Reduce code duplication.
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@ -214,29 +214,17 @@ public class Percentile extends AbstractUnivariateStatistic implements Serializa
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}
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/**
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* Set the data array.
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* @param values data array to store
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* @param sampleWeights corresponding positive and non-NaN weights of values
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* @throws MathIllegalArgumentException if lengths of values and weights are not equal or values or weights is null
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* @param values Data array.
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* Cannot be {@code null}.
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* @param sampleWeights corresponding positive and non-NaN weights.
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* Cannot be {@code null}.
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* @throws MathIllegalArgumentException if lengths of values and weights are not equal.
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* @throws org.apache.commons.math4.exception.NotANumberException if any weight is NaN
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* @throws org.apache.commons.math4.exception.NotStrictlyPositiveException if any weight is not positive
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*/
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public void setData(final double[] values, final double[] sampleWeights) {
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if (values == null || sampleWeights == null) {
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throw new MathIllegalArgumentException(LocalizedFormats.NULL_NOT_ALLOWED);
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}
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/** Check length */
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if (values.length != sampleWeights.length) {
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throw new MathIllegalArgumentException(LocalizedFormats.LENGTH,
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values, sampleWeights);
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}
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cachedPivots = new int[PIVOTS_HEAP_LENGTH];
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Arrays.fill(cachedPivots, -1);
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MathArrays.checkPositive(sampleWeights);
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MathArrays.checkNotNaN(sampleWeights);
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super.setData(values);
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weights = sampleWeights.clone();
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public void setData(final double[] values,
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final double[] sampleWeights) {
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setData(values, sampleWeights, 0, values.length);
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}
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/** {@inheritDoc} */
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@ -252,8 +240,10 @@ public class Percentile extends AbstractUnivariateStatistic implements Serializa
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}
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/**
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* Set the data and weights arrays. The input array is copied, not referenced.
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* @param values data array to store
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* @param sampleWeights corresponding positive and non-NaN weights of values
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* @param values Data array.
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* Cannot be {@code null}.
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* @param sampleWeights corresponding positive and non-NaN weights.
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* Cannot be {@code null}.
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* @param begin the index of the first element to include
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* @param length the number of elements to include
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* @throws MathIllegalArgumentException if lengths of values and weights are not equal or values or weights is null
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@ -279,7 +269,7 @@ public class Percentile extends AbstractUnivariateStatistic implements Serializa
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begin + length, values.length, true);
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}
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if (values == null || sampleWeights == null) {
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if (sampleWeights == null) {
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throw new MathIllegalArgumentException(LocalizedFormats.NULL_NOT_ALLOWED);
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}
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cachedPivots = new int[PIVOTS_HEAP_LENGTH];
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@ -954,7 +954,7 @@ public class PercentileTest extends UnivariateStatisticAbstractTest{
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new Percentile().setData(dataset, weights, 0, dataset.length+1);
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}
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@Test(expected=MathIllegalArgumentException.class)
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@Test(expected=NullPointerException.class)
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public void testsetDataInputNull() {
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new Percentile().setData(null, null);
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new Percentile().setData(null, null, 0, 0);
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@ -1043,4 +1043,4 @@ public class PercentileTest extends UnivariateStatisticAbstractTest{
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p.evaluate(dataset, weights, 0, dataset.length + 1);
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p.evaluate(dataset, weights, 0, dataset.length + 1, 50);
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}
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}
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}
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