| 1 | /*
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| 2 |  * RandomNumberGenerator_Encapsulation.hpp
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| 3 |  *
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| 4 |  *  Created on: Dec 31, 2010
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| 5 |  *      Author: heber
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| 6 |  */
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| 7 | 
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| 8 | #ifndef RANDOMNUMBERGENERATOR_ENCAPSULATION_HPP_
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| 9 | #define RANDOMNUMBERGENERATOR_ENCAPSULATION_HPP_
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| 10 | 
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| 11 | // include config.h
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| 12 | #ifdef HAVE_CONFIG_H
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| 13 | #include <config.h>
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| 14 | #endif
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| 15 | 
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| 16 | #include <boost/nondet_random.hpp>
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| 17 | #include <boost/random.hpp>
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| 18 | #include <boost/random/bernoulli_distribution.hpp>
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| 19 | #include <boost/random/binomial_distribution.hpp>
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| 20 | #include <boost/random/cauchy_distribution.hpp>
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| 21 | #include <boost/random/exponential_distribution.hpp>
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| 22 | #include <boost/random/gamma_distribution.hpp>
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| 23 | #include <boost/random/geometric_distribution.hpp>
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| 24 | #include <boost/random/linear_congruential.hpp>
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| 25 | #include <boost/random/lognormal_distribution.hpp>
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| 26 | #include <boost/random/normal_distribution.hpp>
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| 27 | #include <boost/random/poisson_distribution.hpp>
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| 28 | #include <boost/random/triangle_distribution.hpp>
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| 29 | #include <boost/random/uniform_01.hpp>
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| 30 | #include <boost/random/uniform_int.hpp>
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| 31 | #include <boost/random/uniform_on_sphere.hpp>
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| 32 | #include <boost/random/uniform_real.hpp>
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| 33 | #include <boost/random/uniform_smallint.hpp>
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| 34 | #include <boost/random/additive_combine.hpp>
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| 35 | #include <boost/random/discard_block.hpp>
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| 36 | #include <boost/random/inversive_congruential.hpp>
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| 37 | #include <boost/random/lagged_fibonacci.hpp>
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| 38 | #include <boost/random/linear_congruential.hpp>
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| 39 | #include <boost/random/linear_feedback_shift.hpp>
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| 40 | #include <boost/random/mersenne_twister.hpp>
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| 41 | #include <boost/random/random_number_generator.hpp>
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| 42 | #include <boost/random/ranlux.hpp>
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| 43 | #include <boost/random/shuffle_output.hpp>
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| 44 | #include <boost/random/subtract_with_carry.hpp>
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| 45 | #include <boost/random/xor_combine.hpp>
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| 46 | #include <boost/random/variate_generator.hpp>
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| 47 | 
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| 48 | #include <typeinfo>
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| 49 | 
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| 50 | #include "CodePatterns/Clone.hpp"
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| 51 | #include "RandomNumberDistribution_Encapsulation.hpp"
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| 52 | #include "RandomNumberDistributionFactory.hpp"
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| 53 | #include "RandomNumberEngine_Encapsulation.hpp"
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| 54 | #include "RandomNumberEngineFactory.hpp"
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| 55 | #include "RandomNumberGenerator.hpp"
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| 56 | 
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| 57 | class RandomNumberGeneratorFactory;
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| 58 | 
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| 59 | /** Template class that encapsulates the random number generators from
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| 60 |  *  random::boost.
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| 61 |  *
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| 62 |  * We inherit the interface RandomNumberGenerator such that all are
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| 63 |  * accessible in the same way (i.e. RandomNumberGeneratorFactory will
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| 64 |  * spit out only references to RandomNumberGenerator).
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| 65 |  *
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| 66 |  * Note that we always returns double values although the distribution
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| 67 |  * might be integer or even a discrete distribution of integers.
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| 68 |  *
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| 69 |  * We need two template parameters:
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| 70 |  * -# the engine - generates uniform random numbers
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| 71 |  * -# the distribution - transforms uniform into a desired distribution
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| 72 |  */
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| 73 | template <class engine, class distribution>
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| 74 | class RandomNumberGenerator_Encapsulation :
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| 75 |   public RandomNumberGenerator,
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| 76 |   public Clone<RandomNumberGenerator>
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| 77 | {
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| 78 |   /**
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| 79 |    * Factory is friend such that it can access private cstor when filling its
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| 80 |    * table
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| 81 |    */
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| 82 |   friend class RandomNumberGeneratorFactory;
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| 83 | 
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| 84 | public:
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| 85 |   /** obtain a random number via generator and the specific distribution.
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| 86 |    *
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| 87 |    */
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| 88 |   double operator()() const {
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| 89 |     const double value = (*randomgenerator)();
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| 90 |     //std::cout << "Current random value from (" << EngineName() << "," << DistributionName() << ") is " << value << std::endl;
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| 91 |     return value;
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| 92 |   }
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| 93 | 
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| 94 |   /** Set the generator's seed.
