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/uniform_real_distribution.hpp (7726B)

/* boost random/uniform_real_distribution.hpp header file
 *
 * Copyright Jens Maurer 2000-2001
 * 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_UNIFORM_REAL_DISTRIBUTION_HPP
#define BOOST_RANDOM_UNIFORM_REAL_DISTRIBUTION_HPP

#include <iosfwd>
#include <ios>
#include <istream>
#include <boost/assert.hpp>
#include <boost/config.hpp>
#include <boost/random/detail/config.hpp>
#include <boost/random/detail/operators.hpp>
#include <boost/random/detail/signed_unsigned_tools.hpp>
#include <boost/type_traits/is_integral.hpp>
#include <boost/mpl/bool.hpp>

namespace boost {
namespace random {
namespace detail {

template<class Engine, class T>
T generate_uniform_real(
    Engine& eng, T min_value, T max_value,
    boost::mpl::false_  /** is_integral<Engine::result_type> */)
{
    for(;;) {
        typedef T result_type;
        result_type numerator = static_cast<T>(eng() - (eng.min)());
        result_type divisor = static_cast<T>((eng.max)() - (eng.min)());
        BOOST_ASSERT(divisor > 0);
        BOOST_ASSERT(numerator >= 0 && numerator <= divisor);
        T result = numerator / divisor * (max_value - min_value) + min_value;
        if(result < max_value) return result;
    }
}

template<class Engine, class T>
T generate_uniform_real(
    Engine& eng, T min_value, T max_value,
    boost::mpl::true_  /** is_integral<Engine::result_type> */)
{
    for(;;) {
        typedef T result_type;
        typedef typename Engine::result_type base_result;
        result_type numerator = static_cast<T>(subtract<base_result>()(eng(), (eng.min)()));
        result_type divisor = static_cast<T>(subtract<base_result>()((eng.max)(), (eng.min)())) + 1;
        BOOST_ASSERT(divisor > 0);
        BOOST_ASSERT(numerator >= 0 && numerator <= divisor);
        T result = numerator / divisor * (max_value - min_value) + min_value;
        if(result < max_value) return result;
    }
}

template<class Engine, class T>
inline T generate_uniform_real(Engine& eng, T min_value, T max_value)
{
    if(max_value / 2 - min_value / 2 > (std::numeric_limits<T>::max)() / 2)
        return 2 * generate_uniform_real(eng, T(min_value / 2), T(max_value / 2));
    typedef typename Engine::result_type base_result;
    return generate_uniform_real(eng, min_value, max_value,
        boost::is_integral<base_result>());
}

}

/**
 * The class template uniform_real_distribution models a \random_distribution.
 * On each invocation, it returns a random floating-point value uniformly
 * distributed in the range [min..max).
 */
template<class RealType = double>
class uniform_real_distribution
{
public:
    typedef RealType input_type;
    typedef RealType result_type;

class param_type
    {
    public:

typedef uniform_real_distribution distribution_type;

/**
         * Constructs the parameters of a uniform_real_distribution.
         *
         * Requires min <= max
         */
        explicit param_type(RealType min_arg = RealType(0.0),
                            RealType max_arg = RealType(1.0))
          : _min(min_arg), _max(max_arg)
        {
            BOOST_ASSERT(_min < _max);
        }

/** Returns the minimum value of the distribution. */
        RealType a() const { return _min; }
        /** Returns the maximum value of the distribution. */
        RealType b() const { return _max; }

/** Writes the parameters to a @c std::ostream. */
        BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os, param_type, parm)
        {
            os << parm._min << " " << parm._max;
            return os;
        }

/** Reads the parameters from a @c std::istream. */
        BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is, param_type, parm)
        {
            RealType min_in, max_in;
            if(is >> min_in >> std::ws >> max_in) {
                if(min_in <= max_in) {
                    parm._min = min_in;
                    parm._max = max_in;
                } else {
                    is.setstate(std::ios_base::failbit);
                }
            }
            return is;
        }

/** Returns true if the two sets of parameters are equal. */
        BOOST_RANDOM_DETAIL_EQUALITY_OPERATOR(param_type, lhs, rhs)
        { return lhs._min == rhs._min && lhs._max == rhs._max; }

/** Returns true if the two sets of parameters are different. */
        BOOST_RANDOM_DETAIL_INEQUALITY_OPERATOR(param_type)

private:

RealType _min;
        RealType _max;
    };

/**
     * Constructs a uniform_real_distribution. @c min and @c max are
     * the parameters of the distribution.
     *
     * Requires: min <= max
     */
    explicit uniform_real_distribution(
        RealType min_arg = RealType(0.0),
        RealType max_arg = RealType(1.0))
      : _min(min_arg), _max(max_arg)
    {
        BOOST_ASSERT(min_arg < max_arg);
    }
    /** Constructs a uniform_real_distribution from its parameters. */
    explicit uniform_real_distribution(const param_type& parm)
      : _min(parm.a()), _max(parm.b()) {}

/**  Returns the minimum value of the distribution */
    RealType min BOOST_PREVENT_MACRO_SUBSTITUTION () const { return _min; }
    /**  Returns the maximum value of the distribution */
    RealType max BOOST_PREVENT_MACRO_SUBSTITUTION () const { return _max; }

/**  Returns the minimum value of the distribution */
    RealType a() const { return _min; }
    /**  Returns the maximum value of the distribution */
    RealType b() const { return _max; }

/** Returns the parameters of the distribution. */
    param_type param() const { return param_type(_min, _max); }
    /** Sets the parameters of the distribution. */
    void param(const param_type& parm)
    {
        _min = parm.a();
        _max = parm.b();
    }

/**
     * Effects: Subsequent uses of the distribution do not depend
     * on values produced by any engine prior to invoking reset.
     */
    void reset() { }

/** Returns a value uniformly distributed in the range [min, max). */
    template<class Engine>
    result_type operator()(Engine& eng) const
    { return detail::generate_uniform_real(eng, _min, _max); }

/**
     * Returns a value uniformly distributed in the range
     * [param.a(), param.b()).
     */
    template<class Engine>
    result_type operator()(Engine& eng, const param_type& parm) const
    { return detail::generate_uniform_real(eng, parm.a(), parm.b()); }

/** Writes the distribution to a @c std::ostream. */
    BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os, uniform_real_distribution, ud)
    {
        os << ud.param();
        return os;
    }

/** Reads the distribution from a @c std::istream. */
    BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is, uniform_real_distribution, ud)
    {
        param_type parm;
        if(is >> parm) {
            ud.param(parm);
        }
        return is;
    }

/**
     * Returns true if the two distributions will produce identical sequences
     * of values given equal generators.
     */
    BOOST_RANDOM_DETAIL_EQUALITY_OPERATOR(uniform_real_distribution, lhs, rhs)
    { return lhs._min == rhs._min && lhs._max == rhs._max; }
    
    /**
     * Returns true if the two distributions may produce different sequences
     * of values given equal generators.
     */
    BOOST_RANDOM_DETAIL_INEQUALITY_OPERATOR(uniform_real_distribution)

private:
    RealType _min;
    RealType _max;
};

} // namespace random
} // namespace boost

#endif // BOOST_RANDOM_UNIFORM_INT_HPP

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