chore: fmt

trinity-xai · Jun 26, 2024 · 5615ea9 · 5615ea9
1 parent 7e006f3
commit 5615ea9
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diff --git a/src/main/java/com/clust4j/GlobalState.java b/src/main/java/com/clust4j/GlobalState.java
@@ -15,11 +15,11 @@
  *******************************************************************************/
 package com.clust4j;
 
+import org.apache.commons.math3.util.FastMath;
+
 import java.util.Random;
 import java.util.concurrent.ForkJoinPool;
 
-import org.apache.commons.math3.util.FastMath;
-
 /**
  * A set of global config values used in multiple classes. Some values may
  * be set to the user's preference, while others are final.

diff --git a/src/main/java/com/clust4j/algo/AbstractAutonomousClusterer.java b/src/main/java/com/clust4j/algo/AbstractAutonomousClusterer.java
@@ -15,9 +15,8 @@
  *******************************************************************************/
 package com.clust4j.algo;
 
-import org.apache.commons.math3.linear.RealMatrix;
-
 import com.clust4j.metrics.scoring.SupervisedMetric;
+import org.apache.commons.math3.linear.RealMatrix;
 
 import static com.clust4j.metrics.scoring.UnsupervisedMetric.SILHOUETTE;
 

diff --git a/src/main/java/com/clust4j/algo/AbstractCentroidClusterer.java b/src/main/java/com/clust4j/algo/AbstractCentroidClusterer.java
@@ -15,14 +15,6 @@
  *******************************************************************************/
 package com.clust4j.algo;
 
-import java.util.ArrayList;
-import java.util.HashSet;
-import java.util.Random;
-
-import org.apache.commons.math3.exception.DimensionMismatchException;
-import org.apache.commons.math3.linear.RealMatrix;
-import org.apache.commons.math3.util.FastMath;
-
 import com.clust4j.NamedEntity;
 import com.clust4j.kernel.Kernel;
 import com.clust4j.log.LogTimer;
@@ -31,6 +23,13 @@
 import com.clust4j.metrics.scoring.SupervisedMetric;
 import com.clust4j.utils.MatUtils;
 import com.clust4j.utils.VecUtils;
+import org.apache.commons.math3.exception.DimensionMismatchException;
+import org.apache.commons.math3.linear.RealMatrix;
+import org.apache.commons.math3.util.FastMath;
+
+import java.util.ArrayList;
+import java.util.HashSet;
+import java.util.Random;
 
 import static com.clust4j.metrics.scoring.UnsupervisedMetric.SILHOUETTE;
 

diff --git a/src/main/java/com/clust4j/algo/AbstractClusterer.java b/src/main/java/com/clust4j/algo/AbstractClusterer.java
@@ -16,16 +16,6 @@
 
 package com.clust4j.algo;
 
-import java.util.ArrayList;
-import java.util.Collection;
-import java.util.HashSet;
-import java.util.Random;
-import java.util.UUID;
-
-import org.apache.commons.math3.linear.Array2DRowRealMatrix;
-import org.apache.commons.math3.linear.RealMatrix;
-import org.apache.commons.math3.util.FastMath;
-
 import com.clust4j.GlobalState;
 import com.clust4j.NamedEntity;
 import com.clust4j.except.ModelNotFitException;
@@ -41,6 +31,15 @@
 import com.clust4j.utils.MatUtils;
 import com.clust4j.utils.TableFormatter.Table;
 import com.clust4j.utils.VecUtils;
+import org.apache.commons.math3.linear.Array2DRowRealMatrix;
+import org.apache.commons.math3.linear.RealMatrix;
+import org.apache.commons.math3.util.FastMath;
+
+import java.util.ArrayList;
+import java.util.Collection;
+import java.util.HashSet;
+import java.util.Random;
+import java.util.UUID;
 
 /**
  * The highest level of cluster abstraction in clust4j, AbstractClusterer

diff --git a/src/main/java/com/clust4j/algo/AbstractDensityClusterer.java b/src/main/java/com/clust4j/algo/AbstractDensityClusterer.java
@@ -15,9 +15,8 @@
  *******************************************************************************/
 package com.clust4j.algo;
 
