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/bernoulli_distribution.hpp (5608B)

/* boost random/bernoulli_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.
 *
 * $Id$
 *
 * Revision history
 *  2001-02-18  moved to individual header files
 */

#ifndef BOOST_RANDOM_BERNOULLI_DISTRIBUTION_HPP
#define BOOST_RANDOM_BERNOULLI_DISTRIBUTION_HPP

#include <iosfwd>
#include <boost/assert.hpp>
#include <boost/random/detail/config.hpp>
#include <boost/random/detail/operators.hpp>

namespace boost {
namespace random {

/**
 * Instantiations of class template \bernoulli_distribution model a
 * \random_distribution. Such a random distribution produces bool values
 * distributed with probabilities P(true) = p and P(false) = 1-p. p is
 * the parameter of the distribution.
 */
template<class RealType = double>
class bernoulli_distribution
{
public:
    // In principle, this could work with both integer and floating-point
    // types.  Generating floating-point random numbers in the first
    // place is probably more expensive, so use integer as input.
    typedef int input_type;
    typedef bool result_type;

class param_type
    {
    public:

typedef bernoulli_distribution distribution_type;

/** 
         * Constructs the parameters of the distribution.
         *
         * Requires: 0 <= p <= 1
         */
        explicit param_type(RealType p_arg = RealType(0.5))
          : _p(p_arg)
        {
            BOOST_ASSERT(_p >= 0);
            BOOST_ASSERT(_p <= 1);
        }

/** Returns the p parameter of the distribution. */
        RealType p() const { return _p; }

/** Writes the parameters to a std::ostream. */
        BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os, param_type, parm)
        {
            os << parm._p;
            return os;
        }

/** Reads the parameters from a std::istream. */
        BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is, param_type, parm)
        {
            is >> parm._p;
            return is;
        }

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

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

private:
        RealType _p;
    };

/** 
     * Constructs a \bernoulli_distribution object.
     * p is the parameter of the distribution.
     *
     * Requires: 0 <= p <= 1
     */
    explicit bernoulli_distribution(const RealType& p_arg = RealType(0.5)) 
      : _p(p_arg)
    {
        BOOST_ASSERT(_p >= 0);
        BOOST_ASSERT(_p <= 1);
    }
    /**
     * Constructs \bernoulli_distribution from its parameters
     */
    explicit bernoulli_distribution(const param_type& parm)
      : _p(parm.p()) {}

// compiler-generated copy ctor and assignment operator are fine

/**
     * Returns: The "p" parameter of the distribution.
     */
    RealType p() const { return _p; }

/** Returns the smallest value that the distribution can produce. */
    bool min BOOST_PREVENT_MACRO_SUBSTITUTION () const
    { return false; }
    /** Returns the largest value that the distribution can produce. */
    bool max BOOST_PREVENT_MACRO_SUBSTITUTION () const
    { return true; }

/** Returns the parameters of the distribution. */
    param_type param() const { return param_type(_p); }
    /** Sets the parameters of the distribution. */
    void param(const param_type& parm) { _p = parm.p(); }

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

/**
     * Returns: a random variate distributed according to the
     * \bernoulli_distribution.
     */
    template<class Engine>
    bool operator()(Engine& eng) const
    {
        if(_p == RealType(0))
            return false;
        else
            return RealType(eng() - (eng.min)()) <= _p * RealType((eng.max)()-(eng.min)());
    }

/**
     * Returns: a random variate distributed according to the
     * \bernoulli_distribution with parameters specified by param.
     */
    template<class Engine>
    bool operator()(Engine& eng, const param_type& parm) const
    {
        return bernoulli_distribution(parm)(eng);
    }

/**
     * Writes the parameters of the distribution to a @c std::ostream.
     */
    BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os, bernoulli_distribution, bd)
    {
        os << bd._p;
        return os;
    }

/**
     * Reads the parameters of the distribution from a @c std::istream.
     */
    BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is, bernoulli_distribution, bd)
    {
        is >> bd._p;
        return is;
    }

/**
     * Returns true iff the two distributions will produce identical
     * sequences of values given equal generators.
     */
    BOOST_RANDOM_DETAIL_EQUALITY_OPERATOR(bernoulli_distribution, lhs, rhs)
    { return lhs._p == rhs._p; }
    
    /**
     * Returns true iff the two distributions will produce different
     * sequences of values given equal generators.
     */
    BOOST_RANDOM_DETAIL_INEQUALITY_OPERATOR(bernoulli_distribution)

private:
    RealType _p;
};

} // namespace random

using random::bernoulli_distribution;

} // namespace boost

#endif // BOOST_RANDOM_BERNOULLI_DISTRIBUTION_HPP

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