zarr 2.10.3+ds-1 source package in Ubuntu
Changelog
zarr (2.10.3+ds-1) unstable; urgency=medium * New usptream version. * De-enable previously disabled tests in debian/rules. * Update copyright file. -- Antonio Valentino <email address hidden> Sat, 27 Nov 2021 11:30:37 +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 | |
|---|---|---|---|---|
| Kinetic | release | universe | misc | |
| Jammy | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| zarr_2.10.3+ds-1.dsc | 2.3 KiB | ca68f83569b06e832f3dddc8f93bb4dbaf90b12de90c7f3b8d8cfbe2faf3b802 |
| zarr_2.10.3+ds.orig.tar.xz | 865.6 KiB | 5c1118971661d354d1a956b5a191739a369b5c142ff7c1ae541c7cfdd44bfaac |
| zarr_2.10.3+ds-1.debian.tar.xz | 4.4 KiB | f1955e7b433641d6e56478a84115e9182f439cd0419a53012994256fa3b02220 |
Available diffs
- diff from 2.10.2+ds-2 to 2.10.3+ds-1 (3.7 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.
