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shore-up tests for Interpolate

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This commit is contained in:
Jonathan Shook 2025-01-10 18:02:44 -06:00
parent 185d427fcd
commit 3255cd2b76
2 changed files with 28 additions and 10 deletions
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2
nb-virtdata/virtdata-lib-basics/src/main/java/io/nosqlbench/virtdata/library/basics/shared/from_long/to_double/Interpolate.java
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@ -51,7 +51,7 @@ public class Interpolate implements LongToDoubleFunction {
private final double resolution; private final double resolution;
// The lookup table // The lookup table
private final double[] lut; public final double[] lut;
/** /**
* The scale of Long.MAX_VALUE and the unit interval scale factor are pre-combined * The scale of Long.MAX_VALUE and the unit interval scale factor are pre-combined

36
nb-virtdata/virtdata-lib-basics/src/test/java/io/nosqlbench/virtdata/library/basics/shared/from_long/to_long/InterpolateTest.java
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@ -22,29 +22,47 @@ import org.apache.logging.log4j.Logger;
import org.assertj.core.data.Offset; import org.assertj.core.data.Offset;
import org.junit.jupiter.api.Test; import org.junit.jupiter.api.Test;
import java.util.function.LongToDoubleFunction;
import java.util.function.LongUnaryOperator;
import static org.assertj.core.api.Assertions.assertThat; import static org.assertj.core.api.Assertions.assertThat;
public class InterpolateTest { public class InterpolateTest {
private final static Logger logger = LogManager.getLogger(InterpolateTest.class); private final static Logger logger = LogManager.getLogger(InterpolateTest.class);
private static int iterations = 1000000;
@Test @Test
public void testRanging() { public void testRanging() {
io.nosqlbench.virtdata.library.basics.shared.from_long.to_double.Interpolate interpolate = io.nosqlbench.virtdata.library.basics.shared.from_long.to_double.Interpolate interpolate =
new io.nosqlbench.virtdata.library.basics.shared.from_long.to_double.Interpolate (0.0d, 1.0d); new io.nosqlbench.virtdata.library.basics.shared.from_long.to_double.Interpolate (0.0d, 1.0d);
Hash hf = new Hash(); DescriptiveStatistics dss = tabulate(new Hash(),interpolate, iterations);
DescriptiveStatistics dss = new DescriptiveStatistics();
long count=10000000;
for (long i = 0; i < count; i++) {
long input = (long) (Long.MAX_VALUE * ((double)i/(double)count));
long prn = hf.applyAsLong(input);
double v = interpolate.applyAsDouble(prn);
dss.addValue(v);
}
assertThat(dss.getPercentile(0.000001)).isCloseTo(0.0, Offset.offset(0.01)); assertThat(dss.getPercentile(0.000001)).isCloseTo(0.0, Offset.offset(0.01));
assertThat(dss.getPercentile(50.0)).isCloseTo(0.5,Offset.offset(0.01));
assertThat(dss.getPercentile(99.99999)).isCloseTo(1.0, Offset.offset(0.01)); assertThat(dss.getPercentile(99.99999)).isCloseTo(1.0, Offset.offset(0.01));
} }
@Test
public void testShaping() {
double[] shape = new double[]{0.0,0.9,0.95,1.0};
io.nosqlbench.virtdata.library.basics.shared.from_long.to_double.Interpolate interpolate =
new io.nosqlbench.virtdata.library.basics.shared.from_long.to_double.Interpolate (shape);
DescriptiveStatistics dss = tabulate(new Hash(),interpolate, iterations);
assertThat(dss.getPercentile(0.000001)).isCloseTo(0.0, Offset.offset(0.01));
assertThat(dss.getPercentile(50.0)).isCloseTo(0.5,Offset.offset(0.925));
assertThat(dss.getPercentile(99.99999)).isCloseTo(1.0, Offset.offset(0.01));
}
public static DescriptiveStatistics tabulate(LongUnaryOperator bias,
LongToDoubleFunction f, int count) {
DescriptiveStatistics dss = new DescriptiveStatistics();
for (long i = 0; i < count; i++) {
long input = (long) (Long.MAX_VALUE * ((double)i/(double)count));
long prn = bias.applyAsLong(input);
double v = f.applyAsDouble(prn);
dss.addValue(v);
}
return dss;
}
@Test @Test
public void testDeciles() { public void testDeciles() {