libcruft-util/random.hpp

280 lines
8.9 KiB
C++

/*
* This Source Code Form is subject to the terms of the Mozilla Public
* License, v. 2.0. If a copy of the MPL was not distributed with this
* file, You can obtain one at http://mozilla.org/MPL/2.0/.
*
* Copyright 2016-2019 Danny Robson <danny@nerdcruft.net>
*/
#pragma once
#include "coord/traits.hpp"
#include "rand/generic.hpp"
#include "rand/distribution/uniform.hpp"
#include <algorithm>
#include <array>
#include <random>
#include <limits>
#include <type_traits>
#include <chrono>
namespace cruft::random {
template <typename T>
concept UniformRandomBitGenerator =
std::is_unsigned_v<typename T::result_type> and
std::is_integral_v<typename T::result_type> and
requires (T t)
{
typename T::result_type;
{ T::min () } -> std::same_as<typename T::result_type>;
{ T::max () } -> std::same_as<typename T::result_type>;
{ t () } -> std::same_as<typename T::result_type>;
};
///////////////////////////////////////////////////////////////////////////
/// Initialise and return a generator using random_device.
template <UniformRandomBitGenerator GeneratorT>
GeneratorT
initialise (void)
{
// Approximate the state size of the generator by its size in bytes.
std::array<unsigned,sizeof (GeneratorT) / sizeof (unsigned) + 1 + 1> seed;
std::generate_n (
seed.begin (),
seed.size () - 1,
std::random_device ()
);
// Append the current time with the highest resolution we have
// available. This defends against instances where the implementation
// of std::random_device is actually deterministic.
seed[seed.size () - 1] = static_cast<unsigned> (
std::chrono::high_resolution_clock::now ().time_since_epoch ().count ()
);
std::seed_seq seq (seed.begin (), seed.end ());
return GeneratorT (seq);
}
///////////////////////////////////////////////////////////////////////////
/// Returns a correctly pre-initialised reference to a thread-local
/// generator of an unspecified (but not entirely useless) type.
///
/// ie, not LCG.
inline auto&
generator (void)
{
using generator_t = cruft::rand::general_generator;
static thread_local auto gen = initialise<generator_t> ();
return gen;
}
///////////////////////////////////////////////////////////////////////////
/// A convenience typedef that selects between
/// std::uniform_real_distribution and std::uniform_int_distribution
/// depending on the supplied value type.
template <typename ValueT>
using uniform_distribution = std::conditional_t<
std::is_floating_point<ValueT>::value,
cruft::rand::distribution::uniform_real_distribution<ValueT>,
cruft::rand::distribution::uniform_int_distribution<ValueT>
>;
///////////////////////////////////////////////////////////////////////////
/// Returns a value chosen uniformly at random the supplied range.
///
/// This is primarily a convenience helper around the uniform_distribution
/// type. As such, the interval is the same as the std library; ie, closed
/// for integers, half-open for reals.
template <typename ValueT, typename GeneratorT>
requires (UniformRandomBitGenerator<std::remove_cvref_t<GeneratorT>>)
decltype(auto)
uniform (ValueT lo, ValueT hi, GeneratorT &&gen)
{
return uniform_distribution<ValueT> { lo, hi } (
std::forward<GeneratorT> (gen)
);
}
///------------------------------------------------------------------------
/// Return a value uniformly random chosen value between lo and hi.
///
/// Interval bounds are treated as per the standard Generator
/// implementations; ie, inclusive for integers, exclusive upper for reals.
template <typename T>
decltype(auto)
uniform (T lo, T hi)
{
return uniform<T> (lo, hi, generator ());
}
///------------------------------------------------------------------------
/// Return a value uniformly chosen between 0 and the given value.
///
/// Interval bounds are treated as per the standard Generator
/// implementations; ie, inclusive for integers, exclusive upper for reals.
template <typename T>
decltype(auto)
uniform (T hi)
{
return uniform<T> (T{0}, hi);
}
///------------------------------------------------------------------------
/// Return a value uniformly chosen between 0 and the given value.
