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new 2651123 Remove redundant initializers.
2651123 is described below
commit 26511237d21026623bc7ff26a1d2e90f16f21325
Author: Arturo Bernal <arturobern...@gmail.com>
AuthorDate: Mon Apr 12 07:45:25 2021 +0200
Remove redundant initializers.
Closes #172.
---
.../math4/distribution/EmpiricalDistribution.java | 8 ++++----
...MultivariateNormalMixtureExpectationMaximization.java | 2 +-
.../commons/math4/genetics/FixedGenerationCount.java | 2 +-
.../apache/commons/math4/genetics/GeneticAlgorithm.java | 2 +-
.../java/org/apache/commons/math4/linear/RealVector.java | 2 +-
.../math4/ml/clustering/MiniBatchKMeansClusterer.java | 2 +-
.../commons/math4/random/HaltonSequenceGenerator.java | 2 +-
.../commons/math4/random/SobolSequenceGenerator.java | 2 +-
.../stat/descriptive/MultivariateSummaryStatistics.java | 2 +-
.../math4/stat/descriptive/SummaryStatistics.java | 2 +-
.../commons/math4/stat/descriptive/moment/Skewness.java | 2 +-
.../math4/stat/descriptive/moment/StandardDeviation.java | 2 +-
.../commons/math4/stat/descriptive/moment/Variance.java | 2 +-
.../math4/stat/descriptive/rank/PSquarePercentile.java | 2 +-
.../regression/AbstractMultipleLinearRegression.java | 2 +-
.../math4/stat/regression/MillerUpdatingRegression.java | 12 ++++++------
.../stat/regression/OLSMultipleLinearRegression.java | 2 +-
.../commons/math4/stat/regression/SimpleRegression.java | 16 ++++++++--------
.../org/apache/commons/math4/util/IntegerSequence.java | 2 +-
.../apache/commons/math4/util/ResizableDoubleArray.java | 4 ++--
.../org/apache/commons/math4/util/TransformerMap.java | 4 ++--
21 files changed, 38 insertions(+), 38 deletions(-)
diff --git
a/src/main/java/org/apache/commons/math4/distribution/EmpiricalDistribution.java
b/src/main/java/org/apache/commons/math4/distribution/EmpiricalDistribution.java
index 34779db..58847eb 100644
---
a/src/main/java/org/apache/commons/math4/distribution/EmpiricalDistribution.java
+++
b/src/main/java/org/apache/commons/math4/distribution/EmpiricalDistribution.java
@@ -117,7 +117,7 @@ public class EmpiricalDistribution extends
AbstractRealDistribution
private final List<SummaryStatistics> binStats;
/** Sample statistics */
- private SummaryStatistics sampleStats = null;
+ private SummaryStatistics sampleStats;
/** Max loaded value */
private double max = Double.NEGATIVE_INFINITY;
@@ -126,16 +126,16 @@ public class EmpiricalDistribution extends
AbstractRealDistribution
private double min = Double.POSITIVE_INFINITY;
/** Grid size */
- private double delta = 0d;
+ private double delta;
/** number of bins */
private final int binCount;
/** is the distribution loaded? */
- private boolean loaded = false;
+ private boolean loaded;
/** upper bounds of subintervals in (0,1) "belonging" to the bins */
- private double[] upperBounds = null;
+ private double[] upperBounds;
/**
* Creates a new EmpiricalDistribution with the default bin count.
diff --git
a/src/main/java/org/apache/commons/math4/distribution/fitting/MultivariateNormalMixtureExpectationMaximization.java
b/src/main/java/org/apache/commons/math4/distribution/fitting/MultivariateNormalMixtureExpectationMaximization.java
index 7a7333b..08cef25 100644
---
a/src/main/java/org/apache/commons/math4/distribution/fitting/MultivariateNormalMixtureExpectationMaximization.java
+++
b/src/main/java/org/apache/commons/math4/distribution/fitting/MultivariateNormalMixtureExpectationMaximization.java
@@ -71,7 +71,7 @@ public class MultivariateNormalMixtureExpectationMaximization
{
/**
* The log likelihood of the data given the fitted model.
