mirror of
https://github.com/bolero-MURAKAMI/Sprout
synced 2024-11-12 21:09:01 +00:00
370 lines
12 KiB
C++
370 lines
12 KiB
C++
/*=============================================================================
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Copyright (c) 2011-2014 Bolero MURAKAMI
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https://github.com/bolero-MURAKAMI/Sprout
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Distributed under the Boost Software License, Version 1.0. (See accompanying
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file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
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=============================================================================*/
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#ifndef SPROUT_RANDOM_SEED_ARRAY_HPP
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#define SPROUT_RANDOM_SEED_ARRAY_HPP
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#include <cstdint>
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#include <iterator>
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#include <initializer_list>
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#include <sprout/config.hpp>
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#include <sprout/workaround/std/cstddef.hpp>
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#include <sprout/array/array.hpp>
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#include <sprout/array/make_array.hpp>
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#include <sprout/index_tuple/metafunction.hpp>
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#include <sprout/container/traits.hpp>
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#include <sprout/container/functions.hpp>
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#include <sprout/container/indexes.hpp>
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#include <sprout/iterator/type_traits/is_iterator_of.hpp>
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#include <sprout/type_traits/enabler_if.hpp>
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#include <sprout/algorithm/fixed/results.hpp>
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#include <sprout/algorithm/fixed/copy.hpp>
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#include <sprout/algorithm/fixed/transform.hpp>
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#include <sprout/algorithm/cxx14/copy.hpp>
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#include <sprout/algorithm/cxx14/fill.hpp>
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#include <sprout/range/algorithm/fixed/copy.hpp>
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#include <sprout/container/functions.hpp>
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#include <sprout/pit/pit.hpp>
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#include <sprout/detail/container_complate.hpp>
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#include HDR_ALGORITHM_MIN_MAX_SSCRISK_CEL_OR_SPROUT
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namespace sprout {
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namespace random {
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namespace detail {
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template<typename UIntType>
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class seed_array_init {
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public:
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template<typename IntType>
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SPROUT_CONSTEXPR UIntType operator()(IntType const& x) const {
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return static_cast<UIntType>(x % (std::uint_least64_t(2) << 32));
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}
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};
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template<std::size_t N>
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class seed_array_impl {
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public:
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typedef std::uint_least32_t result_type;
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protected:
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typedef sprout::array<result_type, N> array_type;
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protected:
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array_type v;
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public:
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SPROUT_CONSTEXPR seed_array_impl() SPROUT_NOEXCEPT
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: v{{}}
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{}
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template<typename InputIterator>
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SPROUT_CONSTEXPR seed_array_impl(InputIterator begin, InputIterator end)
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: v(sprout::fixed::transform<array_type>(begin, end, sprout::random::detail::seed_array_init<result_type>()))
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{}
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};
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} // namespace detail
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//
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// seed_array
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//
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template<std::size_t N>
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class seed_array
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: public sprout::random::detail::seed_array_impl<N>
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{
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private:
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typedef sprout::random::detail::seed_array_impl<N> impl_type;
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public:
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typedef typename impl_type::result_type result_type;
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typedef result_type value_type;
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typedef std::size_t size_type;
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private:
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using impl_type::v;
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private:
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static SPROUT_CONSTEXPR result_type tp(result_type x) {
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return x ^ (x >> 27);
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}
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static SPROUT_CONSTEXPR size_type tval(size_type n) {
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return (n >= 623) ? 11
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: (n >= 68) ? 7
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: (n >= 39) ? 5
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: (n >= 7) ? 3
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: (n - 1) / 2
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;
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}
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template<typename Result, sprout::index_t... Indexes>
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static SPROUT_CONSTEXPR typename sprout::fixed::results::algorithm<Result>::type set2_impl(
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Result const& result,
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size_type kpn, size_type kqn, size_type kn,
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typename sprout::container_traits<Result>::value_type r3,
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typename sprout::container_traits<Result>::value_type r4,
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sprout::index_tuple<Indexes...>
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)
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{
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return sprout::remake<Result>(
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result,
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sprout::size(result),
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(Indexes == kn ? r4
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: (result[Indexes]
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^ (Indexes == kpn ? r3 : typename sprout::container_traits<Result>::value_type())
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^ (Indexes == kqn ? r4 : typename sprout::container_traits<Result>::value_type())
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)
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)...
