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Posted to commits@commons.apache.org by ah...@apache.org on 2021/09/20 17:07:55 UTC
[commons-statistics] 07/13: Use ParameterizedTest for addition
Cauchy test cases
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 3809a28b7da3520d1425aec73e993e68a5625abf
Author: aherbert <ah...@apache.org>
AuthorDate: Mon Sep 20 15:08:42 2021 +0100
Use ParameterizedTest for addition Cauchy test cases
---
.../distribution/CauchyDistributionTest.java | 48 ++++++++++++----------
1 file changed, 26 insertions(+), 22 deletions(-)
diff --git a/commons-statistics-distribution/src/test/java/org/apache/commons/statistics/distribution/CauchyDistributionTest.java b/commons-statistics-distribution/src/test/java/org/apache/commons/statistics/distribution/CauchyDistributionTest.java
index 7b6835b..74f8a2f 100644
--- a/commons-statistics-distribution/src/test/java/org/apache/commons/statistics/distribution/CauchyDistributionTest.java
+++ b/commons-statistics-distribution/src/test/java/org/apache/commons/statistics/distribution/CauchyDistributionTest.java
@@ -20,6 +20,8 @@ package org.apache.commons.statistics.distribution;
import org.junit.jupiter.api.Assertions;
import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.Test;
+import org.junit.jupiter.params.ParameterizedTest;
+import org.junit.jupiter.params.provider.CsvSource;
/**
* Test cases for CauchyDistribution.
@@ -94,32 +96,34 @@ class CauchyDistributionTest extends ContinuousDistributionAbstractTest {
verifyInverseCumulativeProbabilities();
}
- @Test
- void testParameterAccessors() {
- final CauchyDistribution dist = makeDistribution();
- Assertions.assertEquals(1.2, dist.getLocation());
- Assertions.assertEquals(2.1, dist.getScale());
+ @ParameterizedTest
+ @CsvSource({
+ "1.2, 2.1",
+ "0, 1",
+ "-3, 2",
+ })
+ void testParameterAccessors(double location, double scale) {
+ final CauchyDistribution dist = new CauchyDistribution(location, scale);
+ Assertions.assertEquals(location, dist.getLocation());
+ Assertions.assertEquals(scale, dist.getScale());
}
- @Test
- void testConstructorPrecondition1() {
- Assertions.assertThrows(DistributionException.class, () -> new CauchyDistribution(0, 0));
- }
-
- @Test
- void testConstructorPrecondition2() {
- Assertions.assertThrows(DistributionException.class, () -> new CauchyDistribution(0, -1));
+ @ParameterizedTest
+ @CsvSource({
+ "0, 0",
+ "0, -1",
+ })
+ void testConstructorPreconditions(double location, double scale) {
+ Assertions.assertThrows(DistributionException.class, () -> new CauchyDistribution(location, scale));
}
- @Test
- void testMoments() {
- CauchyDistribution dist;
-
- dist = new CauchyDistribution(10.2, 0.15);
- Assertions.assertTrue(Double.isNaN(dist.getMean()));
- Assertions.assertTrue(Double.isNaN(dist.getVariance()));
-
- dist = new CauchyDistribution(23.12, 2.12);
+ @ParameterizedTest
+ @CsvSource({
+ "10.2, 0.15",
+ "23.12, 2.12",
+ })
+ void testMoments(double location, double scale) {
+ final CauchyDistribution dist = new CauchyDistribution(location, scale);
Assertions.assertTrue(Double.isNaN(dist.getMean()));
Assertions.assertTrue(Double.isNaN(dist.getVariance()));
}