GOSTCoin CUDA miner project, compatible with most nvidia cards, containing only gostd algo
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/*
* Copyright 2008-2012 NVIDIA Corporation
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include <thrust/random/uniform_real_distribution.h>
namespace thrust
{
namespace random
{
template<typename RealType>
uniform_real_distribution<RealType>
::uniform_real_distribution(RealType a, RealType b)
:m_param(a,b)
{
} // end uniform_real_distribution::uniform_real_distribution()
template<typename RealType>
uniform_real_distribution<RealType>
::uniform_real_distribution(const param_type &parm)
:m_param(parm)
{
} // end uniform_real_distribution::uniform_real_distribution()
template<typename RealType>
void uniform_real_distribution<RealType>
::reset(void)
{
} // end uniform_real_distribution::reset()
template<typename RealType>
template<typename UniformRandomNumberGenerator>
typename uniform_real_distribution<RealType>::result_type
uniform_real_distribution<RealType>
::operator()(UniformRandomNumberGenerator &urng)
{
return operator()(urng, m_param);
} // end uniform_real::operator()()
template<typename RealType>
template<typename UniformRandomNumberGenerator>
typename uniform_real_distribution<RealType>::result_type
uniform_real_distribution<RealType>
::operator()(UniformRandomNumberGenerator &urng,
const param_type &parm)
{
// call the urng & map its result to [0,1)
result_type result = static_cast<result_type>(urng() - UniformRandomNumberGenerator::min);
// adding one to the denominator ensures that the interval is half-open at 1.0
// XXX adding 1.0 to a potentially large floating point number seems like a bad idea
// XXX OTOH adding 1 to what is potentially UINT_MAX also seems like a bad idea
// XXX we could statically check if 1u + (max - min) is representable and do that, otherwise use the current implementation
result /= (result_type(1) + static_cast<result_type>(UniformRandomNumberGenerator::max - UniformRandomNumberGenerator::min));
return (result * (parm.second - parm.first)) + parm.first;
} // end uniform_real::operator()()
template<typename RealType>
typename uniform_real_distribution<RealType>::result_type
uniform_real_distribution<RealType>
::a(void) const
{
return m_param.first;
} // end uniform_real::a()
template<typename RealType>
typename uniform_real_distribution<RealType>::result_type
uniform_real_distribution<RealType>
::b(void) const
{
return m_param.second;
} // end uniform_real_distribution::b()
template<typename RealType>
typename uniform_real_distribution<RealType>::param_type
uniform_real_distribution<RealType>
::param(void) const
{
return m_param;;
} // end uniform_real_distribution::param()
template<typename RealType>
void uniform_real_distribution<RealType>
::param(const param_type &parm)
{
m_param = parm;
} // end uniform_real_distribution::param()
template<typename RealType>
typename uniform_real_distribution<RealType>::result_type
uniform_real_distribution<RealType>
::min THRUST_PREVENT_MACRO_SUBSTITUTION (void) const
{
return a();
} // end uniform_real_distribution::min()
template<typename RealType>
typename uniform_real_distribution<RealType>::result_type
uniform_real_distribution<RealType>
::max THRUST_PREVENT_MACRO_SUBSTITUTION (void) const
{
return b();
} // end uniform_real_distribution::max()
template<typename RealType>
bool uniform_real_distribution<RealType>
::equal(const uniform_real_distribution &rhs) const
{
return m_param == rhs.param();
}
template<typename RealType>
template<typename CharT, typename Traits>
std::basic_ostream<CharT,Traits>&
uniform_real_distribution<RealType>
::stream_out(std::basic_ostream<CharT,Traits> &os) const
{
typedef std::basic_ostream<CharT,Traits> ostream_type;
typedef typename ostream_type::ios_base ios_base;
// save old flags and fill character
const typename ios_base::fmtflags flags = os.flags();
const CharT fill = os.fill();
const CharT space = os.widen(' ');
os.flags(ios_base::dec | ios_base::fixed | ios_base::left);
os.fill(space);
os << a() << space << b();
// restore old flags and fill character
os.flags(flags);
os.fill(fill);
return os;
}
template<typename RealType>
template<typename CharT, typename Traits>
std::basic_istream<CharT,Traits>&
uniform_real_distribution<RealType>
::stream_in(std::basic_istream<CharT,Traits> &is)
{
typedef std::basic_istream<CharT,Traits> istream_type;
typedef typename istream_type::ios_base ios_base;
// save old flags
const typename ios_base::fmtflags flags = is.flags();
is.flags(ios_base::skipws);
is >> m_param.first >> m_param.second;
// restore old flags
is.flags(flags);
return is;
}
template<typename RealType>
bool operator==(const uniform_real_distribution<RealType> &lhs,
const uniform_real_distribution<RealType> &rhs)
{
return thrust::random::detail::random_core_access::equal(lhs,rhs);
}
template<typename RealType>
bool operator!=(const uniform_real_distribution<RealType> &lhs,
const uniform_real_distribution<RealType> &rhs)
{
return !(lhs == rhs);
}
template<typename RealType,
typename CharT, typename Traits>
std::basic_ostream<CharT,Traits>&
operator<<(std::basic_ostream<CharT,Traits> &os,
const uniform_real_distribution<RealType> &d)
{
return thrust::random::detail::random_core_access::stream_out(os,d);
}
template<typename RealType,
typename CharT, typename Traits>
std::basic_istream<CharT,Traits>&
operator>>(std::basic_istream<CharT,Traits> &is,
uniform_real_distribution<RealType> &d)
{
return thrust::random::detail::random_core_access::stream_in(is,d);
}
} // end random
} // end thrust