zarr 2.17.0+ds-2 source package in Ubuntu
Changelog
zarr (2.17.0+ds-2) unstable; urgency=medium
* debian/rules:
- Skip tests on s390x (see
https://github.com/zarr-developers/zarr-python/issues/1375).
-- Antonio Valentino <email address hidden> Sun, 03 Mar 2024 11:26:48 +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 | |
|---|---|---|---|---|
| Noble | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| zarr_2.17.0+ds-2.dsc | 2.6 KiB | 41a829ba9de6a6b952073da7b96caa3112329fee775bd779cd52438a9bf636a1 |
| zarr_2.17.0+ds.orig.tar.xz | 964.0 KiB | fe0510fe5a41dab25456a18442421026cc50762f6e410762efa90719d3ada77e |
| zarr_2.17.0+ds-2.debian.tar.xz | 5.3 KiB | b7f8a7863f7fa10b00a25a521e534855b815b4b25cea3a95fb199231f158ae37 |
Available diffs
- diff from 2.16.1+ds-2 to 2.17.0+ds-2 (38.3 KiB)
- diff from 2.17.0+ds-1 to 2.17.0+ds-2 (659 bytes)
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.
