GCC Code Coverage Report


Directory: gridformat/
File: gridformat/common/hdf5.hpp
Date: 2024-11-10 16:24:00
Exec Total Coverage
Lines: 251 282 89.0%
Functions: 213 328 64.9%
Branches: 538 3156 17.0%

Line Branch Exec Source
1 // SPDX-FileCopyrightText: 2022-2023 Dennis Gläser <dennis.glaeser@iws.uni-stuttgart.de>
2 // SPDX-License-Identifier: MIT
3 /*!
4 * \file
5 * \ingroup Common
6 * \brief Helpers for I/O from HDF5 files.
7 */
8 #ifndef GRIDFORMAT_COMMON_HDF5_HPP_
9 #define GRIDFORMAT_COMMON_HDF5_HPP_
10 #if GRIDFORMAT_HAVE_HIGH_FIVE
11
12 #include <type_traits>
13 #include <algorithm>
14 #include <concepts>
15 #include <ranges>
16 #include <cstdint>
17
18 #ifdef GRIDFORMAT_DISABLE_HIGHFIVE_WARNINGS
19 #pragma GCC diagnostic push
20 #pragma GCC diagnostic ignored "-Wold-style-cast"
21 #pragma GCC diagnostic ignored "-Wswitch-enum"
22 #pragma GCC diagnostic ignored "-Wuseless-cast"
23 #pragma GCC diagnostic ignored "-Wcast-qual"
24 #pragma GCC diagnostic ignored "-Wnull-dereference"
25 #pragma GCC diagnostic ignored "-Warray-bounds"
26 #pragma GCC diagnostic ignored "-Wstringop-overflow"
27 #endif // GRIDFORMAT_DISABLE_HIGHFIVE_WARNINGS
28
29 #include <highfive/H5Easy.hpp>
30 #include <highfive/H5File.hpp>
31
32 #ifdef GRIDFORMAT_DISABLE_HIGHFIVE_WARNINGS
33 #pragma GCC diagnostic pop
34 #endif // GRIDFORMAT_DISABLE_HIGHFIVE_WARNINGS
35
36 #include <gridformat/common/field.hpp>
37 #include <gridformat/common/logging.hpp>
38 #include <gridformat/common/concepts.hpp>
39 #include <gridformat/common/md_layout.hpp>
40 #include <gridformat/common/buffer_field.hpp>
41 #include <gridformat/common/precision.hpp>
42
43 #include <gridformat/parallel/communication.hpp>
44 #include <gridformat/grid/grid.hpp>
45
46
47 namespace GridFormat::HDF5 {
48
49 #ifndef DOXYGEN
50 namespace Detail {
51
52 2644 HighFive::DataTransferProps parallel_transfer_props() {
53 2644 HighFive::DataTransferProps xfer_props;
54 #if GRIDFORMAT_HAVE_PARALLEL_HIGH_FIVE
55
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2644 xfer_props.add(HighFive::UseCollectiveIO{});
56 #else
57 throw NotImplemented("Parallel HighFive required for parallel I/O");
58 #endif
59 2644 return xfer_props;
60 }
61
62 template<Concepts::Communicator Communicator>
63 354 auto parallel_file_access_props([[maybe_unused]] const Communicator& communicator) {
64 354 HighFive::FileAccessProps fapl;
65 #if GRIDFORMAT_HAVE_PARALLEL_HIGH_FIVE
66 if constexpr (!std::is_same_v<Communicator, NullCommunicator>) {
67
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354 fapl.add(HighFive::MPIOFileAccess{communicator, MPI_INFO_NULL});
68
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354 fapl.add(HighFive::MPIOCollectiveMetadata{});
69 } else {
70 throw TypeError("Cannot establish parallel I/O with null communicator");
71 }
72 #else
73 throw NotImplemented("Parallel HighFive required for parallel I/O");
74 #endif
75 354 return fapl;
76 }
77
78 2644 void check_successful_collective_io([[maybe_unused]] const HighFive::DataTransferProps& xfer_props) {
79 #if GRIDFORMAT_HAVE_PARALLEL_HIGH_FIVE
80
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2644 auto mnccp = HighFive::MpioNoCollectiveCause(xfer_props);
81
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2644 if (mnccp.getLocalCause() || mnccp.getGlobalCause())
82 log_warning(
83 std::string{"The operation was successful, but couldn't use collective MPI-IO. "}
84 + "Local cause: " + std::to_string(mnccp.getLocalCause()) + " "
85 + "Global cause:" + std::to_string(mnccp.getGlobalCause()) + "\n"
86 );
87 #else
88 throw NotImplemented("Parallel HighFive required for parallel I/O");
89 #endif
90 2644 }
91
92 42819 std::pair<std::string, std::string> split_group(const std::string& in) {
93
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42819 if (in.ends_with('/'))
94 return {in, ""};
95
96 42819 const auto split_pos = in.find_last_of("/");
97
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42819 if (split_pos == std::string::npos )
98 throw ValueError("Could not split name from given path: " + in);
99 return {
100
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86742 split_pos > 0 ? in.substr(0, split_pos) : "/",
101
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85638 in.substr(split_pos + 1)
102 42819 };
103 }
104
105 } // namespace Detail
106 #endif // DOXYGEN
107
108 //! Represents a dataset slice
109 struct Slice {
110 std::vector<std::size_t> offset;
111 std::vector<std::size_t> count;
112 std::optional<std::vector<std::size_t>> total_size = {};
113 };
114
115 //! Custom string data type using ascii encoding.
116 //! HighFive uses UTF-8, but VTKHDF, for instance, uses ascii.
117 struct AsciiString : public HighFive::DataType {
118 337 explicit AsciiString(std::size_t n) {
119
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337 _hid = H5Tcopy(H5T_C_S1);
