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Allowing more precise control over which parts of boost need to be available.
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#pragma once | ||
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#include "bits/H5Inspector_decl.hpp" | ||
#include "H5Exception.hpp" | ||
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#include <boost/multi_array.hpp> | ||
#include <boost/numeric/ublas/matrix.hpp> | ||
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namespace HighFive { | ||
namespace details { | ||
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template <typename T, size_t Dims> | ||
struct inspector<boost::multi_array<T, Dims>> { | ||
using type = boost::multi_array<T, Dims>; | ||
using value_type = T; | ||
using base_type = typename inspector<value_type>::base_type; | ||
using hdf5_type = typename inspector<value_type>::hdf5_type; | ||
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static constexpr size_t ndim = Dims; | ||
static constexpr size_t min_ndim = ndim + inspector<value_type>::min_ndim; | ||
static constexpr size_t max_ndim = ndim + inspector<value_type>::max_ndim; | ||
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static constexpr bool is_trivially_copyable = std::is_trivially_copyable<value_type>::value && | ||
inspector<value_type>::is_trivially_nestable; | ||
static constexpr bool is_trivially_nestable = false; | ||
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static size_t getRank(const type& val) { | ||
return ndim + inspector<value_type>::getRank(val.data()[0]); | ||
} | ||
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static std::vector<size_t> getDimensions(const type& val) { | ||
auto rank = getRank(val); | ||
std::vector<size_t> sizes(rank, 1ul); | ||
for (size_t i = 0; i < ndim; ++i) { | ||
sizes[i] = val.shape()[i]; | ||
} | ||
if (val.size() != 0) { | ||
auto s = inspector<value_type>::getDimensions(val.data()[0]); | ||
sizes.resize(ndim + s.size()); | ||
for (size_t i = 0; i < s.size(); ++i) { | ||
sizes[ndim + i] = s[i]; | ||
} | ||
} | ||
return sizes; | ||
} | ||
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static void prepare(type& val, const std::vector<size_t>& dims) { | ||
if (dims.size() < ndim) { | ||
std::ostringstream os; | ||
os << "Only '" << dims.size() << "' given but boost::multi_array is of size '" << ndim | ||
<< "'."; | ||
throw DataSpaceException(os.str()); | ||
} | ||
boost::array<typename type::index, Dims> ext; | ||
std::copy(dims.begin(), dims.begin() + ndim, ext.begin()); | ||
val.resize(ext); | ||
std::vector<size_t> next_dims(dims.begin() + Dims, dims.end()); | ||
std::size_t size = std::accumulate(dims.begin(), | ||
dims.begin() + Dims, | ||
std::size_t{1}, | ||
std::multiplies<size_t>()); | ||
for (size_t i = 0; i < size; ++i) { | ||
inspector<value_type>::prepare(*(val.origin() + i), next_dims); | ||
} | ||
} | ||
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static void assert_c_order(const type& val) { | ||
if (!(val.storage_order() == boost::c_storage_order())) { | ||
throw DataTypeException("Only C storage order is supported for 'boost::multi_array'."); | ||
} | ||
} | ||
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static hdf5_type* data(type& val) { | ||
assert_c_order(val); | ||
return inspector<value_type>::data(*val.data()); | ||
} | ||
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static const hdf5_type* data(const type& val) { | ||
assert_c_order(val); | ||
return inspector<value_type>::data(*val.data()); | ||
} | ||
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template <class It> | ||
static void serialize(const type& val, const std::vector<size_t>& dims, It m) { | ||
assert_c_order(val); | ||
size_t size = val.num_elements(); | ||
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.origin() + i), subdims, m + i * subsize); | ||
} | ||
} | ||
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template <class It> | ||
static void unserialize(It vec_align, const std::vector<size_t>& dims, type& val) { | ||
assert_c_order(val); | ||
std::vector<size_t> next_dims(dims.begin() + ndim, dims.end()); | ||
size_t subsize = compute_total_size(next_dims); | ||
for (size_t i = 0; i < val.num_elements(); ++i) { | ||
inspector<value_type>::unserialize(vec_align + i * subsize, | ||
next_dims, | ||
*(val.origin() + i)); | ||
} | ||
} | ||
}; | ||
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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; | ||
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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; | ||
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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; | ||
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static size_t getRank(const type& val) { | ||
return ndim + inspector<value_type>::getRank(val(0, 0)); | ||
} | ||
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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; | ||
} | ||
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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); | ||
} | ||
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static hdf5_type* data(type& val) { | ||
return inspector<value_type>::data(val(0, 0)); | ||
} | ||
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static const hdf5_type* data(const type& val) { | ||
return inspector<value_type>::data(val(0, 0)); | ||
} | ||
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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); | ||
} | ||
} | ||
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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)); | ||
} | ||
} | ||
}; | ||
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} // namespace details | ||
} // namespace HighFive | ||
#include "boost_ublas.hpp" | ||
#include "boost_multi_array.hpp" |
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Original file line number | Diff line number | Diff line change |
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@@ -0,0 +1,108 @@ | ||
#pragma once | ||
