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Sprout/sprout/random/seed_array.hpp
bolero-MURAKAMI 09bff1e262 fix min/max use
2013-11-10 22:13:25 +09:00

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/*=============================================================================
Copyright (c) 2011-2013 Bolero MURAKAMI
https://github.com/bolero-MURAKAMI/Sprout
Distributed under 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)
=============================================================================*/
#ifndef SPROUT_RANDOM_SEED_ARRAY_HPP
#define SPROUT_RANDOM_SEED_ARRAY_HPP
#include <iterator>
#include <cstddef>
#include <cstdint>
#include <initializer_list>
#include <sprout/config.hpp>
#include <sprout/array/array.hpp>
#include <sprout/array/make_array.hpp>
#include <sprout/index_tuple/metafunction.hpp>
#include <sprout/container/traits.hpp>
#include <sprout/container/functions.hpp>
#include <sprout/container/indexes.hpp>
#include <sprout/iterator/type_traits/is_iterator_of.hpp>
#include <sprout/type_traits/enabler_if.hpp>
#include <sprout/algorithm/fixed/result_of.hpp>
#include <sprout/algorithm/fixed/copy.hpp>
#include <sprout/algorithm/fixed/transform.hpp>
#include <sprout/algorithm/cxx14/copy.hpp>
#include <sprout/algorithm/cxx14/fill.hpp>
#include <sprout/range/algorithm/fixed/copy.hpp>
#include <sprout/container/functions.hpp>
#include <sprout/pit/pit.hpp>
#include <sprout/detail/container_complate.hpp>
#include HDR_ALGORITHM_MIN_MAX_SSCRISK_CEL_OR_SPROUT
namespace sprout {
namespace random {
namespace detail {
template<typename UIntType>
class seed_array_init {
public:
template<typename IntType>
SPROUT_CONSTEXPR UIntType operator()(IntType const& x) const {
return static_cast<UIntType>(x % (std::uint_least64_t(2) << 32));
}
};
template<std::size_t N>
class seed_array_impl {
public:
typedef std::uint_least32_t result_type;
protected:
typedef sprout::array<result_type, N> array_type;
protected:
array_type v;
public:
SPROUT_CONSTEXPR seed_array_impl() SPROUT_NOEXCEPT
: v{{}}
{}
template<typename InputIterator>
SPROUT_CONSTEXPR seed_array_impl(InputIterator begin, InputIterator end)
: v(sprout::fixed::transform<array_type>(begin, end, sprout::random::detail::seed_array_init<result_type>()))
{}
};
} // namespace detail
//
// seed_array
//
template<std::size_t N>
class seed_array
: public sprout::random::detail::seed_array_impl<N>
{
private:
typedef sprout::random::detail::seed_array_impl<N> impl_type;
public:
typedef typename impl_type::result_type result_type;
typedef result_type value_type;
typedef std::size_t size_type;
private:
using impl_type::v;
private:
static SPROUT_CONSTEXPR result_type tp(result_type x) {
return x ^ (x >> 27);
}
static SPROUT_CONSTEXPR size_type tval(size_type n) {
return (n >= 623) ? 11
: (n >= 68) ? 7
: (n >= 39) ? 5
: (n >= 7) ? 3
: (n - 1) / 2
;
}
template<typename Result, sprout::index_t... Indexes>
static SPROUT_CONSTEXPR typename sprout::fixed::result_of::algorithm<Result>::type set2_impl(
Result const& result,
size_type kpn, size_type kqn, size_type kn,
typename sprout::container_traits<Result>::value_type r3,
typename sprout::container_traits<Result>::value_type r4,
sprout::index_tuple<Indexes...>
)
{
return sprout::remake<Result>(
result,
sprout::size(result),
(Indexes == kn ? r4
: (result[Indexes]
^ (Indexes == kpn ? r3 : typename sprout::container_traits<Result>::value_type())
^ (Indexes == kqn ? r4 : typename sprout::container_traits<Result>::value_type())
)
)...
