Their elements are global-heap IDs and object addresses in the source
file. The VDS reader copied them raw, so anything decoding them against
the virtual dataset's file got another object's data with no error.
Same-file sources are unaffected. Found by the adversarial review.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Unlimited VDS mappings were refused, and printf-style source names
("f-%b.h5") were not expanded, so those regions read as fill (read-matrix
case 0470: 29 of 30 values wrong). All 7 virtual datasets in the libhdf5
test set use such mappings.
Implement H5Dvirtual.c's semantics in the vds module:
- %b is the block number, %% a literal %, other specifiers are an error;
block j of the virtual selection comes from the source named with j,
probing from 0 to the first missing source (printf gap 0);
- unlimited source/virtual selections are clipped to what the source's
current extent fills (H5S_hyper_get_clip_extent_match, partial last
block included);
- the extent is recomputed as H5Dget_space does (view "last available":
the largest clip, never below what limited mappings need), exposed as
vds::virtual_dataset_extent and used by Dataset::shape();
- a source in the other byte order is byte-swapped; other conversions stay
an error.
Tests: vds_interop::vds_printf_source_names,
vds_unlimited_mappings_follow_source_extents (h5py low-level API, earliest
and latest format) and vds_libhdf5_test_files (vds-eiger, 4_vds and
vds-percival-unlim-maxmin from HDF5's tools/test/testfiles/vds, committed
as fixtures) all compare shape and values with h5py; unit tests for the
clip arithmetic, name parsing and mapping rules.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Elements of a virtual dataset that no mapping supplies (unmapped regions,
a missing source file, a missing source dataset) read as 0 instead of the
fill value libhdf5 returns — silent wrong data for any VDS created with a
non-zero fillvalue (read-matrix cases 0471/0472: -1 and 7 read as 0). A
missing source dataset was an error; libhdf5 reads it as fill.
Move VDS assembly into a new vds module following H5Dvirtual.c:
vds::read_virtual_dataset takes the dataset's fill value and a
VdsFileResolver that can refuse a name, and reports how many elements were
unmapped. Sources are read with their own fill value, and a source whose
datatype differs from the virtual dataset's is an error (libhdf5 converts).
File passes the dataset's fill value, resolves source names against the
virtual file's directory, and refuses names that leave it with an error
instead of reading them as fill. read_selection on a VDS goes through the
same fill-aware path.
The raw-read API (read_raw_data_full*) has no fill value, so it now errors
for a VDS with unmapped elements instead of guessing zeros.
Tests: vds_interop::vds_unmapped_regions_read_as_fill_value (external,
same-file, missing file/dataset, sparse source with its own fill, int
fill; earliest and latest format) and
vds_source_outside_directory_is_an_error_not_fill, both against h5py;
integration_test::v4_virtual_dataset_raw_api_refuses_to_guess_the_fill_value.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
