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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.NonNullGenerator;
30  import com.rapiddweller.benerator.distribution.Sequence;
31  import com.rapiddweller.benerator.wrapper.WrapperFactory;
32  import com.rapiddweller.common.BeanUtil;
33  import com.rapiddweller.common.NumberUtil;
34  
35  import java.math.BigDecimal;
36  
37  import static com.rapiddweller.common.NumberUtil.toDouble;
38  import static com.rapiddweller.common.NumberUtil.toLong;
39  
40  /**
41   * {@link Sequence} implementation that implements a 'shuffle' behavior,
42   * by continuously incrementing a base value by a constant value and,
43   * when iterated through the number range, restarts with a value incremented by one.
44   * The numbers generated by a related generator instance is unique as long as the
45   * generator is not reset.<br/>
46   * <br/>
47   * Created at 30.06.2009 06:57:35
48   *
49   * @author Volker Bergmann
50   * @since 0.6.0
51   */
52  public class ShuffleSequence extends Sequence {
53  
54    private BigDecimal increment;
55  
56    /**
57     * Instantiates a new Shuffle sequence.
58     */
59    public ShuffleSequence() {
60      this(null);
61    }
62  
63    /**
64     * Instantiates a new Shuffle sequence.
65     *
66     * @param increment the increment
67     */
68    public ShuffleSequence(BigDecimal increment) {
69      this.increment = null;
70    }
71  
72    @Override
73    public <T extends Number> NonNullGenerator<T> createNumberGenerator(
74        Class<T> numberType, T min, T max, T granularity, boolean unique) {
75      if (increment == null) {
76        increment = BigDecimal.valueOf(2);
77      }
78      if (max == null) {
79        max = NumberUtil.maxValue(numberType);
80      }
81      NonNullGenerator<? extends Number> base;
82      if (BeanUtil.isIntegralNumberType(numberType)) {
83        base = new ShuffleLongGenerator(
84            toLong(min), toLong(max), toLong(granularity), toLong(increment));
85      } else {
86        base = new ShuffleDoubleGenerator(
87            toDouble(min), toDouble(max), toDouble(granularity), toDouble(increment));
88      }
89      return WrapperFactory.asNonNullNumberGeneratorOfType(numberType, base, min, granularity);
90    }
91  
92  }