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commit 71bfa2daeb01fdaab7c35047d04e06af0ef10461
Author: Gilles Sadowski <gillese...@gmail.com>
AuthorDate: Sun Jul 11 02:36:10 2021 +0200
Adapt to API change in "Commons Numbers".
---
.../legacy/analysis/interpolation/UnivariatePeriodicInterpolator.java | 2 +-
.../legacy/analysis/polynomials/PolynomialFunctionLagrangeForm.java | 4 ++--
.../commons/math4/legacy/stat/descriptive/rank/PSquarePercentile.java | 2 +-
.../apache/commons/math4/legacy/stat/descriptive/rank/Percentile.java | 2 +-
4 files changed, 5 insertions(+), 5 deletions(-)
diff --git
a/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/analysis/interpolation/UnivariatePeriodicInterpolator.java
b/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/analysis/interpolation/UnivariatePeriodicInterpolator.java
index ef3122a..942d055 100644
---
a/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/analysis/interpolation/UnivariatePeriodicInterpolator.java
+++
b/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/analysis/interpolation/UnivariatePeriodicInterpolator.java
@@ -114,7 +114,7 @@ public class UnivariatePeriodicInterpolator
y[index] = yval[i];
}
- SortInPlace.ASCENDING.accept(x, y);
+ SortInPlace.ASCENDING.apply(x, y);
final UnivariateFunction f = interpolator.interpolate(x, y);
return new UnivariateFunction() {
diff --git
a/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/analysis/polynomials/PolynomialFunctionLagrangeForm.java
b/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/analysis/polynomials/PolynomialFunctionLagrangeForm.java
index c0fe244..14f94b7 100644
---
a/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/analysis/polynomials/PolynomialFunctionLagrangeForm.java
+++
b/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/analysis/polynomials/PolynomialFunctionLagrangeForm.java
@@ -78,7 +78,7 @@ public class PolynomialFunctionLagrangeForm implements
UnivariateFunction {
coefficientsComputed = false;
if (!verifyInterpolationArray(x, y, false)) {
- SortInPlace.ASCENDING.accept(this.x, this.y);
+ SortInPlace.ASCENDING.apply(this.x, this.y);
// Second check in case some abscissa is duplicated.
verifyInterpolationArray(this.x, this.y, true);
}
@@ -183,7 +183,7 @@ public class PolynomialFunctionLagrangeForm implements
UnivariateFunction {
System.arraycopy(x, 0, xNew, 0, x.length);
System.arraycopy(y, 0, yNew, 0, y.length);
- SortInPlace.ASCENDING.accept(xNew, yNew);
+ SortInPlace.ASCENDING.apply(xNew, yNew);
// Second check in case some abscissa is duplicated.
verifyInterpolationArray(xNew, yNew, true);
return evaluateInternal(xNew, yNew, z);
diff --git
a/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/stat/descriptive/rank/PSquarePercentile.java
b/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/stat/descriptive/rank/PSquarePercentile.java
index 01664fa..5ffc871 100644
---
a/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/stat/descriptive/rank/PSquarePercentile.java
+++
b/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/stat/descriptive/rank/PSquarePercentile.java
@@ -767,7 +767,7 @@ public class PSquarePercentile extends
AbstractStorelessUnivariateStatistic
new double[] { xval[1], xval[1 + delta] };
final double[] yBad =
new double[] { yval[1], yval[1 + delta] };
- SortInPlace.ASCENDING.accept(xBad, yBad);// since d can be
+/- 1
+ SortInPlace.ASCENDING.apply(xBad, yBad);// since d can be
+/- 1
univariateFunction = linear.interpolate(xBad, yBad);
markerHeight = univariateFunction.value(xD);
}
diff --git
a/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/stat/descriptive/rank/Percentile.java
b/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/stat/descriptive/rank/Percentile.java
index 61c5dc5..8d2ac88 100644
---
a/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/stat/descriptive/rank/Percentile.java
+++
b/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/stat/descriptive/rank/Percentile.java
@@ -1150,7 +1150,7 @@ public class Percentile extends
AbstractUnivariateStatistic implements Serializa
@Override
public double evaluate(final double[] work, final double[]
sampleWeights,
final double p) {
- SortInPlace.ASCENDING.accept(work, sampleWeights);
+ SortInPlace.ASCENDING.apply(work, sampleWeights);
double[] sk = new double[work.length];
for(int k = 0; k < work.length; k++) {
sk[k] = 0;