120
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337 if (H5Tset_size(_hid, n) < 0) {
121 HighFive::HDF5ErrMapper::ToException<HighFive::DataTypeException>(
122 "Unable to define datatype size to " + std::to_string(n)
123 );
124 }
125 // define encoding to ASCII
126
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337 H5Tset_cset(_hid, H5T_CSET_ASCII);
127
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337 H5Tset_strpad(_hid, H5T_STR_SPACEPAD);
128 337 }
129
130 template<std::size_t N>
131 502 static AsciiString from(const char (&input)[N]) {
132
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502 if (input[N-1] == '\0')
133 502 return AsciiString{N-1};
134 return AsciiString{N};
135 }
136
137 static AsciiString from(const std::string& n) {
138 return AsciiString{n.size()};
139 }
140 };
141
142 /*!
143 * \ingroup Common
144 * \brief Helper class for I/O from HDF5 files.
145 * \note Currently, strings are ascii encoded, in contrast to the standard utf-8
146 * that HighFive uses. Once necessary, we'll make the encoding settable.
147 */
148 template<Concepts::Communicator Communicator = NullCommunicator>
149 class File {
150 public:
151 enum Mode {
152 overwrite, //!< remove all content before writing
153 append, //!< append given data to existing datasets
154 read_only //!< only read data
155 };
156
157 2 File(const std::string& filename, Mode mode = Mode::read_only)
158 requires(std::same_as<Communicator, NullCommunicator>)
159
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2 : File(filename, NullCommunicator{}, mode)
160 2 {}
161
162 599 File(const std::string& filename, const Communicator& comm, Mode mode = Mode::read_only)
163 354 : _comm{comm}
164 599 , _mode{mode}
165 599 , _file{_open(filename)}
166 599 {}
167
168 //! Clear the contents of the file with the given name
169 48 static void clear(const std::string& filename, const Communicator& comm) {
170
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48 if (Parallel::rank(comm) == 0) // clear file by open it in overwrite mode
171
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34 HighFive::File{filename, HighFive::File::Overwrite};
172 48 Parallel::barrier(comm);
173 48 }
174
175 //! Write the given values to the attribute with the given name into the given group
176 template<typename Values>
177 2308 void write_attribute(const Values& values, const std::string& path) {
178
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2308 _check_writable();
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2308 const auto [group, name] = Detail::split_group(path);
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2308 _clear_attribute(name, group);
181
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2308 _get_group(group).createAttribute(name, values);
182 2308 }
183
184 //! Write the given characters to the attribute with the given name into the given group
185 template<std::size_t N>
186 502 void write_attribute(const char (&values)[N], const std::string& path) {
187
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502 _check_writable();
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502 const auto [group, name] = Detail::split_group(path);
189
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502 _clear_attribute(name, group);
190
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1004 auto type_attr = _get_group(group).createAttribute(
191 name,
192
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1004 HighFive::DataSpace{1},
193
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1004 AsciiString::from(values)
194 );
195
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502 type_attr.write(values);
196 502 }
197
198 //! Write the given values into the dataset with the given path
199 template<std::ranges::range Values>
200 7768 void write(const Values& values,
201 const std::string& path,
202 const std::optional<Slice>& slice = {}) {
203
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7768 _check_writable();
204
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7768 const auto [group_name, ds_name] = Detail::split_group(path);
205
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7768 const auto space = slice ? HighFive::DataSpace{slice->total_size.value()}
206 : HighFive::DataSpace::From(values);
207
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7768 auto group = _get_group(group_name);
208
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7768 auto [offset, dataset] = _prepare_dataset<FieldScalar<Values>>(group, ds_name, space);
209
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14168 Slice _slice{
210
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21936 .offset = slice ? slice->offset : std::vector<std::size_t>(space.getNumberDimensions(), 0),
211
