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Posted to commits@commons.apache.org by ah...@apache.org on 2022/11/21 19:23:25 UTC
[commons-statistics] 12/12: Use parameterized test
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 abe6f6e3561927bd4678a43c5eaad31cad8df3b3
Author: Alex Herbert <ah...@apache.org>
AuthorDate: Mon Nov 21 19:16:50 2022 +0000
Use parameterized test
---
.../statistics/distribution/TDistributionTest.java | 26 +++++++++++++---------
1 file changed, 15 insertions(+), 11 deletions(-)
diff --git a/commons-statistics-distribution/src/test/java/org/apache/commons/statistics/distribution/TDistributionTest.java b/commons-statistics-distribution/src/test/java/org/apache/commons/statistics/distribution/TDistributionTest.java
index f1e121b..69b8823 100644
--- a/commons-statistics-distribution/src/test/java/org/apache/commons/statistics/distribution/TDistributionTest.java
+++ b/commons-statistics-distribution/src/test/java/org/apache/commons/statistics/distribution/TDistributionTest.java
@@ -89,21 +89,25 @@ class TDistributionTest extends BaseContinuousDistributionTest {
* Have chosen tabulated results for degrees of freedom 2,10,30,100
* Have chosen problevels from 0.10 to 0.001
*/
- @Test
- void nistData() {
- final double[] prob = new double[]{0.10, 0.05, 0.025, 0.01, 0.005, 0.001};
- final double[] args2 = new double[]{1.886, 2.920, 4.303, 6.965, 9.925, 22.327};
- final double[] args10 = new double[]{1.372, 1.812, 2.228, 2.764, 3.169, 4.143};
- final double[] args30 = new double[]{1.310, 1.697, 2.042, 2.457, 2.750, 3.385};
- final double[] args100 = new double[]{1.290, 1.660, 1.984, 2.364, 2.626, 3.174};
+ @ParameterizedTest
+ @MethodSource
+ void testNistData(double t, double[] x, double[] expected) {
// Data points are not very exact so use a low tolerance.
final DoubleTolerance tolerance = createAbsTolerance(1e-4);
- testSurvivalProbability(TDistribution.of(2), args2, prob, tolerance);
- testSurvivalProbability(TDistribution.of(10), args10, prob, tolerance);
- testSurvivalProbability(TDistribution.of(30), args30, prob, tolerance);
- testSurvivalProbability(TDistribution.of(100), args100, prob, tolerance);
+ testSurvivalProbability(TDistribution.of(t), x, expected, tolerance);
+ }
+
+ static Stream<Arguments> testNistData() {
+ final double[] prob = new double[]{0.10, 0.05, 0.025, 0.01, 0.005, 0.001};
+ return Stream.of(
+ Arguments.of(2, new double[] {1.886, 2.920, 4.303, 6.965, 9.925, 22.327}, prob),
+ Arguments.of(10, new double[]{1.372, 1.812, 2.228, 2.764, 3.169, 4.143}, prob),
+ Arguments.of(30, new double[]{1.310, 1.697, 2.042, 2.457, 2.750, 3.385}, prob),
+ Arguments.of(100, new double[]{1.290, 1.660, 1.984, 2.364, 2.626, 3.174}, prob)
+ );
}
+
// See https://issues.apache.org/jira/browse/STATISTICS-25
@ParameterizedTest
@CsvSource({