);
}
template<typename Result>
static SPROUT_CONSTEXPR typename sprout::fixed::result_of::algorithm<Result>::type set2(
Result const& result,
size_type kpn, size_type kqn, size_type kn,
typename sprout::container_traits<Result>::value_type r3,
typename sprout::container_traits<Result>::value_type r4_3
)
{
return set2_impl(result, kpn, kqn, kn, r3, r3 - r4_3, sprout::container_indexes<Result>::make());
}
template<typename Result, sprout::index_t... Indexes>
static SPROUT_CONSTEXPR typename sprout::fixed::result_of::algorithm<Result>::type set1_impl(
Result const& result,
size_type kpn, size_type kqn, size_type kn,
typename sprout::container_traits<Result>::value_type r1,
typename sprout::container_traits<Result>::value_type r2,
sprout::index_tuple<Indexes...>
)
{
return sprout::remake<Result>(
result,
sprout::size(result),
(Indexes == kn ? r2
: (result[Indexes]
+ (Indexes == kpn ? r1 : typename sprout::container_traits<Result>::value_type())
+ (Indexes == kqn ? r2 : typename sprout::container_traits<Result>::value_type())
)
)...
);
}
template<typename Result>
static SPROUT_CONSTEXPR typename sprout::fixed::result_of::algorithm<Result>::type set1(
Result const& result,
size_type kpn, size_type kqn, size_type kn,
typename sprout::container_traits<Result>::value_type r1,
typename sprout::container_traits<Result>::value_type r2_1
)
{
return set1_impl(result, kpn, kqn, kn, r1, r1 + r2_1, sprout::container_indexes<Result>::make());
}
template<typename Result>
SPROUT_CONSTEXPR typename sprout::fixed::result_of::algorithm<Result>::type gen2(
Result const& result,
size_type n, size_type s, size_type m, size_type t, size_type p, size_type q,
size_type k
) const
{
return k < m + n ? gen2(
set2(
result, (k + p) % n, (k + q) % n, k % n,
1566083941 * tp(result[k % n] + result[(k + p) % n] + result[(k + n - 1) % n]),
k % n
),
n, s, m, t, p, q,
k + 1
)
: sprout::deep_copy(result)
;
}
template<typename Result>
SPROUT_CONSTEXPR typename sprout::fixed::result_of::algorithm<Result>::type gen1_2(
Result const& result,
size_type n, size_type s, size_type m, size_type t, size_type p, size_type q,
size_type k
) const
{
return k < m ? gen1_2(
set1(
result, (k + p) % n, (k + q) % n, k % n,
1664525 * tp(result[k % n] ^ result[(k + p) % n] ^ result[(k - 1) % n]),
k % n
),
n, s, m, t, p, q,
k + 1
)
: sprout::deep_copy(result)
;
}
template<typename Result>
SPROUT_CONSTEXPR typename sprout::fixed::result_of::algorithm<Result>::type gen1_1(
Result const& result,
size_type n, size_type s, size_type m, size_type t, size_type p, size_type q,
size_type k
) const
{
return k <= s ? gen1_1(
set1(
result, (k + p) % n, (k + q) % n, k % n,
1664525 * tp(result[k % n] ^ result[(k + p) % n] ^ result[(k - 1) % n]),
k % n + v[k - 1]
),
n, s, m, t, p, q,
k + 1
)
: sprout::deep_copy(result)
;
}
template<typename Result>
SPROUT_CONSTEXPR typename sprout::fixed::result_of::algorithm<Result>::type gen1_0(
Result const& result,
size_type n, size_type s, size_type p, size_type q
) const
{
return set1(
result, p, q, size_type(0),
1664525 * tp(result[0] ^ result[p] ^ result[n - 1]),
s
);
}
template<typename Result>
SPROUT_CONSTEXPR typename sprout::fixed::result_of::algorithm<Result>::type gen_impl(
Result const& result,
size_type n, size_type s, size_type m, size_type t, size_type p, size_type q
) const
{
return gen2(
gen1_2(
gen1_1(
gen1_0(
result,
n, s, p, q
),
n, s, m, t, p, q,
1
),
n, s, m, t, p, q,
s + 1
),
n, s, m, t, p, q,
m
);
}
template<typename Result, typename TempResult>
SPROUT_CONSTEXPR typename sprout::fixed::result_of::algorithm<Result>::type gen(
Result const& result, TempResult const& temp_result,
size_type n, size_type s, size_type m, size_type t
) const
{
return sprout::range::fixed::copy(
gen_impl(temp_result, n, s, m, t, (n - t) / 2, (n - t) / 2 + t),
