mirror of
https://github.com/bolero-MURAKAMI/Sprout.git
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112 lines
4.2 KiB
C++
112 lines
4.2 KiB
C++
#ifndef SPROUT_RANDOM_LINEAR_FEEDBACK_SHIFT_HPP
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#define SPROUT_RANDOM_LINEAR_FEEDBACK_SHIFT_HPP
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#include <ios>
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#include <sprout/config.hpp>
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#include <sprout/detail/integer/integer_mask.hpp>
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#include <sprout/random/random_result.hpp>
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namespace sprout {
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namespace random {
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//
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// linear_feedback_shift_engine
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//
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template<typename UIntType, int w, int k, int q, int s>
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class linear_feedback_shift_engine {
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public:
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typedef UIntType result_type;
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private:
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struct private_constructor_tag {};
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public:
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SPROUT_STATIC_CONSTEXPR int word_size = w;
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SPROUT_STATIC_CONSTEXPR int exponent1 = k;
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SPROUT_STATIC_CONSTEXPR int exponent2 = q;
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SPROUT_STATIC_CONSTEXPR int step_size = s;
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SPROUT_STATIC_CONSTEXPR UIntType default_seed = 341;
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public:
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static_assert(w > 0, "w > 0");
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static_assert(q > 0, "q > 0");
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static_assert(k < w, "k < w");
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static_assert(0 < 2 * q && 2 * q < k, "0 < 2 * q && 2 * q < k");
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static_assert(0 < s && s <= k - q, "0 < s && s <= k - q");
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private:
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static SPROUT_CONSTEXPR UIntType wordmask() {
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return sprout::detail::low_bits_mask_t<w>::sig_bits;
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}
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static SPROUT_CONSTEXPR result_type static_min() {
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return 0;
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}
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static SPROUT_CONSTEXPR result_type static_max() {
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return wordmask();
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}
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static SPROUT_CONSTEXPR UIntType init_seed_1(UIntType const& x0) {
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return x0 < (1 << (w - k)) ? x0 + (1 << (w - k)) : x0;
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}
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static SPROUT_CONSTEXPR UIntType init_seed(UIntType const& x0) {
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return init_seed_1(x0 & wordmask());
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}
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private:
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UIntType x_;
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private:
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SPROUT_CONSTEXPR linear_feedback_shift_engine(UIntType const& x, private_constructor_tag)
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: x_(x)
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{}
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SPROUT_CONSTEXPR sprout::random::random_result<linear_feedback_shift_engine> generate(result_type result) const {
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return sprout::random::random_result<linear_feedback_shift_engine>(
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result,
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linear_feedback_shift_engine(result, private_constructor_tag())
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);
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}
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public:
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SPROUT_CONSTEXPR linear_feedback_shift_engine()
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: x_(init_seed(default_seed))
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{}
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SPROUT_CONSTEXPR explicit linear_feedback_shift_engine(UIntType const& x0)
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: x_(init_seed(x0))
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{}
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SPROUT_CONSTEXPR result_type min() const {
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return static_min();
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}
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SPROUT_CONSTEXPR result_type max() const {
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return static_max();
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}
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SPROUT_CONSTEXPR sprout::random::random_result<linear_feedback_shift_engine> operator()() const {
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return generate(((x_ & ((wordmask() << (w - k)) & wordmask())) << s) ^ ((((x_ << q) ^ x_) & wordmask()) >> (k - s)));
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}
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friend SPROUT_CONSTEXPR bool operator==(linear_feedback_shift_engine const& lhs, linear_feedback_shift_engine const& rhs) {
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return lhs.x_ == rhs.x_;
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}
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friend SPROUT_CONSTEXPR bool operator!=(linear_feedback_shift_engine const& lhs, linear_feedback_shift_engine const& rhs) {
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return !(lhs == rhs);
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}
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template<typename Elem, typename Traits>
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friend std::basic_istream<Elem, Traits>& operator>>(
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std::basic_istream<Elem, Traits>& lhs,
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linear_feedback_shift_engine& rhs
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)
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{
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return lhs >> rhs.x_;
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}
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template<typename Elem, typename Traits>
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friend std::basic_ostream<Elem, Traits>& operator<<(
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std::basic_ostream<Elem, Traits>& lhs,
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linear_feedback_shift_engine const& rhs
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)
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{
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return lhs << rhs.x_;
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}
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};
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template<typename UIntType, int w, int k, int q, int s>
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SPROUT_CONSTEXPR int sprout::random::linear_feedback_shift_engine<UIntType, w, k, q, s>::word_size;
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template<typename UIntType, int w, int k, int q, int s>
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SPROUT_CONSTEXPR int sprout::random::linear_feedback_shift_engine<UIntType, w, k, q, s>::exponent1;
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template<typename UIntType, int w, int k, int q, int s>
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SPROUT_CONSTEXPR int sprout::random::linear_feedback_shift_engine<UIntType, w, k, q, s>::exponent2;
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template<typename UIntType, int w, int k, int q, int s>
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SPROUT_CONSTEXPR int sprout::random::linear_feedback_shift_engine<UIntType, w, k, q, s>::step_size;
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template<typename UIntType, int w, int k, int q, int s>
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SPROUT_CONSTEXPR UIntType sprout::random::linear_feedback_shift_engine<UIntType, w, k, q, s>::default_seed;
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} // namespace random
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} // namespace sprout
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#endif // #ifndef SPROUT_RANDOM_LINEAR_FEEDBACK_SHIFT_HPP
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