MATH-1594: Remove "Serializable".

commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/distribution/AbstractIntegerDistribution.java

@@ -16,8 +16,6 @@
  */
 package org.apache.commons.math4.legacy.distribution;
 
-import java.io.Serializable;
-
 import org.apache.commons.statistics.distribution.DiscreteDistribution;
 import org.apache.commons.math4.legacy.exception.MathInternalError;
 import org.apache.commons.math4.legacy.exception.NumberIsTooLargeException;
@@ -35,10 +33,8 @@ import org.apache.commons.math4.legacy.core.jdkmath.AccurateMath;
  * from distribution to distribution.
  *
  */
-public abstract class AbstractIntegerDistribution implements DiscreteDistribution, Serializable {
+public abstract class AbstractIntegerDistribution
-    /** Serializable version identifier */
+    implements DiscreteDistribution {
-    private static final long serialVersionUID = 20160318L;
-
     /**
      * {@inheritDoc}
      *

commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/distribution/AbstractRealDistribution.java

@@ -16,8 +16,6 @@
  */
 package org.apache.commons.math4.legacy.distribution;
 
-import java.io.Serializable;
-
 import org.apache.commons.statistics.distribution.ContinuousDistribution;
 import org.apache.commons.math4.legacy.analysis.UnivariateFunction;
 import org.apache.commons.math4.legacy.analysis.solvers.UnivariateSolverUtils;
@@ -47,12 +45,9 @@ import org.apache.commons.math4.legacy.core.jdkmath.AccurateMath;
  * @since 3.0
  */
 public abstract class AbstractRealDistribution
-    implements ContinuousDistribution,
+    implements ContinuousDistribution {
-               Serializable {
     /** Default absolute accuracy for inverse cumulative computation. */
     public static final double SOLVER_DEFAULT_ABSOLUTE_ACCURACY = 1e-6;
-    /** Serializable version identifier */
-    private static final long serialVersionUID = 20160311L;
 
     /**
      * For a random variable {@code X} whose values are distributed according

commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/distribution/EnumeratedDistribution.java

@@ -16,7 +16,6 @@
  */
 package org.apache.commons.math4.legacy.distribution;
 
-import java.io.Serializable;
 import java.lang.reflect.Array;
 import java.util.ArrayList;
 import java.util.List;
@@ -50,9 +49,7 @@ import org.apache.commons.math4.legacy.core.Pair;
  * @param <T> type of the elements in the sample space.
  * @since 3.2
  */
-public class EnumeratedDistribution<T> implements Serializable {
+public class EnumeratedDistribution<T> {
-    /** Serializable UID. */
-    private static final long serialVersionUID = 20160319L;
     /**
      * List of random variable values.
      */

commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/distribution/EnumeratedIntegerDistribution.java

@@ -42,8 +42,6 @@ import org.apache.commons.math4.legacy.core.Pair;
  * @since 3.2
  */
 public class EnumeratedIntegerDistribution extends AbstractIntegerDistribution {
-    /** Serializable UID. */
-    private static final long serialVersionUID = 20130308L;
     /**
      * {@link EnumeratedDistribution} instance (using the {@link Integer} wrapper)
      * used to generate the pmf.

commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/distribution/EnumeratedRealDistribution.java

@@ -21,7 +21,6 @@ import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
 import java.util.Map.Entry;
-import java.io.Serializable;
 
 import org.apache.commons.statistics.distribution.ContinuousDistribution;
 import org.apache.commons.math4.legacy.exception.DimensionMismatchException;
@@ -44,11 +43,7 @@ import org.apache.commons.math4.legacy.core.Pair;
  * @since 3.2
  */
 public class EnumeratedRealDistribution
-    implements ContinuousDistribution,
+    implements ContinuousDistribution {
-               Serializable {
-    /** Serializable UID. */
-    private static final long serialVersionUID = 20160311L;
-
     /**
      * {@link EnumeratedDistribution} (using the {@link Double} wrapper)
      * used to generate the pmf.

commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/distribution/EmpiricalDistributionTest.java

@@ -345,19 +345,6 @@ public final class EmpiricalDistributionTest extends RealDistributionAbstractTes
         new EmpiricalDistribution().load(x);
     }
 
-    @Test
-    public void testSerialization() {
-        // Empty
-        EmpiricalDistribution dist = new EmpiricalDistribution();
-        EmpiricalDistribution dist2 = (EmpiricalDistribution) TestUtils.serializeAndRecover(dist);
-        verifySame(dist, dist2);
-
-        // Loaded
-        empiricalDistribution2.load(dataArray);
-        dist2 = (EmpiricalDistribution) TestUtils.serializeAndRecover(empiricalDistribution2);
-        verifySame(empiricalDistribution2, dist2);
-    }
-
     @Test(expected=NullArgumentException.class)
     public void testLoadNullDoubleArray() {
        new EmpiricalDistribution().load((double[]) null);

commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/distribution/RealDistributionAbstractTest.java

@@ -379,26 +379,6 @@ public abstract class RealDistributionAbstractTest {
         }
     }
 
-    @Test
-    public void testDistributionClone()
-        throws IOException,
-               ClassNotFoundException {
-        // Construct a distribution and initialize its internal random
-        // generator, using a fixed seed for deterministic results.
-        final long seed = 123;
-        RandomSource source = RandomSource.WELL_512_A;
-        ContinuousDistribution.Sampler origSampler = distribution.createSampler(RandomSource.create(source, seed));
-
-        // Clone the distribution.
-        final ContinuousDistribution cloned = deepClone();
-        ContinuousDistribution.Sampler clonedSampler = cloned.createSampler(RandomSource.create(source, seed));
-
-        // Make sure they still produce the same samples.
-        Assert.assertEquals(origSampler.sample(),
-                            clonedSampler.sample(),
-                            0d);
-    }
-
     //------------------ Getters / Setters for test instance data -----------
     /**
      * @return Returns the cumulativeTestPoints.