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/*
* Copyright 2008-2021 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.
*/
#pragma once
#include <thrust/detail/config.h>
#include <thrust/random/linear_congruential_engine.h>
#include <thrust/random/detail/mod.h>
#include <thrust/random/detail/random_core_access.h>
THRUST_NAMESPACE_BEGIN
namespace random
{
template<typename UIntType, UIntType a, UIntType c, UIntType m>
__host__ __device__
linear_congruential_engine<UIntType,a,c,m>
::linear_congruential_engine(result_type s)
{
seed(s);
} // end linear_congruential_engine::linear_congruential_engine()
template<typename UIntType, UIntType a, UIntType c, UIntType m>
__host__ __device__
void linear_congruential_engine<UIntType,a,c,m>
::seed(result_type s)
{
if((detail::mod<UIntType, 1, 0, m>(c) == 0) &&
(detail::mod<UIntType, 1, 0, m>(s) == 0))
m_x = detail::mod<UIntType, 1, 0, m>(1);
else
m_x = detail::mod<UIntType, 1, 0, m>(s);
} // end linear_congruential_engine::seed()
template<typename UIntType, UIntType a, UIntType c, UIntType m>
__host__ __device__
typename linear_congruential_engine<UIntType,a,c,m>::result_type
linear_congruential_engine<UIntType,a,c,m>
::operator()(void)
{
m_x = detail::mod<UIntType,a,c,m>(m_x);
return m_x;
} // end linear_congruential_engine::operator()()
template<typename UIntType, UIntType a, UIntType c, UIntType m>
__host__ __device__
void linear_congruential_engine<UIntType,a,c,m>
::discard(unsigned long long z)
{
thrust::random::detail::linear_congruential_engine_discard::discard(*this,z);
} // end linear_congruential_engine::discard()
template<typename UIntType, UIntType a, UIntType c, UIntType m>
template<typename CharT, typename Traits>
std::basic_ostream<CharT,Traits>& linear_congruential_engine<UIntType,a,c,m>
::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 & fill character
const typename ios_base::fmtflags flags = os.flags();
const CharT fill = os.fill();
os.flags(ios_base::dec | ios_base::fixed | ios_base::left);
os.fill(os.widen(' '));
// output one word of state
os << m_x;
// restore flags & fill character
os.flags(flags);
os.fill(fill);
return os;
}
template<typename UIntType, UIntType a, UIntType c, UIntType m>
template<typename CharT, typename Traits>
std::basic_istream<CharT,Traits>& linear_congruential_engine<UIntType,a,c,m>
::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::dec);
// input one word of state
is >> m_x;
// restore flags
is.flags(flags);
return is;
}
template<typename UIntType, UIntType a, UIntType c, UIntType m>
__host__ __device__
bool linear_congruential_engine<UIntType,a,c,m>
::equal(const linear_congruential_engine<UIntType,a,c,m> &rhs) const
{
return m_x == rhs.m_x;
}
template<typename UIntType_, UIntType_ a_, UIntType_ c_, UIntType_ m_>
__host__ __device__
bool operator==(const linear_congruential_engine<UIntType_,a_,c_,m_> &lhs,
const linear_congruential_engine<UIntType_,a_,c_,m_> &rhs)
{
return detail::random_core_access::equal(lhs,rhs);
}
template<typename UIntType, UIntType a, UIntType c, UIntType m>
__host__ __device__
bool operator!=(const linear_congruential_engine<UIntType,a,c,m> &lhs,
const linear_congruential_engine<UIntType,a,c,m> &rhs)
{
return !(lhs == rhs);
}
template<typename UIntType_, UIntType_ a_, UIntType_ c_, UIntType_ m_,
typename CharT, typename Traits>
std::basic_ostream<CharT,Traits>&
operator<<(std::basic_ostream<CharT,Traits> &os,
const linear_congruential_engine<UIntType_,a_,c_,m_> &e)
{
return detail::random_core_access::stream_out(os,e);
}
template<typename UIntType_, UIntType_ a_, UIntType_ c_, UIntType_ m_,
typename CharT, typename Traits>
std::basic_istream<CharT,Traits>&
operator>>(std::basic_istream<CharT,Traits> &is,
linear_congruential_engine<UIntType_,a_,c_,m_> &e)
{
return detail::random_core_access::stream_in(is,e);
}
} // end random
THRUST_NAMESPACE_END
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