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Moved the cluster tests to sse.datamining

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This commit is contained in:
Lennart Hensler
2017-02-16 16:06:30 +01:00
parent 2a22240137
commit b454e38bc0
2 changed files with 2 additions and 3 deletions
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java/com.sap.sailing.datamining.test/src/com/sap/sailing/datamining/impl/data/TestLinearDoubleClusterGroup.java
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package com.sap.sailing.datamining.impl.data;
import static org.hamcrest.CoreMatchers.is;
import static org.hamcrest.CoreMatchers.nullValue;
import static org.junit.Assert.assertThat;
import org.junit.Before;
import org.junit.Test;
import com.sap.sse.datamining.data.Cluster;
import com.sap.sse.datamining.impl.data.ClusterWithLowerAndUpperBoundaries;
import com.sap.sse.datamining.impl.data.ClusterWithSingleBoundary;
import com.sap.sse.datamining.impl.data.ComparableClusterBoundary;
import com.sap.sse.datamining.impl.data.ComparisonStrategy;
import com.sap.sse.datamining.impl.data.LinearDoubleClusterGroup;
// TODO Move to sse bundle, after 49er analysis
public class TestLinearDoubleClusterGroup {
private LinearDoubleClusterGroup hardPercentageClusterGroup;
private LinearDoubleClusterGroup softLinearClusterGroup;
@Before
public void initialize() {
hardPercentageClusterGroup = new LinearDoubleClusterGroup(0.0, 1.0, 0.1, true);
softLinearClusterGroup = new LinearDoubleClusterGroup(0, 100, 10, false);
}
@Test
public void testGetClusterForValueOutOfBounds() {
Cluster<Double> cluster = hardPercentageClusterGroup.getClusterFor(-0.01);
assertThat(cluster, nullValue());
cluster = hardPercentageClusterGroup.getClusterFor(1.01);
assertThat(cluster, nullValue());
cluster = softLinearClusterGroup.getClusterFor(-0.1);
Cluster<Double> expectedCluster = createCluster(softLinearClusterGroup.getStepSize(), ComparisonStrategy.LOWER_THAN);
assertThat(cluster, is(expectedCluster));
cluster = softLinearClusterGroup.getClusterFor(100.1);
expectedCluster = createCluster(softLinearClusterGroup.getUpperGroupBound() - softLinearClusterGroup.getStepSize(), ComparisonStrategy.GREATER_EQUALS_THAN);
assertThat(cluster, is(expectedCluster));
}
@Test
public void testGetClusterForBoundaryValues() {
Cluster<Double> cluster = hardPercentageClusterGroup.getClusterFor(0.0);
Cluster<Double> expectedCluster = createCluster(hardPercentageClusterGroup.getLowerGroupBound(), ComparisonStrategy.GREATER_EQUALS_THAN,
hardPercentageClusterGroup.getLowerGroupBound() + hardPercentageClusterGroup.getStepSize(), ComparisonStrategy.LOWER_THAN);
assertThat(cluster, is(expectedCluster));
cluster = hardPercentageClusterGroup.getClusterFor(1.0);
expectedCluster = createCluster(hardPercentageClusterGroup.getUpperGroupBound() - hardPercentageClusterGroup.getStepSize(), ComparisonStrategy.GREATER_EQUALS_THAN,
hardPercentageClusterGroup.getUpperGroupBound(), ComparisonStrategy.LOWER_EQUALS_THAN);
assertThat(cluster, is(expectedCluster));
cluster = softLinearClusterGroup.getClusterFor(0.0);
expectedCluster = createCluster(softLinearClusterGroup.getStepSize(), ComparisonStrategy.LOWER_THAN);
assertThat(cluster, is(expectedCluster));
cluster = softLinearClusterGroup.getClusterFor(100.0);
expectedCluster = createCluster(softLinearClusterGroup.getUpperGroupBound() - softLinearClusterGroup.getStepSize(), ComparisonStrategy.GREATER_EQUALS_THAN);
assertThat(cluster, is(expectedCluster));
}
@Test
public void testGetClusterFor() {
LinearDoubleClusterGroup clusterGroup = softLinearClusterGroup;
double value = (clusterGroup.getUpperGroupBound() + clusterGroup.getStepSize()) / 2;
Cluster<Double> cluster = clusterGroup.getClusterFor(value);
Cluster<Double> expectedCluster = createCluster(clusterGroup.getUpperGroupBound() / 2, ComparisonStrategy.GREATER_EQUALS_THAN,
(clusterGroup.getUpperGroupBound() / 2) + clusterGroup.getStepSize(), ComparisonStrategy.LOWER_THAN);
assertThat(cluster, is(expectedCluster));
}
private Cluster<Double> createCluster(double lowerBoundValue, ComparisonStrategy lowerComparisonStrategy, double upperBoundValue, ComparisonStrategy upperComparisonStrategy) {
ComparableClusterBoundary<Double> lowerBound = new ComparableClusterBoundary<>(lowerBoundValue, lowerComparisonStrategy);
ComparableClusterBoundary<Double> upperBound = new ComparableClusterBoundary<>(upperBoundValue, upperComparisonStrategy);
return new ClusterWithLowerAndUpperBoundaries<>(lowerBound, upperBound);
}
private Cluster<Double> createCluster(double boundValue, ComparisonStrategy comparisonStrategy) {
return new ClusterWithSingleBoundary<>(new ComparableClusterBoundary<>(boundValue, comparisonStrategy));
}
}
java/com.sap.sailing.datamining.test/src/com/sap/sailing/datamining/impl/data/TestPercentageClusterFormatter.java
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package com.sap.sailing.datamining.impl.data;
import static org.hamcrest.CoreMatchers.is;
import static org.junit.Assert.assertThat;
import org.junit.Before;
import org.junit.Test;
import com.sap.sse.datamining.data.Cluster;
import com.sap.sse.datamining.data.ClusterGroup;
import com.sap.sse.datamining.impl.data.LinearDoubleClusterGroup;
import com.sap.sse.datamining.impl.data.PercentageClusterFormatter;
public class TestPercentageClusterFormatter {
private ClusterGroup<Double> percentageClusterGroup;
private PercentageClusterFormatter formatter;
@Before
public void initialize() {
percentageClusterGroup = new LinearDoubleClusterGroup(0.0, 1.0, 0.1, true);
formatter = new PercentageClusterFormatter();
}
@Test
public void testFormat() {
Cluster<Double> cluster = percentageClusterGroup.getClusterFor(0.05);
String formattedCluster = formatter.format(cluster);
assertThat(formattedCluster, is("[0% - 10%["));
}
}