osobhandClaude Opus 5.5
2d4b211523
ds[key] read the whole dataset and sliced it in numpy, and knew six dtypes. Keys (ints, positive-step slices, Ellipsis, one increasing index list, compound field names) now map onto hyperslab selections, and the facade's read_selection bytes become the numpy buffer without a copy (PyArray::from_vec viewed as the dtype). dtype mapping follows h5py for all integer/IEEE float widths and byte orders, bool, enum, complex, fixed and variable-length strings, vlen sequences, opaque, array types and (nested, padded) compounds; anything it cannot describe exactly is a TypeError. Attributes return what h5py returns; groups and files gain the rest of the h5py mapping interface. Reads run under py.detach. tests/test_read_vs_h5py.py compares >500 reads with h5py 3.16 on an h5py-written file, checks errors match, that a damaged chunk outside the selection is never touched, and 8 threads reading at once. Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
clawhdf5-py
Python bindings for clawhdf5 — a pure-Rust HDF5 library.
Features
- h5py-compatible API (
File,Group,Dataset) - NumPy array integration
- Read and write HDF5 files from Python with no C dependencies
Usage
import clawhdf5
with clawhdf5.File('data.h5', 'r') as f:
data = f['/dataset'][:]
License
MIT