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270 lines
9.2 KiB
C++
270 lines
9.2 KiB
C++
/* boost random/shuffle_order.hpp header file
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*
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* Copyright Jens Maurer 2000-2001
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* Copyright Steven Watanabe 2010
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* Distributed under the Boost Software License, Version 1.0. (See
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* accompanying file LICENSE_1_0.txt or copy at
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* http://www.boost.org/LICENSE_1_0.txt)
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*
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* See http://www.boost.org for most recent version including documentation.
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*
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* $Id$
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*
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*/
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#ifndef BOOST_RANDOM_SHUFFLE_ORDER_HPP
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#define BOOST_RANDOM_SHUFFLE_ORDER_HPP
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#include <iostream>
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#include <algorithm> // std::copy
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#include <cassert>
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#include <boost/config.hpp>
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#include <boost/limits.hpp>
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#include <boost/static_assert.hpp>
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#include <boost/cstdint.hpp>
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#include <boost/random/detail/operators.hpp>
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#include <boost/random/detail/seed.hpp>
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#include <boost/random/detail/signed_unsigned_tools.hpp>
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#include <boost/random/linear_congruential.hpp>
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#include <boost/random/detail/disable_warnings.hpp>
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namespace boost {
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namespace random {
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/**
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* Instatiations of class template @c shuffle_order_engine model a
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* \pseudo_random_number_generator. It mixes the output
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* of some (usually \linear_congruential_engine)
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* \uniform_random_number_generator to get better statistical properties.
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* The algorithm is described in
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*
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* @blockquote
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* "Improving a poor random number generator", Carter Bays
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* and S.D. Durham, ACM Transactions on Mathematical Software,
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* Vol 2, No. 1, March 1976, pp. 59-64.
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* http://doi.acm.org/10.1145/355666.355670
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* @endblockquote
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*
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* The output of the base generator is buffered in an array of
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* length k. Every output X(n) has a second role: It gives an
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* index into the array where X(n+1) will be retrieved. Used
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* array elements are replaced with fresh output from the base
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* generator.
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*
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* Template parameters are the base generator and the array
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* length k, which should be around 100.
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*/
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template<class UniformRandomNumberGenerator, std::size_t k>
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class shuffle_order_engine
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{
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public:
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typedef UniformRandomNumberGenerator base_type;
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typedef typename base_type::result_type result_type;
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BOOST_STATIC_CONSTANT(bool, has_fixed_range = false);
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BOOST_STATIC_CONSTANT(std::size_t, buffer_size = k);
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BOOST_STATIC_CONSTANT(std::size_t, table_size = k);
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BOOST_STATIC_ASSERT(std::numeric_limits<result_type>::is_integer);
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BOOST_STATIC_ASSERT(k > 0);
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/**
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* Constructs a @c shuffle_order_engine by invoking the
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* default constructor of the base generator.
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*
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* Complexity: Exactly k+1 invocations of the base generator.
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*/
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shuffle_order_engine() : _rng() { init(); }
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/**
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* Constructs a @c shuffle_output_engine by invoking the one-argument
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* constructor of the base generator with the parameter seed.
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*
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* Complexity: Exactly k+1 invocations of the base generator.
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*/
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BOOST_RANDOM_DETAIL_ARITHMETIC_CONSTRUCTOR(shuffle_order_engine,
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result_type, s)
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{ _rng.seed(s); init(); }
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BOOST_RANDOM_DETAIL_SEED_SEQ_CONSTRUCTOR(shuffle_order_engine, SeedSeq, seq)
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{ _rng.seed(seq); init(); }
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/**
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* Constructs a @c shuffle_output_engine by using a copy
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* of the provided generator.
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*
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* Precondition: The template argument UniformRandomNumberGenerator
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* shall denote a CopyConstructible type.
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*
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* Complexity: Exactly k+1 invocations of the base generator.
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*/
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explicit shuffle_order_engine(const base_type & rng) : _rng(rng) { init(); }
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#ifndef BOOST_NO_CXX11_RVALUE_REFERENCES
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explicit shuffle_order_engine(base_type&& rng) : _rng(rng) { init(); }
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#endif
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template<class It> shuffle_order_engine(It& first, It last)
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: _rng(first, last) { init(); }
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void seed() { _rng.seed(); init(); }
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/**
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* Invokes the one-argument seed method of the base generator
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* with the parameter seed and re-initializes the internal buffer array.
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*
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* Complexity: Exactly k+1 invocations of the base generator.
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*/
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BOOST_RANDOM_DETAIL_ARITHMETIC_SEED(shuffle_order_engine,
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result_type, seed_arg)
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{ _rng.seed(seed_arg); init(); }
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/**
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* Invokes the one-argument seed method of the base generator
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* with the parameter seq and re-initializes the internal buffer array.
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*
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* Complexity: Exactly k+1 invocations of the base generator.
