- clippy --all-targets plus a clawhdf5-format feature matrix (parallel, lz4, zstd, pcodec, fast-checksum); fix the accumulated lint backlog in test, bench and feature-gated code (no behaviour changes). - Install python3 + h5py/numpy/netCDF4/xarray in the CI container and set CLAWHDF5_REQUIRE_INTEROP=1, which makes a missing interop dependency a test failure. Every h5py/netCDF4 interop test used to skip silently in CI. Run the #[ignore]d writer_h5py_tests suite explicitly. - cargo bench --no-run so benches can't rot; fix bench.rs and memory_bench.rs, which no longer compiled against the current strategy/consolidation APIs. - Optional fuzz smoke run via CLAWHDF5_FUZZ_SECONDS. - CHANGELOG and docs/known-issues.md updated. Co-Authored-By: Claude Fable 5.1 <[email protected]>
clawhdf5-format
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_stdsupport (disablestdfeature)- 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