random_operations_match_a_model (edit_interop) now drives, on every
libver (earliest, v114, latest) and filter set (none, gzip + shuffle +
fletcher32, LZF):
- a dataset with one unlimited dimension and one with two (a version-2
B-tree chunk index under v114/latest), resized to random shapes that
shrink and grow any resizable dimension, with block and point writes;
- attributes on the first dataset under 20 names with values of random
types and sizes (scalars, int64 arrays, short strings, strings above
the heap's managed limit), so they move to dense storage on version-2
headers and are replaced by values of other sizes;
against a model where shrunk-away elements that come back read as the
fill value, compared with our reader and with h5py/numpy every 40 steps,
with h5dump and h5rs check; h5py then grows both datasets and adds an
attribute. The attribute check also compares h5py's attribute count with
libhdf5's object info. CLAWHDF5_EDIT_SEED reruns the workloads with other
random choices (seeds 1000-4000 pass).
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