-import org.apache.commons.math3.linear.RealMatrix;
-
 import com.clust4j.metrics.pairwise.SimilarityMetric;
+import org.apache.commons.math3.linear.RealMatrix;
 
 public abstract class AbstractDensityClusterer extends AbstractAutonomousClusterer {
     /**

diff --git a/src/main/java/com/clust4j/algo/AffinityPropagation.java b/src/main/java/com/clust4j/algo/AffinityPropagation.java
@@ -15,21 +15,20 @@
  *******************************************************************************/
 package com.clust4j.algo;
 
-import java.util.ArrayList;
-import java.util.HashSet;
-import java.util.Random;
-
-import org.apache.commons.math3.linear.RealMatrix;
-import org.apache.commons.math3.util.FastMath;
-
 import com.clust4j.GlobalState;
 import com.clust4j.except.ModelNotFitException;
-import com.clust4j.log.LogTimer;
 import com.clust4j.log.Log.Tag.Algo;
+import com.clust4j.log.LogTimer;
 import com.clust4j.metrics.pairwise.GeometricallySeparable;
 import com.clust4j.utils.MatUtils;
-import com.clust4j.utils.VecUtils;
 import com.clust4j.utils.MatUtils.Axis;
+import com.clust4j.utils.VecUtils;
+import org.apache.commons.math3.linear.RealMatrix;
+import org.apache.commons.math3.util.FastMath;
+
+import java.util.ArrayList;
+import java.util.HashSet;
+import java.util.Random;
 
 /**
  * <a href="https://en.wikipedia.org/wiki/Affinity_propagation">Affinity Propagation</a> (AP)

diff --git a/src/main/java/com/clust4j/algo/AffinityPropagationParameters.java b/src/main/java/com/clust4j/algo/AffinityPropagationParameters.java
@@ -16,11 +16,10 @@
 
 package com.clust4j.algo;
 
-import java.util.Random;
-
+import com.clust4j.metrics.pairwise.GeometricallySeparable;
 import org.apache.commons.math3.linear.RealMatrix;
 
-import com.clust4j.metrics.pairwise.GeometricallySeparable;
+import java.util.Random;
 
 /**
  * A model setup class for {@link AffinityPropagation}. This class houses all

diff --git a/src/main/java/com/clust4j/algo/BallTree.java b/src/main/java/com/clust4j/algo/BallTree.java
@@ -15,17 +15,16 @@
  *******************************************************************************/
 package com.clust4j.algo;
 
-import java.util.HashSet;
-
-import org.apache.commons.math3.linear.RealMatrix;
-import org.apache.commons.math3.linear.Array2DRowRealMatrix;
-import org.apache.commons.math3.util.FastMath;
-
 import com.clust4j.log.Loggable;
 import com.clust4j.metrics.pairwise.Distance;
 import com.clust4j.metrics.pairwise.DistanceMetric;
 import com.clust4j.metrics.pairwise.GeometricallySeparable;
 import com.clust4j.metrics.pairwise.MinkowskiDistance;
+import org.apache.commons.math3.linear.Array2DRowRealMatrix;
+import org.apache.commons.math3.linear.RealMatrix;
+import org.apache.commons.math3.util.FastMath;
+
+import java.util.HashSet;
 
 /**
  * In computer science, a ball tree, balltree or metric tree,

diff --git a/src/main/java/com/clust4j/algo/BaseClassifier.java b/src/main/java/com/clust4j/algo/BaseClassifier.java
@@ -15,10 +15,9 @@
  *******************************************************************************/
 package com.clust4j.algo;
 
-import org.apache.commons.math3.linear.RealMatrix;
-
 import com.clust4j.metrics.scoring.SupervisedMetric;
 import com.clust4j.metrics.scoring.UnsupervisedMetric;
+import org.apache.commons.math3.linear.RealMatrix;
 
 import static com.clust4j.metrics.scoring.UnsupervisedMetric.SILHOUETTE;
 

diff --git a/src/main/java/com/clust4j/algo/BaseClustererParameters.java b/src/main/java/com/clust4j/algo/BaseClustererParameters.java
@@ -16,12 +16,12 @@
 
 package com.clust4j.algo;
 
-import java.util.Random;
-
 import com.clust4j.Clust4j;
 import com.clust4j.metrics.pairwise.GeometricallySeparable;
 import com.clust4j.utils.DeepCloneable;
 