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*/
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BOOST_RANDOM_DETAIL_SEED_SEQ_SEED(shuffle_order_engine, SeedSeq, seq)
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{ _rng.seed(seq); init(); }
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template<class It> void seed(It& first, It last)
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{ _rng.seed(first, last); init(); }
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const base_type& base() const { return _rng; }
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result_type operator()() {
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// calculating the range every time may seem wasteful. However, this
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// makes the information locally available for the optimizer.
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typedef typename boost::random::traits::make_unsigned<result_type>::type base_unsigned;
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const base_unsigned brange =
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detail::subtract<result_type>()((max)(), (min)());
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const base_unsigned off =
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detail::subtract<result_type>()(y, (min)());
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base_unsigned j;
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if(k == 1) {
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j = 0;
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} else if(brange < (std::numeric_limits<base_unsigned>::max)() / k) {
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// try to do it in the native type if we know that it won't
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// overflow
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j = k * off / (brange + 1);
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} else if(brange < (std::numeric_limits<uintmax_t>::max)() / k) {
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// Otherwise try to use uint64_t
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j = static_cast<base_unsigned>(
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static_cast<uintmax_t>(off) * k /
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(static_cast<uintmax_t>(brange) + 1));
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} else {
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boost::uintmax_t divisor =
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static_cast<boost::uintmax_t>(brange) + 1;
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j = static_cast<base_unsigned>(detail::muldiv(off, k, divisor));
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}
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// assert(0 <= j && j < k);
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y = v[j];
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v[j] = _rng();
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return y;
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}
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/** Advances the generator by z steps. */
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void discard(boost::uintmax_t z)
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{
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for(boost::uintmax_t j = 0; j < z; ++j) {
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(*this)();
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}
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}
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/** Fills a range with pseudo-random values. */
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template<class Iter>
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void generate(Iter first, Iter last)
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{ detail::generate_from_int(*this, first, last); }
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/** Returns the smallest value that the generator can produce. */
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static result_type min BOOST_PREVENT_MACRO_SUBSTITUTION ()
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{ return (base_type::min)(); }
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/** Returns the largest value that the generator can produce. */
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static result_type max BOOST_PREVENT_MACRO_SUBSTITUTION ()
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{ return (base_type::max)(); }
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/** Writes a @c shuffle_order_engine to a @c std::ostream. */
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BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os, shuffle_order_engine, s)
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{
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os << s._rng;
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for(std::size_t i = 0; i < k; ++i)
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os << ' ' << s.v[i];
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os << ' ' << s.y;
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return os;
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}
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/** Reads a @c shuffle_order_engine from a @c std::istream. */
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BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is, shuffle_order_engine, s)
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{
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is >> s._rng;
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for(std::size_t i = 0; i < k; ++i)
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is >> std::ws >> s.v[i];
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is >> std::ws >> s.y;
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return is;
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}
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/** Returns true if the two generators will produce identical sequences. */
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BOOST_RANDOM_DETAIL_EQUALITY_OPERATOR(shuffle_order_engine, x, y)
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{ return x._rng == y._rng && x.y == y.y && std::equal(x.v, x.v+k, y.v); }
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/** Returns true if the two generators will produce different sequences. */
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BOOST_RANDOM_DETAIL_INEQUALITY_OPERATOR(shuffle_order_engine)
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private:
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/// \cond show_private
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void init()
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{
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// we cannot use std::generate, because it uses pass-by-value for _rng
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for(result_type * p = v; p != v+k; ++p)
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*p = _rng();
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y = _rng();
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}
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/// \endcond
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base_type _rng;
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result_type v[k];
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result_type y;
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};
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#ifndef BOOST_NO_INCLASS_MEMBER_INITIALIZATION
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// A definition is required even for integral static constants
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template<class URNG, std::size_t k>
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const bool shuffle_order_engine<URNG, k>::has_fixed_range;
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template<class URNG, std::size_t k>
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const std::size_t shuffle_order_engine<URNG, k>::table_size;
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template<class URNG, std::size_t k>
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const std::size_t shuffle_order_engine<URNG, k>::buffer_size;
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#endif
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/**
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* According to Harry Erwin (private e-mail), the specialization
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* @c kreutzer1986 was suggested in:
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*
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* @blockquote
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* "System Simulation: Programming Styles and Languages (International
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* Computer Science Series)", Wolfgang Kreutzer, Addison-Wesley, December 1986.
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* @endblockquote
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*/
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typedef shuffle_order_engine<
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linear_congruential_engine<uint32_t, 1366, 150889, 714025>,
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97> kreutzer1986;
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/**
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* The specialization @c knuth_b is specified by the C++ standard.
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* It is described in
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*
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* @blockquote
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* "The Art of Computer Programming, Second Edition, Volume 2,
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* Seminumerical Algorithms", Donald Knuth, Addison-Wesley, 1981.
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* @endblockquote
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*/
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typedef shuffle_order_engine<minstd_rand0, 256> knuth_b;
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} // namespace random
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using random::kreutzer1986;
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} // namespace boost
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#include <boost/random/detail/enable_warnings.hpp>
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#endif // BOOST_RANDOM_SHUFFLE_OUTPUT_HPP
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