zarr 2.16.1+ds-2 source package in Ubuntu
Changelog
zarr (2.16.1+ds-2) unstable; urgency=medium
* debian/rules:
- Temparaty disable tests that are broken on BE
architectures.
-- Antonio Valentino <email address hidden> Thu, 31 Aug 2023 07:50:31 +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_2.16.1+ds-2.dsc | 2.6 KiB | 0cc8904d72cbd7379e3e0961994314775c322b07db5727ac990744b54e9ba2c0 |
| zarr_2.16.1+ds.orig.tar.xz | 957.0 KiB | 40d737538f258d13ee23ecb7cffdfd6aa93d4f496a7ef274396f29d165a1004e |
| zarr_2.16.1+ds-2.debian.tar.xz | 5.2 KiB | 6ed5390f9783b6e2453e0b9dc52739a07aaad13113ce527cce9700157904626f |
Available diffs
- diff from 2.16.0+ds-1 to 2.16.1+ds-2 (6.5 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.
