zarr 2.13.3+ds-2 source package in Ubuntu
Changelog
zarr (2.13.3+ds-2) unstable; urgency=medium
* debian/rules:
- explicitly specify LC_ALL=C.UTF-8 LANGUAGE=C.UTF-8 before
building the sphinx documentatiion.
-- Antonio Valentino <email address hidden> Thu, 13 Oct 2022 06:54:18 +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_2.13.3+ds-2.dsc | 2.4 KiB | a1b09d916da63d14c2f9b6a51979726804c20f6751d2d87391b952b79ab2edc1 |
| zarr_2.13.3+ds.orig.tar.xz | 938.4 KiB | 23b3fcd777e989331c3349da249f6b55a13d61f89a0adeb5e1a2ac1fd692b223 |
| zarr_2.13.3+ds-2.debian.tar.xz | 5.1 KiB | 583ac6101e6a8d9deccde6e11e8322a5a48b738b299e4ec6d04b8ebab5f0f137 |
Available diffs
- diff from 2.10.3+ds-1 to 2.13.3+ds-2 (127.4 KiB)
- diff from 2.12.0+ds-1 to 2.13.3+ds-2 (35.1 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.
