X-Git-Url: https://git.donarmstrong.com/?p=rsem.git;a=blobdiff_plain;f=boost%2Frandom%2Fshuffle_order.hpp;fp=boost%2Frandom%2Fshuffle_order.hpp;h=1c8d875d5b70033b01e3203b96c667c6b6b370b5;hp=0000000000000000000000000000000000000000;hb=2d71eb92104693ca9baa5a2e1c23eeca776d8fd3;hpb=da57529b92adbb7ae74a89861cb39fb35ac7c62d diff --git a/boost/random/shuffle_order.hpp b/boost/random/shuffle_order.hpp new file mode 100644 index 0000000..1c8d875 --- /dev/null +++ b/boost/random/shuffle_order.hpp @@ -0,0 +1,269 @@ +/* boost random/shuffle_order.hpp header file + * + * Copyright Jens Maurer 2000-2001 + * Copyright Steven Watanabe 2010 + * 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: shuffle_order.hpp 71018 2011-04-05 21:27:52Z steven_watanabe $ + * + */ + +#ifndef BOOST_RANDOM_SHUFFLE_ORDER_HPP +#define BOOST_RANDOM_SHUFFLE_ORDER_HPP + +#include +#include // std::copy +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include + +namespace boost { +namespace random { + +/** + * Instatiations of class template @c shuffle_order_engine model a + * \pseudo_random_number_generator. It mixes the output + * of some (usually \linear_congruential_engine) + * \uniform_random_number_generator to get better statistical properties. + * The algorithm is described in + * + * @blockquote + * "Improving a poor random number generator", Carter Bays + * and S.D. Durham, ACM Transactions on Mathematical Software, + * Vol 2, No. 1, March 1976, pp. 59-64. + * http://doi.acm.org/10.1145/355666.355670 + * @endblockquote + * + * The output of the base generator is buffered in an array of + * length k. Every output X(n) has a second role: It gives an + * index into the array where X(n+1) will be retrieved. Used + * array elements are replaced with fresh output from the base + * generator. + * + * Template parameters are the base generator and the array + * length k, which should be around 100. + */ +template +class shuffle_order_engine +{ +public: + typedef UniformRandomNumberGenerator base_type; + typedef typename base_type::result_type result_type; + + BOOST_STATIC_CONSTANT(bool, has_fixed_range = false); + BOOST_STATIC_CONSTANT(std::size_t, buffer_size = k); + BOOST_STATIC_CONSTANT(std::size_t, table_size = k); + + BOOST_STATIC_ASSERT(std::numeric_limits::is_integer); + BOOST_STATIC_ASSERT(k > 0); + + /** + * Constructs a @c shuffle_order_engine by invoking the + * default constructor of the base generator. + * + * Complexity: Exactly k+1 invocations of the base generator. + */ + shuffle_order_engine() : _rng() { init(); } + /** + * Constructs a @c shuffle_output_engine by invoking the one-argument + * constructor of the base generator with the parameter seed. + * + * Complexity: Exactly k+1 invocations of the base generator. + */ + BOOST_RANDOM_DETAIL_ARITHMETIC_CONSTRUCTOR(shuffle_order_engine, + result_type, s) + { _rng.seed(s); init(); } + BOOST_RANDOM_DETAIL_SEED_SEQ_CONSTRUCTOR(shuffle_order_engine, SeedSeq, seq) + { _rng.seed(seq); init(); } + /** + * Constructs a @c shuffle_output_engine by using a copy + * of the provided generator. + * + * Precondition: The template argument UniformRandomNumberGenerator + * shall denote a CopyConstructible type. + * + * Complexity: Exactly k+1 invocations of the base generator. + */ + explicit shuffle_order_engine(const base_type & rng) : _rng(rng) { init(); } + +#ifndef BOOST_NO_RVALUE_REFERENCES + explicit shuffle_order_engine(base_type&& rng) : _rng(rng) { init(); } +#endif + + template shuffle_order_engine(It& first, It last) + : _rng(first, last) { init(); } + void seed() { _rng.seed(); init(); } + /** + * Invokes the one-argument seed method of the base generator + * with the parameter seed and re-initializes the internal buffer array. + * + * Complexity: Exactly k+1 invocations of the base generator. + */ + BOOST_RANDOM_DETAIL_ARITHMETIC_SEED(shuffle_order_engine, + result_type, seed_arg) + { _rng.seed(seed_arg); init(); } + /** + * Invokes the one-argument seed method of the base generator + * with the parameter seq and re-initializes the internal buffer array. + * + * Complexity: Exactly k+1 invocations of the base generator. + */ + BOOST_RANDOM_DETAIL_SEED_SEQ_SEED(shuffle_order_engine, SeedSeq, seq) + { _rng.seed(seq); init(); } + template void seed(It& first, It last) + { _rng.seed(first, last); init(); } + + const base_type& base() const { return _rng; } + + result_type operator()() { + // calculating the range every time may seem wasteful. However, this + // makes the information locally available for the optimizer. + typedef typename make_unsigned::type base_unsigned; + const base_unsigned brange = + detail::subtract()((max)(), (min)()); + const base_unsigned off = + detail::subtract()(y, (min)()); + + base_unsigned j; + if(k == 1) { + j = 0; + } else if(brange < (std::numeric_limits::max)() / k) { + // try to do it in the native type if we know that it won't + // overflow + j = k * off / (brange + 1); + } else if(brange < (std::numeric_limits::max)() / k) { + // Otherwise try to use uint64_t + j = static_cast( + static_cast(off) * k / + (static_cast(brange) + 1)); + } else { + boost::uintmax_t divisor = + static_cast(brange) + 1; + j = static_cast(detail::muldiv(off, k, divisor)); + } + // assert(0 <= j && j < k); + y = v[j]; + v[j] = _rng(); + return y; + } + + /** Advances the generator by z steps. */ + void discard(boost::uintmax_t z) + { + for(boost::uintmax_t j = 0; j < z; ++j) { + (*this)(); + } + } + + /** Fills a range with pseudo-random values. */ + template + void generate(Iter first, Iter last) + { detail::generate_from_int(*this, first, last); } + + /** Returns the smallest value that the generator can produce. */ + static result_type min BOOST_PREVENT_MACRO_SUBSTITUTION () + { return (base_type::min)(); } + /** Returns the largest value that the generator can produce. */ + static result_type max BOOST_PREVENT_MACRO_SUBSTITUTION () + { return (base_type::max)(); } + + /** Writes a @c shuffle_order_engine to a @c std::ostream. */ + BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os, shuffle_order_engine, s) + { + os << s._rng; + for(std::size_t i = 0; i < k; ++i) + os << ' ' << s.v[i]; + os << ' ' << s.y; + return os; + } + + /** Reads a @c shuffle_order_engine from a @c std::istream. */ + BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is, shuffle_order_engine, s) + { + is >> s._rng; + for(std::size_t i = 0; i < k; ++i) + is >> std::ws >> s.v[i]; + is >> std::ws >> s.y; + return is; + } + + /** Returns true if the two generators will produce identical sequences. */ + BOOST_RANDOM_DETAIL_EQUALITY_OPERATOR(shuffle_order_engine, x, y) + { return x._rng == y._rng && x.y == y.y && std::equal(x.v, x.v+k, y.v); } + /** Returns true if the two generators will produce different sequences. */ + BOOST_RANDOM_DETAIL_INEQUALITY_OPERATOR(shuffle_order_engine) + +private: + + /// \cond show_private + + void init() + { + // we cannot use std::generate, because it uses pass-by-value for _rng + for(result_type * p = v; p != v+k; ++p) + *p = _rng(); + y = _rng(); + } + + /// \endcond + + base_type _rng; + result_type v[k]; + result_type y; +}; + +#ifndef BOOST_NO_INCLASS_MEMBER_INITIALIZATION +// A definition is required even for integral static constants +template +const bool shuffle_order_engine::has_fixed_range; +template +const std::size_t shuffle_order_engine::table_size; +template +const std::size_t shuffle_order_engine::buffer_size; +#endif + +/** + * According to Harry Erwin (private e-mail), the specialization + * @c kreutzer1986 was suggested in: + * + * @blockquote + * "System Simulation: Programming Styles and Languages (International + * Computer Science Series)", Wolfgang Kreutzer, Addison-Wesley, December 1986. + * @endblockquote + */ +typedef shuffle_order_engine< + linear_congruential_engine, + 97> kreutzer1986; + +/** + * The specialization @c knuth_b is specified by the C++ standard. + * It is described in + * + * @blockquote + * "The Art of Computer Programming, Second Edition, Volume 2, + * Seminumerical Algorithms", Donald Knuth, Addison-Wesley, 1981. + * @endblockquote + */ +typedef shuffle_order_engine knuth_b; + +} // namespace random + +using random::kreutzer1986; + +} // namespace boost + +#include + +#endif // BOOST_RANDOM_SHUFFLE_OUTPUT_HPP