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7768 .count = slice ? slice->count : space.getDimensions()
212 };
213
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7768 _slice.offset.at(0) += offset;
214
215
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7768 if (Parallel::size(_comm) > 1) {
216
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4612 if (slice) { // collective I/O
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1368 const auto props = Detail::parallel_transfer_props();
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1368 _write_to(dataset, values, _slice, props);
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1368 Detail::check_successful_collective_io(props);
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4612 } else if (Parallel::rank(_comm) == 0) { // write only on rank 0 to avoid clashes
221
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1622 _write_to(dataset, values, _slice);
222 }
223 } else {
224
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3156 _write_to(dataset, values, _slice);
225 }
226
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7768 _file.flush();
227 7768 }
228
229 //! Write a field into the dataset with the given path
230 3359 void write(const Field& field,
231 const std::string& path,
232 const std::optional<Slice>& slice = {}) {
233
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3359 _check_writable();
234
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3359 const auto layout = field.layout();
235
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3359 const HighFive::DataSpace space{[&] () {
236
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3359 if (slice)
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2424 return slice->total_size.value();
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935 std::vector<std::size_t> dims(layout.dimension());
239
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935 layout.export_to(dims);
240 935 return dims;
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7653 } ()};
242
243
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3359 const auto [group_name, ds_name] = Detail::split_group(path);
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3359 auto group = _get_group(group_name);
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10077 field.precision().visit([&] <typename T> (const Precision<T>&) {
246
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3359 auto [offset, dataset] = _prepare_dataset<T>(group, ds_name, space);
247
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4294 Slice _slice{
248
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7653 .offset = slice ? slice->offset : std::vector<std::size_t>(space.getNumberDimensions(), 0),
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3359 .count = slice ? slice->count : space.getDimensions()
250 };
251
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3359 _slice.offset.at(0) += offset;
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3359 const auto serialization = field.serialized();
254
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3359 const std::span<const T> span = serialization.template as_span_of<T>();
255
256
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3359 if (Parallel::size(_comm) > 1) {
257
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2098 if (slice) { // collective I/O
258
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1960 const auto props = Detail::parallel_transfer_props();
259
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1960 _write_to(dataset, span.data(), _slice, props);
260
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1960 Detail::check_successful_collective_io(props);
261
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2098 } else if (Parallel::rank(_comm) == 0) { // write only on rank 0 to avoid clashes
262
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63 _write_to(dataset, span.data(), _slice);
263 }
264 } else {
265
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1261 _write_to(dataset, span.data(), _slice);
266 }
267
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3359 _file.flush();
268 3359 });
269 3359 }
270
271 //! Read dataset values into an instance of the given T
272 template<typename T>
273 requires(Concepts::ResizableMDRange<T> or Concepts::Scalar<T>)
274 13170 T read_dataset_to(const std::string& path,
275 const std::optional<Slice>& slice = {}) const {
276
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26209 return visit_dataset(path, [&] <typename F> (BufferField<F>&& field) {
277 6601 return field.template export_to<T>();
278
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26340 }, slice);
279 }
280
281 //! Visit the dataset field
282 template<std::invocable<BufferField<int>&&> Visitor>
