1 /* boost random/uniform_real_distribution.hpp header file
2  *
3  * Copyright Jens Maurer 2000-2001
4  * Copyright Steven Watanabe 2011
5  * Distributed under the Boost Software License, Version 1.0. (See
6  * accompanying file LICENSE_1_0.txt or copy at
7  * http://www.boost.org/LICENSE_1_0.txt)
8  *
9  * See http://www.boost.org for most recent version including documentation.
10  *
11  * $Id$
12  *
13  */
14 
15 #ifndef BOOST_RANDOM_UNIFORM_REAL_DISTRIBUTION_HPP
16 #define BOOST_RANDOM_UNIFORM_REAL_DISTRIBUTION_HPP
17 
18 #include <iosfwd>
19 #include <ios>
20 #include <istream>
21 #include <boost/assert.hpp>
22 #include <boost/config.hpp>
23 #include <boost/random/detail/config.hpp>
24 #include <boost/random/detail/operators.hpp>
25 #include <boost/random/detail/signed_unsigned_tools.hpp>
26 #include <boost/type_traits/is_integral.hpp>
27 #include <boost/mpl/bool.hpp>
28 
29 namespace boost {
30 namespace random {
31 namespace detail {
32 
33 template<class Engine, class T>
generate_uniform_real(Engine & eng,T min_value,T max_value,boost::mpl::false_)34 T generate_uniform_real(
35     Engine& eng, T min_value, T max_value,
36     boost::mpl::false_  /** is_integral<Engine::result_type> */)
37 {
38     for(;;) {
39         typedef T result_type;
40         result_type numerator = static_cast<T>(eng() - (eng.min)());
41         result_type divisor = static_cast<T>((eng.max)() - (eng.min)());
42         BOOST_ASSERT(divisor > 0);
43         BOOST_ASSERT(numerator >= 0 && numerator <= divisor);
44         T result = numerator / divisor * (max_value - min_value) + min_value;
45         if(result < max_value) return result;
46     }
47 }
48 
49 template<class Engine, class T>
generate_uniform_real(Engine & eng,T min_value,T max_value,boost::mpl::true_)50 T generate_uniform_real(
51     Engine& eng, T min_value, T max_value,
52     boost::mpl::true_  /** is_integral<Engine::result_type> */)
53 {
54     for(;;) {
55         typedef T result_type;
56         typedef typename Engine::result_type base_result;
57         result_type numerator = static_cast<T>(subtract<base_result>()(eng(), (eng.min)()));
58         result_type divisor = static_cast<T>(subtract<base_result>()((eng.max)(), (eng.min)())) + 1;
59         BOOST_ASSERT(divisor > 0);
60         BOOST_ASSERT(numerator >= 0 && numerator <= divisor);
61         T result = numerator / divisor * (max_value - min_value) + min_value;
62         if(result < max_value) return result;
63     }
64 }
65 
66 template<class Engine, class T>
generate_uniform_real(Engine & eng,T min_value,T max_value)67 inline T generate_uniform_real(Engine& eng, T min_value, T max_value)
68 {
69     if(max_value / 2 - min_value / 2 > (std::numeric_limits<T>::max)() / 2)
70         return 2 * generate_uniform_real(eng, T(min_value / 2), T(max_value / 2));
71     typedef typename Engine::result_type base_result;
72     return generate_uniform_real(eng, min_value, max_value,
73         boost::is_integral<base_result>());
74 }
75 
76 }
77 
78 /**
79  * The class template uniform_real_distribution models a \random_distribution.
80  * On each invocation, it returns a random floating-point value uniformly
81  * distributed in the range [min..max).
82  */
83 template<class RealType = double>
84 class uniform_real_distribution
85 {
86 public:
87     typedef RealType input_type;
88     typedef RealType result_type;
89 
90     class param_type
91     {
92     public:
93 
94         typedef uniform_real_distribution distribution_type;
95 
96         /**
97          * Constructs the parameters of a uniform_real_distribution.
