Removed illegal @Override.

git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@1200334 13f79535-47bb-0310-9956-ffa450edef68
2025-02-06 10:09:26 +00:00 · 2011-11-10 14:11:06 +00:00 · 2011-11-10 14:11:06 +00:00 · 710b276e47
commit 710b276e47
parent 87f0f14381
11 changed files with 0 additions and 42 deletions
--- a/src/main/java/org/apache/commons/math/distribution/AbstractContinuousDistribution.java
+++ b/src/main/java/org/apache/commons/math/distribution/AbstractContinuousDistribution.java
@ -65,7 +65,6 @@ public abstract class AbstractContinuousDistribution
     *
     * @return 0
     */
-    @Override
    public final double probability(double x) {
        return 0.0;
    }
@ -73,7 +72,6 @@ public abstract class AbstractContinuousDistribution
    /**
     * {@inheritDoc}
     */
-    @Override
    public double inverseCumulativeProbability(final double p) throws OutOfRangeException {

        if (p < 0.0 || p > 1.0) {
@ -84,7 +82,6 @@ public abstract class AbstractContinuousDistribution
        // subclasses can override if there is a better method.
        UnivariateRealFunction rootFindingFunction =
            new UnivariateRealFunction() {
-            @Override
            public double value(double x) {
                return cumulativeProbability(x) - p;
            }
@ -128,7 +125,6 @@ public abstract class AbstractContinuousDistribution
     * @param seed New seed.
     * @since 2.2
     */
-    @Override
    public void reseedRandomGenerator(long seed) {
        randomData.reSeed(seed);
    }
@ -143,7 +139,6 @@ public abstract class AbstractContinuousDistribution
     * @return a random value.
     * @since 2.2
     */
-    @Override
    public double sample() {
        return randomData.nextInversionDeviate(this);
    }
@ -157,7 +152,6 @@ public abstract class AbstractContinuousDistribution
     * @throws NotStrictlyPositiveException if {@code sampleSize} is not positive.
     * @since 2.2
     */
-    @Override
    public double[] sample(int sampleSize) {
        if (sampleSize <= 0) {
            throw new NotStrictlyPositiveException(LocalizedFormats.NUMBER_OF_SAMPLES,
--- a/src/main/java/org/apache/commons/math/distribution/AbstractDistribution.java
+++ b/src/main/java/org/apache/commons/math/distribution/AbstractDistribution.java
@ -57,7 +57,6 @@ public abstract class AbstractDistribution
     * The default implementation uses the identity
     * <p>{@code P(x0 < X <= x1) = P(X <= x1) - P(X <= x0)}</p>
     */
-    @Override
    public double cumulativeProbability(double x0, double x1) throws NumberIsTooLargeException {
        if (x0 > x1) {
            throw new NumberIsTooLargeException(LocalizedFormats.LOWER_ENDPOINT_ABOVE_UPPER_ENDPOINT,
@ -81,7 +80,6 @@ public abstract class AbstractDistribution
     *
     * @return the mean or Double.NaN if it's not defined
     */
-    @Override
    public double getNumericalMean() {
        if (!numericalMeanIsCalculated) {
            numericalMean = calculateNumericalMean();
@ -108,7 +106,6 @@ public abstract class AbstractDistribution
     * for certain cases in {@link TDistributionImpl}) or
     * Double.NaN if it's not defined
     */
-    @Override
    public double getNumericalVariance() {
        if (!numericalVarianceIsCalculated) {
            numericalVariance = calculateNumericalVariance();
@ -124,7 +121,6 @@ public abstract class AbstractDistribution
     *
     * @return whether the lower bound of the support is inclusive or not
     */
-    @Override
    public abstract boolean isSupportLowerBoundInclusive();

    /**
@ -133,7 +129,6 @@ public abstract class AbstractDistribution
     *
     * @return whether the upper bound of the support is inclusive or not
     */
-    @Override
    public abstract boolean isSupportUpperBoundInclusive();