*/
- private double logLikelihood = 0d;
+ private double logLikelihood;
/**
* Creates an object to fit a multivariate normal mixture model to data.
diff --git
a/src/main/java/org/apache/commons/math4/genetics/FixedGenerationCount.java
b/src/main/java/org/apache/commons/math4/genetics/FixedGenerationCount.java
index 3c90559..280fe57 100644
--- a/src/main/java/org/apache/commons/math4/genetics/FixedGenerationCount.java
+++ b/src/main/java/org/apache/commons/math4/genetics/FixedGenerationCount.java
@@ -29,7 +29,7 @@ import
org.apache.commons.math4.exception.NumberIsTooSmallException;
*/
public class FixedGenerationCount implements StoppingCondition {
/** Number of generations that have passed */
- private int numGenerations = 0;
+ private int numGenerations;
/** Maximum number of generations (stopping criteria) */
private final int maxGenerations;
diff --git
a/src/main/java/org/apache/commons/math4/genetics/GeneticAlgorithm.java
b/src/main/java/org/apache/commons/math4/genetics/GeneticAlgorithm.java
index 24f1e9f..fbf512d 100644
--- a/src/main/java/org/apache/commons/math4/genetics/GeneticAlgorithm.java
+++ b/src/main/java/org/apache/commons/math4/genetics/GeneticAlgorithm.java
@@ -53,7 +53,7 @@ public class GeneticAlgorithm {
private final SelectionPolicy selectionPolicy;
/** the number of generations evolved to reach {@link StoppingCondition}
in the last run. */
- private int generationsEvolved = 0;
+ private int generationsEvolved;
/**
* Create a new genetic algorithm.
diff --git a/src/main/java/org/apache/commons/math4/linear/RealVector.java
b/src/main/java/org/apache/commons/math4/linear/RealVector.java
index d3e35b8..5290c25 100644
--- a/src/main/java/org/apache/commons/math4/linear/RealVector.java
+++ b/src/main/java/org/apache/commons/math4/linear/RealVector.java
@@ -753,7 +753,7 @@ public abstract class RealVector {
return new Iterator<Entry>() {
/** Current index. */
- private int i = 0;
+ private int i;
/** Current entry. */
private Entry e = new Entry();
diff --git
a/src/main/java/org/apache/commons/math4/ml/clustering/MiniBatchKMeansClusterer.java
b/src/main/java/org/apache/commons/math4/ml/clustering/MiniBatchKMeansClusterer.java
index a563fda..0903ac4 100644
---
a/src/main/java/org/apache/commons/math4/ml/clustering/MiniBatchKMeansClusterer.java
+++
b/src/main/java/org/apache/commons/math4/ml/clustering/MiniBatchKMeansClusterer.java
@@ -254,7 +254,7 @@ public class MiniBatchKMeansClusterer<T extends Clusterable>
/** Minimum value of {@link #ewaInertia} during iteration. */
private double ewaInertiaMin = Double.POSITIVE_INFINITY;
/** Number of iteration during which {@link #ewaInertia} did not
improve. */
- private int noImprovementTimes = 0;
+ private int noImprovementTimes;
/**
* @param batchSize Number of elements for each batch iteration.
