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PATH: opt / cpanel / ea-ruby27 / src / passenger-release-6.1.2 / src / cxx_supportlib / vendor-modified / boost / random

/* boost random/uniform_int.hpp header file
 *
 * Copyright Jens Maurer 2000-2001
 * 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
 *  2001-04-08  added min<max assertion (N. Becker)
 *  2001-02-18  moved to individual header files
 */

#ifndef BOOST_RANDOM_UNIFORM_INT_HPP
#define BOOST_RANDOM_UNIFORM_INT_HPP

#include <boost/assert.hpp>
#include <boost/random/uniform_int_distribution.hpp>

namespace boost {

/**
 * The distribution function uniform_int models a \random_distribution.
 * On each invocation, it returns a random integer value uniformly
 * distributed in the set of integer numbers {min, min+1, min+2, ..., max}.
 *
 * The template parameter IntType shall denote an integer-like value type.
 *
 * This class is deprecated.  Please use @c uniform_int_distribution in
 * new code.
 */
template<class IntType = int>
class uniform_int : public random::uniform_int_distribution<IntType>
{
    typedef random::uniform_int_distribution<IntType> base_type;
public:

class param_type : public base_type::param_type
    {
    public:
        typedef uniform_int distribution_type;
        /**
         * Constructs the parameters of a uniform_int distribution.
         *
         * Requires: min <= max
         */
        explicit param_type(IntType min_arg = 0, IntType max_arg = 9)
          : base_type::param_type(min_arg, max_arg)
        {}
    };

/**
     * Constructs a uniform_int object. @c min and @c max are
     * the parameters of the distribution.
     *
     * Requires: min <= max
     */
    explicit uniform_int(IntType min_arg = 0, IntType max_arg = 9)
      : base_type(min_arg, max_arg)
    {}

/** Constructs a uniform_int distribution from its parameters. */
    explicit uniform_int(const param_type& parm)
      : base_type(parm)
    {}

/** Returns the parameters of the distribution */
    param_type param() const { return param_type(this->a(), this->b()); }
    /** Sets the parameters of the distribution. */
    void param(const param_type& parm) { this->base_type::param(parm); }

// Codergear seems to have trouble with a using declaration here

template<class Engine>
    IntType operator()(Engine& eng) const
    {
        return static_cast<const base_type&>(*this)(eng);
    }

template<class Engine>
    IntType operator()(Engine& eng, const param_type& parm) const
    {
        return static_cast<const base_type&>(*this)(eng, parm);
    }

template<class Engine>
    IntType operator()(Engine& eng, IntType n) const
    {
        BOOST_ASSERT(n > 0);
        return static_cast<const base_type&>(*this)(eng, param_type(0, n - 1));
    }
};

} // namespace boost

#endif // BOOST_RANDOM_UNIFORM_INT_HPP

[-] uniform_smallint.hpp [edit]
[-] weibull_distribution.hpp [edit]
[-] xor_combine.hpp [edit]
[-] generate_canonical.hpp [edit]
[-] traits.hpp [edit]
[-] laplace_distribution.hpp [edit]
[-] hyperexponential_distribution.hpp [edit]
[-] student_t_distribution.hpp [edit]
[-] lagged_fibonacci.hpp [edit]
[-] uniform_int.hpp [edit]
[-] binomial_distribution.hpp [edit]
[-] uniform_on_sphere.hpp [edit]
[-] bernoulli_distribution.hpp [edit]
[-] triangle_distribution.hpp [edit]
[-] beta_distribution.hpp [edit]
[-] subtract_with_carry.hpp [edit]
[-] uniform_01.hpp [edit]
[-] discrete_distribution.hpp [edit]
[-] variate_generator.hpp [edit]
[-] taus88.hpp [edit]
[-] generalized_inverse_gaussian_distribution.hpp [edit]
[-] random_number_generator.hpp [edit]
[-] exponential_distribution.hpp [edit]
[+] ..
[-] inverse_gaussian_distribution.hpp [edit]
[-] xoshiro.hpp [edit]
[-] inversive_congruential.hpp [edit]
[-] cauchy_distribution.hpp [edit]
[-] faure.hpp [edit]
[-] chi_squared_distribution.hpp [edit]
[-] linear_congruential.hpp [edit]
[-] mersenne_twister.hpp [edit]
[-] lognormal_distribution.hpp [edit]
[-] uniform_int_distribution.hpp [edit]
[-] geometric_distribution.hpp [edit]
[-] piecewise_linear_distribution.hpp [edit]
[-] independent_bits.hpp [edit]
[-] extreme_value_distribution.hpp [edit]
[-] splitmix64.hpp [edit]
[-] gamma_distribution.hpp [edit]
[-] niederreiter_base2.hpp [edit]
[-] poisson_distribution.hpp [edit]
[-] mixmax.hpp [edit]
[-] uniform_real_distribution.hpp [edit]
[-] discard_block.hpp [edit]
[-] seed_seq.hpp [edit]
[-] normal_distribution.hpp [edit]
[-] fisher_f_distribution.hpp [edit]
[-] negative_binomial_distribution.hpp [edit]
[-] shuffle_output.hpp [edit]
[-] linear_feedback_shift.hpp [edit]
[-] additive_combine.hpp [edit]
[+] detail
[-] shuffle_order.hpp [edit]
[-] random_device.hpp [edit]
[-] sobol.hpp [edit]
[-] ranlux.hpp [edit]
[-] uniform_real.hpp [edit]
[-] non_central_chi_squared_distribution.hpp [edit]
[-] piecewise_constant_distribution.hpp [edit]