source: src/RandomNumbers/RandomNumberDistribution_Encapsulation.cpp@ 1ee3b8d

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Last change on this file since 1ee3b8d was 081e5d, checked in by Frederik Heber <heber@…>, 15 years ago

Implemented all possible parameter functions for engine and distribution in interface.

  • template member function has an ASSERT.
  • and then for each actually present parameter function of a specific engine or distribution there is a function specialization that passes on the request.
  • minimal use is made in the engine and distribution factory unit tests and everything is fine so far.
  • Property mode set to 100644
File size: 4.5 KB
Line 
1/*
2 * Project: MoleCuilder
3 * Description: creates and alters molecular systems
4 * Copyright (C) 2010 University of Bonn. All rights reserved.
5 * Please see the LICENSE file or "Copyright notice" in builder.cpp for details.
6 */
7
8/*
9 * \file RandomNumberDistribution_Encapsulation_impl.hpp
10 *
11 * Herein we place specializations of specific functions for specific distributions.
12 *
13 * Created on: Jan 5, 2011
14 * Author: heber
15 */
16
17// include config.h
18#ifdef HAVE_CONFIG_H
19#include <config.h>
20#endif
21
22#include "CodePatterns/MemDebug.hpp"
23
24#include "RandomNumberDistribution_Encapsulation.hpp"
25
26
27/* =============== min() ======================= */
28
29template <>
30double RandomNumberDistribution_Encapsulation< boost::uniform_smallint<> >::min() const
31{
32 return distribution_type.min();
33}
34
35template <>
36double RandomNumberDistribution_Encapsulation< boost::uniform_int<> >::min() const
37{
38 return distribution_type.min();
39}
40
41template <>
42double RandomNumberDistribution_Encapsulation< boost::uniform_01<> >::min() const
43{
44 return distribution_type.min();
45}
46
47template <>
48double RandomNumberDistribution_Encapsulation< boost::uniform_real<> >::min() const
49{
50 return distribution_type.min();
51}
52
53
54
55/* =============== max() ======================= */
56
57template <>
58double RandomNumberDistribution_Encapsulation< boost::uniform_smallint<> >::max() const
59{
60 return distribution_type.max();
61}
62
63template <>
64double RandomNumberDistribution_Encapsulation< boost::uniform_int<> >::max() const
65{
66 return distribution_type.max();
67}
68
69template <>
70double RandomNumberDistribution_Encapsulation< boost::uniform_01<> >::max() const
71{
72 return distribution_type.max();
73}
74
75template <>
76double RandomNumberDistribution_Encapsulation< boost::uniform_real<> >::max() const
77{
78 return distribution_type.max();
79}
80
81
82/* =============== p() ======================= */
83
84template <>
85double RandomNumberDistribution_Encapsulation< boost::bernoulli_distribution<> >::p() const
86{
87 return distribution_type.p();
88}
89
90template <>
91double RandomNumberDistribution_Encapsulation< boost::binomial_distribution<> >::p() const
92{
93 return distribution_type.p();
94}
95
96template <>
97double RandomNumberDistribution_Encapsulation< boost::geometric_distribution<> >::p() const
98{
99 return distribution_type.p();
100}
101
102
103/* =============== t() ======================= */
104
105template <>
106double RandomNumberDistribution_Encapsulation< boost::binomial_distribution<> >::t() const
107{
108 return distribution_type.t();
109}
110
111/* =============== median() ======================= */
112
113template <>
114double RandomNumberDistribution_Encapsulation< boost::cauchy_distribution<> >::median() const
115{
116 return distribution_type.median();
117}
118
119/* =============== sigma() ======================= */
120
121template <>
122double RandomNumberDistribution_Encapsulation< boost::cauchy_distribution<> >::sigma() const
123{
124 return distribution_type.sigma();
125}
126
127template <>
128double RandomNumberDistribution_Encapsulation< boost::normal_distribution<> >::sigma() const
129{
130 return distribution_type.sigma();
131}
132
133template <>
134double RandomNumberDistribution_Encapsulation< boost::lognormal_distribution<> >::sigma() const
135{
136 return distribution_type.sigma();
137}
138
139/* =============== alpha() ======================= */
140
141template <>
142double RandomNumberDistribution_Encapsulation< boost::gamma_distribution<> >::alpha() const
143{
144 return distribution_type.alpha();
145}
146
147
148/* =============== mean() ======================= */
149
150template <>
151double RandomNumberDistribution_Encapsulation< boost::poisson_distribution<> >::mean() const
152{
153 return distribution_type.mean();
154}
155
156template <>
157double RandomNumberDistribution_Encapsulation< boost::normal_distribution<> >::mean() const
158{
159 return distribution_type.mean();
160}
161
162template <>
163double RandomNumberDistribution_Encapsulation< boost::lognormal_distribution<> >::mean() const
164{
165 return distribution_type.mean();
166}
167
168/* =============== a() ======================= */
169
170template <>
171double RandomNumberDistribution_Encapsulation< boost::triangle_distribution<> >::a() const
172{
173 return distribution_type.a();
174}
175
176
177/* =============== b() ======================= */
178
179template <>
180double RandomNumberDistribution_Encapsulation< boost::triangle_distribution<> >::b() const
181{
182 return distribution_type.b();
183}
184
185
186/* =============== c() ======================= */
187
188template <>
189double RandomNumberDistribution_Encapsulation< boost::triangle_distribution<> >::c() const
190{
191 return distribution_type.c();
192}
193
194
195/* =============== lambda() ======================= */
196
197template <>
198double RandomNumberDistribution_Encapsulation< boost::exponential_distribution<> >::lambda() const
199{
200 return distribution_type.lambda();
201}
202
203
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