vn-verdnaturachat/ios/Pods/boost-for-react-native/boost/random/linear_feedback_shift.hpp

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/* boost random/linear_feedback_shift.hpp header file
*
* Copyright Jens Maurer 2002
* Copyright Steven Watanabe 2011
* 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)
*
* See http://www.boost.org for most recent version including documentation.
*
* $Id$
*
*/
#ifndef BOOST_RANDOM_LINEAR_FEEDBACK_SHIFT_HPP
#define BOOST_RANDOM_LINEAR_FEEDBACK_SHIFT_HPP
#include <iosfwd>
#include <stdexcept>
#include <boost/config.hpp>
#include <boost/cstdint.hpp>
#include <boost/static_assert.hpp>
#include <boost/integer/integer_mask.hpp>
#include <boost/random/detail/config.hpp>
#include <boost/random/detail/seed.hpp>
#include <boost/random/detail/operators.hpp>
#include <boost/random/detail/seed_impl.hpp>
namespace boost {
namespace random {
/**
* Instatiations of @c linear_feedback_shift model a
* \pseudo_random_number_generator. It was originally
* proposed in
*
* @blockquote
* "Random numbers generated by linear recurrence modulo two.",
* Tausworthe, R. C.(1965), Mathematics of Computation 19, 201-209.
* @endblockquote
*/
template<class UIntType, int w, int k, int q, int s>
class linear_feedback_shift_engine
{
public:
typedef UIntType result_type;
BOOST_STATIC_CONSTANT(bool, has_fixed_range = false);
BOOST_STATIC_CONSTANT(int, word_size = w);
BOOST_STATIC_CONSTANT(int, exponent1 = k);
BOOST_STATIC_CONSTANT(int, exponent2 = q);
BOOST_STATIC_CONSTANT(int, step_size = s);
BOOST_STATIC_CONSTANT(UIntType, default_seed = 341);
/** Returns the smallest value that the generator can produce. */
static result_type min BOOST_PREVENT_MACRO_SUBSTITUTION () { return 0; }
/** Returns the largest value that the generator can produce. */
static result_type max BOOST_PREVENT_MACRO_SUBSTITUTION ()
{ return wordmask(); }
BOOST_STATIC_ASSERT(w > 0);
BOOST_STATIC_ASSERT(q > 0);
BOOST_STATIC_ASSERT(k < w);
BOOST_STATIC_ASSERT(0 < 2*q && 2*q < k);
BOOST_STATIC_ASSERT(0 < s && s <= k-q);
/** Constructs a @c linear_feedback_shift_engine, using the default seed. */
linear_feedback_shift_engine() { seed(); }
/** Constructs a @c linear_feedback_shift_engine, seeding it with s0. */
BOOST_RANDOM_DETAIL_ARITHMETIC_CONSTRUCTOR(linear_feedback_shift_engine,
UIntType, s0)
{ seed(s0); }
/** Constructs a @c linear_feedback_shift_engine, seeding it with seq. */
BOOST_RANDOM_DETAIL_SEED_SEQ_CONSTRUCTOR(linear_feedback_shift_engine,
SeedSeq, seq)
{ seed(seq); }
/**
* Constructs a @c linear_feedback_shift_engine, seeding it with
* values from the range [first, last).
*/
template<class It> linear_feedback_shift_engine(It& first, It last)
{ seed(first, last); }
/** Seeds a @c linear_feedback_shift_engine with the default seed. */
void seed() { seed(default_seed); }
/** Seeds a @c linear_feedback_shift_engine with @c s0. */
BOOST_RANDOM_DETAIL_ARITHMETIC_SEED(linear_feedback_shift_engine,
UIntType, s0)
{
value = s0 & wordmask();
if(value < (1 << (w-k))) {
value += 1 << (w-k);
}
}
/**
* Seeds a @c linear_feedback_shift_engine with values
* produced by @c seq.generate().
