This project is a demonstrator tool, made by the MOISE project, that translates timed Altarica models into Fiacre models. Such translation allows to use model checkers such as Tina to prove properties. The project contains the translator tool.
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//
// Copyright (c) 2002--2010
// Toon Knapen, Karl Meerbergen, Kresimir Fresl,
// Thomas Klimpel and Rutger ter Borg
//
// 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)
//
// THIS FILE IS AUTOMATICALLY GENERATED
// PLEASE DO NOT EDIT!
//
#ifndef BOOST_NUMERIC_BINDINGS_LAPACK_AUXILIARY_LANHE_HPP
#define BOOST_NUMERIC_BINDINGS_LAPACK_AUXILIARY_LANHE_HPP
#include <boost/assert.hpp>
#include <boost/numeric/bindings/begin.hpp>
#include <boost/numeric/bindings/detail/array.hpp>
#include <boost/numeric/bindings/is_column_major.hpp>
#include <boost/numeric/bindings/is_mutable.hpp>
#include <boost/numeric/bindings/lapack/workspace.hpp>
#include <boost/numeric/bindings/remove_imaginary.hpp>
#include <boost/numeric/bindings/size.hpp>
#include <boost/numeric/bindings/stride.hpp>
#include <boost/numeric/bindings/uplo_tag.hpp>
#include <boost/numeric/bindings/value_type.hpp>
#include <boost/static_assert.hpp>
#include <boost/type_traits/is_same.hpp>
#include <boost/type_traits/remove_const.hpp>
//
// The LAPACK-backend for lanhe is the netlib-compatible backend.
//
#include <boost/numeric/bindings/lapack/detail/lapack.h>
#include <boost/numeric/bindings/lapack/detail/lapack_option.hpp>
namespace boost {
namespace numeric {
namespace bindings {
namespace lapack {
//
// The detail namespace contains value-type-overloaded functions that
// dispatch to the appropriate back-end LAPACK-routine.
//
namespace detail {
//
// Overloaded function for dispatching to
// * netlib-compatible LAPACK backend (the default), and
// * complex<float> value-type.
//
template< typename UpLo >
inline std::ptrdiff_t lanhe( const char norm, const UpLo,
const fortran_int_t n, const std::complex<float>* a,
const fortran_int_t lda, float* work ) {
fortran_int_t info(0);
LAPACK_CLANHE( &norm, &lapack_option< UpLo >::value, &n, a, &lda, work );
return info;
}
//
// Overloaded function for dispatching to
// * netlib-compatible LAPACK backend (the default), and
// * complex<double> value-type.
//
template< typename UpLo >
inline std::ptrdiff_t lanhe( const char norm, const UpLo,
const fortran_int_t n, const std::complex<double>* a,
const fortran_int_t lda, double* work ) {
fortran_int_t info(0);
LAPACK_ZLANHE( &norm, &lapack_option< UpLo >::value, &n, a, &lda, work );
return info;
}
} // namespace detail
//
// Value-type based template class. Use this class if you need a type
// for dispatching to lanhe.
//
template< typename Value >
struct lanhe_impl {
typedef Value value_type;
typedef typename remove_imaginary< Value >::type real_type;
//
// Static member function for user-defined workspaces, that
// * Deduces the required arguments for dispatching to LAPACK, and
// * Asserts that most arguments make sense.
//
template< typename MatrixA, typename WORK >
static std::ptrdiff_t invoke( const char norm, const MatrixA& a,
detail::workspace1< WORK > work ) {
namespace bindings = ::boost::numeric::bindings;
typedef typename result_of::uplo_tag< MatrixA >::type uplo;
BOOST_STATIC_ASSERT( (bindings::is_column_major< MatrixA >::value) );
BOOST_ASSERT( bindings::size(work.select(real_type())) >=
min_size_work( norm, bindings::size_column(a) ));
BOOST_ASSERT( bindings::size_column(a) >= 0 );
BOOST_ASSERT( bindings::size_minor(a) == 1 ||
bindings::stride_minor(a) == 1 );
BOOST_ASSERT( bindings::stride_major(a) >= std::max<
std::ptrdiff_t >(bindings::size_column(a),1) );
return detail::lanhe( norm, uplo(), bindings::size_column(a),
bindings::begin_value(a), bindings::stride_major(a),
bindings::begin_value(work.select(real_type())) );
}
//
// Static member function that
// * Figures out the minimal workspace requirements, and passes
// the results to the user-defined workspace overload of the
// invoke static member function
// * Enables the unblocked algorithm (BLAS level 2)
//
template< typename MatrixA >
static std::ptrdiff_t invoke( const char norm, const MatrixA& a,
minimal_workspace ) {
namespace bindings = ::boost::numeric::bindings;
typedef typename result_of::uplo_tag< MatrixA >::type uplo;
bindings::detail::array< real_type > tmp_work( min_size_work( norm,
bindings::size_column(a) ) );
return invoke( norm, a, workspace( tmp_work ) );
}
//
// Static member function that
// * Figures out the optimal workspace requirements, and passes
// the results to the user-defined workspace overload of the
// invoke static member
// * Enables the blocked algorithm (BLAS level 3)
//
template< typename MatrixA >
static std::ptrdiff_t invoke( const char norm, const MatrixA& a,
optimal_workspace ) {
namespace bindings = ::boost::numeric::bindings;
typedef typename result_of::uplo_tag< MatrixA >::type uplo;
return invoke( norm, a, minimal_workspace() );
}
//
// Static member function that returns the minimum size of
// workspace-array work.
//
static std::ptrdiff_t min_size_work( const char norm,
const std::ptrdiff_t n ) {
if ( norm == 'I' || norm == '1' || norm == 'O' )
return std::max< std::ptrdiff_t >( 1, n );
else
return 1;
}
};
//
// Functions for direct use. These functions are overloaded for temporaries,
// so that wrapped types can still be passed and used for write-access. In
// addition, if applicable, they are overloaded for user-defined workspaces.
// Calls to these functions are passed to the lanhe_impl classes. In the
// documentation, most overloads are collapsed to avoid a large number of
// prototypes which are very similar.
//
//
// Overloaded function for lanhe. Its overload differs for
// * User-defined workspace
//
template< typename MatrixA, typename Workspace >
inline typename boost::enable_if< detail::is_workspace< Workspace >,
std::ptrdiff_t >::type
lanhe( const char norm, const MatrixA& a, Workspace work ) {
return lanhe_impl< typename bindings::value_type<
MatrixA >::type >::invoke( norm, a, work );
}
//
// Overloaded function for lanhe. Its overload differs for
// * Default workspace-type (optimal)
//
template< typename MatrixA >
inline typename boost::disable_if< detail::is_workspace< MatrixA >,
std::ptrdiff_t >::type
lanhe( const char norm, const MatrixA& a ) {
return lanhe_impl< typename bindings::value_type<
MatrixA >::type >::invoke( norm, a, optimal_workspace() );
}
} // namespace lapack
} // namespace bindings
} // namespace numeric
} // namespace boost
#endif