zarr 2.18.1+ds-1 source package in Ubuntu
Changelog
zarr (2.18.1+ds-1) unstable; urgency=medium * New upstream release. -- Antonio Valentino <email address hidden> Fri, 17 May 2024 05:49:08 +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 |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
zarr_2.18.1+ds-1.dsc | 2.6 KiB | b50febcff2f1caaf0f75691f6747b79c620dd7e3b4d2745651a59c443643b18d |
zarr_2.18.1+ds.orig.tar.xz | 960.6 KiB | 483428fff4eaff3944d4074f92f4dfcaba5fe32f81d21f7db2000e838a16a343 |
zarr_2.18.1+ds-1.debian.tar.xz | 5.5 KiB | bf361677e26debe3ebbd3d683d6b2ae44a2a0f3abaaddc1a4ba1978aca3f3906 |
Available diffs
- diff from 2.17.0+ds-2 to 2.18.1+ds-1 (34.6 KiB)
- diff from 2.18.0+ds-1 to 2.18.1+ds-1 (1.6 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.