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// SPDX-FileCopyrightInfo: Copyright © DUNE Project contributors, see file LICENSE.md in module root
// SPDX-License-Identifier: LicenseRef-GPL-2.0-only-with-DUNE-exception
#ifndef DUNE_PYTHON_COMMON_TYPE_TRAITS_HH
#define DUNE_PYTHON_COMMON_TYPE_TRAITS_HH
#include <type_traits>
#include <utility>
#include <dune/common/ftraits.hh>
#include <dune/common/rangeutilities.hh>
#include <dune/common/typetraits.hh>
#include <dune/common/std/type_traits.hh>
#include <dune/python/pybind11/numpy.h>
#include <dune/python/pybind11/pybind11.h>
namespace Dune
{
// External Forward Declarations
// -----------------------------
template< class V >
class DenseVector;
template< class K, int n >
class FieldVector;
template< class K, int m, int n >
class FieldMatrix;
namespace Imp
{
template< class B, class ST >
class block_vector_unmanaged;
template< class B, class A >
class compressed_block_vector_unmanaged;
} // namespace Imp
namespace Python
{
// IsDenseVector
// -------------
template< class T, class = void >
struct IsDenseVector
: public std::false_type
{};
template< class T >
struct IsDenseVector< T, std::enable_if_t< std::is_base_of< Dune::DenseVector< T >, T >::value > >
: public std::true_type
{};
// IsBlockVector
// -------------
template< class T, class = void >
struct IsBlockVector
: public std::false_type
{};
template< class T >
struct IsBlockVector< T, std::enable_if_t< std::is_base_of< Imp::block_vector_unmanaged< typename T::block_type, typename T::size_type >, T >::value > >
: public std::true_type
{};
template< class T >
struct IsBlockVector< T, std::enable_if_t< std::is_base_of< Imp::compressed_block_vector_unmanaged< typename T::block_type, typename T::allocator_type >, T >::value > >
: public std::true_type
{};
// IsOneTensor
// -----------
template< class T, class = void >
struct IsOneTensor
: public std::false_type
{};
template< class T >
struct IsOneTensor< T, std::enable_if_t< IsDenseVector< T >::value > >
: public std::true_type
{};
template< class T >
struct IsOneTensor< T, std::enable_if_t< IsBlockVector< T >::value && IsOneTensor< typename T::block_type >::value > >
: public std::true_type
{};
namespace detail
{
// registerOneTensorInterface
// --------------------------
template< class T, class... options >
inline static auto registerOneTensorInterface ( pybind11::class_< T, options... > cls, PriorityTag< 1 > )
-> std::enable_if_t< IsOneTensor< T >::value >
{
cls.def( "__mul__", [] ( const T &self, const T &other ) { return self * other; } );
cls.def( "__rmul__", [] ( const T &self, const T &other ) { return self * other; } );
cls.def_property_readonly( "one_norm", [] ( const T &self ) { return self.one_norm(); } );
cls.def_property_readonly( "one_norm_real", [] ( const T &self ) { return self.one_norm_real(); } );
cls.def_property_readonly( "two_norm", [] ( const T &self ) { return self.two_norm(); } );
cls.def_property_readonly( "two_norm2", [] ( const T &self ) { return self.two_norm2(); } );
cls.def_property_readonly( "infinity_norm", [] ( const T &self ) { return self.infinity_norm(); } );
cls.def_property_readonly( "infinity_norm_real", [] ( const T &self ) { return self.infinity_norm_real(); } );
}
template< class T, class... options >
inline static void registerOneTensorInterface ( pybind11::class_< T, options... > cls, PriorityTag< 0 > )
{}
template< class T, class... options >
inline static void registerOneTensorInterface ( pybind11::class_< T, options... > cls )
{
registerOneTensorInterface( cls, PriorityTag< 42 >() );
}
} // namespace detail
// FixedTensorTraits
// -----------------
template< class T, class = void >
struct FixedTensorTraits;
template< class T >
struct FixedTensorTraits< T, std::enable_if_t< IsNumber< T >::value > >
{
static constexpr std::array< ssize_t, 0 > shape () noexcept { return {{}}; }
};
template< class K, int n >
struct FixedTensorTraits< FieldVector< K, n >, void >
{
static constexpr std::array< ssize_t, 1 > shape () noexcept { return {{ n }}; }
};
template< class K, int m, int n >
struct FixedTensorTraits< FieldMatrix< K, m, n >, void >
{
static constexpr std::array< ssize_t, 2 > shape () noexcept { return {{ m, n }}; }
};
// extendArray