98          *
99          * Requires min <= max
100          */
param_type(RealType min_arg=RealType (0.0),RealType max_arg=RealType (1.0))101         explicit param_type(RealType min_arg = RealType(0.0),
102                             RealType max_arg = RealType(1.0))
103           : _min(min_arg), _max(max_arg)
104         {
105             BOOST_ASSERT(_min < _max);
106         }
107 
108         /** Returns the minimum value of the distribution. */
a() const109         RealType a() const { return _min; }
110         /** Returns the maximum value of the distribution. */
b() const111         RealType b() const { return _max; }
112 
113         /** Writes the parameters to a @c std::ostream. */
BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os,param_type,parm)114         BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os, param_type, parm)
115         {
116             os << parm._min << " " << parm._max;
117             return os;
118         }
119 
120         /** Reads the parameters from a @c std::istream. */
BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is,param_type,parm)121         BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is, param_type, parm)
122         {
123             RealType min_in, max_in;
124             if(is >> min_in >> std::ws >> max_in) {
125                 if(min_in <= max_in) {
126                     parm._min = min_in;
127                     parm._max = max_in;
128                 } else {
129                     is.setstate(std::ios_base::failbit);
130                 }
131             }
132             return is;
133         }
134 
135         /** Returns true if the two sets of parameters are equal. */
BOOST_RANDOM_DETAIL_EQUALITY_OPERATOR(param_type,lhs,rhs)136         BOOST_RANDOM_DETAIL_EQUALITY_OPERATOR(param_type, lhs, rhs)
137         { return lhs._min == rhs._min && lhs._max == rhs._max; }
138 
139         /** Returns true if the two sets of parameters are different. */
140         BOOST_RANDOM_DETAIL_INEQUALITY_OPERATOR(param_type)
141 
142     private:
143 
144         RealType _min;
145         RealType _max;
146     };
147 
148     /**
149      * Constructs a uniform_real_distribution. @c min and @c max are
150      * the parameters of the distribution.
151      *
152      * Requires: min <= max
153      */
uniform_real_distribution(RealType min_arg=RealType (0.0),RealType max_arg=RealType (1.0))154     explicit uniform_real_distribution(
155         RealType min_arg = RealType(0.0),
156         RealType max_arg = RealType(1.0))
157       : _min(min_arg), _max(max_arg)
158     {
159         BOOST_ASSERT(min_arg < max_arg);
160     }
161     /** Constructs a uniform_real_distribution from its parameters. */
uniform_real_distribution(const param_type & parm)162     explicit uniform_real_distribution(const param_type& parm)
163       : _min(parm.a()), _max(parm.b()) {}
164 
165     /**  Returns the minimum value of the distribution */
BOOST_PREVENT_MACRO_SUBSTITUTION() const166     RealType min BOOST_PREVENT_MACRO_SUBSTITUTION () const { return _min; }
167     /**  Returns the maximum value of the distribution */
BOOST_PREVENT_MACRO_SUBSTITUTION() const168     RealType max BOOST_PREVENT_MACRO_SUBSTITUTION () const { return _max; }
169 
170     /**  Returns the minimum value of the distribution */
a() const171     RealType a() const { return _min; }
172     /**  Returns the maximum value of the distribution */
b() const173     RealType b() const { return _max; }
174 
175     /** Returns the parameters of the distribution. */
param() const176     param_type param() const { return param_type(_min, _max); }
177     /** Sets the parameters of the distribution. */
param(const param_type & parm)178     void param(const param_type& parm)
179     {
180         _min = parm.a();
181         _max = parm.b();
182     }
183 
184     /**
185      * Effects: Subsequent uses of the distribution do not depend
186      * on values produced by any engine prior to invoking reset.
187      */
reset()188     void reset() { }
189 
190     /** Returns a value uniformly distributed in the range [min, max). */
191     template<class Engine>
operator ()(Engine & eng) const192     result_type operator()(Engine& eng) const
193     { return detail::generate_uniform_real(eng, _min, _max); }
194 
195     /**
196      * Returns a value uniformly distributed in the range
197      * [param.a(), param.b()).
198      */
199     template<class Engine>
operator ()(Engine & eng,const param_type & parm) const200     result_type operator()(Engine& eng, const param_type& parm) const
201     { return detail::generate_uniform_real(eng, parm.a(), parm.b()); }
202 
203     /** Writes the distribution to a @c std::ostream. */
BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os,uniform_real_distribution,ud)204     BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os, uniform_real_distribution, ud)
205     {
206         os << ud.param();
207         return os;
208     }
209 
210     /** Reads the distribution from a @c std::istream. */
BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is,uniform_real_distribution,ud)211     BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is, uniform_real_distribution, ud)
212     {
213         param_type parm;
214         if(is >> parm) {
215             ud.param(parm);
216         }
217         return is;
218     }
219 
220     /**
221      * Returns true if the two distributions will produce identical sequences
222      * of values given equal generators.
223      */
BOOST_RANDOM_DETAIL_EQUALITY_OPERATOR(uniform_real_distribution,lhs,rhs)224     BOOST_RANDOM_DETAIL_EQUALITY_OPERATOR(uniform_real_distribution, lhs, rhs)
225     { return lhs._min == rhs._min && lhs._max == rhs._max; }
226 
227     /**
228      * Returns true if the two distributions may produce different sequences
229      * of values given equal generators.
230      */
231     BOOST_RANDOM_DETAIL_INEQUALITY_OPERATOR(uniform_real_distribution)
232 
233 private:
234     RealType _min;
235     RealType _max;
236 };
237 
238 } // namespace random
239 } // namespace boost
240 
241 #endif // BOOST_RANDOM_UNIFORM_INT_HPP
242