osobhandClaude Opus 5.5
6559a91495
For a metadata cache image libhdf5 cannot load, libhdf5 opens the file and fails the first metadata read (the image loads on the first H5C_protect after open); h5py reports the error on the root group. The conformance probe reported it that way, but File::open refused the file, so the gate counted cve-2025-6269-1..4 and cve-2025-6516 as agreeing with h5py for behaviour the library did not have. The library now behaves as the probe reports: File (mmap, buffered and from_bytes) and MmapFile open the file and every object lookup (dataset, dataset_at, group, group listings and attributes, VL decoding) fails with the image's error; LazyFile reads the root group's header at open, so its open is that first read and fails. Probe and library take the three-way decision (refuse at open / image loads / image cannot load) from the same clawhdf5_format::superblock_ext::cache_image_state. One deliberate difference from libhdf5 remains, documented: after the failed first read libhdf5 reads the file's own metadata, which the image was meant to replace and may be stale; here every lookup keeps failing. File::cache_image_error / MmapFile::cache_image_error expose the error to code that parses as_bytes() itself; h5rs checks it before reading any object header (h5rs ls on cve-2025-6269-1 said "invalid object header version: 0" from the stale bytes). Test: metadata_cache_image.rs an_image_libhdf5_cannot_load_fails_every_object (the fixture with its image signature broken; h5py opens that file and fails the first read with "Bad metadata cache image header signature"). It fails on the previous commit, where File::open refuses the file. Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
clawhdf5
Pure-Rust HDF5 reader/writer — no C dependencies.
Features
- Read and write HDF5 files entirely in Rust
- Memory-mapped I/O for large files (
mmapfeature, enabled by default) - Parallel chunk reads via Rayon (
parallelfeature) - Lazy dataset access for minimal memory usage
- h5py-compatible file output
Usage
use clawhdf5::File;
let file = File::open("data.h5").unwrap();
let dataset = file.dataset("/group/data").unwrap();
let values: Vec<f64> = dataset.read_1d().unwrap();
License
MIT