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1   /*
2    * Licensed to the Apache Software Foundation (ASF) under one or more
3    * contributor license agreements.  See the NOTICE file distributed with
4    * this work for additional information regarding copyright ownership.
5    * The ASF licenses this file to You under the Apache License, Version 2.0
6    * (the "License"); you may not use this file except in compliance with
7    * the License.  You may obtain a copy of the License at
8    *
9    *      http://www.apache.org/licenses/LICENSE-2.0
10   *
11   * Unless required by applicable law or agreed to in writing, software
12   * distributed under the License is distributed on an "AS IS" BASIS,
13   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14   * See the License for the specific language governing permissions and
15   * limitations under the License.
16   */
17  package org.apache.commons.rng.core.source32;
18  
19  /**
20   * This class implements the WELL44497b pseudo-random number generator
21   * from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
22   * <p>
23   * This generator is described in a paper by Fran&ccedil;ois Panneton,
24   * Pierre L'Ecuyer and Makoto Matsumoto
25   * <a href="http://www.iro.umontreal.ca/~lecuyer/myftp/papers/wellrng.pdf">
26   * Improved Long-Period Generators Based on Linear Recurrences Modulo 2</a>
27   * ACM Transactions on Mathematical Software, 32, 1 (2006).
28   * The errata for the paper are in
29   * <a href="http://www.iro.umontreal.ca/~lecuyer/myftp/papers/wellrng-errata.txt">wellrng-errata.txt</a>.
30   * </p>
31   *
32   * @see <a href="http://www.iro.umontreal.ca/~panneton/WELLRNG.html">WELL Random number generator</a>
33   * @since 1.0
34   */
35  public class Well44497b extends Well44497a {
36      /**
37       * Creates a new random number generator.
38       *
39       * @param seed Initial seed.
40       */
41      public Well44497b(int[] seed) {
42          super(seed);
43      }
44  
45      /** {@inheritDoc} */
46      @Override
47      public int next() {
48          int z4 = super.next();
49  
50          // Matsumoto-Kurita tempering to get a maximally equidistributed generator.
51          z4 ^= (z4 << 7) & 0x93dd1400;
52          z4 ^= (z4 << 15) & 0xfa118000;
53  
54          return z4;
55      }
56  }