tinyarray 1.2.3-4build4 source package in Ubuntu
Changelog
tinyarray (1.2.3-4build4) noble; urgency=medium * No-change rebuild to build with python3.12 as supported. -- Matthias Klose <email address hidden> Thu, 02 Nov 2023 09:29:04 +0100
Upload details
- Uploaded by:
- Matthias Klose
- Uploaded to:
- Noble
- Original maintainer:
- Debian Python Team
- Architectures:
- any
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| tinyarray_1.2.3.orig.tar.gz | 36.1 KiB | 47a06f801ed4b3d438f4f7098e244cd0c6d7db09428b1bc5ee813e52234dee9f |
| tinyarray_1.2.3-4build4.debian.tar.xz | 8.7 KiB | 5ec55367b617618541fc1a1a79a4939116747765a25ccb48442579700a8269f6 |
| tinyarray_1.2.3-4build4.dsc | 2.1 KiB | f971a9cd1eaae90e7e69ccfaf59f71a36d36e9076b8b992b595428f3457c18c1 |
Available diffs
- diff from 1.2.3-4build3 to 1.2.3-4build4 (327 bytes)
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