    /**
@ -155,7 +150,6 @@ public abstract class AbstractDistribution
     *
     * @return whether the support limits given by subclassed methods are connected or not
     */
-    @Override
    public boolean isSupportConnected() {
        return true;
    }
--- a/src/main/java/org/apache/commons/math/distribution/BetaDistributionImpl.java
+++ b/src/main/java/org/apache/commons/math/distribution/BetaDistributionImpl.java
@ -103,7 +103,6 @@ public class BetaDistributionImpl
    /**
     * {@inheritDoc}
     */
-    @Override
    public double density(double x) {
        recomputeZ();
        if (x < 0 || x > 1) {
--- a/src/main/java/org/apache/commons/math/distribution/CauchyDistributionImpl.java
+++ b/src/main/java/org/apache/commons/math/distribution/CauchyDistributionImpl.java
@ -89,7 +89,6 @@ public class CauchyDistributionImpl extends AbstractContinuousDistribution
    /**
     * {@inheritDoc}
     */
-    @Override
    public double cumulativeProbability(double x) {
        return 0.5 + (FastMath.atan((x - median) / scale) / FastMath.PI);
    }
@ -97,7 +96,6 @@ public class CauchyDistributionImpl extends AbstractContinuousDistribution
    /**
     * {@inheritDoc}
     */
-    @Override
    public double getMedian() {
        return median;
    }
@ -105,7 +103,6 @@ public class CauchyDistributionImpl extends AbstractContinuousDistribution
    /**
     * {@inheritDoc}
     */
-    @Override
    public double getScale() {
        return scale;
    }
@ -113,7 +110,6 @@ public class CauchyDistributionImpl extends AbstractContinuousDistribution
    /**
     * {@inheritDoc}
     */
-    @Override
    public double density(double x) {
        final double dev = x - median;
        return (1 / FastMath.PI) * (scale / (dev * dev + scale * scale));
--- a/src/main/java/org/apache/commons/math/distribution/ChiSquaredDistributionImpl.java
+++ b/src/main/java/org/apache/commons/math/distribution/ChiSquaredDistributionImpl.java
@ -67,7 +67,6 @@ public class ChiSquaredDistributionImpl
    /**
     * {@inheritDoc}
     */
-    @Override
    public double getDegreesOfFreedom() {
        return gamma.getAlpha() * 2.0;
    }
@ -75,7 +74,6 @@ public class ChiSquaredDistributionImpl
    /**
     * {@inheritDoc}
     */
-    @Override
    public double density(double x) {
        return gamma.density(x);
    }
@ -83,7 +81,6 @@ public class ChiSquaredDistributionImpl
    /**
     * {@inheritDoc}
     */
-    @Override
    public double cumulativeProbability(double x)  {
        return gamma.cumulativeProbability(x);
    }
--- a/src/main/java/org/apache/commons/math/distribution/ExponentialDistributionImpl.java
+++ b/src/main/java/org/apache/commons/math/distribution/ExponentialDistributionImpl.java
@ -71,7 +71,6 @@ public class ExponentialDistributionImpl extends AbstractContinuousDistribution
    /**
     * {@inheritDoc}
     */
-    @Override
    public double getMean() {
        return mean;
    }
@ -79,7 +78,6 @@ public class ExponentialDistributionImpl extends AbstractContinuousDistribution
    /**
     * {@inheritDoc}
     */
-    @Override
    public double density(double x) {
        if (x < 0) {
            return 0;
@ -97,7 +95,6 @@ public class ExponentialDistributionImpl extends AbstractContinuousDistribution
     * Exponential Distribution</a>, equation (1).</li>
     * </ul>
     */
-    @Override
    public double cumulativeProbability(double x)  {
        double ret;
        if (x <= 0.0) {
--- a/src/main/java/org/apache/commons/math/distribution/FDistributionImpl.java
+++ b/src/main/java/org/apache/commons/math/distribution/FDistributionImpl.java
@ -94,7 +94,6 @@ public class FDistributionImpl
     *
     * @since 2.1
     */
-    @Override
    public double density(double x) {
        final double nhalf = numeratorDegreesOfFreedom / 2;
        final double mhalf = denominatorDegreesOfFreedom / 2;
@ -119,7 +118,6 @@ public class FDistributionImpl
     *  </li>
     * </ul>
     */
-    @Override
    public double cumulativeProbability(double x)  {
        double ret;
        if (x <= 0) {
@ -200,7 +198,6 @@ public class FDistributionImpl
    /**
     * {@inheritDoc}
     */
-    @Override
    public double getNumeratorDegreesOfFreedom() {
        return numeratorDegreesOfFreedom;
    }
@ -208,7 +205,6 @@ public class FDistributionImpl
    /**
     * {@inheritDoc}
     */
-    @Override
    public double getDenominatorDegreesOfFreedom() {
        return denominatorDegreesOfFreedom;
    }
--- a/src/main/java/org/apache/commons/math/distribution/GammaDistributionImpl.java
+++ b/src/main/java/org/apache/commons/math/distribution/GammaDistributionImpl.java
@ -92,7 +92,6 @@ public class GammaDistributionImpl extends AbstractContinuousDistribution
     *  </li>
     * </ul>
     */
-    @Override
    public double cumulativeProbability(double x) {
        double ret;