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);
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}
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template<typename Result>
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static SPROUT_CONSTEXPR typename sprout::fixed::results::algorithm<Result>::type set2(
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Result const& result,
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size_type kpn, size_type kqn, size_type kn,
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typename sprout::container_traits<Result>::value_type r3,
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typename sprout::container_traits<Result>::value_type r4_3
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)
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{
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return set2_impl(result, kpn, kqn, kn, r3, r3 - r4_3, sprout::container_indexes<Result>::make());
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}
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template<typename Result, sprout::index_t... Indexes>
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static SPROUT_CONSTEXPR typename sprout::fixed::results::algorithm<Result>::type set1_impl(
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Result const& result,
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size_type kpn, size_type kqn, size_type kn,
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typename sprout::container_traits<Result>::value_type r1,
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typename sprout::container_traits<Result>::value_type r2,
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sprout::index_tuple<Indexes...>
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)
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{
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return sprout::remake<Result>(
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result,
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sprout::size(result),
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(Indexes == kn ? r2
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: (result[Indexes]
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+ (Indexes == kpn ? r1 : typename sprout::container_traits<Result>::value_type())
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+ (Indexes == kqn ? r2 : typename sprout::container_traits<Result>::value_type())
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)
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)...
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);
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}
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template<typename Result>
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static SPROUT_CONSTEXPR typename sprout::fixed::results::algorithm<Result>::type set1(
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Result const& result,
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size_type kpn, size_type kqn, size_type kn,
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typename sprout::container_traits<Result>::value_type r1,
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typename sprout::container_traits<Result>::value_type r2_1
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)
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{
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return set1_impl(result, kpn, kqn, kn, r1, r1 + r2_1, sprout::container_indexes<Result>::make());
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}
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template<typename Result>
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SPROUT_CONSTEXPR typename sprout::fixed::results::algorithm<Result>::type gen2(
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Result const& result,
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size_type n, size_type s, size_type m, size_type t, size_type p, size_type q,
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size_type k
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) const
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{
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return k < m + n ? gen2(
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set2(
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result, (k + p) % n, (k + q) % n, k % n,
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1566083941 * tp(result[k % n] + result[(k + p) % n] + result[(k + n - 1) % n]),
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k % n
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),
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n, s, m, t, p, q,
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k + 1
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)
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: sprout::deep_copy(result)
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;
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}
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template<typename Result>
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SPROUT_CONSTEXPR typename sprout::fixed::results::algorithm<Result>::type gen1_2(
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Result const& result,
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size_type n, size_type s, size_type m, size_type t, size_type p, size_type q,
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size_type k
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) const
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{
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return k < m ? gen1_2(
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set1(
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result, (k + p) % n, (k + q) % n, k % n,
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1664525 * tp(result[k % n] ^ result[(k + p) % n] ^ result[(k - 1) % n]),
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k % n
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),
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n, s, m, t, p, q,
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k + 1
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)
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: sprout::deep_copy(result)
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;
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}
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template<typename Result>
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SPROUT_CONSTEXPR typename sprout::fixed::results::algorithm<Result>::type gen1_1(
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Result const& result,
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size_type n, size_type s, size_type m, size_type t, size_type p, size_type q,
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size_type k
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) const
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{
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return k <= s ? gen1_1(
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set1(
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result, (k + p) % n, (k + q) % n, k % n,
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1664525 * tp(result[k % n] ^ result[(k + p) % n] ^ result[(k - 1) % n]),
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k % n + v[k - 1]
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),
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n, s, m, t, p, q,
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k + 1
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)
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: sprout::deep_copy(result)
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;
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}
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template<typename Result>
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SPROUT_CONSTEXPR typename sprout::fixed::results::algorithm<Result>::type gen1_0(
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Result const& result,
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size_type n, size_type s, size_type p, size_type q
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) const
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{
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return set1(
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result, p, q, size_type(0),
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1664525 * tp(result[0] ^ result[p] ^ result[n - 1]),
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s
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);
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}
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template<typename Result>
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SPROUT_CONSTEXPR typename sprout::fixed::results::algorithm<Result>::type gen_impl(
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Result const& result,
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size_type n, size_type s, size_type m, size_type t, size_type p, size_type q
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) const
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{
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return gen2(
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gen1_2(
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gen1_1(
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gen1_0(
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result,
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n, s, p, q
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),
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n, s, m, t, p, q,
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1
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),
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n, s, m, t, p, q,
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s + 1
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),
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n, s, m, t, p, q,
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m
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);
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}
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template<typename Result, typename TempResult>