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| 95 |    *
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| 96 |    * @param _seed seed to set to
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| 97 |    */
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| 98 |   void seed(unsigned int _seed) {
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| 99 |     engine_type->seed(_seed);
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| 100 |   }
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| 101 | 
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| 102 |   /** Getter for smallest possible random number
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| 103 |    *
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| 104 |    * @return smallest possible random number
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| 105 |    */
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| 106 |   double min() const {
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| 107 |     return distribution_type->min();
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| 108 |   }
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| 109 | 
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| 110 |   /** Getter for largest possible random number
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| 111 |    *
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| 112 |    * @return largest possible random number
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| 113 |    */
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| 114 |   double max() const {
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| 115 |     return distribution_type->max();
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| 116 |   }
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| 117 | 
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| 118 |   /** Getter for the type name of the internal engine.
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| 119 |    *
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| 120 |    */
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| 121 |   std::string EngineName() const {
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| 122 |     return engine_type->name();
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| 123 |   }
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| 124 | 
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| 125 |   /** Getter for the type name of the internal distribution.
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| 126 |    *
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| 127 |    */
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| 128 |   std::string DistributionName() const {
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| 129 |     return distribution_type->name();
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| 130 |   }
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| 131 | 
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| 132 |   /** Clones the current instance and returns pointer.
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| 133 |    *
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| 134 |    * @return pointer to cloned instance
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| 135 |    */
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| 136 |   RandomNumberGenerator* clone() const
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| 137 |   {
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| 138 |     RandomNumberGenerator_Encapsulation<engine, distribution> *MyClone = NULL;
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| 139 | 
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| 140 |     // sadly (due to construction of variate_generator without any abstract
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| 141 |     // base class) we need RTTI here ...
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| 142 |     RandomNumberEngine *engine_clone =
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| 143 |         RandomNumberEngineFactory::getInstance().getProduct(typeid(engine));
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| 144 |     RandomNumberDistribution *distribution_clone =
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| 145 |         RandomNumberDistributionFactory::getInstance().getProduct(typeid(distribution));
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| 146 | 
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| 147 |     MyClone = new RandomNumberGenerator_Encapsulation<engine, distribution>(
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| 148 |         engine_clone,
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| 149 |         distribution_clone
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| 150 |         );
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| 151 | 
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| 152 |     return MyClone;
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| 153 |   }
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| 154 | 
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| 155 | protected:
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| 156 |   /** Constructor that instantiates a specific random number generator and
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| 157 |    * distribution.
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| 158 |    *
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| 159 |    * This is one is supposed to create the prototypes. Hence, must only be
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| 160 |    * called from the factory.
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| 161 |    */
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| 162 |   RandomNumberGenerator_Encapsulation() :
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| 163 |     randomgenerator(NULL)
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| 164 |   {
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| 165 |     engine_type = RandomNumberEngineFactory::getInstance().getProduct(typeid(engine));
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| 166 |     distribution_type = RandomNumberDistributionFactory::getInstance().getProduct(typeid(distribution));
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| 167 |     randomgenerator = new boost::variate_generator<engine, distribution>(
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| 168 |         (dynamic_cast<RandomNumberEngine_Encapsulation<engine> *>(engine_type))
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| 169 |         ->getEngine(),
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| 170 |         (dynamic_cast<RandomNumberDistribution_Encapsulation<distribution> *>(distribution_type))
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| 171 |         ->getDistribution());
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| 172 |   }
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| 173 | 
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| 174 |   /** Constructor that instantiates a specific random number generator and
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| 175 |    * distribution.
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| 176 |    * @param _engine_type instance of the desired generator
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| 177 |    * @param _distribution_type instance of the desired distribution
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| 178 |    */
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| 179 |   RandomNumberGenerator_Encapsulation(
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| 180 |       RandomNumberEngine *_engine_type,
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| 181 |       RandomNumberDistribution *_distribution_type
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| 182 |       ) :
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| 183 |         randomgenerator(NULL)
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| 184 |   {
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| 185 |     engine_type = _engine_type;
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| 186 |     distribution_type = _distribution_type;
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| 187 |     randomgenerator = new boost::variate_generator<engine, distribution> (
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| 188 |           (dynamic_cast<RandomNumberEngine_Encapsulation<engine> *>(engine_type))
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| 189 |           ->getEngine(),
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| 190 |           (dynamic_cast<RandomNumberDistribution_Encapsulation<distribution> *>(distribution_type))
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| 191 |           ->getDistribution());
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| 192 |   }
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| 193 | 
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| 194 |   /** Destructor of the class.
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| 195 |    *
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| 196 |    */
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| 197 |   virtual ~RandomNumberGenerator_Encapsulation()
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| 198 |   {
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| 199 |     // NULL pointer may be deleted
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| 200 |     delete randomgenerator;
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| 201 |   }
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| 202 | private:
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| 203 |   mutable boost::variate_generator<engine, distribution> *randomgenerator;
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| 204 | };
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| 205 | 
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| 206 | #endif /* RANDOMNUMBERGENERATOR_ENCAPSULATION_HPP_ */
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