Files

T

osobhandClaude Opus 5.5 c7092722aa fix(format): locate the address in version-1 shared messages

A version-1 shared message reference is version, type, six reserved bytes
and then an old-style symbol table entry: link-name offset (length size),
object header address, cache type, reserved, scratch. We read the address
straight after the reserved bytes, i.e. the link-name offset, and the
committed datatype lookup failed with InvalidObjectHeaderVersion (the bytes
checked in tcompound.h5: name offset 0x10, then 0x590 = /type1). Datasets
of 1.4/1.6-era files that use a committed datatype were unreadable.

Skip the name offset. parse_shared_ref has no length size, so add
parse_shared_ref_sized and use it in every internal caller;
parse_shared_ref keeps its signature and assumes length size == offset
size. The old parse_v1_ref unit test encoded the wrong layout and now uses
the real bytes.

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

2026-09-25 21:55:31 -05:00

benches

Merge pull request 'docs(clawhdf5): document DType variants, fix unresolved doc links' (#17 ) from sdlc-docs/clawhdf5-types-20260514-165210 into main

2026-05-14 23:54:48 +00:00

src

fix(format): resolve shared fill value messages instead of zero-filling

2026-09-25 21:18:12 -05:00

tests

fix(format): locate the address in version-1 shared messages

2026-09-25 21:55:31 -05:00

Cargo.toml

build: declare Rust 1.92 as the MSRV and check it in CI

2026-09-23 11:05:26 -05:00

README.md

docs: fix stale package names, counts, and CLI subcommands

2026-06-03 11:17:04 +00:00

README.md

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 (mmap feature, enabled by default)
Parallel chunk reads via Rayon (parallel feature)
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