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/*
* 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
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* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
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package org.apache.sysds.test.functions.frame;
import org.junit.Test;
import org.apache.sysds.api.DMLScript;
import org.apache.sysds.common.Types.ExecMode;
import org.apache.sysds.common.Types.FileFormat;
import org.apache.sysds.hops.OptimizerUtils;
import org.apache.sysds.lops.LopProperties.ExecType;
import org.apache.sysds.runtime.io.FrameReaderFactory;
import org.apache.sysds.runtime.io.FrameWriterFactory;
import org.apache.sysds.runtime.matrix.data.FrameBlock;
import org.apache.sysds.runtime.util.DataConverter;
import org.apache.sysds.test.AutomatedTestBase;
import org.apache.sysds.test.TestConfiguration;
import org.apache.sysds.test.TestUtils;
public class FrameFunctionTest extends AutomatedTestBase
{
private final static String TEST_DIR = "functions/frame/";
private final static String TEST_NAME = "FrameFunction";
private final static String TEST_CLASS_DIR = TEST_DIR + FrameFunctionTest.class.getSimpleName() + "/";
private final static int rows = 1382;
private final static int cols = 5;
@Override
public void setUp() {
TestUtils.clearAssertionInformation();
addTestConfiguration(TEST_NAME, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME, new String[] {"F2"}));
}
@Test
public void testFrameFunctionIPACP() {
runFrameFunctionTest(ExecType.CP, true);
}
@Test
public void testFrameFunctionIPASpark() {
runFrameFunctionTest(ExecType.SPARK, true);
}
@Test
public void testFrameFunctionNoIPACP() {
runFrameFunctionTest(ExecType.CP, false);
}
@Test
public void testFrameFunctionNoIPASpark() {
runFrameFunctionTest(ExecType.SPARK, false);
}
private void runFrameFunctionTest( ExecType et, boolean IPA )
{
//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
|| rtplatform == ExecMode.HYBRID )
DMLScript.USE_LOCAL_SPARK_CONFIG = true;
boolean oldIPA = OptimizerUtils.ALLOW_INTER_PROCEDURAL_ANALYSIS;
OptimizerUtils.ALLOW_INTER_PROCEDURAL_ANALYSIS = IPA;
try
{
//setup testcase
getAndLoadTestConfiguration(TEST_NAME);
String HOME = SCRIPT_DIR + TEST_DIR;
fullDMLScriptName = HOME + TEST_NAME + ".dml";
programArgs = new String[]{"-explain", "-args",
input("F"), output("F2")};
//generate input data and write as frame
double[][] A = getRandomMatrix(rows, cols, -10, 10, 0.9, 8362);
FrameBlock fA = DataConverter.convertToFrameBlock(
DataConverter.convertToMatrixBlock(A));
FrameWriterFactory.createFrameWriter(FileFormat.CSV)
.writeFrameToHDFS(fA, input("F"), rows, cols);
//run test
runTest(true, false, null, -1);
//read input/output and compare
FrameBlock fB = FrameReaderFactory
.createFrameReader(FileFormat.CSV)
.readFrameFromHDFS(output("F2"), rows, cols);
String[][] R1 = DataConverter.convertToStringFrame(fA);
String[][] R2 = DataConverter.convertToStringFrame(fB);
TestUtils.compareFrames(R1, R2, R1.length, R1[0].length);
}
catch(Exception ex) {
throw new RuntimeException(ex);
}
finally {
rtplatform = platformOld;
DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld;
OptimizerUtils.ALLOW_INTER_PROCEDURAL_ANALYSIS = oldIPA;
}
}
}