zarr 2.18.2+ds-2 source package in Ubuntu
Changelog
zarr (2.18.2+ds-2) unstable; urgency=medium
* New upstream release.
* debian/control:
- Add dependency on python3-gdbm.
-- Antonio Valentino <email address hidden> Tue, 28 May 2024 18:04:26 +0000
Upload details
- Uploaded by:
- Debian Science Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Science Team
- Architectures:
- all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Oracular | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| zarr_2.18.2+ds-2.dsc | 2.6 KiB | 610074937ea6b34728faeb950fb710617ee0f30cb0bf88457c96fbe9506feeb4 |
| zarr_2.18.2+ds.orig.tar.xz | 961.1 KiB | b6f788528a05b822d17a1092be1fad019c78d38c94c0ee37c1658c58d5ba2a76 |
| zarr_2.18.2+ds-2.debian.tar.xz | 5.5 KiB | b862db4798276ef219586104ac95d5eef7300e9a99479892224c897a71c351ae |
Available diffs
- diff from 2.18.1+ds-1 to 2.18.2+ds-2 (1.7 KiB)
No changes file available.
Binary packages built by this source
- python3-zarr: chunked, compressed, N-dimensional arrays for Python
Zarr is a Python package providing an implementation of compressed,
chunked, N-dimensional arrays, designed for use in parallel
computing. Some highlights:
.
- Create N-dimensional arrays with any NumPy dtype.
- Chunk arrays along any dimension.
- Compress chunks using the fast Blosc meta-compressor or
alternatively using zlib, BZ2 or LZMA.
- Store arrays in memory, on disk, inside a Zip file, on S3, ...
- Read an array concurrently from multiple threads or processes.
- Write to an array concurrently from multiple threads or processes.
- Organize arrays into hierarchies via groups.
- Use filters to preprocess data and improve compression.