// -----------
template< std::size_t... i, class T, class... X >
inline static constexpr auto extendArray ( std::index_sequence< i... >, const std::array< T, sizeof...( i ) > &array, X &&... x )
-> std::enable_if_t< std::conjunction< std::is_convertible< X, T >... >::value, std::array< T, sizeof...( i )+sizeof...( X ) > >
{
return {{ array[ i ]..., std::forward< X >( x )... }};
}
template< class T, std::size_t n, class... X >
inline static constexpr std::array< T, n+sizeof...( X ) > extendArray ( const std::array< T, n > &array, X &&... x )
{
return extendArray( std::make_index_sequence< n >(), array, std::forward< X >( x )... );
}
// getFixedTensor
// --------------
template< std::size_t... k, class X, class Y, std::size_t n, class... I >
inline static auto getFixedTensor ( std::index_sequence< k... >, X &x, const Y &y, std::array< ssize_t, n > j, I... i )
-> std::enable_if_t< (sizeof...( k ) == n) >
{
x = y( j[ k ]..., i... );
}
template< std::size_t... k, class X, class Y, std::size_t n, class... I >
inline static auto getFixedTensor ( std::index_sequence< k... >, X &x, const Y &y, std::array< ssize_t, n > j, I... i )
-> std::enable_if_t< (sizeof...( k ) < n) >
{
ssize_t &it = j[ sizeof...( k ) ];
ssize_t end = it;
for( it = 0; it < end; ++it )
getFixedTensor( std::index_sequence< k..., sizeof...( k ) >(), x[ it ], y, j, i... );
}
template< class X, class Y, class... I >
inline static auto getFixedTensor ( X &x, const Y &y, I... i )
{
getFixedTensor( std::index_sequence<>(), x, y, FixedTensorTraits< X >::shape(), i... );
}
// setFixedTensor
// --------------
template< std::size_t... k, class X, class Y, std::size_t n, class... I >
inline static auto setFixedTensor ( std::index_sequence< k... >, const X &x, Y &y, std::array< ssize_t, n > j, I... i )
-> std::enable_if_t< (sizeof...( k ) == n) >
{
y( j[ k ]..., i... ) = x;
}
template< std::size_t... k, class X, class Y, std::size_t n, class... I >
inline static auto setFixedTensor ( std::index_sequence< k... >, const X &x, Y &y, std::array< ssize_t, n > j, I... i )
-> std::enable_if_t< (sizeof...( k ) < n) >
{
ssize_t &it = j[ sizeof...( k ) ];
ssize_t end = it;
for( it = 0; it < end; ++it )
setFixedTensor( std::index_sequence< k..., sizeof...( k ) >(), x[ it ], y, j, i... );
}
template< class X, class Y, class... I >
inline static auto setFixedTensor ( const X &x, Y &y, I... i )
{
setFixedTensor( std::index_sequence<>(), x, y, FixedTensorTraits< X >::shape(), i... );
}
// vectorize
// ---------
template< class F, class Y, class X >
inline static pybind11::object vectorize ( F &&f, Y (*)( X ), pybind11::array_t< typename FieldTraits< std::decay_t< X > >::field_type > xArray )
{
const auto xShape = FixedTensorTraits< std::decay_t< X > >::shape();
auto x = xArray.unchecked();
if( (std::size_t)x.ndim() < xShape.size() )
throw pybind11::value_error( "Tensor has too few dimensions" );
for( auto i : range( xShape.size() ) )
{
if( x.shape( i ) != xShape[ i ] )
throw pybind11::value_error( "Tensor has wrong shape" );
}
std::decay_t< X > xi;
if( (xShape.size() > 0) && (x.ndim() == xShape.size()) )
{
getFixedTensor( xi, x );
return pybind11::cast( f( xi ) );
}
else if( x.ndim() == xShape.size() + 1 )
{
const ssize_t size = x.shape( xShape.size() );
const auto yShape = extendArray( FixedTensorTraits< std::decay_t< Y > >::shape(), size );
pybind11::array_t< typename FieldTraits< std::decay_t< Y > >::field_type > yArray( yShape );
auto y = yArray.template mutable_unchecked< yShape.size() >();
for( auto i : range( size ) )
{
getFixedTensor( xi, x, i );
setFixedTensor( f( xi ), y, i );
}
return std::move(yArray);
}
else
throw pybind11::value_error( "Tensor has too many dimensions" );
}
template< class F, class X >
inline static auto vectorize ( F &&f, pybind11::array_t< X > xArray )
-> decltype( vectorize( std::forward< F >( f ), static_cast< pybind11::detail::function_signature_t< F > * >( nullptr ), std::move( xArray ) ) )
{
return vectorize( std::forward< F >( f ), static_cast< pybind11::detail::function_signature_t< F > * >( nullptr ), std::move( xArray ) );
}
} // namespace Python
} // namespace Dune
#endif // #ifndef DUNE_PYTHON_COMMON_TYPE_TRAITS_HH
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