zarr 2.17.0+ds-1 source package in Ubuntu
Changelog
zarr (2.17.0+ds-1) unstable; urgency=medium
* New upstream release.
* Update d/copyright.
* debian/control:
- Update dependencies: (add python3-sphinx-automodapi,
drop python3-sphinx-rtd-theme).
* debian/rules:
- Updaet the list of tests to skip.
-- Antonio Valentino <email address hidden> Sat, 17 Feb 2024 14:23:49 +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 |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| zarr_2.17.0+ds-1.dsc | 2.6 KiB | 0d57a55edb1b568a428909d5df84087767f9ca8362dc49cabc67b8e6bbb8ed47 |
| zarr_2.17.0+ds.orig.tar.xz | 964.0 KiB | fe0510fe5a41dab25456a18442421026cc50762f6e410762efa90719d3ada77e |
| zarr_2.17.0+ds-1.debian.tar.xz | 5.2 KiB | fd3a8c2628e163f9ecd4c3049202ec0af04861d97bbf6b9d2f4b93885d7dddc5 |
Available diffs
- diff from 2.16.1+ds-2 to 2.17.0+ds-1 (38.1 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.