283 17200 decltype(auto) visit_dataset(const std::string& path,
284 Visitor&& visitor,
285 const std::optional<Slice>& slice = {}) const {
286
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17200 if (!has_dataset_at(path))
287 throw ValueError("Given data set '" + path + "' does not exist.");
288
289
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17200 auto [group, name] = Detail::split_group(path);
290
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17200 if (slice)
291
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6406 return _visit_data(
292 std::forward<Visitor>(visitor),
293
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28128 _file.getGroup(group).getDataSet(name).select(slice->offset, slice->count)
294
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14064 );
295
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3136 return _visit_data(std::forward<Visitor>(visitor), _file.getGroup(group).getDataSet(name));
296 17200 }
297
298 //! Read attribute values into an instance of the given T
299 template<typename T>
300 requires(Concepts::ResizableMDRange<T> or Concepts::Scalar<T>)
301 464 T read_attribute_to(const std::string& path) const {
302 696 return visit_attribute(path, [&] <typename F> (BufferField<F>&& field) {
303 232 return field.template export_to<T>();
304
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928 });
305 }
306
307 //! Visit the attribute field
308 template<std::invocable<BufferField<int>&&> Visitor>
309 680 decltype(auto) visit_attribute(const std::string& path, Visitor&& visitor) const {
310
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680 if (!has_attribute_at(path))
311 throw ValueError("Given attribute '" + path + "' does not exist.");
312
313
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680 auto [group, name] = Detail::split_group(path);
314
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1360 return _visit_data(std::forward<Visitor>(visitor), _file.getGroup(group).getAttribute(name));
315 680 }
316
317 //! Get the dimensions of a dataset; returns null optional if it doesn't exist.
318 8344 std::optional<std::vector<std::size_t>> get_dimensions(const std::string& path) const {
319
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8344 if (has_dataset_at(path)) {
320
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7556 const auto [group, name] = Detail::split_group(path);
321
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7556 return _file.getGroup(group).getDataSet(name).getDimensions();
322 7556 }
323 788 return {};
324 }
325
326 //! Get the precision of a dataset; returns null optional if it doesn't exist.
327 4379 std::optional<DynamicPrecision> get_precision(const std::string& path) const {
328
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4379 if (has_dataset_at(path)) {
329
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4379 const auto [group, name] = Detail::split_group(path);
330
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4379 return _to_precision(_file.getGroup(group).getDataSet(name).getDataType());
331 4379 }
332 return {};
333 }
334
335 //! Return the names of all datasets in the given group
336 332 std::ranges::range auto dataset_names_in(const std::string& group) const {
337
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664 return _file.getGroup(group).listObjectNames()
338
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1298 | std::views::filter([&, group=group] (const auto& name) {
339
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990 return _file.getGroup(group).getObjectType(name) == HighFive::ObjectType::Dataset;
340
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664 });
341 }
342
343 //! Return true if the given path exists in the file
344 3218 bool exists(const std::string& path) const {
345 3218 return _file.exist(path);
346 }
347
348 //! Return true if a dataset exists at the given path
349 27768 bool has_dataset_at(const std::string& path) const {
350
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27768 if (_file.exist(path)) {
351
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26980 const auto [group, name] = Detail::split_group(path);
352
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26980 if (_file.getGroup(group).exist(name))
353
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26980 return _file.getGroup(group).getObjectType(name) == HighFive::ObjectType::Dataset;
354
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26980 }
355 788 return false;
356 }
357
358 //! Return true if an attribute exists at the given path
359 939 bool has_attribute_at(const std::string& path) const {
360
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939 const auto [parent_path, attr_name] = Detail::split_group(path);
361
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939 if (_file.exist(parent_path)) {