@ -125,7 +124,6 @@ public class GammaDistributionImpl extends AbstractContinuousDistribution
    /**
     * {@inheritDoc}
     */
-    @Override
    public double getAlpha() {
        return alpha;
    }
@ -133,7 +131,6 @@ public class GammaDistributionImpl extends AbstractContinuousDistribution
    /**
     * {@inheritDoc}
     */
-    @Override
    public double getBeta() {
        return beta;
    }
@ -141,7 +138,6 @@ public class GammaDistributionImpl extends AbstractContinuousDistribution
    /**
     * {@inheritDoc}
     */
-    @Override
    public double density(double x) {
        if (x < 0) {
            return 0;
--- a/src/main/java/org/apache/commons/math/distribution/NormalDistributionImpl.java
+++ b/src/main/java/org/apache/commons/math/distribution/NormalDistributionImpl.java
@ -92,7 +92,6 @@ public class NormalDistributionImpl extends AbstractContinuousDistribution
    /**
     * {@inheritDoc}
     */
-    @Override
    public double getMean() {
        return mean;
    }
@ -100,7 +99,6 @@ public class NormalDistributionImpl extends AbstractContinuousDistribution
    /**
     * {@inheritDoc}
     */
-    @Override
    public double getStandardDeviation() {
        return standardDeviation;
    }
@ -108,7 +106,6 @@ public class NormalDistributionImpl extends AbstractContinuousDistribution
    /**
     * {@inheritDoc}
     */
-    @Override
    public double density(double x) {
        final double x0 = x - mean;
        final double x1 = x0 / standardDeviation;
@ -121,7 +118,6 @@ public class NormalDistributionImpl extends AbstractContinuousDistribution
     * If {@code x} is more than 40 standard deviations from the mean, 0 or 1 is returned,
     * as in these cases the actual value is within {@code Double.MIN_VALUE} of 0 or 1.
     */
-    @Override
    public double cumulativeProbability(double x)  {
        final double dev = x - mean;
        if (FastMath.abs(dev) > 40 * standardDeviation) {
--- a/src/main/java/org/apache/commons/math/distribution/TDistributionImpl.java
+++ b/src/main/java/org/apache/commons/math/distribution/TDistributionImpl.java
@ -79,7 +79,6 @@ public class TDistributionImpl
     *
     * @return the degrees of freedom.
     */
-    @Override
    public double getDegreesOfFreedom() {
        return degreesOfFreedom;
    }
@ -87,7 +86,6 @@ public class TDistributionImpl
    /**
     * {@inheritDoc}
     */
-    @Override
    public double density(double x) {
        final double n = degreesOfFreedom;
        final double nPlus1Over2 = (n + 1) / 2;
@ -99,7 +97,6 @@ public class TDistributionImpl
    /**
     * {@inheritDoc}
     */
-    @Override
    public double cumulativeProbability(double x) {
        double ret;
        if (x == 0) {
--- a/src/main/java/org/apache/commons/math/distribution/WeibullDistributionImpl.java
+++ b/src/main/java/org/apache/commons/math/distribution/WeibullDistributionImpl.java
@ -90,7 +90,6 @@ public class WeibullDistributionImpl extends AbstractContinuousDistribution
    /**
     * {@inheritDoc}
     */
-    @Override
    public double cumulativeProbability(double x) {
        double ret;
        if (x <= 0.0) {
@ -104,7 +103,6 @@ public class WeibullDistributionImpl extends AbstractContinuousDistribution
    /**
     * {@inheritDoc}
     */
-    @Override
    public double getShape() {
        return shape;
    }
@ -112,7 +110,6 @@ public class WeibullDistributionImpl extends AbstractContinuousDistribution
    /**
     * {@inheritDoc}
     */
-    @Override
    public double getScale() {
        return scale;
    }
@ -120,7 +117,6 @@ public class WeibullDistributionImpl extends AbstractContinuousDistribution
    /**
     * {@inheritDoc}
     */
-    @Override
    public double density(double x) {
        if (x < 0) {
            return 0;