zarr 2.15.0+ds-2 source package in Ubuntu
Changelog
zarr (2.15.0+ds-2) unstable; urgency=medium
* Skip broken test on big-endian architectures. See
https://github.com/zarr-developers/zarr-python/issues/1374
-- Antonio Valentino <email address hidden> Wed, 28 Jun 2023 06:16:14 +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-2.dsc | 2.5 KiB | 9e4bdb2ad8dc4b1e16f669fb345715803b0aaeb46af591289e4ea392297d734b |
| zarr_2.15.0+ds.orig.tar.xz | 955.9 KiB | 4926d59909868a5373976be9ff038ae382bc1be77ba35bb82c42fa55080e6efe |
| zarr_2.15.0+ds-2.debian.tar.xz | 5.3 KiB | 0aea724e00030198ed78f5766e5f505687c6eb232e320ad6157c9dcb36bd8d5a |
Available diffs
- diff from 2.13.6+ds-1 to 2.15.0+ds-2 (40.0 KiB)
- diff from 2.15.0+ds-1 to 2.15.0+ds-2 (638 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.
