zarr 2.6.1+ds-1 source package in Ubuntu
Changelog
zarr (2.6.1+ds-1) unstable; urgency=medium * New upstream release. * Standards-Version bumped to 4.5.1 (no changes). -- Antonio Valentino <email address hidden> Sat, 05 Dec 2020 17:43:32 +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_2.6.1+ds-1.dsc | 2.3 KiB | 952c505c8f4bb999e7045c28802f2bbda0d764f89298474a6b73f3b5448720a9 |
| zarr_2.6.1+ds.orig.tar.xz | 853.8 KiB | d20c0b48bc3dc39bc0f9036ed2b227080fa2df239ceec7b4c65efd200f1fc424 |
| zarr_2.6.1+ds-1.debian.tar.xz | 4.0 KiB | 9b66f48d2ee9a04426796e15e8744ec23c2e66aaec2a1450fc2690f71196143c |
Available diffs
- diff from 2.5.0+ds-1 to 2.6.1+ds-1 (9.9 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.
