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removed serialVersionUID for non-serializable classes.

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git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@1141890 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Luc Maisonobe 2011-07-01 09:33:55 +00:00
parent e41aa31c43
commit d78c757aa9
24 changed files with 3 additions and 56 deletions
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1
src/test/java/org/apache/commons/math/ode/ContinuousOutputModelTest.java
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@ -90,7 +90,6 @@ public class ContinuousOutputModelTest {
// theoretical solution: y[0] = cos(t), y[1] = sin(t)
FirstOrderDifferentialEquations problem =
new FirstOrderDifferentialEquations() {
private static final long serialVersionUID = 2472449657345878299L;
public void computeDerivatives(double t, double[] y, double[] dot)
throws MathUserException {
dot[0] = -y[1];

3
src/test/java/org/apache/commons/math/ode/TestProblem1.java
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@ -36,9 +36,6 @@ import org.apache.commons.math.util.FastMath;
public class TestProblem1
extends TestProblemAbstract {
/** Serializable version identifier. */
private static final long serialVersionUID = 1977870815289373164L;
/** theoretical state */
private double[] y;

3
src/test/java/org/apache/commons/math/ode/TestProblem2.java
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@ -37,9 +37,6 @@ import org.apache.commons.math.util.FastMath;
public class TestProblem2
extends TestProblemAbstract {
/** Serializable version identifier. */
private static final long serialVersionUID = 8330741783213512366L;
/** theoretical state */
private double[] y;

3
src/test/java/org/apache/commons/math/ode/TestProblem3.java
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@ -39,9 +39,6 @@ import org.apache.commons.math.util.FastMath;
public class TestProblem3
extends TestProblemAbstract {
/** Serializable version identifier. */
private static final long serialVersionUID = 8567328542728919999L;
/** Eccentricity */
double e;

6
src/test/java/org/apache/commons/math/ode/TestProblem4.java
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@ -38,9 +38,6 @@ import org.apache.commons.math.util.FastMath;
public class TestProblem4
extends TestProblemAbstract {
/** Serializable version identifier. */
private static final long serialVersionUID = -5910438521889015745L;
/** Time offset. */
private double a;
@ -112,7 +109,6 @@ public TestProblem4 copy() {
private static class Bounce implements EventHandler {
private static final long serialVersionUID = 1356097180027801200L;
private int sign;
public Bounce() {
@ -138,8 +134,6 @@ public TestProblem4 copy() {
private static class Stop implements EventHandler {
private static final long serialVersionUID = 6975050568227951931L;
public Stop() {
}

3
src/test/java/org/apache/commons/math/ode/TestProblem5.java
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@ -25,9 +25,6 @@ package org.apache.commons.math.ode;
public class TestProblem5
extends TestProblem1 {
/** Serializable version identifier. */
private static final long serialVersionUID = 7579233102411804237L;
/**
* Simple constructor.
*/

3
src/test/java/org/apache/commons/math/ode/TestProblem6.java
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@ -35,9 +35,6 @@ package org.apache.commons.math.ode;
public class TestProblem6
extends TestProblemAbstract {
/** Serializable version identifier. */
private static final long serialVersionUID = 1353409119804352378L;
/** theoretical state */
private double[] y;

3
src/test/java/org/apache/commons/math/ode/TestProblemAbstract.java
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@ -27,9 +27,6 @@ import org.apache.commons.math.ode.events.EventHandler;
public abstract class TestProblemAbstract
implements FirstOrderDifferentialEquations {
/** Serializable version identifier. */
private static final long serialVersionUID = -8521928974502839379L;
/** Dimension of the problem. */
protected int n;

1
src/test/java/org/apache/commons/math/ode/nonstiff/ClassicalRungeKuttaIntegratorTest.java
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@ -293,7 +293,6 @@ public class ClassicalRungeKuttaIntegratorTest {
}
});
integ.integrate(new FirstOrderDifferentialEquations() {
private static final long serialVersionUID = 0L;
public void computeDerivatives(double t, double[] y, double[] dot) {
dot[0] = 1.0;
}

1
src/test/java/org/apache/commons/math/ode/nonstiff/EulerIntegratorTest.java
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@ -174,7 +174,6 @@ public class EulerIntegratorTest {
}
});
integ.integrate(new FirstOrderDifferentialEquations() {
private static final long serialVersionUID = 0L;
public void computeDerivatives(double t, double[] y, double[] dot) {
dot[0] = 1.0;
}

1
src/test/java/org/apache/commons/math/ode/nonstiff/GillIntegratorTest.java
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@ -228,7 +228,6 @@ public class GillIntegratorTest {
}
});
integ.integrate(new FirstOrderDifferentialEquations() {
private static final long serialVersionUID = 0L;
public void computeDerivatives(double t, double[] y, double[] dot) {
dot[0] = 1.0;
}