+import java.util.Random;
+
 /**
  * Base planner class many clustering algorithms
  * will extend with static inner classes. Some clustering

diff --git a/src/main/java/com/clust4j/algo/BaseModel.java b/src/main/java/com/clust4j/algo/BaseModel.java
@@ -15,12 +15,12 @@
  *******************************************************************************/
 package com.clust4j.algo;
 
-import java.text.NumberFormat;
-
 import com.clust4j.Clust4j;
 import com.clust4j.utils.SynchronicityLock;
 import com.clust4j.utils.TableFormatter;
 
+import java.text.NumberFormat;
+
 abstract public class BaseModel extends Clust4j implements java.io.Serializable {
     private static final long serialVersionUID = 4707757741169405063L;
     public final static TableFormatter formatter;

diff --git a/src/main/java/com/clust4j/algo/BaseNeighborsModel.java b/src/main/java/com/clust4j/algo/BaseNeighborsModel.java
@@ -15,13 +15,11 @@
  *******************************************************************************/
 package com.clust4j.algo;
 
-import org.apache.commons.math3.linear.RealMatrix;
-
 import com.clust4j.GlobalState;
-import com.clust4j.algo.Neighborhood;
 import com.clust4j.except.ModelNotFitException;
 import com.clust4j.metrics.pairwise.DistanceMetric;
 import com.clust4j.metrics.pairwise.GeometricallySeparable;
+import org.apache.commons.math3.linear.RealMatrix;
 
 abstract public class BaseNeighborsModel extends AbstractClusterer {
     private static final long serialVersionUID = 1054047329248586585L;

diff --git a/src/main/java/com/clust4j/algo/BoruvkaAlgorithm.java b/src/main/java/com/clust4j/algo/BoruvkaAlgorithm.java
@@ -15,16 +15,14 @@
  *******************************************************************************/
 package com.clust4j.algo;
 
-import org.apache.commons.math3.linear.Array2DRowRealMatrix;
-import org.apache.commons.math3.util.FastMath;
-
-import com.clust4j.algo.Neighborhood;
 import com.clust4j.algo.NearestNeighborHeapSearch.NodeData;
 import com.clust4j.log.LogTimer;
 import com.clust4j.log.Loggable;
 import com.clust4j.metrics.pairwise.DistanceMetric;
 import com.clust4j.metrics.pairwise.Pairwise;
 import com.clust4j.utils.VecUtils;
+import org.apache.commons.math3.linear.Array2DRowRealMatrix;
+import org.apache.commons.math3.util.FastMath;
 
 /**
  * A graph traversal algorithm used in identifying the minimum spanning tree

diff --git a/src/main/java/com/clust4j/algo/CentroidClustererParameters.java b/src/main/java/com/clust4j/algo/CentroidClustererParameters.java
@@ -16,9 +16,8 @@
 
 package com.clust4j.algo;
 
-import org.apache.commons.math3.linear.RealMatrix;
-
 import com.clust4j.algo.AbstractCentroidClusterer.InitializationStrategy;
+import org.apache.commons.math3.linear.RealMatrix;
 
 public abstract class CentroidClustererParameters<T extends AbstractCentroidClusterer> extends BaseClustererParameters
     implements UnsupervisedClassifierParameters<T>, ConvergeablePlanner {

diff --git a/src/main/java/com/clust4j/algo/CentroidLearner.java b/src/main/java/com/clust4j/algo/CentroidLearner.java
@@ -15,13 +15,12 @@
  *******************************************************************************/
 package com.clust4j.algo;
 
-import java.util.ArrayList;
-import java.util.Collection;
-
-import org.apache.commons.math3.linear.RealMatrix;
+import com.clust4j.except.ModelNotFitException;
 import org.apache.commons.math3.linear.Array2DRowRealMatrix;
+import org.apache.commons.math3.linear.RealMatrix;
 
-import com.clust4j.except.ModelNotFitException;
+import java.util.ArrayList;
+import java.util.Collection;
 
 public interface CentroidLearner extends java.io.Serializable {
     /**

diff --git a/src/main/java/com/clust4j/algo/DBSCAN.java b/src/main/java/com/clust4j/algo/DBSCAN.java
@@ -15,19 +15,17 @@
  *******************************************************************************/
 package com.clust4j.algo;
 
