Louis Dionne 585da50d7d
[third-party] Add a snapshot of Boost.Math 1.89 standalone (#141508)
This PR adds the code of Boost.Math as of version 1.89 into the
third-party directory, as discussed in a recent RFC [1].

The goal is for this code to be used as a back-end for the C++17
Math Special Functions.

As explained in third-paty/README.md, this code is cleared for
usage inside libc++ for the Math Special functions, however
the LLVM Foundation should be consulted before using this
code anywhere else in the LLVM project, due to the fact
that it is under the Boost Software License (as opposed
to the usual LLVM license). See the RFC [1] for more details.

[1]: https://discourse.llvm.org/t/rfc-libc-taking-a-dependency-on-boost-math-for-the-c-17-math-special-functions
2025-10-27 14:43:57 -07:00

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2.4 KiB
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// (C) Copyright Nick Thompson 2018.
// (C) Copyright Matt Borland 2021.
// Use, modification and distribution are subject to the
// Boost Software License, Version 1.0. (See accompanying file
// LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
#include <cstddef>
#include <random>
#include <type_traits>
#include <vector>
namespace boost { namespace math {
// To stress test, set global_seed = 0, global_size = huge.
static constexpr std::size_t global_seed = 0;
static constexpr std::size_t global_size = 128;
template<typename T, typename std::enable_if<std::is_floating_point<T>::value, bool>::type = true>
std::vector<T> generate_random_vector(std::size_t size, std::size_t seed)
{
if (seed == 0)
{
std::random_device rd;
seed = rd();
}
std::vector<T> v(size);
std::mt19937_64 gen(seed);
std::normal_distribution<T> dis(0, 1);
for (auto& x : v)
{
x = dis(gen);
}
return v;
}
template<typename T, typename std::enable_if<std::is_floating_point<T>::value, bool>::type = true>
std::vector<T> generate_random_uniform_vector(std::size_t size, std::size_t seed, T lower_bound = T(0), T upper_bound = T(1))
{
if (seed == 0)
{
std::random_device rd;
seed = rd();
}
std::vector<T> v(size);
std::mt19937 gen(seed);
std::uniform_real_distribution<T> dis(lower_bound, upper_bound);
for (auto& x : v)
{
x = dis(gen);
}
return v;
}
template<typename T, typename std::enable_if<std::is_floating_point<T>::value, bool>::type = true>
std::vector<T> generate_random_vector(std::size_t size, std::size_t seed, T mean, T stddev)
{
if (seed == 0)
{
std::random_device rd;
seed = rd();
}
std::vector<T> v(size);
std::mt19937 gen(seed);
std::normal_distribution<T> dis(mean, stddev);
for (auto& x : v)
{
x = dis(gen);
}
return v;
}
template<typename T, typename std::enable_if<std::is_integral<T>::value, bool>::type = true>
std::vector<T> generate_random_vector(std::size_t size, std::size_t seed)
{
if (seed == 0)
{
std::random_device rd;
seed = rd();
}
std::vector<T> v(size);
std::mt19937_64 gen(seed);
// Rescaling by larger than 2 is UB!
std::uniform_int_distribution<T> dis(std::numeric_limits<T>::lowest()/2, (std::numeric_limits<T>::max)()/2);
for (auto& x : v)
{
x = dis(gen);
}
return v;
}
}} // Namespaces