zarr 2.15.0+ds-1 source package in Ubuntu
Changelog
zarr (2.15.0+ds-1) unstable; urgency=medium * New upstream release. -- Antonio Valentino <email address hidden> Sat, 17 Jun 2023 12:33:37 +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 |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| zarr_2.15.0+ds-1.dsc | 2.5 KiB | def76261e1ed013ea99350ea524ebcbebb404142adc81cd8ef38d4f95acb128b |
| zarr_2.15.0+ds.orig.tar.xz | 955.9 KiB | 4926d59909868a5373976be9ff038ae382bc1be77ba35bb82c42fa55080e6efe |
| zarr_2.15.0+ds-1.debian.tar.xz | 5.2 KiB | bd703c2a385e93156bf5fee143259f679a099df21c968a7cca7a493d4f0272f4 |
Available diffs
- diff from 2.14.2+ds-1 to 2.15.0+ds-1 (12.6 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.
