zarr 2.14.2+ds-1 source package in Ubuntu
Changelog
zarr (2.14.2+ds-1) unstable; urgency=medium
* New upstream release.
* debian/control:
- add build dependency on sphinx-design and
pydata-sphinx-theme
- bump debhelper-compat to 13.
* Disable test_utf8_encoding. It requires external data
that are not available in the source package.
* Add d/python3-zarr.links and d/python3-zarr.lintian-overrides files.
-- Antonio Valentino <email address hidden> Sun, 11 Jun 2023 14:36:26 +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 |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| zarr_2.14.2+ds-1.dsc | 2.5 KiB | aea8de1e5aced0c2661ba8f6b19e632c46140fe5c103f489f75b07a0b65548c9 |
| zarr_2.14.2+ds.orig.tar.xz | 952.5 KiB | 56cce8f8b641159bc0a6601b0ab12dc25c453770f8208b978516a7d5b6dd0004 |
| zarr_2.14.2+ds-1.debian.tar.xz | 5.2 KiB | bfb18c238d9c029fe66ac23672d877b2925153c8e8aeafbda4662c58241fd590 |
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.
