tinyarray 1.2.3-4 source package in Ubuntu

Changelog

tinyarray (1.2.3-4) unstable; urgency=medium

  [ Stefano Rivera ]
  * Team upload.
  * Rename Vcs repository to match source package.
  * Patch: Python 3.10 support (the API for hashing doubles changed).
  * Bump Standards-Version to 4.6.0, no changes needed.
  * Bump watch file version to 4.

  [ Debian Janitor ]
  * Use secure URI in Homepage field.

 -- Stefano Rivera <email address hidden>  Mon, 22 Nov 2021 16:35:03 -0400

Upload details

Uploaded by:
Debian Python Team
Uploaded to:
Sid
Original maintainer:
Debian Python Team
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
tinyarray_1.2.3-4.dsc 1.5 KiB 9678d30ddc198f62067716ee5e8dea9f7d89c09f13ceb27b7a73c0cfcfac33b6
tinyarray_1.2.3.orig.tar.gz 36.1 KiB 47a06f801ed4b3d438f4f7098e244cd0c6d7db09428b1bc5ee813e52234dee9f
tinyarray_1.2.3-4.debian.tar.xz 8.5 KiB 465de9b7405be4dfc35ae4c94766007494c752a1391f29d6ab47a60548dce4ef

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Binary packages built by this source

python3-tinyarray: Arrays of numbers, optimized for small sizes

 Tinyarray is a numerical array module for Python. The multi-dimensional
 arrays it provides are best thought of as (possibly nested) tuples of numbers
 that, unlike Python's built-in tuples, support mathematical operations. Like
 tuples, tinyarrays are hashable and immutable and thus can be used as
 dictionary keys. The module's interface is a subset of that of NumPy and
 hence should be familiar to many Python programmers. Tinyarray has been
 heavily optimized for small arrays: For example, common operations on 1-d
 arrays of length 3 run 3-7 times faster than with NumPy. When storing many
 small arrays, memory consumption is reduced by a factor of 3. In summary,
 Tinyarray is a more efficient alternative to NumPy when many separate small
 numerical arrays are to be used.

python3-tinyarray-dbgsym: debug symbols for python3-tinyarray