eigen/doc/examples/nullary_indexing.cpp
Antonio Sanchez 2468253c9a Define EIGEN_CPLUSPLUS and replace most __cplusplus checks.
The macro `__cplusplus` is not defined correctly in MSVC unless building
with the the `/Zc:__cplusplus` flag. Instead, it defines `_MSVC_LANG` to the
specified c++ standard version number.

Here we introduce `EIGEN_CPLUSPLUS` which will contain the c++ version
number both for MSVC and otherwise.  This simplifies checks for supported
features.

Also replaced most instances of standard version checking via `__cplusplus`
with the existing `EIGEN_COMP_CXXVER` macro for better clarity.

Fixes: #2170
2021-03-05 18:33:18 +00:00

67 lines
2.4 KiB
C++

#include <Eigen/Core>
#include <iostream>
using namespace Eigen;
// [functor]
template<class ArgType, class RowIndexType, class ColIndexType>
class indexing_functor {
const ArgType &m_arg;
const RowIndexType &m_rowIndices;
const ColIndexType &m_colIndices;
public:
typedef Matrix<typename ArgType::Scalar,
RowIndexType::SizeAtCompileTime,
ColIndexType::SizeAtCompileTime,
ArgType::Flags&RowMajorBit?RowMajor:ColMajor,
RowIndexType::MaxSizeAtCompileTime,
ColIndexType::MaxSizeAtCompileTime> MatrixType;
indexing_functor(const ArgType& arg, const RowIndexType& row_indices, const ColIndexType& col_indices)
: m_arg(arg), m_rowIndices(row_indices), m_colIndices(col_indices)
{}
const typename ArgType::Scalar& operator() (Index row, Index col) const {
return m_arg(m_rowIndices[row], m_colIndices[col]);
}
};
// [functor]
// [function]
template <class ArgType, class RowIndexType, class ColIndexType>
CwiseNullaryOp<indexing_functor<ArgType,RowIndexType,ColIndexType>, typename indexing_functor<ArgType,RowIndexType,ColIndexType>::MatrixType>
mat_indexing(const Eigen::MatrixBase<ArgType>& arg, const RowIndexType& row_indices, const ColIndexType& col_indices)
{
typedef indexing_functor<ArgType,RowIndexType,ColIndexType> Func;
typedef typename Func::MatrixType MatrixType;
return MatrixType::NullaryExpr(row_indices.size(), col_indices.size(), Func(arg.derived(), row_indices, col_indices));
}
// [function]
int main()
{
std::cout << "[main1]\n";
Eigen::MatrixXi A = Eigen::MatrixXi::Random(4,4);
Array3i ri(1,2,1);
ArrayXi ci(6); ci << 3,2,1,0,0,2;
Eigen::MatrixXi B = mat_indexing(A, ri, ci);
std::cout << "A =" << std::endl;
std::cout << A << std::endl << std::endl;
std::cout << "A([" << ri.transpose() << "], [" << ci.transpose() << "]) =" << std::endl;
std::cout << B << std::endl;
std::cout << "[main1]\n";
std::cout << "[main2]\n";
B = mat_indexing(A, ri+1, ci);
std::cout << "A(ri+1,ci) =" << std::endl;
std::cout << B << std::endl << std::endl;
#if EIGEN_COMP_CXXVER >= 11
B = mat_indexing(A, ArrayXi::LinSpaced(13,0,12).unaryExpr([](int x){return x%4;}), ArrayXi::LinSpaced(4,0,3));
std::cout << "A(ArrayXi::LinSpaced(13,0,12).unaryExpr([](int x){return x%4;}), ArrayXi::LinSpaced(4,0,3)) =" << std::endl;
std::cout << B << std::endl << std::endl;
#endif
std::cout << "[main2]\n";
}