[commons-statistics] 02/04: Sonar fix: rename variable to avoid restricted identifier

[ah...@apache.org]

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

commit 349bbfe9da41444cd191fcc30ad1ae7040db6b57
Author: aherbert <ah...@apache.org>
AuthorDate: Wed May 4 17:30:36 2022 +0100

    Sonar fix: rename variable to avoid restricted identifier
---
 .../statistics/distribution/TruncatedNormalDistribution.java      | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/TruncatedNormalDistribution.java b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/TruncatedNormalDistribution.java
index fa24538..8eb439c 100644
--- a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/TruncatedNormalDistribution.java
+++ b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/TruncatedNormalDistribution.java
@@ -482,21 +482,21 @@ public final class TruncatedNormalDistribution extends AbstractContinuousDistrib
         // variance = m2 - m1*m1
         // rearrange x^2 - y^2 as (x-y)(x+y)
         m2 = Math.sqrt(m2);
-        final double var = (m2 - m1) * (m2 + m1);
+        final double variance = (m2 - m1) * (m2 + m1);
 
         // Detect floating-point error.
-        if (var >= 1) {
+        if (variance >= 1) {
             // Note:
             // Extreme truncations in the tails can compute a variance above 1,
             // for example if m2 is infinite: m2 - m1*m1 > 1
             // Detect no truncation as the terms a and b lie far either side of zero;
             // otherwise return 0 to indicate very small unknown variance.
             return a < -1 && b > 1 ? 1 : 0;
-        } else if (var <= 0) {
+        } else if (variance <= 0) {
             // Floating-point error can create negative variance so return 0.
             return 0;
         }
 
-        return var;
+        return variance;
     }
 }