Releases: HDFGroup/h5pyd
v0.19.0
Features:
- Added devcontainer files for running h5pyd (with it's own HSDS) in Github codespaces
- Several new examples
- Numpy 2.0 support
- Added --h5image option to hsload to load HDF5 files as one dataset
- Enable Fancy selection with multiple coordinates
- Added SWMR compatibility
- Added support for multi-dimensional hyperchunks
- Added MultiManager class (for parallel dataset read/writes
- Added --names option for hsls
Fixes:
- hsload fix for HDF5 files with large contiguous datasets
- enable anonymous groups
- Fix for using hsload with fastlink and linkpath options
- Fix for array types
v0.18.0 release
This release adds a command line option (-g or —group) to display just objects under the given group.
v0.17.0
Feature: hsload now will import any custom filters defined on a HDF5 dataset to the filter pipeline for the HSDS dataset.
If the filter is supported in HSDS (e.g. bitshuffle, blosclz, lz4, lz4hc, zlib, zstd as of HSDS v 0.8.5), the filter will be invoked on reads and writes to the dataset, otherwise it will be ignored.
v0.16.0
v0.14.1
v0.14.0
v0.13.0
v0.12.0
Added aggregation options (-a, --extend, --extend-offset) for hsload. Run hsload -h for usage (see #120)
dataset.chunks will always return None or tuple (see #130)
fix for FLETCHER32 filter (see #128)
fix for compound types with one field (see #127)
fix for hsload on empty dataset (see #116)
hsload will exit on first failure unless --ignore flag is used (see #111)
v 0.8.4
Release v 0.8.2
Add retries for POST requests (in addition to GET/PUT/DELETE).
New tests for app programs.