diff --git
a/src/main/java/org/apache/commons/math4/random/HaltonSequenceGenerator.java
b/src/main/java/org/apache/commons/math4/random/HaltonSequenceGenerator.java
index efbe21d..c406345 100644
--- a/src/main/java/org/apache/commons/math4/random/HaltonSequenceGenerator.java
+++ b/src/main/java/org/apache/commons/math4/random/HaltonSequenceGenerator.java
@@ -71,7 +71,7 @@ public class HaltonSequenceGenerator implements
RandomVectorGenerator {
private final int dimension;
/** The current index in the sequence. */
- private int count = 0;
+ private int count;
/** The base numbers for each component. */
private final int[] base;
diff --git
a/src/main/java/org/apache/commons/math4/random/SobolSequenceGenerator.java
b/src/main/java/org/apache/commons/math4/random/SobolSequenceGenerator.java
index 8c7221d..d44b44c 100644
--- a/src/main/java/org/apache/commons/math4/random/SobolSequenceGenerator.java
+++ b/src/main/java/org/apache/commons/math4/random/SobolSequenceGenerator.java
@@ -74,7 +74,7 @@ public class SobolSequenceGenerator implements
RandomVectorGenerator {
private final int dimension;
/** The current index in the sequence. */
- private int count = 0;
+ private int count;
/** The direction vector for each component. */
private final long[][] direction;
diff --git
a/src/main/java/org/apache/commons/math4/stat/descriptive/MultivariateSummaryStatistics.java
b/src/main/java/org/apache/commons/math4/stat/descriptive/MultivariateSummaryStatistics.java
index dce9785..7822892 100644
---
a/src/main/java/org/apache/commons/math4/stat/descriptive/MultivariateSummaryStatistics.java
+++
b/src/main/java/org/apache/commons/math4/stat/descriptive/MultivariateSummaryStatistics.java
@@ -78,7 +78,7 @@ public class MultivariateSummaryStatistics
private final int k;
/** Count of values that have been added */
- private long n = 0;
+ private long n;
/** Sum statistic implementation - can be reset by setter. */
private final StorelessUnivariateStatistic[] sumImpl;
diff --git
a/src/main/java/org/apache/commons/math4/stat/descriptive/SummaryStatistics.java
b/src/main/java/org/apache/commons/math4/stat/descriptive/SummaryStatistics.java
index 86c8beb..0771701 100644
---
a/src/main/java/org/apache/commons/math4/stat/descriptive/SummaryStatistics.java
+++
b/src/main/java/org/apache/commons/math4/stat/descriptive/SummaryStatistics.java
@@ -63,7 +63,7 @@ public class SummaryStatistics implements StatisticalSummary,
Serializable {
private static final long serialVersionUID = -2021321786743555871L;
/** count of values that have been added */
- private long n = 0;
+ private long n;
/** SecondMoment is used to compute the mean and variance */
private SecondMoment secondMoment = new SecondMoment();
diff --git
a/src/main/java/org/apache/commons/math4/stat/descriptive/moment/Skewness.java
b/src/main/java/org/apache/commons/math4/stat/descriptive/moment/Skewness.java
index 3fcd4be..ccdb32d 100644
---
a/src/main/java/org/apache/commons/math4/stat/descriptive/moment/Skewness.java
+++
b/src/main/java/org/apache/commons/math4/stat/descriptive/moment/Skewness.java
@@ -51,7 +51,7 @@ public class Skewness extends
AbstractStorelessUnivariateStatistic implements Se
private static final long serialVersionUID = 20150412L;
/** Third moment on which this statistic is based */
- protected ThirdMoment moment = null;
+ protected ThirdMoment moment;
/**
* Determines whether or not this statistic can be incremented or cleared.
diff --git
a/src/main/java/org/apache/commons/math4/stat/descriptive/moment/StandardDeviation.java
b/src/main/java/org/apache/commons/math4/stat/descriptive/moment/StandardDeviation.java
index d2f5e8b..bdebb4a 100644
---
a/src/main/java/org/apache/commons/math4/stat/descriptive/moment/StandardDeviation.java
+++
b/src/main/java/org/apache/commons/math4/stat/descriptive/moment/StandardDeviation.java
@@ -46,7 +46,7 @@ public class StandardDeviation extends
AbstractStorelessUnivariateStatistic
private static final long serialVersionUID = 20150412L;
/** Wrapped Variance instance */
- private Variance variance = null;
+ private Variance variance;
/**
