osobhandClaude Opus 5.5
f0ecae38b6
Every ds[...] and g[k] resolved the path from the root again, two or three times per open, and resolving a name in a large group scans its links: visiting a group was O(n^2). 4000 scalar datasets in one group took 39 s (v1 group) and 131 s (dense) to list, read and re-read; now 0.3 s each. A Dataset keeps its object address, a Group (and the file's root) its address and, after the first lookup, its link table. New facade API File::dataset_at(address), tested in integration_tests. 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