/usr/include/xtensor/xrandom.hpp is in xtensor-dev 0.10.11-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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 | /***************************************************************************
* Copyright (c) 2016, Johan Mabille, Sylvain Corlay and Wolf Vollprecht *
* *
* Distributed under the terms of the BSD 3-Clause License. *
* *
* The full license is in the file LICENSE, distributed with this software. *
****************************************************************************/
/**
* @brief functions to obtain xgenerators generating random numbers with given shape
*/
#ifndef XRANDOM_HPP
#define XRANDOM_HPP
#include <functional>
#include <random>
#include <utility>
#include "xgenerator.hpp"
namespace xt
{
/*********************
* Random generators *
*********************/
namespace random
{
using default_engine_type = std::mt19937;
using seed_type = default_engine_type::result_type;
default_engine_type& get_default_random_engine();
void seed(seed_type seed);
template <class T, class S, class E = random::default_engine_type>
auto rand(const S& shape, T lower = 0, T upper = 1,
E& engine = random::get_default_random_engine());
template <class T, class S, class E = random::default_engine_type>
auto randint(const S& shape, T lower = 0, T upper = std::numeric_limits<T>::max(),
E& engine = random::get_default_random_engine());
template <class T, class S, class E = random::default_engine_type>
auto randn(const S& shape, T mean = 0, T std_dev = 1,
E& engine = random::get_default_random_engine());
#ifdef X_OLD_CLANG
template <class T, class I, class E = random::default_engine_type>
auto rand(std::initializer_list<I> shape, T lower = 0, T upper = 1,
E& engine = random::get_default_random_engine());
template <class T, class I, class E = random::default_engine_type>
auto randint(std::initializer_list<I> shape,
T lower = 0, T upper = std::numeric_limits<T>::max(),
E& engine = random::get_default_random_engine());
template <class T, class I, class E = random::default_engine_type>
auto randn(std::initializer_list<I>, T mean = 0, T std_dev = 1,
E& engine = random::get_default_random_engine());
#else
template <class T, class I, std::size_t L, class E = random::default_engine_type>
auto rand(const I (&shape)[L], T lower = 0, T upper = 1,
E& engine = random::get_default_random_engine());
template <class T, class I, std::size_t L, class E = random::default_engine_type>
auto randint(const I (&shape)[L], T lower = 0, T upper = std::numeric_limits<T>::max(),
E& engine = random::get_default_random_engine());
template <class T, class I, std::size_t L, class E = random::default_engine_type>
auto randn(const I (&shape)[L], T mean = 0, T std_dev = 1,
E& engine = random::get_default_random_engine());
#endif
}
namespace detail
{
template <class T>
struct random_impl
{
using value_type = T;
random_impl(std::function<value_type()>&& generator)
: m_generator(std::move(generator))
{
}
template <class... Args>
inline value_type operator()(Args...) const
{
return m_generator();
}
template <class It>
inline value_type element(It, It) const
{
return m_generator();
}
private:
std::function<value_type()> m_generator;
};
}
namespace random
{
/**
* Returns a reference to the default random number engine
*/
inline default_engine_type& get_default_random_engine()
{
static default_engine_type mt;
return mt;
}
/**
* Seeds the default random number generator with @p seed
* @param seed The seed
*/
inline void seed(seed_type seed)
{
get_default_random_engine().seed(seed);
}
/**
* xexpression with specified @p shape containing uniformly distributed random numbers
* in the interval from @p lower to @p upper, excluding upper.
*
* Numbers are drawn from @c std::uniform_real_distribution.
*
* @param shape shape of resulting xexpression
* @param lower lower bound
* @param upper upper bound
* @param engine random number engine
* @tparam T number type to use
*/
template <class T, class S, class E>
inline auto rand(const S& shape, T lower, T upper, E& engine)
{
std::uniform_real_distribution<T> dist(lower, upper);
return detail::make_xgenerator(detail::random_impl<T>(std::bind(dist, std::ref(engine))), shape);
}
/**
* xexpression with specified @p shape containing uniformly distributed
* random integers in the interval from @p lower to @p upper, excluding upper.
*
* Numbers are drawn from @c std::uniform_int_distribution.
*
* @param shape shape of resulting xexpression
* @param lower lower bound
* @param upper upper bound
* @param engine random number engine
* @tparam T number type to use
*/
template <class T, class S, class E>
inline auto randint(const S& shape, T lower, T upper, E& engine)
{
std::uniform_int_distribution<T> dist(lower, upper - 1);
return detail::make_xgenerator(detail::random_impl<T>(std::bind(dist, std::ref(engine))), shape);
}
/**
* xexpression with specified @p shape containing numbers sampled from
* the Normal (Gaussian) random number distribution with mean @p mean and
* standard deviation @p std_dev.
*
* Numbers are drawn from @c std::normal_distribution.
*
* @param shape shape of resulting xexpression
* @param mean mean of normal distribution
* @param std_dev standard deviation of normal distribution
* @param engine random number engine
* @tparam T number type to use
*/
template <class T, class S, class E>
inline auto randn(const S& shape, T mean, T std_dev, E& engine)
{
std::normal_distribution<T> dist(mean, std_dev);
return detail::make_xgenerator(detail::random_impl<T>(std::bind(dist, std::ref(engine))), shape);
}
#ifdef X_OLD_CLANG
template <class T, class I, class E>
inline auto rand(std::initializer_list<I> shape, T lower, T upper, E& engine)
{
std::uniform_real_distribution<T> dist(lower, upper);
return detail::make_xgenerator(detail::random_impl<T>(std::bind(dist, std::ref(engine))), shape);
}
template <class T, class I, class E>
inline auto randint(std::initializer_list<I> shape, T lower, T upper, E& engine)
{
std::uniform_int_distribution<T> dist(lower, upper - 1);
return detail::make_xgenerator(detail::random_impl<T>(std::bind(dist, std::ref(engine))), shape);
}
template <class T, class I, class E>
inline auto randn(std::initializer_list<I> shape, T mean, T std_dev, E& engine)
{
std::normal_distribution<T> dist(mean, std_dev);
return detail::make_xgenerator(detail::random_impl<T>(std::bind(dist, std::ref(engine))), shape);
}
#else
template <class T, class I, std::size_t L, class E>
inline auto rand(const I (&shape)[L], T lower, T upper, E& engine)
{
std::uniform_real_distribution<T> dist(lower, upper);
return detail::make_xgenerator(detail::random_impl<T>(std::bind(dist, std::ref(engine))), shape);
}
template <class T, class I, std::size_t L, class E>
inline auto randint(const I (&shape)[L], T lower, T upper, E& engine)
{
std::uniform_int_distribution<T> dist(lower, upper - 1);
return detail::make_xgenerator(detail::random_impl<T>(std::bind(dist, std::ref(engine))), shape);
}
template <class T, class I, std::size_t L, class E>
inline auto randn(const I (&shape)[L], T mean, T std_dev, E& engine)
{
std::normal_distribution<T> dist(mean, std_dev);
return detail::make_xgenerator(detail::random_impl<T>(std::bind(dist, std::ref(engine))), shape);
}
#endif
}
}
#endif
|