///
/// Interval bounds are treated as per the standard Generator
/// implementations; ie, inclusive for integers, exclusive upper for reals.
template <typename T, typename GeneratorT>
requires (UniformRandomBitGenerator<std::remove_cvref_t<GeneratorT>>)
decltype(auto)
uniform (T hi, GeneratorT &&gen)
{
return uniform<T> (T{0}, hi, std::forward<GeneratorT> (gen));
}
///------------------------------------------------------------------------
/// Return a uniformly random value chosen on the interval [0,1)
template <
typename ValueT,
typename GeneratorT
>
requires (
std::is_floating_point_v<ValueT> and
UniformRandomBitGenerator<std::remove_cvref_t<GeneratorT>>
)
decltype(auto)
uniform (GeneratorT &&gen)
{
return uniform<ValueT> (ValueT{0}, ValueT{1}, std::forward<GeneratorT> (gen));
}
///------------------------------------------------------------------------
/// Return a uniformly random chosen value on the interval [0.f, 1.f)
template <
typename ValueT
>
requires (std::is_floating_point_v<ValueT>)
decltype(auto)
uniform (void)
{
return uniform<ValueT> (ValueT{0}, ValueT{1}, generator ());
}
///------------------------------------------------------------------------
/// Return a uniformly random chosen value over integral values in the type
template <typename T>
requires (std::is_integral_v<T>)
T
uniform (void)
{
return uniform<T> (
std::numeric_limits<T>::min (),
std::numeric_limits<T>::max ()
);
}
///------------------------------------------------------------------------
/// Return a uniformly random chosen value over integral values in the type
template <typename T, typename GeneratorT>
requires (std::is_integral_v<T> and UniformRandomBitGenerator<std::remove_cvref_t<GeneratorT>>)
T
uniform (GeneratorT &&gen)
{
return uniform<T> (
std::numeric_limits<T>::min (),
std::numeric_limits<T>::max (),
std::forward<GeneratorT> (gen)
);
}
///------------------------------------------------------------------------
/// Returns a uniformly random initialised coordinate type by value.
template <
typename ValueT,
typename = std::enable_if_t<
is_coord_v<ValueT> && std::is_floating_point_v<typename ValueT::value_type>
>
>
ValueT
uniform (void)
{
ValueT res;
for (auto &v: res)
v = uniform<typename ValueT::value_type> ();
return res;
}
///////////////////////////////////////////////////////////////////////////
/// Choose a value at random from an array
///
/// We return pointers (rather than values) so that we can return values
/// for empty containers without invalid dereferences.
///
/// \return A pointer to the chosen value.
template <typename T, size_t N>
T*
choose (T (&t)[N])
{
cruft::rand::distribution::uniform_int_distribution<size_t> dist (0, N - 1);
return &t[dist (generator ())];
}
///------------------------------------------------------------------------
/// Choose a value at random from a container.
///
/// We return iterators (rather than values) so that we can return values
/// for empty containers without invalid dereferences.
//
/// \return An iterator to the chosen value.
template <typename ContainerT, typename GeneratorT>
requires (UniformRandomBitGenerator<std::remove_cvref_t<GeneratorT>>)
decltype(auto)
choose (ContainerT &data, GeneratorT &&gen)
{
if (data.empty ())
return data.end ();
auto const offset = uniform (
typename ContainerT::size_type {0},
data.size () - 1,
gen
);
return std::next (data.begin (), offset);
}
///------------------------------------------------------------------------
/// Choose a value at random from a container.
///
/// We return iterators (rather than values) so that we can return values
/// for empty containers without invalid dereferences.
///
/// \return An iterator to the chosen value.
template <typename ContainerT>
decltype(auto)
choose (ContainerT &data)
{
return choose (data, generator ());
}
}