Danny Robson
9a8679c733
This helps a little in some debugging situations and isn't terrifically expensive.
176 lines
5.3 KiB
C++
176 lines
5.3 KiB
C++
/*
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* This Source Code Form is subject to the terms of the Mozilla Public
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* License, v. 2.0. If a copy of the MPL was not distributed with this
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* file, You can obtain one at http://mozilla.org/MPL/2.0/.
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*
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* Copyright 2016-2019 Danny Robson <danny@nerdcruft.net>
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*/
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#pragma once
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#include "coord/traits.hpp"
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#include <algorithm>
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#include <array>
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#include <random>
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#include <limits>
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#include <type_traits>
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namespace cruft::random {
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///////////////////////////////////////////////////////////////////////////
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/// Initialise and return a generator using random_device.
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template <typename GeneratorT>
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GeneratorT
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initialise (void)
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{
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// Approximate the state size of the generator by its size in bytes.
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std::array<unsigned,sizeof (GeneratorT) / sizeof (unsigned) + 1> seed;
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std::generate (seed.begin (), seed.end (), std::random_device ());
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std::seed_seq seq (seed.begin (), seed.end ());
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return GeneratorT (seq);
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}
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///////////////////////////////////////////////////////////////////////////
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/// Returns a correctly pre-initialised reference to a thread-local
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/// generator of an unspecified (but not entirely useless) type.
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///
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/// ie, not LCG.
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inline auto&
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generator (void)
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{
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using generator_t = std::mt19937_64;
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static thread_local auto gen = initialise<generator_t> ();
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return gen;
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}
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///////////////////////////////////////////////////////////////////////////
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/// A convenience typedef that selects between
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/// std::uniform_real_distribution and std::uniform_int_distribution
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/// depending on the supplied value type.
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template <typename ValueT>
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using uniform_distribution = std::conditional_t<
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std::is_floating_point<ValueT>::value,
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std::uniform_real_distribution<ValueT>,
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std::uniform_int_distribution<ValueT>
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>;
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///////////////////////////////////////////////////////////////////////////
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/// Returns a value chosen uniformly at random the supplied range.
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///
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/// This is primarily a convenience helper around the uniform_distribution
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/// type. As such, the interval is the same as the std library; ie, closed
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/// for integers, half-open for reals.
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template <typename ValueT, typename GeneratorT>
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decltype(auto)
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uniform (ValueT lo, ValueT hi, GeneratorT &&gen)
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{
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return uniform_distribution<ValueT> { lo, hi } (
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std::forward<GeneratorT> (gen)
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);
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}
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///------------------------------------------------------------------------
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/// Return a value uniformly random chosen value between lo and hi.
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///
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/// Interval bounds are treated as per the standard Generator
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/// implementations; ie, inclusive for integers, exclusive upper for reals.
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template <typename T>
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decltype(auto)
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uniform (T lo, T hi)
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{
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return uniform<T> (lo, hi, generator ());
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}
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///------------------------------------------------------------------------
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/// Return a uniformly random value chosen on the interval [0,1)
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template <
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typename ValueT,
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typename GeneratorT,
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typename = std::enable_if_t<std::is_floating_point_v<ValueT>>
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>
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decltype(auto)
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uniform (GeneratorT &&gen)
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{
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return uniform<ValueT> (ValueT{0}, ValueT{1}, std::forward<GeneratorT> (gen));
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}
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///------------------------------------------------------------------------
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/// Return a uniformly random chosen value on the interval [0.f, 1.f)
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template <
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typename ValueT,
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typename = std::enable_if_t<std::is_floating_point_v<ValueT>>
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>
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decltype(auto)
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uniform (void)
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{
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return uniform<ValueT> (ValueT{0}, ValueT{1}, generator ());
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}
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///------------------------------------------------------------------------
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/// Return a uniformly random chosen value on the interval [0, 1]
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template <typename T>
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std::enable_if_t<std::is_integral_v<T>,T>
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uniform (void)
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{
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return uniform<T> (
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std::numeric_limits<T>::min (),
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std::numeric_limits<T>::max ()
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);
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}
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///------------------------------------------------------------------------
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/// Returns a uniformly random initialised coordinate type by value.
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template <
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typename ValueT,
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typename = std::enable_if_t<
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is_coord_v<ValueT> && std::is_floating_point_v<typename ValueT::value_type>
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>
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>
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ValueT
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uniform (void)
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{
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ValueT res;
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for (auto &v: res)
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v = uniform<typename ValueT::value_type> ();
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return res;
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}
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///////////////////////////////////////////////////////////////////////////
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/// choose a value at random from an array
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template <typename T, size_t N>
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T&
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choose (T (&t)[N])
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{
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std::uniform_int_distribution<size_t> dist (0, N - 1);
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return t[dist (generator ())];
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}
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//-------------------------------------------------------------------------
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template <typename ContainerT>
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auto
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choose (ContainerT &data)
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{
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if (data.empty ())
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return data.end ();
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auto const offset = uniform (
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typename ContainerT::size_type {0},
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data.size () - 1
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);
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return std::next (data.begin (), offset);
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}
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}
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