3
src/test/java/org/apache/commons/math/ode/nonstiff/HighamHall54IntegratorTest.java
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@ -43,7 +43,6 @@ public class HighamHall54IntegratorTest {
new HighamHall54Integrator(0.0, 1.0, 1.0e-10, 1.0e-10);
FirstOrderDifferentialEquations equations =
new FirstOrderDifferentialEquations() {
private static final long serialVersionUID = -1157081786301178032L;
public void computeDerivatives(double t, double[] y, double[] dot)
throws MathUserException {
if (t < -0.5) {
@ -222,7 +221,6 @@ public class HighamHall54IntegratorTest {
}
public void resetState(double t, double[] y) {
}
private static final long serialVersionUID = 935652725339916361L;
}, Double.POSITIVE_INFINITY, 1.0e-8 * maxStep, 1000);
try {
@ -262,7 +260,6 @@ public class HighamHall54IntegratorTest {
}
public void resetState(double t, double[] y) {
}
private static final long serialVersionUID = 935652725339916361L;
}, Double.POSITIVE_INFINITY, 1.0e-8 * maxStep, 3);
try {

1
src/test/java/org/apache/commons/math/ode/nonstiff/MidpointIntegratorTest.java
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@ -174,7 +174,6 @@ public class MidpointIntegratorTest {
}
});
integ.integrate(new FirstOrderDifferentialEquations() {
private static final long serialVersionUID = 0L;
public void computeDerivatives(double t, double[] y, double[] dot) {
dot[0] = 1.0;
}

2
src/test/java/org/apache/commons/math/ode/nonstiff/StepProblem.java
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@ -59,6 +59,4 @@ public class StepProblem
private double rateAfter;
private double switchTime;
private static final long serialVersionUID = 7590601995477504318L;
}

2
src/test/java/org/apache/commons/math/ode/sampling/StepNormalizerTest.java
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@ -45,7 +45,6 @@ public class StepNormalizerTest {
setLastSeen(false);
integ.addStepHandler(new StepNormalizer(range / 10.0,
new FixedStepHandler() {
private static final long serialVersionUID = 1650337364641626444L;
private boolean firstCall = true;
public void handleStep(double t,
double[] y,
@ -74,7 +73,6 @@ public class StepNormalizerTest {
setLastSeen(false);
integ.addStepHandler(new StepNormalizer(range / 10.5,
new FixedStepHandler() {
private static final long serialVersionUID = 2228457391561277298L;
public void handleStep(double t,
double[] y,
double[] yDot,

10
src/test/java/org/apache/commons/math/optimization/MultiStartDifferentiableMultivariateVectorialOptimizerTest.java
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@ -18,12 +18,10 @@
package org.apache.commons.math.optimization;
import java.io.Serializable;
import org.apache.commons.math.exception.MathUserException;
import org.apache.commons.math.exception.MathIllegalStateException;
import org.apache.commons.math.analysis.DifferentiableMultivariateVectorialFunction;
import org.apache.commons.math.analysis.MultivariateMatrixFunction;
import org.apache.commons.math.exception.MathIllegalStateException;
import org.apache.commons.math.exception.MathUserException;
import org.apache.commons.math.linear.BlockRealMatrix;
import org.apache.commons.math.linear.RealMatrix;
import org.apache.commons.math.optimization.general.GaussNewtonOptimizer;
@ -157,9 +155,8 @@ public class MultiStartDifferentiableMultivariateVectorialOptimizerTest {
}, new double[] { 2 }, new double[] { 1 }, new double[] { 0 });
}
private static class LinearProblem implements DifferentiableMultivariateVectorialFunction, Serializable {
private static class LinearProblem implements DifferentiableMultivariateVectorialFunction {
private static final long serialVersionUID = -8804268799379350190L;
final RealMatrix factors;
final double[] target;
public LinearProblem(double[][] factors, double[] target) {
@ -173,7 +170,6 @@ public class MultiStartDifferentiableMultivariateVectorialOptimizerTest {
public MultivariateMatrixFunction jacobian() {
return new MultivariateMatrixFunction() {
private static final long serialVersionUID = -8387467946663627585L;
public double[][] value(double[] point) {
return factors.getData();
}

