SparsityType.SPARSE, SparsityType.SPARSE, ExecType.CP); |
| } |
| |
| @Test |
| public void testMultiplicationSparseEmptyCP() { |
| runMatrixCellwiseOperationTest(OpType.MULTIPLICATION, SparsityType.SPARSE, SparsityType.EMPTY, ExecType.CP); |
| } |
| |
| @Test |
| public void testMultiplicationEmptyDenseCP() { |
| runMatrixCellwiseOperationTest(OpType.MULTIPLICATION, SparsityType.EMPTY, SparsityType.DENSE, ExecType.CP); |
| } |
| |
| @Test |
| public void testMultiplicationEmptySparseCP() { |
| runMatrixCellwiseOperationTest(OpType.MULTIPLICATION, SparsityType.EMPTY, SparsityType.SPARSE, ExecType.CP); |
| } |
| |
| @Test |
| public void testMultiplicationEmptyEmptyCP() { |
| runMatrixCellwiseOperationTest(OpType.MULTIPLICATION, SparsityType.EMPTY, SparsityType.EMPTY, ExecType.CP); |
| } |
| |
| @Test |
| public void testDivisionDenseDenseCP() { |
| runMatrixCellwiseOperationTest(OpType.DIVISION, SparsityType.DENSE, SparsityType.DENSE, ExecType.CP); |
| } |
| |
| @Test |
| public void testDivisionDenseSparseCP() { |
| runMatrixCellwiseOperationTest(OpType.DIVISION, SparsityType.DENSE, SparsityType.SPARSE, ExecType.CP); |
| } |
| |
| @Test |
| public void testDivisionDenseEmptyCP() { |
| runMatrixCellwiseOperationTest(OpType.DIVISION, SparsityType.DENSE, SparsityType.EMPTY, ExecType.CP); |
| } |
| |
| @Test |
| public void testDivisionSparseDenseCP() { |
| runMatrixCellwiseOperationTest(OpType.DIVISION, SparsityType.SPARSE, SparsityType.DENSE, ExecType.CP); |
| } |
| |
| @Test |
| public void testDivisionSparseSparseCP() { |
| runMatrixCellwiseOperationTest(OpType.DIVISION, SparsityType.SPARSE, SparsityType.SPARSE, ExecType.CP); |
| } |
| |
| @Test |
| public void testDivisionSparseEmptyCP() { |
| runMatrixCellwiseOperationTest(OpType.DIVISION, SparsityType.SPARSE, SparsityType.EMPTY, ExecType.CP); |
| } |
| |
| @Test |
| public void testDivisionEmptyDenseCP() { |
| runMatrixCellwiseOperationTest(OpType.DIVISION, SparsityType.EMPTY, SparsityType.DENSE, ExecType.CP); |
| } |
| |
| @Test |
| public void testDivisionEmptySparseCP() { |
| runMatrixCellwiseOperationTest(OpType.DIVISION, SparsityType.EMPTY, SparsityType.SPARSE, ExecType.CP); |
| } |
| |
| @Test |
| public void testDivisionEmptyEmptyCP() { |
| runMatrixCellwiseOperationTest(OpType.DIVISION, SparsityType.EMPTY, SparsityType.EMPTY, ExecType.CP); |
| } |
| |
| |
| private void runMatrixCellwiseOperationTest( OpType type, SparsityType sparseM1, SparsityType sparseM2, ExecType instType) |
| { |
| //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 |
| { |
| String TEST_NAME = null; |
| switch( type ) |
| { |
| case ADDITION: TEST_NAME = TEST_NAME1; break; |
| case SUBTRACTION: TEST_NAME = TEST_NAME2; break; |
| case MULTIPLICATION: TEST_NAME = TEST_NAME3; break; |
| case DIVISION: TEST_NAME = TEST_NAME4; break; |
| } |
| |
| TestConfiguration config = getTestConfiguration(TEST_NAME); |
| |
| //get sparsity |
| double lsparsity1 = 1.0, lsparsity2 = 1.0; |
| switch( sparseM1 ){ |
| case DENSE: lsparsity1 = sparsity1; break; |
| case SPARSE: lsparsity1 = sparsity2; break; |
| case EMPTY: lsparsity1 = 0.0; break; |
| } |
| switch( sparseM2 ){ |
| case DENSE: lsparsity2 = sparsity1; break; |
| case SPARSE: lsparsity2 = sparsity2; break; |
| case EMPTY: lsparsity2 = 0.0; break; |
| } |
| |
| String TEST_CACHE_DIR = ""; |
| if (TEST_CACHE_ENABLED && (type != OpType.DIVISION)) |
| { |
| TEST_CACHE_DIR = type.ordinal() + "_" + lsparsity1 + "_" + lsparsity2 + "/"; |
| } |
| |
| 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[]{"-args", |
| input("A"), Integer.toString(rows), Integer.toString(cols), |
| input("B"), Integer.toString(rows), Integer.toString(cols), |
| output("C") }; |
| |
| fullRScriptName = HOME + TEST_NAME + ".R"; |
| rCmd = "Rscript" + " " + fullRScriptName + " " + inputDir() + " " + expectedDir(); |
| |
| //generate actual dataset |
| double[][] A = getRandomMatrix(rows, cols, 0, (lsparsity1==0)?0:1, lsparsity1, 7); |
| writeInputMatrix("A", A, true); |
| double[][] B = getRandomMatrix(rows, cols, 0, (lsparsity2==0)?0:1, lsparsity2, 3); |
| writeInputMatrix("B", B, true); |
| |
| boolean exceptionExpected = false; |
| runTest(true, exceptionExpected, null, -1); |
| |
| if( !(type==OpType.DIVISION) ) |
| { |
| runRScript(true); |
| |
| //compare matrices |
| HashMap<CellIndex, Double> dmlfile = readDMLMatrixFromHDFS("C"); |
| HashMap<CellIndex, Double> rfile = readRMatrixFromFS("C"); |
| TestUtils.compareMatrices(dmlfile, rfile, eps, "Stat-DML", "Stat-R"); |
| } |
| else |
| { |
| //For division, IEEE 754 defines x/0.0 as INFINITY and 0.0/0.0 as NaN. |
| //Java handles this correctly while R always returns 1.0E308 in those cases. |
| //Hence, we directly write the expected results. |
| |
| double C[][] = new double[rows][cols]; |
| for( int i=0; i<rows; i++ ) |
| for( int j=0; j<cols; j++ ) |
| C[i][j] = A[i][j]/B[i][j]; |
| writeExpectedMatrix("C", C); |
| |
| compareResults(); |
| } |
| } |
| finally { |
| rtplatform = platformOld; |
| DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld; |
| } |
| } |
| } |