File: uniform_int_distribution.inl

package info (click to toggle)
libthrust 1.17.2-2
  • links: PTS, VCS
  • area: main
  • in suites: bookworm
  • size: 10,900 kB
  • sloc: ansic: 29,519; cpp: 23,989; python: 1,421; sh: 811; perl: 460; makefile: 112
file content (249 lines) | stat: -rw-r--r-- 6,754 bytes parent folder | download | duplicates (2)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
/*
 *  Copyright 2008-2021 NVIDIA Corporation
 *
 *  Licensed under the Apache License, Version 2.0 (the "License");
 *  you may not use this file except in compliance with the License.
 *  You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 *  Unless required by applicable law or agreed to in writing, software
 *  distributed under the License is distributed on an "AS IS" BASIS,
 *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  See the License for the specific language governing permissions and
 *  limitations under the License.
 */

#pragma once

#include <thrust/detail/config.h>

#include <thrust/random/uniform_int_distribution.h>
#include <thrust/random/uniform_real_distribution.h>
#include <thrust/detail/type_traits.h>

THRUST_NAMESPACE_BEGIN

namespace random
{


template<typename IntType>
  __host__ __device__
  uniform_int_distribution<IntType>
    ::uniform_int_distribution(IntType a, IntType b)
      :m_param(a,b)
{
} // end uniform_int_distribution::uniform_int_distribution()


template<typename IntType>
  __host__ __device__
  uniform_int_distribution<IntType>
    ::uniform_int_distribution(const param_type &parm)
      :m_param(parm)
{
} // end uniform_int_distribution::uniform_int_distribution()


template<typename IntType>
  __host__ __device__
  void uniform_int_distribution<IntType>
    ::reset(void)
{
} // end uniform_int_distribution::reset()


template<typename IntType>
  template<typename UniformRandomNumberGenerator>
    __host__ __device__
    typename uniform_int_distribution<IntType>::result_type
      uniform_int_distribution<IntType>
        ::operator()(UniformRandomNumberGenerator &urng)
{
  return operator()(urng, m_param);
} // end uniform_int_distribution::operator()()


template<typename IntType>
  template<typename UniformRandomNumberGenerator>
    __host__ __device__
    typename uniform_int_distribution<IntType>::result_type
      uniform_int_distribution<IntType>
        ::operator()(UniformRandomNumberGenerator &urng, const param_type &parm)
{
  // XXX this implementation is somewhat hacky and will skip
  //     values if the range of the RNG is smaller than the range of the distribution
  //     we should improve this implementation in a later version

  typedef typename thrust::detail::largest_available_float::type float_type;

  const float_type real_min(static_cast<float_type>(parm.first));
  const float_type real_max(static_cast<float_type>(parm.second));

  // add one to the right end of the interval because it is half-open
  // XXX adding 1.0 to a potentially large floating point number seems like a bad idea
  uniform_real_distribution<float_type> real_dist(real_min, real_max + float_type(1));

  return static_cast<result_type>(real_dist(urng));
} // end uniform_int_distribution::operator()()


template<typename IntType>
  __host__ __device__
  typename uniform_int_distribution<IntType>::result_type
    uniform_int_distribution<IntType>
      ::a(void) const
{
  return m_param.first;
} // end uniform_int_distribution<IntType>::a()


template<typename IntType>
  __host__ __device__
  typename uniform_int_distribution<IntType>::result_type
    uniform_int_distribution<IntType>
      ::b(void) const
{
  return m_param.second;
} // end uniform_int_distribution::b()


template<typename IntType>
  __host__ __device__
  typename uniform_int_distribution<IntType>::param_type
    uniform_int_distribution<IntType>
      ::param(void) const
{
  return m_param;
} // end uniform_int_distribution::param()


template<typename IntType>
  __host__ __device__
  void uniform_int_distribution<IntType>
    ::param(const param_type &parm)
{
  m_param = parm;
} // end uniform_int_distribution::param()


template<typename IntType>
  __host__ __device__
  typename uniform_int_distribution<IntType>::result_type
    uniform_int_distribution<IntType>
      ::min THRUST_PREVENT_MACRO_SUBSTITUTION (void) const
{
  return a();
} // end uniform_int_distribution::min()


template<typename IntType>
  __host__ __device__
  typename uniform_int_distribution<IntType>::result_type
    uniform_int_distribution<IntType>
      ::max THRUST_PREVENT_MACRO_SUBSTITUTION (void) const
{
  return b();
} // end uniform_int_distribution::max()


template<typename IntType>
  __host__ __device__
  bool uniform_int_distribution<IntType>
    ::equal(const uniform_int_distribution &rhs) const
{
  return param() == rhs.param();
}


template<typename IntType>
  template<typename CharT, typename Traits>
    std::basic_ostream<CharT,Traits>&
      uniform_int_distribution<IntType>
        ::stream_out(std::basic_ostream<CharT,Traits> &os) const
{
  typedef std::basic_ostream<CharT,Traits> ostream_type;
  typedef typename ostream_type::ios_base  ios_base;

  // save old flags and fill character
  const typename ios_base::fmtflags flags = os.flags();
  const CharT fill = os.fill();

  const CharT space = os.widen(' ');
  os.flags(ios_base::dec | ios_base::fixed | ios_base::left);
  os.fill(space);

  os << a() << space << b();

  // restore old flags and fill character
  os.flags(flags);
  os.fill(fill);
  return os;
}


template<typename IntType>
  template<typename CharT, typename Traits>
    std::basic_istream<CharT,Traits>&
      uniform_int_distribution<IntType>
        ::stream_in(std::basic_istream<CharT,Traits> &is)
{
  typedef std::basic_istream<CharT,Traits> istream_type;
  typedef typename istream_type::ios_base  ios_base;

  // save old flags
  const typename ios_base::fmtflags flags = is.flags();

  is.flags(ios_base::skipws);

  is >> m_param.first >> m_param.second;

  // restore old flags
  is.flags(flags);
  return is;
}


template<typename IntType>
__host__ __device__
bool operator==(const uniform_int_distribution<IntType> &lhs,
                const uniform_int_distribution<IntType> &rhs)
{
  return thrust::random::detail::random_core_access::equal(lhs,rhs);
}


template<typename IntType>
__host__ __device__
bool operator!=(const uniform_int_distribution<IntType> &lhs,
                const uniform_int_distribution<IntType> &rhs)
{
  return !(lhs == rhs);
}


template<typename IntType,
         typename CharT, typename Traits>
std::basic_ostream<CharT,Traits>&
operator<<(std::basic_ostream<CharT,Traits> &os,
           const uniform_int_distribution<IntType> &d)
{
  return thrust::random::detail::random_core_access::stream_out(os,d);
}


template<typename IntType,
         typename CharT, typename Traits>
std::basic_istream<CharT,Traits>&
operator>>(std::basic_istream<CharT,Traits> &is,
           uniform_int_distribution<IntType> &d)
{
  return thrust::random::detail::random_core_access::stream_in(is,d);
}


} // end random

THRUST_NAMESPACE_END