* Constructs a StandardDeviation. Sets the underlying {@link Variance}
diff --git
a/src/main/java/org/apache/commons/math4/stat/descriptive/moment/Variance.java
b/src/main/java/org/apache/commons/math4/stat/descriptive/moment/Variance.java
index fcfb798..ece6702 100644
---
a/src/main/java/org/apache/commons/math4/stat/descriptive/moment/Variance.java
+++
b/src/main/java/org/apache/commons/math4/stat/descriptive/moment/Variance.java
@@ -72,7 +72,7 @@ public class Variance extends
AbstractStorelessUnivariateStatistic implements Se
private static final long serialVersionUID = 20150412L;
/** SecondMoment is used in incremental calculation of Variance*/
- protected SecondMoment moment = null;
+ protected SecondMoment moment;
/**
* Whether or not {@link #increment(double)} should increment
diff --git
a/src/main/java/org/apache/commons/math4/stat/descriptive/rank/PSquarePercentile.java
b/src/main/java/org/apache/commons/math4/stat/descriptive/rank/PSquarePercentile.java
index 4a027c6..e0381ed 100644
---
a/src/main/java/org/apache/commons/math4/stat/descriptive/rank/PSquarePercentile.java
+++
b/src/main/java/org/apache/commons/math4/stat/descriptive/rank/PSquarePercentile.java
@@ -99,7 +99,7 @@ public class PSquarePercentile extends
AbstractStorelessUnivariateStatistic
* Markers is the marker collection object which comes to effect
* only after 5 values are inserted
*/
- private PSquareMarkers markers = null;
+ private PSquareMarkers markers;
/**
* Computed p value (i,e percentile value of data set hither to received)
diff --git
a/src/main/java/org/apache/commons/math4/stat/regression/AbstractMultipleLinearRegression.java
b/src/main/java/org/apache/commons/math4/stat/regression/AbstractMultipleLinearRegression.java
index f7563ca..9cdaf24 100644
---
a/src/main/java/org/apache/commons/math4/stat/regression/AbstractMultipleLinearRegression.java
+++
b/src/main/java/org/apache/commons/math4/stat/regression/AbstractMultipleLinearRegression.java
@@ -44,7 +44,7 @@ public abstract class AbstractMultipleLinearRegression
implements
private RealVector yVector;
/** Whether or not the regression model includes an intercept. True means
no intercept. */
- private boolean noIntercept = false;
+ private boolean noIntercept;
/**
* @return the X sample data.
diff --git
a/src/main/java/org/apache/commons/math4/stat/regression/MillerUpdatingRegression.java
b/src/main/java/org/apache/commons/math4/stat/regression/MillerUpdatingRegression.java
index c35d629..b202095 100644
---
a/src/main/java/org/apache/commons/math4/stat/regression/MillerUpdatingRegression.java
+++
b/src/main/java/org/apache/commons/math4/stat/regression/MillerUpdatingRegression.java
@@ -58,13 +58,13 @@ public class MillerUpdatingRegression implements
UpdatingMultipleLinearRegressio
/** scratch space for tolerance calc */
private final double[] work_tolset;
/** number of observations entered */
- private long nobs = 0;
+ private long nobs;
/** sum of squared errors of largest regression */
- private double sserr = 0.0;
+ private double sserr;
/** has rss been called? */
- private boolean rss_set = false;
+ private boolean rss_set;
/** has the tolerance setting method been called */
- private boolean tol_set = false;
+ private boolean tol_set;
/** flags for variables with linear dependency problems */
private final boolean[] lindep;
/** singular x values */
@@ -72,9 +72,9 @@ public class MillerUpdatingRegression implements
UpdatingMultipleLinearRegressio
/** workspace for singularity method */
private final double[] work_sing;
/** summation of Y variable */
- private double sumy = 0.0;
+ private double sumy;
/** summation of squared Y values */
- private double sumsqy = 0.0;
+ private double sumsqy;
/** boolean flag whether a regression constant is added */
private final boolean hasIntercept;
/** zero tolerance */
diff --git
a/src/main/java/org/apache/commons/math4/stat/regression/OLSMultipleLinearRegression.java
b/src/main/java/org/apache/commons/math4/stat/regression/OLSMultipleLinearRegression.java
index 637e4fe..74f4cc4 100644
---
a/src/main/java/org/apache/commons/math4/stat/regression/OLSMultipleLinearRegression.java
+++
