[commons-statistics] 03/04: Sonar fix: rename var for temporary variance variables

[aherbert]

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

commit c174f7d350c56c2fd4aa17c2e577f2fd3f326ef3
Author: Alex Herbert <aherb...@apache.org>
AuthorDate: Wed Oct 27 12:43:05 2021 +0100

    Sonar fix: rename var for temporary variance variables
    
    var is a restricted identifier.
---
 .../commons/statistics/distribution/TDistribution.java       |  6 +++---
 .../statistics/distribution/TruncatedNormalDistribution.java | 12 ++++++------
 2 files changed, 9 insertions(+), 9 deletions(-)

diff --git 
a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/TDistribution.java
 
b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/TDistribution.java
index 11dce96..6985dca 100644
--- 
a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/TDistribution.java
+++ 
b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/TDistribution.java
@@ -248,11 +248,11 @@ public abstract class TDistribution extends 
AbstractContinuousDistribution {
         }
         // If the variance converges to 1 use a NormalDistribution.
         // Occurs at 2^55 = 3.60e16
-        final double var = 
StudentsTDistribution.computeVariance(degreesOfFreedom);
-        if (var == 1) {
+        final double variance = 
StudentsTDistribution.computeVariance(degreesOfFreedom);
+        if (variance == 1) {
             return new NormalTDistribution(degreesOfFreedom);
         }
-        return new StudentsTDistribution(degreesOfFreedom, var);
+        return new StudentsTDistribution(degreesOfFreedom, variance);
     }
 
     /**
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 97a781b..a921b81 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
@@ -80,25 +80,25 @@ public final class TruncatedNormalDistribution extends 
AbstractContinuousDistrib
         // lower or upper may be infinite or the density is zero.
 
         double mu;
-        double var;
+        double v;
 
         if (lower == Double.NEGATIVE_INFINITY || pdfAlpha == 0) {
             if (upper == Double.POSITIVE_INFINITY || pdfBeta == 0) {
                 // No truncation
                 mu = mean;
-                var = sd * sd;
+                v = sd * sd;
             } else {
                 // One sided truncation (of upper tail)
                 final double betaRatio = pdfBeta / cdfDelta;
                 mu = mean - sd * betaRatio;
-                var = sd * sd * (1 - beta * betaRatio - betaRatio * betaRatio);
+                v = sd * sd * (1 - beta * betaRatio - betaRatio * betaRatio);
             }
         } else {
             if (upper == Double.POSITIVE_INFINITY || pdfBeta == 0) {
                 // One sided truncation (of lower tail)
                 final double alphaRatio = pdfAlpha / cdfDelta;
                 mu = mean + sd * alphaRatio;
-                var = sd * sd * (1 + alpha * alphaRatio - alphaRatio * 
alphaRatio);
+                v = sd * sd * (1 + alpha * alphaRatio - alphaRatio * 
alphaRatio);
             } else {
                 // Two-sided truncation
                 // Note:
@@ -110,14 +110,14 @@ public final class TruncatedNormalDistribution extends 
AbstractContinuousDistrib
                 final double pdfCdfDelta = (pdfAlpha - pdfBeta) / z;
                 final double alphaBetaDelta = (alpha * pdfAlpha - beta * 
pdfBeta) / z;
                 mu = mean + pdfCdfDelta * sd;
-                var = sd * sd * (1 + alphaBetaDelta - pdfCdfDelta * 
pdfCdfDelta);
+                v = sd * sd * (1 + alphaBetaDelta - pdfCdfDelta * pdfCdfDelta);
             }
         }
 
         // The mean should be clipped to the range [lower, upper].
         // The variance should be less than the variance of the parent normal 
distribution.
         this.mean = clipToRange(mu);
-        variance = Math.min(var, sd * sd);
+        variance = Math.min(v, sd * sd);
     }
 
     /**