org.jenetics.LongGene Maven / Gradle / Ivy
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/*
* Java Genetic Algorithm Library (jenetics-3.4.0).
* Copyright (c) 2007-2016 Franz Wilhelmstötter
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* Author:
* Franz Wilhelmstötter ([email protected])
*/
package org.jenetics;
import static org.jenetics.internal.math.random.nextLong;
import static org.jenetics.util.RandomRegistry.getRandom;
import java.io.Serializable;
import java.util.Random;
import javax.xml.bind.annotation.XmlAccessType;
import javax.xml.bind.annotation.XmlAccessorType;
import javax.xml.bind.annotation.XmlAttribute;
import javax.xml.bind.annotation.XmlRootElement;
import javax.xml.bind.annotation.XmlType;
import javax.xml.bind.annotation.XmlValue;
import javax.xml.bind.annotation.adapters.XmlAdapter;
import javax.xml.bind.annotation.adapters.XmlJavaTypeAdapter;
import org.jenetics.util.ISeq;
import org.jenetics.util.LongRange;
import org.jenetics.util.MSeq;
import org.jenetics.util.Mean;
/**
* NumericGene implementation which holds a 64 bit integer number.
*
* This is a
* value-based class; use of identity-sensitive operations (including
* reference equality ({@code ==}), identity hash code, or synchronization) on
* instances of {@code LongGene} may have unpredictable results and should
* be avoided.
*
* @author Franz Wilhelmstötter
* @since 1.6
* @version 3.2
*/
@XmlJavaTypeAdapter(LongGene.Model.Adapter.class)
public final class LongGene
extends AbstractNumericGene
implements
NumericGene,
Mean,
Comparable,
Serializable
{
private static final long serialVersionUID = 1L;
/**
* Create a new random {@code LongGene} with the given value and the
* given range. If the {@code value} isn't within the interval [min, max],
* no exception is thrown. In this case the method
* {@link LongGene#isValid()} returns {@code false}.
*
* @param value the value of the gene.
* @param min the minimal valid value of this gene (inclusively).
* @param max the maximal valid value of this gene (inclusively).
* @throws NullPointerException if one of the arguments is {@code null}.
*/
LongGene(final Long value, final Long min, final Long max) {
super(value, min, max);
}
@Override
public int compareTo(final LongGene other) {
return _value.compareTo(other._value);
}
/**
* Create a new random {@code LongGene} with the given value and the
* given range. If the {@code value} isn't within the interval [min, max],
* no exception is thrown. In this case the method
* {@link LongGene#isValid()} returns {@code false}.
*
* @param value the value of the gene.
* @param min the minimal valid value of this gene (inclusively).
* @param max the maximal valid value of this gene (inclusively).
* @return a new {@code LongGene} with the given parameters.
*/
public static LongGene of(final long value, final long min, final long max) {
return new LongGene(value, min, max);
}
/**
* Create a new random {@code LongGene} with the given value and the
* given range. If the {@code value} isn't within the interval [min, max],
* no exception is thrown. In this case the method
* {@link LongGene#isValid()} returns {@code false}.
*
* @since 3.2
*
* @param value the value of the gene.
* @param range the long range to use
* @return a new random {@code LongGene}
* @throws NullPointerException if the given {@code range} is {@code null}.
*/
public static LongGene of(final long value, final LongRange range) {
return new LongGene(value, range.getMin(), range.getMax());
}
/**
* Create a new random {@code LongGene}. It is guaranteed that the value of
* the {@code LongGene} lies in the interval [min, max].
*
* @param min the minimal valid value of this gene (inclusively).
* @param max the maximal valid value of this gene (inclusively).
* @return a new {@code LongGene} with the given parameters.
*/
public static LongGene of(final long min, final long max) {
return of(nextLong(getRandom(), min, max), min, max);
}
/**
* Create a new random {@code LongGene}. It is guaranteed that the value of
* the {@code LongGene} lies in the interval [min, max].
*
* @since 3.2
*
* @param range the long range to use
* @return a new random {@code LongGene}
* @throws NullPointerException if the given {@code range} is {@code null}.
*/
public static LongGene of(final LongRange range) {
return of(nextLong(getRandom(), range.getMin(), range.getMax()), range);
}
static ISeq seq(
final Long minimum,
final Long maximum,
final int length
) {
final long min = minimum;
final long max = maximum;
final Random r = getRandom();
return MSeq.ofLength(length)
.fill(() -> new LongGene(nextLong(r, min, max), minimum, maximum))
.toISeq();
}
@Override
public LongGene newInstance(final Number number) {
return new LongGene(number.longValue(), _min, _max);
}
@Override
public LongGene newInstance() {
return new LongGene(
nextLong(getRandom(), _min, _max), _min, _max
);
}
@Override
public LongGene mean(final LongGene that) {
return new LongGene(_value + (that._value - _value)/2, _min, _max);
}
/* *************************************************************************
* JAXB object serialization
* ************************************************************************/
@XmlRootElement(name = "long-gene")
@XmlType(name = "org.jenetics.LongGene")
@XmlAccessorType(XmlAccessType.FIELD)
final static class Model {
@XmlAttribute(name = "min", required = true)
public long min;
@XmlAttribute(name = "max", required = true)
public long max;
@XmlValue
public long value;
public final static class Adapter
extends XmlAdapter
{
@Override
public Model marshal(final LongGene value) {
final Model m = new Model();
m.min = value.getMin();
m.max = value.getMax();
m.value = value.getAllele();
return m;
}
@Override
public LongGene unmarshal(final Model m) {
return LongGene.of(m.value, m.min, m.max);
}
}
}
}