View Javadoc
1   /*
2    * (c) Copyright 2006-2020 by rapiddweller GmbH & Volker Bergmann. All rights reserved.
3    *
4    * Redistribution and use in source and binary forms, with or without
5    * modification, is permitted under the terms of the
6    * GNU General Public License.
7    *
8    * For redistributing this software or a derivative work under a license other
9    * than the GPL-compatible Free Software License as defined by the Free
10   * Software Foundation or approved by OSI, you must first obtain a commercial
11   * license to this software product from rapiddweller GmbH & Volker Bergmann.
12   *
13   * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
14   * WITHOUT A WARRANTY OF ANY KIND. ALL EXPRESS OR IMPLIED CONDITIONS,
15   * REPRESENTATIONS AND WARRANTIES, INCLUDING ANY IMPLIED WARRANTY OF
16   * MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE OR NON-INFRINGEMENT, ARE
17   * HEREBY EXCLUDED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
18   * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
19   * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
20   * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
21   * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
22   * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
23   * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
24   * POSSIBILITY OF SUCH DAMAGE.
25   */
26  
27  package com.rapiddweller.benerator.distribution.sequence;
28  
29  import com.rapiddweller.benerator.Generator;
30  import com.rapiddweller.benerator.NonNullGenerator;
31  import com.rapiddweller.benerator.distribution.Sequence;
32  import com.rapiddweller.benerator.distribution.SequenceManager;
33  import com.rapiddweller.benerator.wrapper.WrapperFactory;
34  import com.rapiddweller.common.BeanUtil;
35  import com.rapiddweller.common.NumberUtil;
36  
37  import java.math.BigDecimal;
38  import java.math.BigInteger;
39  
40  import static com.rapiddweller.common.NumberUtil.toBigDecimal;
41  import static com.rapiddweller.common.NumberUtil.toBigInteger;
42  import static com.rapiddweller.common.NumberUtil.toDouble;
43  import static com.rapiddweller.common.NumberUtil.toInteger;
44  import static com.rapiddweller.common.NumberUtil.toLong;
45  
46  /**
47   * {@link Sequence} implementation that creates generators with a random uniform distribution.<br/>
48   * <br/>
49   * Created at 27.07.2009 06:31:25
50   *
51   * @author Volker Bergmann
52   * @since 0.6.0
53   */
54  public class RandomSequence extends Sequence {
55  
56    @Override
57    public <T extends Number> NonNullGenerator<T> createNumberGenerator(Class<T> numberType, T min, T max, T granularity, boolean unique) {
58      NonNullGenerator<? extends Number> base;
59      if (unique) {
60        return SequenceManager.EXPAND_SEQUENCE.createNumberGenerator(numberType, min, max, granularity, unique);
61      } else if (BeanUtil.isIntegralNumberType(numberType)) {
62        long lMax = (max != null ? max.longValue() :
63            Math.min(RandomLongGenerator.DEFAULT_MAX, NumberUtil.maxValue(numberType).longValue()));
64        if (Integer.class.equals(numberType.getClass())) {
65          base = new RandomIntegerGenerator(toInteger(min), toInteger(lMax), toInteger(granularity));
66        } else if (BigInteger.class.equals(numberType.getClass())) {
67          base = new RandomBigIntegerGenerator(toBigInteger(min), toBigInteger(lMax), toBigInteger(granularity));
68        } else if (BigDecimal.class.equals(numberType.getClass())) {
69          base = new RandomBigDecimalGenerator(toBigDecimal(min), toBigDecimal(lMax), toBigDecimal(granularity));
70        } else {
71          base = new RandomLongGenerator(toLong(min), lMax, toLong(granularity));
72        }
73      } else {
74        double dMax = (max != null ? max.doubleValue() : Long.MAX_VALUE);
75        base = new RandomDoubleGenerator(toDouble(min), dMax, toDouble(granularity));
76      }
77      return WrapperFactory.asNonNullNumberGeneratorOfType(numberType, base, min, granularity);
78    }
79  
80    @Override
81    public <T> Generator<T> applyTo(Generator<T> source, boolean unique) {
82      if (unique) {
83        return SequenceManager.EXPAND_SEQUENCE.applyTo(source, unique);
84      } else {
85        return super.applyTo(source, unique);
86      }
87    }
88  
89    @Override
90    public String toString() {
91      return BeanUtil.toString(this);
92    }
93  
94  }