zarr 2.16.0+ds-1 source package in Ubuntu
Changelog
zarr (2.16.0+ds-1) unstable; urgency=medium * New upstream release. -- Antonio Valentino <email address hidden> Sat, 22 Jul 2023 10:21:34 +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 | |
|---|---|---|---|---|
| Mantic | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| zarr_2.16.0+ds-1.dsc | 2.5 KiB | 6f6639caf105c0fba12de234d1b25173153f53f4ec2e156ba2bea659df29cdc9 |
| zarr_2.16.0+ds.orig.tar.xz | 957.4 KiB | 17f8c946285dbd7fa1253b463651ca5b58dd7d5fdc3f6651494a4d419eb21b72 |
| zarr_2.16.0+ds-1.debian.tar.xz | 5.3 KiB | dcd6153e8925901592ce75f77a882d5d4fcd7733efced8bc9269c1a12acbab5a |
Available diffs
- diff from 2.15.0+ds-2 to 2.16.0+ds-1 (142.7 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.