result
);
}
public:
SPROUT_CONSTEXPR seed_array() SPROUT_NOEXCEPT
: impl_type()
{}
seed_array(seed_array const&) = default;
template<typename T>
SPROUT_INITIALIZER_LIST_CONSTEXPR seed_array(std::initializer_list<T> il)
: impl_type(il.begin(), il.end())
{}
template<typename InputIterator>
SPROUT_CONSTEXPR seed_array(InputIterator begin, InputIterator end)
: impl_type(begin, end)
{}
template<typename InputRange>
explicit SPROUT_CONSTEXPR seed_array(InputRange const& rng)
: impl_type(sprout::begin(rng), sprout::end(rng))
{}
template<typename RandomAccessIterator>
SPROUT_CXX14_CONSTEXPR void generate(RandomAccessIterator begin, RandomAccessIterator end) const {
typedef typename std::iterator_traits<RandomAccessIterator>::value_type value_type;
if (begin == end) {
return;
}
sprout::fill(begin, end, static_cast<value_type>(0x8b8b8b8bu));
size_type n = end - begin;
size_type s = size();
size_type m = NS_SSCRISK_CEL_OR_SPROUT::max(s + 1, n);
size_type t = tval(n);
size_type p = (n - t) / 2;
size_type q = p + t;
for (size_type k = 0; k < m; ++k) {
size_type kn = k % n;
size_type kpn = (k + p) % n;
size_type kqn = (k + q) % n;
size_type k1n = (k + n - 1) % n;
value_type r1 = 1664525 * tp(begin[kn] ^ begin[kpn] ^ begin[k1n]);
value_type r2 = r1 + (
k == 0 ? s
: k <= s ? (kn + v[k - 1])
: kn
);
begin[kpn] += r1;
begin[kqn] += r2;
begin[kn] = r2;
}
for (size_type k = m; k < m + n; ++k) {
size_type kn = k % n;
size_type kpn = (k + p) % n;
size_type kqn = (k + q) % n;
size_type k1n = (k + n - 1) % n;
value_type r3 = 1566083941 * tp(begin[kn] + begin[kpn] + begin[k1n]);
value_type r4 = r3 - kn;
begin[kpn] ^= r3;
begin[kqn] ^= r4;
begin[kn] = r4;
}
}
template<typename Result>
SPROUT_CONSTEXPR typename sprout::fixed::result_of::algorithm<Result>::type generate(Result const& result) const {
typedef typename sprout::container_traits<Result>::value_type value_type;
typedef sprout::array<value_type, sprout::container_traits<Result>::static_size> temp_type;
return !sprout::empty(result) ? gen(
result, sprout::pit<temp_type>(static_cast<value_type>(0x8b8b8b8bu)),
sprout::size(result), size(), sprout::max<size_type>(size() + 1, sprout::size(result)),
tval(sprout::size(result))
)
: sprout::detail::container_complate(result)
;
}
template<typename Result>
SPROUT_CONSTEXPR typename sprout::fixed::result_of::algorithm<Result>::type generate() const {
return generate(sprout::pit<Result>());
}
SPROUT_CONSTEXPR size_type size() const SPROUT_NOEXCEPT {
return v.size();
}
template<
typename OutputIterator,
typename sprout::enabler_if<sprout::is_iterator_outputable<OutputIterator>::value>::type = sprout::enabler
>
SPROUT_CXX14_CONSTEXPR void param(OutputIterator dest) const {
sprout::copy(v.begin(), v.end(), dest);
}
SPROUT_CONSTEXPR sprout::array<result_type, N> const& param() const {
return v;
}
template<
typename Result,
typename sprout::enabler_if<!sprout::is_iterator_outputable<Result>::value>::type = sprout::enabler
>
SPROUT_CONSTEXPR typename sprout::fixed::result_of::algorithm<Result>::type param(Result const& result) const {
return sprout::fixed::copy(v.begin(), v.end(), result);
}
template<typename Result>
SPROUT_CONSTEXPR typename sprout::fixed::result_of::algorithm<Result>::type param() const {
return sprout::fixed::copy<Result>(v.begin(), v.end());
}
};
//
// make_seed_array
//
template<typename... Args>
inline SPROUT_CONSTEXPR sprout::random::seed_array<sizeof...(Args)>
make_seed_array(Args&&... args) {
return sprout::random::seed_array<sizeof...(Args)>(
sprout::make_common_array(sprout::forward<Args>(args)...)
);
}
} // namespace random
using sprout::random::seed_array;
using sprout::random::make_seed_array;
} // namespace sprout
#endif // #ifndef SPROUT_RANDOM_SEED_ARRAY_HPP
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