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* Licensed to the Apache Software Foundation (ASF) under one
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* 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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package org.apache.sysds.test.functions.federated.primitives;
import java.util.Arrays;
import java.util.Collection;
import org.apache.sysds.api.DMLScript;
import org.apache.sysds.common.Types;
import org.apache.sysds.runtime.meta.MatrixCharacteristics;
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;
import org.junit.Assert;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.junit.runners.Parameterized;
@RunWith(value = Parameterized.class)
@net.jcip.annotations.NotThreadSafe
public class FederatedQuantileWeightsTest extends AutomatedTestBase {
private final static String TEST_DIR = "functions/federated/quantile/";
private final static String TEST_NAME1 = "FederatedQuantileWeightsTest";
private final static String TEST_NAME2 = "FederatedMedianWeightsTest";
private final static String TEST_NAME3 = "FederatedIQMWeightsTest";
private final static String TEST_NAME4 = "FederatedQuantilesWeightsTest";
private final static String TEST_CLASS_DIR = TEST_DIR + FederatedQuantileWeightsTest.class.getSimpleName() + "/";
private final static int blocksize = 1024;
@Parameterized.Parameter()
public int rows;
@Parameterized.Parameters
public static Collection<Object[]> data() {
return Arrays.asList(new Object[][] {{1000}});
}
@Override
public void setUp() {
TestUtils.clearAssertionInformation();
addTestConfiguration(TEST_NAME1, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME1, new String[] {"S.scalar"}));
addTestConfiguration(TEST_NAME2, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME2, new String[] {"S.scalar"}));
addTestConfiguration(TEST_NAME3, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME3, new String[] {"S.scalar"}));
addTestConfiguration(TEST_NAME4, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME4, new String[] {"S"}));
}
@Test
public void federatedQuantile1CP() { federatedQuartile(Types.ExecMode.SINGLE_NODE, TEST_NAME1, 0.25); }
@Test
public void federatedQuantile2CP() { federatedQuartile(Types.ExecMode.SINGLE_NODE, TEST_NAME1, 0.5); }
@Test
public void federatedQuantile3CP() { federatedQuartile(Types.ExecMode.SINGLE_NODE, TEST_NAME1, 0.75); }
@Test
public void federatedMedianCP() { federatedQuartile(Types.ExecMode.SINGLE_NODE, TEST_NAME2, -1); }
@Test
public void federatedIQMCP() { federatedQuartile(Types.ExecMode.SINGLE_NODE, TEST_NAME1, -1); }
@Test
public void federatedQuantilesCP() { federatedQuartile(Types.ExecMode.SINGLE_NODE, TEST_NAME1, -1); }
public void federatedQuartile(Types.ExecMode execMode, String TEST_NAME, double p) {
boolean sparkConfigOld = DMLScript.USE_LOCAL_SPARK_CONFIG;
Types.ExecMode platformOld = rtplatform;
getAndLoadTestConfiguration(TEST_NAME);
String HOME = SCRIPT_DIR + TEST_DIR;
double[][] X1 = getRandomMatrix(rows, 1, 1, 5, 1, 3);
MatrixCharacteristics mc = new MatrixCharacteristics(rows, 1, blocksize, rows);
writeInputMatrixWithMTD("X1", X1, false, mc);
double[][] W = getRandomMatrix(rows, 1, 1, 1, 1.0, 1);
writeInputMatrixWithMTD("W", W, false);
// empty script name because we don't execute any script, just start the worker
fullDMLScriptName = "";
int port1 = getRandomAvailablePort();
Thread t1 = startLocalFedWorkerThread(port1);
// we need the reference file to not be written to hdfs, so we get the correct format
rtplatform = Types.ExecMode.SINGLE_NODE;
// Run reference dml script with normal matrix for Row/Col
fullDMLScriptName = HOME + TEST_NAME + "Reference.dml";
programArgs = new String[] {"-explain", "-stats", "100", "-args", input("X1"), expected("S"), String.valueOf(p), input("W")};
runTest(true, false, null, -1);
// reference file should not be written to hdfs, so we set platform here
rtplatform = execMode;
if(rtplatform == Types.ExecMode.SPARK) {
DMLScript.USE_LOCAL_SPARK_CONFIG = true;
}
TestConfiguration config = availableTestConfigurations.get(TEST_NAME);
loadTestConfiguration(config);
fullDMLScriptName = HOME + TEST_NAME + ".dml";
programArgs = new String[] {"-explain", "-stats", "100", "-nvargs",
"in_X1=" + TestUtils.federatedAddress(port1, input("X1")),
"rows=" + rows, "cols=" + 1,
"p=" + String.valueOf(p), "W=" + input("W"),
"out_S=" + output("S")
};
runTest(true, false, null, -1);
// compare all sums via files
compareResults(1e-9);
Assert.assertTrue(heavyHittersContainsString("fed_qsort"));
Assert.assertTrue(heavyHittersContainsString("fed_qpick"));
// check that federated input files are still existing
Assert.assertTrue(HDFSTool.existsFileOnHDFS(input("X1")));
TestUtils.shutdownThreads(t1);
rtplatform = platformOld;
DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld;
}
}