feat: extend same-file VDS assembly to N dimensions

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Generalize Selection iteration from 1-D to arbitrary rank: iter_linear(dims)
enumerates a selection's row-major linear indices over a dataspace of the
given shape (ALL, NONE, regular hyperslabs, points), which is the order HDF5
uses to pair virtual and source selections.

read_virtual_data now passes the full virtual/source dimensions instead of a
single extent, so multi-dimensional block mappings scatter to the correct
non-contiguous linear positions. read_named_dataset_raw returns the source
dataset's dimensions. The rank-1 restriction is removed; only external-file
sources remain unsupported.

Tests: 2-D integration fixture (vds_2d_same_file.h5: two 2x2 sources placed
as non-contiguous blocks in a 4x4 virtual) plus N-D iter_linear unit tests
(block, strided, ALL, rank-mismatch). The 1-D path is unchanged.

Co-Authored-By: Claude Opus 4.8 <[email protected]>

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osobh

2026-06-03 20:57:12 +00:00

co-authored by Claude Opus 4.8

parent 908af40282

commit 98ccc69411

5 changed files with 168 additions and 51 deletions

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crates/clawhdf5-format/tests/fixtures/vds_2d_same_file.h5

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