osobhandClaude Opus 5.5 05b0192a60 fix(py): a 0-d integer array indexes like an int ...

ds[np.array(1)] went down the index-list path, where tolist() returns a
scalar and extracting a list of indices raised a confusing TypeError.
h5py treats it as an integer index; so do we now. The h5py comparison
keys include 0-d arrays (signed and unsigned) on each axis; they failed
before.

Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>

2026-09-26 09:02:28 -05:00

..

attrs.rs

perf(py): datasets and groups keep their address; groups their links

2026-09-26 09:01:54 -05:00

convert.rs

feat(py): h5py-style reads of only the selected elements, GIL released

2026-09-26 08:19:48 -05:00

dataset.rs

perf(py): datasets and groups keep their address; groups their links

2026-09-26 09:01:54 -05:00

file.rs

perf(py): datasets and groups keep their address; groups their links

2026-09-26 09:01:54 -05:00

group.rs

perf(py): datasets and groups keep their address; groups their links

2026-09-26 09:01:54 -05:00

lib.rs

fix(py): a panic in the library raises clawhdf5.InternalError, not PanicException

2026-09-26 08:52:55 -05:00

node.rs

perf(py): datasets and groups keep their address; groups their links

2026-09-26 09:01:54 -05:00

select.rs

fix(py): a 0-d integer array indexes like an int

2026-09-26 09:02:28 -05:00