poet/include/highfive/boost_ublas.hpp

80 lines
2.9 KiB
C++

#pragma once
#include "bits/H5Inspector_decl.hpp"
#include "H5Exception.hpp"
#include <boost/numeric/ublas/matrix.hpp>
namespace HighFive {
namespace details {
template <typename T>
struct inspector<boost::numeric::ublas::matrix<T>> {
using type = boost::numeric::ublas::matrix<T>;
using value_type = unqualified_t<T>;
using base_type = typename inspector<value_type>::base_type;
using hdf5_type = typename inspector<value_type>::hdf5_type;
static constexpr size_t ndim = 2;
static constexpr size_t min_ndim = ndim + inspector<value_type>::min_ndim;
static constexpr size_t max_ndim = ndim + inspector<value_type>::max_ndim;
static constexpr bool is_trivially_copyable = std::is_trivially_copyable<value_type>::value &&
inspector<value_type>::is_trivially_copyable;
static constexpr bool is_trivially_nestable = false;
static size_t getRank(const type& val) {
return ndim + inspector<value_type>::getRank(val(0, 0));
}
static std::vector<size_t> getDimensions(const type& val) {
std::vector<size_t> sizes{val.size1(), val.size2()};
auto s = inspector<value_type>::getDimensions(val(0, 0));
sizes.insert(sizes.end(), s.begin(), s.end());
return sizes;
}
static void prepare(type& val, const std::vector<size_t>& dims) {
if (dims.size() < ndim) {
std::ostringstream os;
os << "Impossible to pair DataSet with " << dims.size() << " dimensions into a " << ndim
<< " boost::numeric::ublas::matrix";
throw DataSpaceException(os.str());
}
val.resize(dims[0], dims[1], false);
}
static hdf5_type* data(type& val) {
return inspector<value_type>::data(val(0, 0));
}
static const hdf5_type* data(const type& val) {
return inspector<value_type>::data(val(0, 0));
}
static void serialize(const type& val, const std::vector<size_t>& dims, hdf5_type* m) {
size_t size = val.size1() * val.size2();
auto subdims = std::vector<size_t>(dims.begin() + ndim, dims.end());
size_t subsize = compute_total_size(subdims);
for (size_t i = 0; i < size; ++i) {
inspector<value_type>::serialize(*(&val(0, 0) + i), subdims, m + i * subsize);
}
}
static void unserialize(const hdf5_type* vec_align,
const std::vector<size_t>& dims,
type& val) {
std::vector<size_t> next_dims(dims.begin() + ndim, dims.end());
size_t subsize = compute_total_size(next_dims);
size_t size = val.size1() * val.size2();
for (size_t i = 0; i < size; ++i) {
inspector<value_type>::unserialize(vec_align + i * subsize,
next_dims,
*(&val(0, 0) + i));
}
}
};
} // namespace details
} // namespace HighFive