boost/compute/random/uniform_int_distribution.hpp
//---------------------------------------------------------------------------//
// Copyright (c) 2014 Roshan <thisisroshansmail@gmail.com>
//
// 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://boostorg.github.com/compute for more information.
//---------------------------------------------------------------------------//
#ifndef BOOST_COMPUTE_RANDOM_UNIFORM_INT_DISTRIBUTION_HPP
#define BOOST_COMPUTE_RANDOM_UNIFORM_INT_DISTRIBUTION_HPP
#include <limits>
#include <boost/type_traits.hpp>
#include <boost/static_assert.hpp>
#include <boost/compute/command_queue.hpp>
#include <boost/compute/container/vector.hpp>
#include <boost/compute/function.hpp>
#include <boost/compute/types/fundamental.hpp>
#include <boost/compute/algorithm/copy_if.hpp>
#include <boost/compute/algorithm/transform.hpp>
namespace boost {
namespace compute {
/// \class uniform_int_distribution
/// \brief Produces uniformily distributed random integers
///
/// The following example shows how to setup a uniform int distribution to
/// produce random integers 0 and 1.
///
/// \snippet test/test_uniform_int_distribution.cpp generate
///
template<class IntType = uint_>
class uniform_int_distribution
{
public:
typedef IntType result_type;
/// Creates a new uniform distribution producing numbers in the range
/// [\p a, \p b].
explicit uniform_int_distribution(IntType a = 0,
IntType b = (std::numeric_limits<IntType>::max)())
: m_a(a),
m_b(b)
{
}
/// Destroys the uniform_int_distribution object.
~uniform_int_distribution()
{
}
/// Returns the minimum value of the distribution.
result_type a() const
{
return m_a;
}
/// Returns the maximum value of the distribution.
result_type b() const
{
return m_b;
}
/// Generates uniformily distributed integers and stores
/// them to the range [\p first, \p last).
template<class OutputIterator, class Generator>
void generate(OutputIterator first,
OutputIterator last,
Generator &generator,
command_queue &queue)
{
size_t size = std::distance(first, last);
typedef typename Generator::result_type g_result_type;
vector<g_result_type> tmp(size, queue.get_context());
vector<g_result_type> tmp2(size, queue.get_context());
uint_ bound = ((uint_(-1))/(m_b-m_a+1))*(m_b-m_a+1);
buffer_iterator<g_result_type> tmp2_iter;
while(size>0)
{
generator.generate(tmp.begin(), tmp.begin() + size, queue);
tmp2_iter = copy_if(tmp.begin(), tmp.begin() + size, tmp2.begin(),
_1 <= bound, queue);
size = std::distance(tmp2_iter, tmp2.end());
}
BOOST_COMPUTE_FUNCTION(IntType, scale_random, (const g_result_type x),
{
return LO + (x % (HI-LO+1));
});
scale_random.define("LO", boost::lexical_cast<std::string>(m_a));
scale_random.define("HI", boost::lexical_cast<std::string>(m_b));
transform(tmp2.begin(), tmp2.end(), first, scale_random, queue);
}
private:
IntType m_a;
IntType m_b;
BOOST_STATIC_ASSERT_MSG(
boost::is_integral<IntType>::value,
"Template argument must be integral"
);
};
} // end compute namespace
} // end boost namespace
#endif // BOOST_COMPUTE_RANDOM_UNIFORM_INT_DISTRIBUTION_HPP