362
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939 if (has_dataset_at(parent_path)) {
363 const auto [group, dataset] = Detail::split_group(parent_path);
364 return _file.getGroup(group).getDataSet(dataset).hasAttribute(attr_name);
365 } else {
366
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939 return _file.getGroup(parent_path).hasAttribute(attr_name);
367 }
368 }
369 return false;
370 939 }
371
372 private:
373 8741 void _check_writable() const {
374
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8741 if (_mode == read_only)
375 throw InvalidState("Cannot modify hdf-file opened in read-only mode");
376 8741 }
377
378 599 HighFive::File _open(const std::string& filename) const {
379
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1012 auto open_mode = _mode == read_only ? HighFive::File::ReadOnly
380
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413 : (_mode == overwrite ? HighFive::File::Overwrite
381 : HighFive::File::ReadWrite);
382
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599 if (Parallel::size(_comm) > 1)
383
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708 return HighFive::File{filename, open_mode, Detail::parallel_file_access_props(_comm)};
384 else
385 245 return HighFive::File{filename, open_mode};
386 }
387
388 template<typename T>
389 14486 auto _prepare_dataset(HighFive::Group& group,
390 const std::string& name,
391 const HighFive::DataSpace& space) {
392
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14486 if (_mode == overwrite)
393
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2670 return std::make_pair(std::size_t{0}, group.createDataSet(name, space, HighFive::create_datatype<T>()));
394
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11816 else if (_mode == append) {
395
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11816 if (group.exist(name)) {
396
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9056 auto dataset = group.getDataSet(name);
397
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9056 auto out_dimensions = dataset.getDimensions();
398
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9056 const auto in_dimensions = space.getDimensions();
399
400
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9056 if (out_dimensions.size() < 1 || in_dimensions.size() < 1)
401 throw ValueError("Cannot extend scalar datasets");
402 9056 if (
403
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9056 !std::ranges::equal(
404 9056 std::ranges::subrange(out_dimensions.begin() + 1, out_dimensions.end()),
405
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18112 std::ranges::subrange(in_dimensions.begin() + 1, in_dimensions.end())
406 )
407 )
408 throw ValueError("Dataset extension requires the sub-dimensions to be equal");
409
410 9056 const std::size_t offset = out_dimensions[0];
411 9056 out_dimensions[0] += in_dimensions[0];
412
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9056 dataset.resize(out_dimensions);
413 9056 return std::make_pair(offset, std::move(dataset));
414 9056 } else {
415
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2760 const auto init_dimensions = space.getDimensions();
416
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2760 if (init_dimensions.size() < 1)
417 throw ValueError("Scalars cannot be written in appended mode. Wrap them in std::array{scalar}");
418
419
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5520 const auto chunk_dimensions = std::vector<hsize_t>{init_dimensions.begin(), init_dimensions.end()};
420
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4140 const auto max_dimensions = [&] () {
421 1380 auto tmp = init_dimensions;
422 1380 tmp[0] *= HighFive::DataSpace::UNLIMITED;
423 1380 return tmp;
424 } ();
425
426
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2760 HighFive::DataSpace out_space(init_dimensions, max_dimensions);
427 2760 HighFive::DataSetCreateProps props;
428
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2760 props.add(HighFive::Chunking(chunk_dimensions));
429 return std::make_pair(
430 5520 std::size_t{0},
431
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5520 group.createDataSet(name, out_space, HighFive::create_datatype<T>(), props)
432 2760 );
433 2760 }
434 } else {
435 throw NotImplemented("Unknown file mode");
436 }
437 }
438
439 template<typename Values>
440 6146 void _write_to(HighFive::DataSet& dataset,
441 const Values& values,
442 const Slice& slice,
443 const std::optional<HighFive::DataTransferProps> props = {}) {
444
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12292 props ? dataset.select(slice.offset, slice.count).write(values, *props)
445
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6146 : dataset.select(slice.offset, slice.count).write(values);
446 6146 }