b/src/main/java/org/apache/commons/math4/stat/regression/OLSMultipleLinearRegression.java
@@ -54,7 +54,7 @@ import
org.apache.commons.math4.stat.descriptive.moment.SecondMoment;
public class OLSMultipleLinearRegression extends
AbstractMultipleLinearRegression {
/** Cached QR decomposition of X matrix */
- private QRDecomposition qr = null;
+ private QRDecomposition qr;
/** Singularity threshold for QR decomposition */
private final double threshold;
diff --git
a/src/main/java/org/apache/commons/math4/stat/regression/SimpleRegression.java
b/src/main/java/org/apache/commons/math4/stat/regression/SimpleRegression.java
index a002f9c..e3cc8b8 100644
---
a/src/main/java/org/apache/commons/math4/stat/regression/SimpleRegression.java
+++
b/src/main/java/org/apache/commons/math4/stat/regression/SimpleRegression.java
@@ -66,28 +66,28 @@ public class SimpleRegression implements Serializable,
UpdatingMultipleLinearReg
private static final long serialVersionUID = -3004689053607543335L;
/** sum of x values */
- private double sumX = 0d;
+ private double sumX;
/** total variation in x (sum of squared deviations from xbar) */
- private double sumXX = 0d;
+ private double sumXX;
/** sum of y values */
- private double sumY = 0d;
+ private double sumY;
/** total variation in y (sum of squared deviations from ybar) */
- private double sumYY = 0d;
+ private double sumYY;
/** sum of products */
- private double sumXY = 0d;
+ private double sumXY;
/** number of observations */
- private long n = 0;
+ private long n;
/** mean of accumulated x values, used in updating formulas */
- private double xbar = 0;
+ private double xbar;
/** mean of accumulated y values, used in updating formulas */
- private double ybar = 0;
+ private double ybar;
/** include an intercept or not */
private final boolean hasIntercept;
diff --git a/src/main/java/org/apache/commons/math4/util/IntegerSequence.java
b/src/main/java/org/apache/commons/math4/util/IntegerSequence.java
index 711008e..ba8786e 100644
--- a/src/main/java/org/apache/commons/math4/util/IntegerSequence.java
+++ b/src/main/java/org/apache/commons/math4/util/IntegerSequence.java
@@ -148,7 +148,7 @@ public class IntegerSequence {
/** Function called at counter exhaustion. */
private final MaxCountExceededCallback maxCountCallback;
/** Current count. */
- private int count = 0;
+ private int count;
/**
* Defines a method to be called at counter exhaustion.
diff --git
a/src/main/java/org/apache/commons/math4/util/ResizableDoubleArray.java
b/src/main/java/org/apache/commons/math4/util/ResizableDoubleArray.java
index 60f187f..2c0ba3b 100644
--- a/src/main/java/org/apache/commons/math4/util/ResizableDoubleArray.java
+++ b/src/main/java/org/apache/commons/math4/util/ResizableDoubleArray.java
@@ -120,14 +120,14 @@ public class ResizableDoubleArray implements DoubleArray,
Serializable {
* The number of addressable elements in the array. Note that this
* has nothing to do with the length of the internal storage array.
*/
- private int numElements = 0;
+ private int numElements;
/**
* The position of the first addressable element in the internal storage
* array. The addressable elements in the array are
* {@code internalArray[startIndex],...,internalArray[startIndex +
numElements - 1]}.
*/
- private int startIndex = 0;
+ private int startIndex;
/**
* Specification of expansion algorithm.
diff --git a/src/main/java/org/apache/commons/math4/util/TransformerMap.java
b/src/main/java/org/apache/commons/math4/util/TransformerMap.java
index 78bb86c..dc96bbf 100644
--- a/src/main/java/org/apache/commons/math4/util/TransformerMap.java
+++ b/src/main/java/org/apache/commons/math4/util/TransformerMap.java
@@ -38,12 +38,12 @@ public class TransformerMap implements NumberTransformer,
Serializable {
/**
* A default Number Transformer for Numbers and numeric Strings.
*/
- private NumberTransformer defaultTransformer = null;
+ private NumberTransformer defaultTransformer;
/**
* The internal Map.
*/
- private Map<Class<?>, NumberTransformer> map = null;
+ private Map<Class<?>, NumberTransformer> map;
/**
* Build a map containing only the default transformer.
