/*
* ARX: Powerful Data Anonymization
* Copyright 2012 - 2017 Fabian Prasser, Florian Kohlmayer and contributors
*
* Licensed 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.deidentifier.arx.test;
import java.util.Arrays;
import java.util.Collection;
import org.deidentifier.arx.ARXConfiguration;
import org.deidentifier.arx.criteria.BasicBLikeness;
import org.deidentifier.arx.criteria.EnhancedBLikeness;
import org.deidentifier.arx.metric.Metric;
import org.junit.runner.RunWith;
import org.junit.runners.Parameterized;
import org.junit.runners.Parameterized.Parameters;
/**
* Test for beta-likeness
*
* @author Fabian Prasser
*/
@RunWith(Parameterized.class)
public class TestAnonymizationBLikeness extends AbstractAnonymizationTest {
/**
* Returns the test cases.
*
* @return
*/
@Parameters(name = "{index}:[{0}]")
public static Collection<Object[]> cases() {
return Arrays.asList(new Object[][] {
/* 0 */{ new ARXAnonymizationTestCase(ARXConfiguration.create(0.5d, Metric.createLossMetric()).addPrivacyModel(new BasicBLikeness("occupation", 3)), "occupation", "./data/adult.csv", 0.34883856157237925, new int[]{ 0, 3, 0, 0, 2, 0, 1, 0 }, false) },
{ new ARXAnonymizationTestCase(ARXConfiguration.create(0d, Metric.createLossMetric()).addPrivacyModel(new EnhancedBLikeness("occupation", 2)), "occupation", "./data/adult.csv", 0.759176305345683, new int[]{ 1, 4, 1, 1, 3, 2, 2, 0 }, false) },
{ new ARXAnonymizationTestCase(ARXConfiguration.create(1d, Metric.createLossMetric()).addPrivacyModel(new BasicBLikeness("occupation", 1)), "occupation", "./data/adult.csv", 0.6081345989904172, new int[]{ 1, 4, 0, 1, 3, 0, 2, 0 }, false) },
{ new ARXAnonymizationTestCase(ARXConfiguration.create(1d, Metric.createLossMetric()).addPrivacyModel(new EnhancedBLikeness("occupation", 10)), "occupation", "./data/adult.csv", 0.3419039849540606, new int[]{ 0, 3, 0, 0, 3, 1, 2, 0 }, false) },
{ new ARXAnonymizationTestCase(ARXConfiguration.create(0.4d, Metric.createLossMetric()).addPrivacyModel(new BasicBLikeness("occupation", 5)), "occupation", "./data/adult.csv", 0.23350465152356303, new int[]{ 0, 2, 0, 0, 2, 0, 1, 0 }, false) },
{ new ARXAnonymizationTestCase(ARXConfiguration.create(1d, Metric.createLossMetric()).addPrivacyModel(new EnhancedBLikeness("occupation", 10)), "occupation", "./data/adult.csv", 0.3419039849540606, new int[]{ 0, 3, 0, 0, 3, 1, 2, 0 }, false) },
{ new ARXAnonymizationTestCase(ARXConfiguration.create(0d, Metric.createLossMetric()).addPrivacyModel(new BasicBLikeness("Highest level of school completed", 3)), "Highest level of school completed", "./data/atus.csv", 0.6084288906930164, new int[]{ 1, 5, 0, 2, 2, 2, 2, 1 }, false) },
{ new ARXAnonymizationTestCase(ARXConfiguration.create(1d, Metric.createLossMetric()).addPrivacyModel(new EnhancedBLikeness("Highest level of school completed", 1)), "Highest level of school completed", "./data/atus.csv", 0.4597797188541255, new int[]{ 0, 5, 0, 0, 2, 0, 0, 1 }, false) },
{ new ARXAnonymizationTestCase(ARXConfiguration.create(0.05d, Metric.createLossMetric()).addPrivacyModel(new BasicBLikeness("Highest level of school completed", 2)), "Highest level of school completed", "./data/atus.csv", 0.636221748452025, new int[]{ 0, 5, 0, 1, 2, 2, 2, 2 }, false) },
{ new ARXAnonymizationTestCase(ARXConfiguration.create(1d, Metric.createLossMetric()).addPrivacyModel(new BasicBLikeness("Highest level of school completed", 1)), "Highest level of school completed", "./data/atus.csv", 0.4597797188541255, new int[]{ 0, 5, 0, 0, 2, 0, 0, 1 }, false) },
});
}
/**
* Creates a new instance.
*
* @param testCase
*/
public TestAnonymizationBLikeness(final ARXAnonymizationTestCase testCase) {
super(testCase);
}
}