[commons-statistics] 05/06: Fixed test for outside support to use density

[aherbert]

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aherbert pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/commons-statistics.git

commit 00a69a30a78e7d73dfea0661cfc8ce349e7d93e4
Author: Alex Herbert <aherb...@apache.org>
AuthorDate: Fri Jul 30 22:56:53 2021 +0100

    Fixed test for outside support to use density
---
 .../statistics/distribution/ContinuousDistributionAbstractTest.java   | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git 
a/commons-statistics-distribution/src/test/java/org/apache/commons/statistics/distribution/ContinuousDistributionAbstractTest.java
 
b/commons-statistics-distribution/src/test/java/org/apache/commons/statistics/distribution/ContinuousDistributionAbstractTest.java
index c714397..f04523e 100644
--- 
a/commons-statistics-distribution/src/test/java/org/apache/commons/statistics/distribution/ContinuousDistributionAbstractTest.java
+++ 
b/commons-statistics-distribution/src/test/java/org/apache/commons/statistics/distribution/ContinuousDistributionAbstractTest.java
@@ -487,7 +487,7 @@ abstract class ContinuousDistributionAbstractTest {
         Assertions.assertEquals(lo, 
distribution.inverseCumulativeProbability(0.0));
 
         final double below = Math.nextDown(lo);
-        Assertions.assertEquals(0.0, distribution.probability(below));
+        Assertions.assertEquals(0.0, distribution.density(below));
         Assertions.assertEquals(Double.NEGATIVE_INFINITY, 
distribution.logDensity(below));
         Assertions.assertEquals(0.0, 
distribution.cumulativeProbability(below));
         Assertions.assertEquals(1.0, distribution.survivalProbability(below));
@@ -497,7 +497,7 @@ abstract class ContinuousDistributionAbstractTest {
         Assertions.assertEquals(hi, 
distribution.inverseCumulativeProbability(1.0));
 
         final double above = Math.nextUp(hi);
-        Assertions.assertEquals(0.0, distribution.probability(above));
+        Assertions.assertEquals(0.0, distribution.density(above));
         Assertions.assertEquals(Double.NEGATIVE_INFINITY, 
distribution.logDensity(above));
         Assertions.assertEquals(1.0, 
distribution.cumulativeProbability(above));
         Assertions.assertEquals(0.0, distribution.survivalProbability(above));