*/
BOOST_RANDOM_DETAIL_SEED_SEQ_SEED(linear_feedback_shift_engine,
SeedSeq, seq)
{ seed(detail::seed_one_int<UIntType, (UIntType(2) << (w - 1))>(seq)); }
/**
* Seeds a @c linear_feedback_shift_engine with values
* from the range [first, last).
*/
template<class It> void seed(It& first, It last)
{
seed(detail::get_one_int<UIntType, (UIntType(2) << (w - 1))>(first, last));
}
/** Returns the next value of the generator. */
result_type operator()()
{
const UIntType b = (((value << q) ^ value) & wordmask()) >> (k-s);
const UIntType mask = (wordmask() << (w-k)) & wordmask();
value = ((value & mask) << s) ^ b;
return value;
}
/** Fills a range with random values */
template<class Iter>
void generate(Iter first, Iter last)
{ detail::generate_from_int(*this, first, last); }
/** Advances the state of the generator by @c z. */
void discard(boost::uintmax_t z)
{
for(boost::uintmax_t j = 0; j < z; ++j) {
(*this)();
}
}
/**
* Writes the textual representation of the generator to a @c std::ostream.
*/
BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os, linear_feedback_shift_engine, x)
{
os << x.value;
return os;
}
/**
* Reads the textual representation of the generator from a @c std::istream.
*/
BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is, linear_feedback_shift_engine, x)
{
is >> x.value;
return is;
}
/**
* Returns true if the two generators will produce identical
* sequences of outputs.
*/
BOOST_RANDOM_DETAIL_EQUALITY_OPERATOR(linear_feedback_shift_engine, x, y)
{ return x.value == y.value; }
/**
* Returns true if the two generators will produce different
* sequences of outputs.
*/
BOOST_RANDOM_DETAIL_INEQUALITY_OPERATOR(linear_feedback_shift_engine)
private:
/// \cond show_private
static UIntType wordmask() { return boost::low_bits_mask_t<w>::sig_bits; }
/// \endcond
UIntType value;
};
#ifndef BOOST_NO_INCLASS_MEMBER_INITIALIZATION
// A definition is required even for integral static constants
template<class UIntType, int w, int k, int q, int s>
const bool linear_feedback_shift_engine<UIntType, w, k, q, s>::has_fixed_range;
template<class UIntType, int w, int k, int q, int s>
const int linear_feedback_shift_engine<UIntType, w, k, q, s>::word_size;
template<class UIntType, int w, int k, int q, int s>
const int linear_feedback_shift_engine<UIntType, w, k, q, s>::exponent1;
template<class UIntType, int w, int k, int q, int s>
const int linear_feedback_shift_engine<UIntType, w, k, q, s>::exponent2;
template<class UIntType, int w, int k, int q, int s>
const int linear_feedback_shift_engine<UIntType, w, k, q, s>::step_size;
template<class UIntType, int w, int k, int q, int s>
const UIntType linear_feedback_shift_engine<UIntType, w, k, q, s>::default_seed;
#endif
/// \cond show_deprecated
/** Provided for backwards compatibility. */
template<class UIntType, int w, int k, int q, int s, UIntType v = 0>
class linear_feedback_shift :
public linear_feedback_shift_engine<UIntType, w, k, q, s>
{
typedef linear_feedback_shift_engine<UIntType, w, k, q, s> base_type;
public:
linear_feedback_shift() {}
BOOST_RANDOM_DETAIL_SEED_SEQ_CONSTRUCTOR(linear_feedback_shift,
SeedSeq, seq)
{ seed(seq); }
BOOST_RANDOM_DETAIL_ARITHMETIC_CONSTRUCTOR(linear_feedback_shift,
UIntType, val)
{ seed(val); }
template<class It>
linear_feedback_shift(It& first, It last) : base_type(first, last) {}
};
/// \endcond
} // namespace random
} // namespace boost
#endif // BOOST_RANDOM_LINEAR_FEEDBACK_SHIFT_HPP