blob: cdb89993bf92210f84a5d26ca00d23c8f4907779 [file] [log] [blame]
/*
* 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.frame;
import org.apache.sysds.api.DMLScript;
import org.apache.sysds.common.Types;
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.matrix.data.MatrixValue;
import org.apache.sysds.test.AutomatedTestBase;
import org.apache.sysds.test.TestConfiguration;
import org.apache.sysds.test.TestUtils;
import org.junit.AfterClass;
import org.junit.BeforeClass;
import org.junit.Test;
import java.util.HashMap;
public class FrameEqualTest extends AutomatedTestBase {
private final static String TEST_NAME = "frameComparisonTest";
private final static String TEST_DIR = "functions/binary/frame/";
private static final String TEST_CLASS_DIR = TEST_DIR + FrameEqualTest.class.getSimpleName() + "/";
private final static int rows = 100;
private final static Types.ValueType[] schemaStrings1 = {Types.ValueType.FP64, Types.ValueType.BOOLEAN, Types.ValueType.INT64, Types.ValueType.STRING, Types.ValueType.STRING, Types.ValueType.FP64};
private final static Types.ValueType[] schemaStrings2 = {Types.ValueType.INT64, Types.ValueType.BOOLEAN, Types.ValueType.FP32, Types.ValueType.FP64, Types.ValueType.STRING, Types.ValueType.FP32};
public enum TestType {
GREATER, LESS, EQUALS, NOT_EQUALS, GREATER_EQUALS, LESS_EQUALS,
}
@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);
}
}
@Override
public void setUp() {
TestUtils.clearAssertionInformation();
addTestConfiguration(TEST_NAME, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME, new String[] {"D"}));
if (TEST_CACHE_ENABLED) {
setOutAndExpectedDeletionDisabled(true);
}
}
@Test
public void testFrameEqualCP() {
runComparisonTest(schemaStrings1, schemaStrings2, rows, schemaStrings1.length, TestType.EQUALS, ExecType.CP);
}
@Test
public void testFrameEqualSpark() {
runComparisonTest(schemaStrings1, schemaStrings2, rows, schemaStrings1.length, TestType.EQUALS, ExecType.SPARK);
}
@Test
public void testFrameNotEqualCP() {
runComparisonTest(schemaStrings1, schemaStrings2, rows, schemaStrings1.length, TestType.NOT_EQUALS, ExecType.CP);
}
@Test
public void testFrameNotEqualSpark() {
runComparisonTest(schemaStrings1, schemaStrings2, rows, schemaStrings1.length, TestType.NOT_EQUALS, ExecType.SPARK);
}
@Test
public void testFrameLessThanCP() {
runComparisonTest(schemaStrings1, schemaStrings2, rows, schemaStrings1.length, TestType.LESS, ExecType.CP);
}
@Test
public void testFrameLessThanSpark() {
runComparisonTest(schemaStrings1, schemaStrings2, rows, schemaStrings1.length, TestType.LESS, ExecType.SPARK);
}
@Test
public void testFrameGreaterEqualsCP() {
runComparisonTest(schemaStrings1, schemaStrings2, rows, schemaStrings1.length, TestType.GREATER_EQUALS, ExecType.CP);
}
@Test
public void testFrameGreaterEqualsSpark() {
runComparisonTest(schemaStrings1, schemaStrings2, rows, schemaStrings1.length, TestType.GREATER_EQUALS, ExecType.SPARK);
}
@Test
public void testFrameLessEqualsCP() {
runComparisonTest(schemaStrings1, schemaStrings2, rows, schemaStrings1.length, TestType.LESS_EQUALS, ExecType.CP);
}
@Test
public void testFrameLessEqualsSpark() {
runComparisonTest(schemaStrings1, schemaStrings2, rows, schemaStrings1.length, TestType.LESS_EQUALS, ExecType.SPARK);
}
@Test
public void testFrameGreaterThanCP() {
runComparisonTest(schemaStrings1, schemaStrings2, rows, schemaStrings1.length, TestType.GREATER, ExecType.CP);
}
@Test
public void testFrameGreaterThanSpark() {
runComparisonTest(schemaStrings1, schemaStrings2, rows, schemaStrings1.length, TestType.GREATER, ExecType.SPARK);
}
private void runComparisonTest(Types.ValueType[] schema1, Types.ValueType[] schema2, int rows, int cols,
TestType type, ExecType et)
{
Types.ExecMode platformOld = setExecMode(et);
boolean oldFlag = OptimizerUtils.ALLOW_ALGEBRAIC_SIMPLIFICATION;
boolean sparkConfigOld = DMLScript.USE_LOCAL_SPARK_CONFIG;
try {
getAndLoadTestConfiguration(TEST_NAME);
double[][] A = getRandomMatrix(rows, cols, 2, 3, 1, 2);
double[][] B = getRandomMatrix(rows, cols, 10, 20, 1, 0);
writeInputFrameWithMTD("A", A, true, schemaStrings1, FileFormat.BINARY);
writeInputFrameWithMTD("B", B, true, schemaStrings2, FileFormat.BINARY);
String HOME = SCRIPT_DIR + TEST_DIR;
fullDMLScriptName = HOME + TEST_NAME + ".dml";
programArgs = new String[] {"-explain", "recompile_runtime", "-nvargs", "A=" + input("A"), "B=" + input("B"),
"rows=" + String.valueOf(rows), "cols=" + Integer.toString(cols), "type=" + String.valueOf(type), "C=" + output("C")};
fullRScriptName = HOME + TEST_NAME + ".R";
rCmd = "Rscript" + " " + fullRScriptName + " " + inputDir() + " " + String.valueOf(type) + " " + expectedDir();
runTest(true, false, null, -1);
runRScript(true);
//compare matrices
HashMap<MatrixValue.CellIndex, Double> dmlfile = readDMLMatrixFromHDFS("C");
HashMap<MatrixValue.CellIndex, Double> rfile = readRMatrixFromFS("C");
double eps = 0.0001;
TestUtils.compareMatrices(dmlfile, rfile, eps, "Stat-DML", "Stat-R");
}
catch (Exception ex) {
throw new RuntimeException(ex);
}
finally {
rtplatform = platformOld;
DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld;
OptimizerUtils.ALLOW_ALGEBRAIC_SIMPLIFICATION = oldFlag;
OptimizerUtils.ALLOW_AUTO_VECTORIZATION = true;
OptimizerUtils.ALLOW_OPERATOR_FUSION = true;
}
}
}