FM / random

/usr/include/boost/random

Name	Size	Mode	Actions
detail/	-	0755	rm
additive_combine.hpp	8826	0644	edit dl rm
bernoulli_distribution.hpp	5608	0644	edit dl rm
beta_distribution.hpp	5900	0644	edit dl rm
binomial_distribution.hpp	12985	0644	edit dl rm
cauchy_distribution.hpp	6528	0644	edit dl rm
chi_squared_distribution.hpp	6322	0644	edit dl rm
discard_block.hpp	7991	0644	edit dl rm
discrete_distribution.hpp	21137	0644	edit dl rm
exponential_distribution.hpp	20895	0644	edit dl rm
extreme_value_distribution.hpp	5611	0644	edit dl rm
faure.hpp	11474	0644	edit dl rm
fisher_f_distribution.hpp	5924	0644	edit dl rm
gamma_distribution.hpp	9166	0644	edit dl rm
generate_canonical.hpp	2954	0644	edit dl rm
geometric_distribution.hpp	7339	0644	edit dl rm
hyperexponential_distribution.hpp	36980	0644	edit dl rm
independent_bits.hpp	9117	0644	edit dl rm
inversive_congruential.hpp	9550	0644	edit dl rm
lagged_fibonacci.hpp	18256	0644	edit dl rm
laplace_distribution.hpp	5743	0644	edit dl rm
linear_congruential.hpp	16214	0644	edit dl rm
linear_feedback_shift.hpp	7162	0644	edit dl rm
lognormal_distribution.hpp	8051	0644	edit dl rm
mersenne_twister.hpp	24094	0644	edit dl rm
negative_binomial_distribution.hpp	6911	0644	edit dl rm
niederreiter_base2.hpp	11736	0644	edit dl rm
non_central_chi_squared_distribution.hpp	7724	0644	edit dl rm
normal_distribution.hpp	17441	0644	edit dl rm
piecewise_constant_distribution.hpp	17186	0644	edit dl rm
piecewise_linear_distribution.hpp	18802	0644	edit dl rm
poisson_distribution.hpp	10145	0644	edit dl rm
random_device.hpp	5032	0644	edit dl rm
random_number_generator.hpp	1958	0644	edit dl rm
ranlux.hpp	3292	0644	edit dl rm
seed_seq.hpp	3792	0644	edit dl rm
shuffle_order.hpp	9181	0644	edit dl rm
shuffle_output.hpp	1352	0644	edit dl rm
sobol.hpp	7704	0644	edit dl rm
student_t_distribution.hpp	5633	0644	edit dl rm
subtract_with_carry.hpp	21590	0644	edit dl rm
taus88.hpp	1164	0644	edit dl rm
traits.hpp	4165	0644	edit dl rm
triangle_distribution.hpp	7033	0644	edit dl rm
uniform_01.hpp	7538	0644	edit dl rm
uniform_int.hpp	2909	0644	edit dl rm
uniform_int_distribution.hpp	16199	0644	edit dl rm
uniform_on_sphere.hpp	8812	0644	edit dl rm
uniform_real.hpp	2449	0644	edit dl rm
uniform_real_distribution.hpp	7726	0644	edit dl rm
uniform_smallint.hpp	12230	0644	edit dl rm
variate_generator.hpp	3708	0644	edit dl rm
weibull_distribution.hpp	5524	0644	edit dl rm
xor_combine.hpp	7049	0644	edit dl rm

Edit: /usr/include/boost/random/linear_feedback_shift.hpp (7162B)

/* 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

cmd: