/*
* (c) Copyright 2009-2011 by Volker Bergmann. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, is permitted under the terms of the
* GNU General Public License.
*
* For redistributing this software or a derivative work under a license other
* than the GPL-compatible Free Software License as defined by the Free
* Software Foundation or approved by OSI, you must first obtain a commercial
* license to this software product from Volker Bergmann.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* WITHOUT A WARRANTY OF ANY KIND. ALL EXPRESS OR IMPLIED CONDITIONS,
* REPRESENTATIONS AND WARRANTIES, INCLUDING ANY IMPLIED WARRANTY OF
* MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE OR NON-INFRINGEMENT, ARE
* HEREBY EXCLUDED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
* LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
* CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
* SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
* INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
* CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
* ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*/
package org.databene.benerator.distribution.sequence;
import java.math.BigDecimal;
import java.math.BigInteger;
import org.databene.benerator.Generator;
import org.databene.benerator.NonNullGenerator;
import org.databene.benerator.distribution.Sequence;
import org.databene.benerator.distribution.SequenceManager;
import org.databene.benerator.wrapper.WrapperFactory;
import org.databene.commons.BeanUtil;
import org.databene.commons.NumberUtil;
import static org.databene.commons.NumberUtil.*;
/**
* {@link Sequence} implementation that creates generators with a random uniform distribution.<br/>
* <br/>
* Created at 27.07.2009 06:31:25
* @since 0.6.0
* @author Volker Bergmann
*/
public class RandomSequence extends Sequence {
public <T extends Number> NonNullGenerator<T> createNumberGenerator(Class<T> numberType, T min, T max, T granularity, boolean unique) {
NonNullGenerator<? extends Number> base;
if (unique) {
return SequenceManager.EXPAND_SEQUENCE.createNumberGenerator(numberType, min, max, granularity, unique);
} else if (BeanUtil.isIntegralNumberType(numberType)) {
long lMax = (max != null ? max.longValue() :
Math.min(RandomLongGenerator.DEFAULT_MAX, NumberUtil.maxValue(numberType).longValue()));
if (Integer.class.equals(numberType.getClass()))
base = new RandomIntegerGenerator(toInteger(min), toInteger(lMax), toInteger(granularity));
else if (BigInteger.class.equals(numberType.getClass()))
base = new RandomBigIntegerGenerator(toBigInteger(min), toBigInteger(lMax), toBigInteger(granularity));
else if (BigDecimal.class.equals(numberType.getClass()))
base = new RandomBigDecimalGenerator(toBigDecimal(min), toBigDecimal(lMax), toBigDecimal(granularity));
else
base = new RandomLongGenerator(toLong(min), lMax, toLong(granularity));
} else {
double dMax = (max != null ? max.doubleValue() : Long.MAX_VALUE);
base = new RandomDoubleGenerator(toDouble(min), dMax, toDouble(granularity));
}
return WrapperFactory.asNonNullNumberGeneratorOfType(numberType, base, min, granularity);
}
@Override
public <T> Generator<T> applyTo(Generator<T> source, boolean unique) {
if (unique)
return SequenceManager.EXPAND_SEQUENCE.applyTo(source, unique);
else
return super.applyTo(source, unique);
}
@Override
public String toString() {
return BeanUtil.toString(this);
}
}