zarr 2.3.2+ds-2 source package in Ubuntu
Changelog
zarr (2.3.2+ds-2) unstable; urgency=medium * Team upload. * Source-only upload -- Anton Gladky <email address hidden> Sun, 05 Jan 2020 10:49:26 +0100
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_2.3.2+ds-2.dsc | 2.2 KiB | 684f282809322d477ff2330833646d63fb2bcac0a24ce64c4aed3fcd80be16b0 |
zarr_2.3.2+ds.orig.tar.xz | 833.3 KiB | 6d72d49db9f12d33c915a98fa4e39c952abd38f2629bfb4f9a64dd0b5a2b3ec9 |
zarr_2.3.2+ds-2.debian.tar.xz | 4.3 KiB | 17ea25536085cc577a75bbd73d133e5bbf8747155fab9a78f7237eefab9ee301 |
Available diffs
- diff from 2.3.2+ds-1 to 2.3.2+ds-2 (308 bytes)
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.