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#include "bits/H5Inspector_decl.hpp" | ||
#include "H5Exception.hpp" | ||
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#include <boost/multi_array.hpp> | ||
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namespace HighFive { | ||
namespace details { | ||
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template <typename T, size_t Dims> | ||
struct inspector<boost::multi_array<T, Dims>> { | ||
using type = boost::multi_array<T, Dims>; | ||
using value_type = T; | ||
using base_type = typename inspector<value_type>::base_type; | ||
using hdf5_type = typename inspector<value_type>::hdf5_type; | ||
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static constexpr size_t ndim = Dims; | ||
static constexpr size_t min_ndim = ndim + inspector<value_type>::min_ndim; | ||
static constexpr size_t max_ndim = ndim + inspector<value_type>::max_ndim; | ||
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static constexpr bool is_trivially_copyable = std::is_trivially_copyable<value_type>::value && | ||
inspector<value_type>::is_trivially_nestable; | ||
static constexpr bool is_trivially_nestable = false; | ||
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static size_t getRank(const type& val) { | ||
return ndim + inspector<value_type>::getRank(val.data()[0]); | ||
} | ||
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static std::vector<size_t> getDimensions(const type& val) { | ||
auto rank = getRank(val); | ||
std::vector<size_t> sizes(rank, 1ul); | ||
for (size_t i = 0; i < ndim; ++i) { | ||
sizes[i] = val.shape()[i]; | ||
} | ||
if (val.size() != 0) { | ||
auto s = inspector<value_type>::getDimensions(val.data()[0]); | ||
sizes.resize(ndim + s.size()); | ||
for (size_t i = 0; i < s.size(); ++i) { | ||
sizes[ndim + i] = s[i]; | ||
} | ||
} | ||
return sizes; | ||
} | ||
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static void prepare(type& val, const std::vector<size_t>& dims) { | ||
if (dims.size() < ndim) { | ||
std::ostringstream os; | ||
os << "Only '" << dims.size() << "' given but boost::multi_array is of size '" << ndim | ||
<< "'."; | ||
throw DataSpaceException(os.str()); | ||
} | ||
boost::array<typename type::index, Dims> ext; | ||
std::copy(dims.begin(), dims.begin() + ndim, ext.begin()); | ||
val.resize(ext); | ||
std::vector<size_t> next_dims(dims.begin() + Dims, dims.end()); | ||
std::size_t size = std::accumulate(dims.begin(), | ||
dims.begin() + Dims, | ||
std::size_t{1}, | ||
std::multiplies<size_t>()); | ||
for (size_t i = 0; i < size; ++i) { | ||
inspector<value_type>::prepare(*(val.origin() + i), next_dims); | ||
} | ||
} | ||
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static void assert_c_order(const type& val) { | ||
if (!(val.storage_order() == boost::c_storage_order())) { | ||
throw DataTypeException("Only C storage order is supported for 'boost::multi_array'."); | ||
} | ||
} | ||
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static hdf5_type* data(type& val) { | ||
assert_c_order(val); | ||
return inspector<value_type>::data(*val.data()); | ||
} | ||
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static const hdf5_type* data(const type& val) { | ||
assert_c_order(val); | ||
return inspector<value_type>::data(*val.data()); | ||
} | ||
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template <class It> | ||
static void serialize(const type& val, const std::vector<size_t>& dims, It m) { | ||
assert_c_order(val); | ||
size_t size = val.num_elements(); | ||
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.origin() + i), subdims, m + i * subsize); | ||
} | ||
} | ||
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template <class It> | ||
static void unserialize(It vec_align, const std::vector<size_t>& dims, type& val) { | ||
assert_c_order(val); | ||
std::vector<size_t> next_dims(dims.begin() + ndim, dims.end()); | ||
size_t subsize = compute_total_size(next_dims); | ||
for (size_t i = 0; i < val.num_elements(); ++i) { | ||
inspector<value_type>::unserialize(vec_align + i * subsize, | ||
next_dims, | ||
*(val.origin() + i)); | ||
} | ||
} | ||
}; | ||
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} // namespace details | ||
} // namespace HighFive |
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,79 @@ | ||
#pragma once | ||
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#include "bits/H5Inspector_decl.hpp" | ||
#include "H5Exception.hpp" | ||
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#include <boost/numeric/ublas/matrix.hpp> | ||
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namespace HighFive { | ||
namespace details { | ||
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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; | ||
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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; | ||
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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; | ||
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static size_t getRank(const type& val) { | ||
return ndim + inspector<value_type>::getRank(val(0, 0)); | ||
} | ||
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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; | ||
} | ||
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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); | ||
} | ||
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static hdf5_type* data(type& val) { | ||
return inspector<value_type>::data(val(0, 0)); | ||
} | ||
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static const hdf5_type* data(const type& val) { | ||
return inspector<value_type>::data(val(0, 0)); | ||
} | ||
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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); | ||
} | ||
} | ||
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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)); | ||
} | ||
} | ||
}; | ||
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} // namespace details | ||
} // namespace HighFive |
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