447
448 template<Concepts::Scalar T>
449 6568 void _write_to(HighFive::DataSet& dataset,
450 const T* buffer,
451 const Slice& slice,
452 const std::optional<HighFive::DataTransferProps> props = {}) {
453
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13136 props ? dataset.select(slice.offset, slice.count).write_raw(buffer, dataset.getDataType(), *props)
454
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6568 : dataset.select(slice.offset, slice.count).write_raw(buffer, dataset.getDataType());
455 6568 }
456
457 template<typename Visitor, typename Source>
458 17912 decltype(auto) _visit_data(Visitor&& visitor, const Source& source) const {
459
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17912 const auto datatype = source.getDataType();
460
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17912 if (datatype.isFixedLenStr()) {
461 static constexpr std::size_t N = 100;
462 224 HighFive::FixedLenStringArray<N> pre_out;
463
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224 source.read(pre_out);
464
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224 if (pre_out.size() > 1)
465 throw SizeError("Unexpected string array size");
466
467 224 std::string out;
468
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448 std::ranges::copy(
469
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2030 pre_out.getString(0) | std::views::take_while([] (const char c) { return c != '\0'; }),
470 std::back_inserter(out)
471 );
472
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224 MDLayout layout{{out.size()}};
473
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224 return visitor(BufferField{std::move(out), std::move(layout)});
474 224 } else {
475
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44004 return _to_precision(datatype).visit([&] <typename T> (const Precision<T>&) {
476
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14361 return visitor(_read_buffer_field<T>(source));
477
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17688 });
478 }
479 17912 }
480
481 18844 DynamicPrecision _to_precision(const HighFive::DataType& datatype) const {
482
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18844 if (datatype.getClass() == HighFive::DataTypeClass::Float && datatype.getSize() == 8)
483 4287 return float64;
484
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14557 else if (datatype.getClass() == HighFive::DataTypeClass::Float && datatype.getSize() == 4)
485 3396 return float32;
486
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11161 else if (datatype.getClass() == HighFive::DataTypeClass::Integer && datatype.getSize() == 1)
487 647 return int8;
488
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10514 else if (datatype.getClass() == HighFive::DataTypeClass::Integer && datatype.getSize() == 2)
489 return int16;
490
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10514 else if (datatype.getClass() == HighFive::DataTypeClass::Integer && datatype.getSize() == 4)
491 2853 return int32;
492
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7661 else if (datatype.getClass() == HighFive::DataTypeClass::Integer && datatype.getSize() == 8)
493 7661 return int64;
494 else if (datatype.isVariableStr())
495 return Precision<char>{};
496 else if (datatype.isFixedLenStr())
497 return Precision<char>{};
498 throw NotImplemented("Could not determine data set precision");
499 }
500
501 template<typename T, typename Source>
502 17688 auto _read_buffer_field(const Source& source) const {
503
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17688 auto dims = source.getMemSpace().getDimensions();
504
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17688 MDLayout layout = dims.empty() ? MDLayout{{1}} : MDLayout{std::move(dims)};
505
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17688 std::vector<T> out(layout.number_of_entries());
506
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17688 source.read(out.data());
507
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35376 return BufferField(std::move(out), std::move(layout));
508 17688 }
509
510 10899 HighFive::Group _get_group(const std::string& group_name) {
511
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10899 return _file.exist(group_name) ? _file.getGroup(group_name) : _file.createGroup(group_name);
512 }
513
514 1498 void _clear_attribute(const std::string& name, const std::string& group) {
515
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1498 if (_get_group(group).hasAttribute(name))
516
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660 _get_group(group).deleteAttribute(name);
517 1498 }
518
519 Communicator _comm;
520 Mode _mode;
521 HighFive::File _file;
522 };
523
524 } // namespace GridFormat::HDF5
525
526 #endif // GRIDFORMAT_HAVE_HIGH_FIVE
527 #endif // GRIDFORMAT_COMMON_HDF5_HPP_
528