Files
clawhdf5/crates/clawhdf5-format
osobhandClaude Opus 5.5 5705866d40 format: equivalence harness for the Storage migration
tests/storage_equivalence.rs walks real files and runs every metadata
parser converted to Storage twice per object — over the file as a slice
and over a read_at-only CountingStorage — and requires identical results,
values and errors alike; the only allowed difference is the clean
ContiguousStorageRequired from the structures still indexed by a v2
B-tree (dense attributes, a SOHM B-tree index), which is counted. It
covers superblock and extension, cache image, SOHM table/list/B-tree,
object headers, attributes, fill values, shared messages, symbol-table
groups (local heap, B-tree, nodes, names), fractal heaps and their
objects, VDS mappings, and fixed/extensible array chunk indexes.

Inputs: every fixture; files h5py writes for what the fixtures lack
(extensible arrays with super blocks and paged data blocks, paged fixed
arrays, a 400-group v1 file with a user block, a 300-link dense group,
dense, shared and committed-type attributes, SOHM list and B-tree
indexes; honours CLAWHDF5_PYTHON / CLAWHDF5_REQUIRE_INTEROP); and, with
CLAWHDF5_STORAGE_CORPUS set, a corpus such as conformance/.cache/corpus.
Milestones M2/M3 add their parsers to check_object.

Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
2026-09-26 13:09:32 -05:00
..

clawhdf5-format

crates.io docs.rs

Pure-Rust HDF5 binary format parsing and writing — no C dependencies.

Features

  • Zero-copy superblock, object header, and B-tree parsing
  • Chunked dataset read/write with filter pipelines
  • no_std support (disable std feature)
  • Optional parallel reads via Rayon
  • SHA-256 provenance tracking

Usage

use clawhdf5_format::Superblock;

let data = std::fs::read("data.h5").unwrap();
let sb = Superblock::from_bytes(&data).unwrap();
println!("HDF5 version {}.{}", sb.version_major(), sb.version_minor());

License

MIT