mirror of https://github.com/google/oss-fuzz.git
41 lines
1.5 KiB
Java
41 lines
1.5 KiB
Java
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import com.code_intelligence.jazzer.api.FuzzedDataProvider;
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import java.util.ArrayList;
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import org.apache.commons.math4.legacy.exception.DimensionMismatchException;
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import org.apache.commons.math4.legacy.ml.distance.CanberraDistance;
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import org.apache.commons.math4.legacy.ml.distance.ChebyshevDistance;
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import org.apache.commons.math4.legacy.ml.distance.EarthMoversDistance;
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import org.apache.commons.math4.legacy.ml.distance.EuclideanDistance;
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import org.apache.commons.math4.legacy.ml.distance.ManhattanDistance;
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public class MathDistanceMeasureFuzzer {
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double m_x0[];
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double m_x1[];
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public MathDistanceMeasureFuzzer(FuzzedDataProvider fuzzedDataProvider) {
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m_x0 = new double[fuzzedDataProvider.consumeInt(1,100)];
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m_x1 = new double[fuzzedDataProvider.consumeInt(1,100)];
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for (int i = 0; i < m_x0.length; ++i) {
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m_x0[i] = fuzzedDataProvider.consumeRegularDouble();
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}
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for (int i = 0; i < m_x1.length; ++i) {
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m_x1[i] = fuzzedDataProvider.consumeRegularDouble();
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}
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}
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void computeDistances() {
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try {
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new CanberraDistance().compute(m_x0, m_x1);
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new ChebyshevDistance().compute(m_x0, m_x1);
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new EarthMoversDistance().compute(m_x0, m_x1);
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new EuclideanDistance().compute(m_x0, m_x1);
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new ManhattanDistance().compute(m_x0, m_x1);
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} catch (DimensionMismatchException ex) {
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/* documented, ignore */
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}
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}
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public static void fuzzerTestOneInput(FuzzedDataProvider data) {
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MathDistanceMeasureFuzzer testClosure = new MathDistanceMeasureFuzzer(data);
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testClosure.computeDistances();
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}
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}
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