This is an automated email from the ASF dual-hosted git repository.
aherbert pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/commons-statistics.git
commit fa9d1a88d6e007de2354caefee08767b0c7c9c73
Author: Alex Herbert <aherb...@apache.org>
AuthorDate: Fri Jul 23 18:41:41 2021 +0100
Remove public modifiers of package level TestUtils
---
.../commons/statistics/distribution/TestUtils.java | 58 +++++++++++-----------
1 file changed, 29 insertions(+), 29 deletions(-)
diff --git
a/commons-statistics-distribution/src/test/java/org/apache/commons/statistics/distribution/TestUtils.java
b/commons-statistics-distribution/src/test/java/org/apache/commons/statistics/distribution/TestUtils.java
index 19920e8..1e84c83 100644
---
a/commons-statistics-distribution/src/test/java/org/apache/commons/statistics/distribution/TestUtils.java
+++
b/commons-statistics-distribution/src/test/java/org/apache/commons/statistics/distribution/TestUtils.java
@@ -26,7 +26,7 @@ import org.junit.jupiter.api.Assertions;
/**
* Test utilities.
*/
-public final class TestUtils {
+final class TestUtils {
/**
* Collection of static methods used in math unit tests.
*/
@@ -39,9 +39,9 @@ public final class TestUtils {
* @param observed Observed values.
* @param tolerance Amount of absolute error to allow.
*/
- public static void assertEquals(double[] expected,
- double[] observed,
- double tolerance) {
+ static void assertEquals(double[] expected,
+ double[] observed,
+ double tolerance) {
assertEquals(() -> "Array comparison failure", expected, observed,
tolerance);
}
@@ -54,9 +54,9 @@ public final class TestUtils {
* @param actual observed value
* @param relativeError maximum allowable relative error
*/
- public static void assertRelativelyEquals(double expected,
- double actual,
- double relativeError) {
+ static void assertRelativelyEquals(double expected,
+ double actual,
+ double relativeError) {
assertRelativelyEquals(null, expected, actual, relativeError);
}
@@ -70,10 +70,10 @@ public final class TestUtils {
* @param actual observed value
* @param relativeError maximum allowable relative error
*/
- public static void assertRelativelyEquals(Supplier<String> msg,
- double expected,
- double actual,
- double relativeError) {
+ static void assertRelativelyEquals(Supplier<String> msg,
+ double expected,
+ double actual,
+ double relativeError) {
if (Double.isNaN(expected)) {
Assertions.assertTrue(Double.isNaN(actual), msg);
} else if (Double.isNaN(actual)) {
@@ -96,10 +96,10 @@ public final class TestUtils {
* @param observed Observed values.
* @param tolerance Amount of absolute error to allow.
*/
- public static void assertEquals(Supplier<String> msg,
- double[] expected,
- double[] observed,
- double tolerance) {
+ static void assertEquals(Supplier<String> msg,
+ double[] expected,
+ double[] observed,
+ double tolerance) {
if (expected.length != observed.length) {
final StringBuilder out = new StringBuilder(msg.get());
out.append("\n Arrays not same length. \n");
@@ -181,10 +181,10 @@ public final class TestUtils {
* @param observed observed counts
* @param alpha significance level of the test
*/
- public static void assertChiSquareAccept(int[] values,
- double[] expected,
- long[] observed,
- double alpha) {
+ static void assertChiSquareAccept(int[] values,
+ double[] expected,
+ long[] observed,
+ double alpha) {
assertChiSquare(values, expected, observed, alpha);
}
@@ -196,9 +196,9 @@ public final class TestUtils {
* @param observed observed counts
* @param alpha significance level of the test
*/
- public static void assertChiSquareAccept(double[] expected,
- long[] observed,
- double alpha) {
+ static void assertChiSquareAccept(double[] expected,
+ long[] observed,
+ double alpha) {
final int[] values = new int[expected.length];
for (int i = 0; i < values.length; i++) {
values[i] = i + 1;
@@ -213,7 +213,7 @@ public final class TestUtils {
* @param distribution Distribution.
* @return the quartiles
*/
- public static double[] getDistributionQuartiles(ContinuousDistribution
distribution) {
+ static double[] getDistributionQuartiles(ContinuousDistribution
distribution) {
final double[] quantiles = new double[3];
quantiles[0] = distribution.inverseCumulativeProbability(0.25d);
quantiles[1] = distribution.inverseCumulativeProbability(0.5d);
@@ -229,7 +229,7 @@ public final class TestUtils {
* @param counts Counts for each quartile.
* @param quartiles Quartiles.
*/
- public static void updateCounts(double value, long[] counts, double[]
quartiles) {
+ static void updateCounts(double value, long[] counts, double[] quartiles) {
if (value > quartiles[1]) {
counts[value <= quartiles[2] ? 2 : 3]++;
} else {
@@ -247,7 +247,7 @@ public final class TestUtils {
* @param densityValues Density values.
* @return number of positive mass points
*/
- public static int eliminateZeroMassPoints(int[] densityPoints, double[]
densityValues) {
+ static int eliminateZeroMassPoints(int[] densityPoints, double[]
densityValues) {
int positiveMassCount = 0;
for (int i = 0; i < densityValues.length; i++) {
if (densityValues[i] > 0) {
@@ -279,8 +279,8 @@ public final class TestUtils {
* @param sampler Sampler.
* @return an array of size {@code n}.
*/
- public static double[] sample(int n,
- ContinuousDistribution.Sampler sampler) {
+ static double[] sample(int n,
+ ContinuousDistribution.Sampler sampler) {
final double[] samples = new double[n];
for (int i = 0; i < n; i++) {
samples[i] = sampler.sample();
@@ -296,8 +296,8 @@ public final class TestUtils {
* @param sampler Sampler.
* @return an array of size {@code n}.
*/
- public static int[] sample(int n,
- DiscreteDistribution.Sampler sampler) {
+ static int[] sample(int n,
+ DiscreteDistribution.Sampler sampler) {
final int[] samples = new int[n];
for (int i = 0; i < n; i++) {
samples[i] = sampler.sample();
