source: src/RandomNumbers/RandomNumberEngine_Encapsulation.hpp@ ff4fff9

CombiningParticlePotentialParsing
Last change on this file since ff4fff9 was 0932c2, checked in by Frederik Heber <heber@…>, 11 years ago

FIX: RandomNumberEngine_Encapsulation::clone() did not set the seed obtained from its prototype.

  • this caused all engines to always start with default seed of 1, irrespective of the set parameter. The engine is always cloned from prototypes in the factory that can be manipulated to change their parameters. Hence, clone needs to set the seed (the engine's only parameter).
  • EmpiricalPotentials now use RandomNumberGenerator to obtain random starting values.
  • TESTFIX: fit-potential regression tests now use fixed seed in order to always take the same amount of time (some test runs in debug mode take very long because of ill-chosen random values).
  • Property mode set to 100644
File size: 4.4 KB
Line 
1/*
2 * RandomNumberEngine_Encapsulation.hpp
3 *
4 * Created on: Jan 01, 2011
5 * Author: heber
6 */
7
8#ifndef RANDOMNUMBERENGINE_ENCAPSULATION_HPP_
9#define RANDOMNUMBERENGINE_ENCAPSULATION_HPP_
10
11// include config.h
12#ifdef HAVE_CONFIG_H
13#include <config.h>
14#endif
15
16#include <typeinfo>
17
18#include <boost/nondet_random.hpp>
19#include <boost/random.hpp>
20#include <boost/random/additive_combine.hpp>
21#include <boost/random/discard_block.hpp>
22#include <boost/random/inversive_congruential.hpp>
23#include <boost/random/lagged_fibonacci.hpp>
24#include <boost/random/linear_congruential.hpp>
25#include <boost/random/linear_feedback_shift.hpp>
26#include <boost/random/mersenne_twister.hpp>
27#include <boost/random/random_number_generator.hpp>
28#include <boost/random/ranlux.hpp>
29#include <boost/random/shuffle_output.hpp>
30#include <boost/random/subtract_with_carry.hpp>
31#include <boost/random/xor_combine.hpp>
32
33#include "CodePatterns/ManipulableClone.hpp"
34#include "RandomNumberEngine.hpp"
35
36class RandomNumberEngineFactory;
37
38#include "RandomNumberEngine_Parameters.hpp"
39
40/** Template class that encapsulates the random number engines from
41 * random::boost.
42 *
43 *
44 * We need one template parameters:
45 * -# the engine - generates uniform random numbers
46 */
47template <class engine>
48class RandomNumberEngine_Encapsulation :
49 public RandomNumberEngine,
50 public ManipulableClone<RandomNumberEngine, RandomNumberEngine_Parameters>
51{
52 /**
53 * Factory is friend such that it can access private cstor when filling its
54 * table
55 */
56 friend class RandomNumberEngineFactory;
57
58public:
59 /** Getter for the whole set of possible parameters.
60 *
61 * @return filled instance of RandomNumberEngine_Parameters
62 */
63 RandomNumberEngine_Parameters* getParameterSet() const
64 {
65 RandomNumberEngine_Parameters *params = new RandomNumberEngine_Parameters();
66 params->getParameters(this);
67 return params;
68 }
69
70 /** Set the engine's seed.
71 *
72 * @param _seed seed to set to
73 */
74 void seed(unsigned int _seed) {
75 value_seed = _seed;
76 engine_type.seed(value_seed);
77 }
78
79 /** Getter for the engine's seed.
80 *
81 * @return seed
82 */
83 unsigned int getseed() const {
84 return value_seed;
85 }
86
87 /** Getter for smallest value the engine produces.
88 *
89 * @return smallest value
90 */
91 double min() const {
92 return engine_type.min();
93 }
94
95 /** Getter for largest value the engine produces.
96 *
97 * @return largest value
98 */
99 double max() const {
100 return engine_type.max();
101 }
102
103 /** Getter for the type name of the internal engine.
104 *
105 */
106 std::string name() {
107 return typeid(engine_type).name();
108 }
109
110 /** Getter for the engine instance.
111 *
112 * @return reference to instance
113 */
114 engine& getEngine() {
115 return engine_type;
116 }
117
118 /** Clones the current instance.
119 *
120 * Implementation of Clone pattern.
121 *
122 * @return interface reference to cloned instance
123 */
124 RandomNumberEngine* clone() const {
125 RandomNumberEngine_Parameters *params = getParameterSet();
126 RandomNumberEngine* MyClone = new RandomNumberEngine_Encapsulation<engine>(*params);
127 delete params;
128 MyClone->seed(getseed());
129 return MyClone;
130 }
131
132 /** Clones and manipulates the current instance.
133 *
134 * Implementation of ManipulableClone pattern.
135 *
136 * @param _params set of parameters to instantiate manipulated clone with
137 * @return interface reference to cloned&manipulated instance
138 */
139 ManipulableClone<RandomNumberEngine, RandomNumberEngine_Parameters>*
140 manipulatedclone(const RandomNumberEngine_Parameters &_params) const {
141 RandomNumberEngine_Encapsulation<engine>* MyClone = NULL;
142 MyClone = new RandomNumberEngine_Encapsulation<engine>();
143 MyClone->value_seed = _params.seed;
144 MyClone->seed(_params.seed);
145 return MyClone;
146 }
147
148protected:
149 /** Constructor that instantiates a specific random number generator and
150 * distribution.
151 * @param _engine_type instance of the desired engine
152 */
153 RandomNumberEngine_Encapsulation() :
154 value_seed(1)
155 {}
156
157 /** Constructor that instantiates a specific random number generator and
158 * distribution.
159 * @param _engine_type instance of the desired engine
160 */
161 RandomNumberEngine_Encapsulation(const RandomNumberEngine_Parameters &_params) :
162 value_seed(_params.seed)
163 {}
164
165 /** Destructor of the class.
166 *
167 */
168 virtual ~RandomNumberEngine_Encapsulation() {}
169private:
170 engine engine_type;
171 unsigned int value_seed;
172};
173
174#endif /* RANDOMNUMBERENGINE_ENCAPSULATION_HPP_ */
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