zarr 2.4.0+ds-1 source package in Ubuntu

Changelog

zarr (2.4.0+ds-1) unstable; urgency=medium

  * New upstream release.
  * Fix project URL.
  * debian/control:
    - build depend on python3-sphinx-rtd-theme
  * debian/patches:
    - drop 0002-Use-mock-for-stdlib.patch, no longer necessary
    - refresh and renumber remaining patches
  * debian/python3-zarr.docs:
    - README.rst --> README.md

 -- Antonio Valentino <email address hidden>  Mon, 13 Jan 2020 21:15:15 +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 Pocket Published Component Section
Focal release universe misc

Builds

Focal: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
zarr_2.4.0+ds-1.dsc 2.2 KiB 3a72787e643eaf468248ad4cb1a69683e1f87d44b392829bb96c1a8e3dc0bb3a
zarr_2.4.0+ds.orig.tar.xz 847.0 KiB e494695516e1120e9540493ae68eab47dc9f8ff5529999ccb09a84f1e7d9c44c
zarr_2.4.0+ds-1.debian.tar.xz 4.3 KiB ca926944fdafd88f3a5d16600c1986375b95b3fd994fe90c9f81224aa19feb5b

Available diffs

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.