3
src/test/java/org/apache/commons/math/optimization/direct/SimplexOptimizerMultiDirectionalTest.java
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@ -38,7 +38,6 @@ public class SimplexOptimizerMultiDirectionalTest {
final double valueXpYm = -0.7290400707055187115322; // global minimum
final double valueXpYp = -valueXpYm; // global maximum
MultivariateRealFunction fourExtrema = new MultivariateRealFunction() {
private static final long serialVersionUID = -7039124064449091152L;
public double value(double[] variables) {
final double x = variables[0];
final double y = variables[1];
@ -87,7 +86,6 @@ public class SimplexOptimizerMultiDirectionalTest {
public void testRosenbrock() {
MultivariateRealFunction rosenbrock =
new MultivariateRealFunction() {
private static final long serialVersionUID = -9044950469615237490L;
public double value(double[] x) {
++count;
double a = x[1] - x[0] * x[0];
@ -114,7 +112,6 @@ public class SimplexOptimizerMultiDirectionalTest {
public void testPowell() {
MultivariateRealFunction powell =
new MultivariateRealFunction() {
private static final long serialVersionUID = -832162886102041840L;
public double value(double[] x) {
++count;
double a = x[0] + 10 * x[1];

1
src/test/java/org/apache/commons/math/optimization/direct/SimplexOptimizerNelderMeadTest.java
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@ -43,7 +43,6 @@ public class SimplexOptimizerNelderMeadTest {
final double valueXpYm = -0.7290400707055187115322; // global minimum
final double valueXpYp = -valueXpYm; // global maximum
MultivariateRealFunction fourExtrema = new MultivariateRealFunction() {
private static final long serialVersionUID = -7039124064449091152L;
public double value(double[] variables) {
final double x = variables[0];
final double y = variables[1];

2
src/test/java/org/apache/commons/math/optimization/general/CircleScalar.java
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@ -79,7 +79,6 @@ class CircleScalar implements DifferentiableMultivariateRealFunction {
public MultivariateVectorialFunction gradient() {
return new MultivariateVectorialFunction() {
private static final long serialVersionUID = 3174909643301201710L;
public double[] value(double[] point) {
return gradient(point);
}
@ -88,7 +87,6 @@ class CircleScalar implements DifferentiableMultivariateRealFunction {
public MultivariateRealFunction partialDerivative(final int k) {
return new MultivariateRealFunction() {
private static final long serialVersionUID = 3073956364104833888L;
public double value(double[] point) {
return gradient(point)[k];
}

1
src/test/java/org/apache/commons/math/optimization/general/CircleVectorial.java
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@ -89,7 +89,6 @@ class CircleVectorial implements DifferentiableMultivariateVectorialFunction {
public MultivariateMatrixFunction jacobian() {
return new MultivariateMatrixFunction() {
private static final long serialVersionUID = -4340046230875165095L;
public double[][] value(double[] point) {
return jacobian(point);
}

1
src/test/java/org/apache/commons/math/optimization/general/GaussNewtonOptimizerTest.java
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@ -477,7 +477,6 @@ public class GaussNewtonOptimizerTest {
public MultivariateMatrixFunction jacobian() {
return new MultivariateMatrixFunction() {
private static final long serialVersionUID = -8387467946663627585L;
public double[][] value(double[] point) {
return factors.getData();
}

2
src/test/java/org/apache/commons/math/optimization/general/LevenbergMarquardtOptimizerTest.java
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@ -530,7 +530,6 @@ public class LevenbergMarquardtOptimizerTest {
public MultivariateMatrixFunction jacobian() {
return new MultivariateMatrixFunction() {
private static final long serialVersionUID = 556396458721526234L;
public double[][] value(double[] point) {
return factors.getData();
}
@ -574,7 +573,6 @@ public class LevenbergMarquardtOptimizerTest {
public MultivariateMatrixFunction jacobian() {
return new MultivariateMatrixFunction() {
private static final long serialVersionUID = -8673650298627399464L;
public double[][] value(double[] point) {
return jacobian(point);
}

1
src/test/java/org/apache/commons/math/optimization/general/MinpackTest.java
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@ -595,7 +595,6 @@ public class MinpackTest {
public MultivariateMatrixFunction jacobian() {
return new MultivariateMatrixFunction() {
private static final long serialVersionUID = -2435076097232923678L;
public double[][] value(double[] point) {
return jacobian(point);
}

2
src/test/java/org/apache/commons/math/optimization/general/NonLinearConjugateGradientOptimizerTest.java
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@ -376,7 +376,6 @@ public class NonLinearConjugateGradientOptimizerTest {
public MultivariateVectorialFunction gradient() {
return new MultivariateVectorialFunction() {
private static final long serialVersionUID = 2621997811350805819L;
public double[] value(double[] point) {
return gradient(point);
}
@ -385,7 +384,6 @@ public class NonLinearConjugateGradientOptimizerTest {
public MultivariateRealFunction partialDerivative(final int k) {
return new MultivariateRealFunction() {
private static final long serialVersionUID = -6186178619133562011L;
public double value(double[] point) {
return gradient(point)[k];
}