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SPROUT_CONSTEXPR typename sprout::fixed::results::algorithm<Result>::type gen(
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Result const& result, TempResult const& temp_result,
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size_type n, size_type s, size_type m, size_type t
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) const
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{
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return sprout::range::fixed::copy(
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gen_impl(temp_result, n, s, m, t, (n - t) / 2, (n - t) / 2 + t),
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result
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);
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}
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public:
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SPROUT_CONSTEXPR seed_array() SPROUT_NOEXCEPT
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: impl_type()
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{}
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seed_array(seed_array const&) = default;
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template<typename T>
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SPROUT_INITIALIZER_LIST_CONSTEXPR seed_array(std::initializer_list<T> il)
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: impl_type(il.begin(), il.end())
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{}
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template<typename InputIterator>
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SPROUT_CONSTEXPR seed_array(InputIterator begin, InputIterator end)
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: impl_type(begin, end)
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{}
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template<typename InputRange>
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explicit SPROUT_CONSTEXPR seed_array(InputRange const& rng)
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: impl_type(sprout::begin(rng), sprout::end(rng))
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{}
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template<typename RandomAccessIterator>
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SPROUT_CXX14_CONSTEXPR void generate(RandomAccessIterator begin, RandomAccessIterator end) const {
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typedef typename std::iterator_traits<RandomAccessIterator>::value_type value_type;
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if (begin == end) {
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return;
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}
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sprout::fill(begin, end, static_cast<value_type>(0x8b8b8b8bu));
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size_type n = end - begin;
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size_type s = size();
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size_type m = NS_SSCRISK_CEL_OR_SPROUT::max(s + 1, n);
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size_type t = tval(n);
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size_type p = (n - t) / 2;
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size_type q = p + t;
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for (size_type k = 0; k < m; ++k) {
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size_type kn = k % n;
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size_type kpn = (k + p) % n;
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size_type kqn = (k + q) % n;
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size_type k1n = (k + n - 1) % n;
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value_type r1 = 1664525 * tp(begin[kn] ^ begin[kpn] ^ begin[k1n]);
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value_type r2 = r1 + (
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k == 0 ? s
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: k <= s ? (kn + v[k - 1])
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: kn
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);
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begin[kpn] += r1;
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begin[kqn] += r2;
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begin[kn] = r2;
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}
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for (size_type k = m; k < m + n; ++k) {
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size_type kn = k % n;
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size_type kpn = (k + p) % n;
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size_type kqn = (k + q) % n;
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size_type k1n = (k + n - 1) % n;
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value_type r3 = 1566083941 * tp(begin[kn] + begin[kpn] + begin[k1n]);
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value_type r4 = r3 - kn;
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begin[kpn] ^= r3;
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begin[kqn] ^= r4;
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begin[kn] = r4;
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}
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}
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template<typename Result>
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SPROUT_CONSTEXPR typename sprout::fixed::results::algorithm<Result>::type generate(Result const& result) const {
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typedef typename sprout::container_traits<Result>::value_type value_type;
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typedef sprout::array<value_type, sprout::container_traits<Result>::static_size> temp_type;
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return !sprout::empty(result) ? gen(
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result, sprout::pit<temp_type>(static_cast<value_type>(0x8b8b8b8bu)),
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sprout::size(result), size(), sprout::max<size_type>(size() + 1, sprout::size(result)),
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tval(sprout::size(result))
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)
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: sprout::detail::container_complate(result)
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;
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}
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template<typename Result>
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SPROUT_CONSTEXPR typename sprout::fixed::results::algorithm<Result>::type generate() const {
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return generate(sprout::pit<Result>());
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}
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SPROUT_CONSTEXPR size_type size() const SPROUT_NOEXCEPT {
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return v.size();
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}
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template<
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typename OutputIterator,
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typename sprout::enabler_if<sprout::is_iterator_outputable<OutputIterator>::value>::type = sprout::enabler
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>
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SPROUT_CXX14_CONSTEXPR void param(OutputIterator dest) const {
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sprout::copy(v.begin(), v.end(), dest);
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}
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SPROUT_CONSTEXPR sprout::array<result_type, N> const& param() const {
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return v;
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}
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template<
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typename Result,
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typename sprout::enabler_if<!sprout::is_iterator_outputable<Result>::value>::type = sprout::enabler
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>
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SPROUT_CONSTEXPR typename sprout::fixed::results::algorithm<Result>::type param(Result const& result) const {
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return sprout::fixed::copy(v.begin(), v.end(), result);
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}
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template<typename Result>
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SPROUT_CONSTEXPR typename sprout::fixed::results::algorithm<Result>::type param() const {
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return sprout::fixed::copy<Result>(v.begin(), v.end());
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}
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};
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//
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// make_seed_array
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//
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template<typename... Args>
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inline SPROUT_CONSTEXPR sprout::random::seed_array<sizeof...(Args)>
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make_seed_array(Args&&... args) {
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return sprout::random::seed_array<sizeof...(Args)>(
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sprout::make_common_array(SPROUT_FORWARD(Args, args)...)
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);
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}
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} // namespace random
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using sprout::random::seed_array;
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using sprout::random::make_seed_array;
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} // namespace sprout
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#endif // #ifndef SPROUT_RANDOM_SEED_ARRAY_HPP
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