-import java.util.ArrayList;
-import java.util.HashSet;
-import java.util.Stack;
-
-import org.apache.commons.math3.exception.DimensionMismatchException;
-import org.apache.commons.math3.linear.RealMatrix;
-
-import com.clust4j.algo.RadiusNeighborsParameters;
-import com.clust4j.log.LogTimer;
 import com.clust4j.log.Log.Tag.Algo;
+import com.clust4j.log.LogTimer;
 import com.clust4j.metrics.pairwise.GeometricallySeparable;
 import com.clust4j.metrics.pairwise.SimilarityMetric;
 import com.clust4j.utils.MatUtils;
+import org.apache.commons.math3.exception.DimensionMismatchException;
+import org.apache.commons.math3.linear.RealMatrix;
+
+import java.util.ArrayList;
+import java.util.HashSet;
+import java.util.Stack;
 
 
 /**

diff --git a/src/main/java/com/clust4j/algo/DBSCANParameters.java b/src/main/java/com/clust4j/algo/DBSCANParameters.java
@@ -16,12 +16,11 @@
 
 package com.clust4j.algo;
 
-import java.util.Random;
-
-import org.apache.commons.math3.linear.RealMatrix;
-
 import com.clust4j.algo.AbstractDBSCAN.AbstractDBSCANParameters;
 import com.clust4j.metrics.pairwise.GeometricallySeparable;
+import org.apache.commons.math3.linear.RealMatrix;
+
+import java.util.Random;
 
 /**
  * A builder class to provide an easier constructing

diff --git a/src/main/java/com/clust4j/algo/HDBSCAN.java b/src/main/java/com/clust4j/algo/HDBSCAN.java
@@ -15,37 +15,35 @@
  *******************************************************************************/
 package com.clust4j.algo;
 
-import java.util.ArrayList;
-import java.util.Arrays;
-import java.util.Collection;
-import java.util.Collections;
-import java.util.Comparator;
-import java.util.HashSet;
-import java.util.Map;
-import java.util.Set;
-import java.util.TreeMap;
-
-import org.apache.commons.math3.exception.DimensionMismatchException;
-import org.apache.commons.math3.linear.RealMatrix;
-import org.apache.commons.math3.util.FastMath;
-import org.apache.commons.math3.util.Precision;
-
 import com.clust4j.GlobalState;
-import com.clust4j.utils.QuadTup;
-import com.clust4j.algo.Neighborhood;
+import com.clust4j.log.Log.Tag.Algo;
 import com.clust4j.log.LogTimer;
 import com.clust4j.log.Loggable;
-import com.clust4j.log.Log.Tag.Algo;
 import com.clust4j.metrics.pairwise.Distance;
 import com.clust4j.metrics.pairwise.DistanceMetric;
 import com.clust4j.metrics.pairwise.GeometricallySeparable;
 import com.clust4j.metrics.pairwise.Pairwise;
 import com.clust4j.utils.EntryPair;
-import com.clust4j.utils.Series.Inequality;
 import com.clust4j.utils.MatUtils;
 import com.clust4j.utils.MatUtils.MatSeries;
+import com.clust4j.utils.QuadTup;
+import com.clust4j.utils.Series.Inequality;
 import com.clust4j.utils.VecUtils;
 import com.clust4j.utils.VecUtils.DoubleSeries;
+import org.apache.commons.math3.exception.DimensionMismatchException;
+import org.apache.commons.math3.linear.RealMatrix;
+import org.apache.commons.math3.util.FastMath;
+import org.apache.commons.math3.util.Precision;
+
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.Collection;
+import java.util.Collections;
+import java.util.Comparator;
+import java.util.HashSet;
+import java.util.Map;
+import java.util.Set;
+import java.util.TreeMap;
 
 /**
  * Hierarchical Density-Based Spatial Clustering of Applications with Noise.

diff --git a/src/main/java/com/clust4j/algo/HDBSCANParameters.java b/src/main/java/com/clust4j/algo/HDBSCANParameters.java
@@ -16,13 +16,12 @@
 
 package com.clust4j.algo;
 
-import java.util.Random;
-
-import org.apache.commons.math3.linear.RealMatrix;
-
 import com.clust4j.algo.AbstractDBSCAN.AbstractDBSCANParameters;
 import com.clust4j.algo.HDBSCAN.HDBSCAN_Algorithm;
 import com.clust4j.metrics.pairwise.GeometricallySeparable;
+import org.apache.commons.math3.linear.RealMatrix;
+
+import java.util.Random;
 
 /**
  * A builder class to provide an easier constructing