python-lap 0.5.12-2build1 source package in Ubuntu
Changelog
python-lap (0.5.12-2build1) resolute; urgency=medium * No-change rebuild to drop Python 3.13 bits. -- Matthias Klose <email address hidden> Fri, 20 Mar 2026 11:32:33 +0100
Upload details
- Uploaded by:
- Matthias Klose
- Uploaded to:
- Resolute
- Original maintainer:
- Debian Python Team
- Architectures:
- any
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Resolute | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| python-lap_0.5.12.orig.tar.gz | 1.4 MiB | 608301ea8a45ed8fe50a63807f533a21096af620cc2475ee447c0e95ded8380c |
| python-lap_0.5.12-2build1.debian.tar.xz | 4.2 KiB | 87db40a069ba5525a98a36bfacba5c63be887dec1e18043307c5408a9989202a |
| python-lap_0.5.12-2build1.dsc | 2.2 KiB | b350cd2935c86444e5f6a76f08aa4c3e1d31e1f4e83c6a0bdf07bd02f0d9f759 |
Available diffs
- diff from 0.5.12-2 (in Debian) to 0.5.12-2build1 (323 bytes)
Binary packages built by this source
- python3-lap: Linear Assignment Problem solver (LAPJV/LAPMOD)
lap is a linear assignment problem solver using Jonker-Volgenant algorithm for
dense LAPJV¹ or sparse LAPMOD² matrices. Both algorithms are implemented from
scratch based solely on the papers and the public domain Pascal implementation
provided by A. Volgenant. The LAPMOD implementation seems to be faster than
the LAPJV implementation for matrices with a side of more than ~5000 and with
less than 50% finite coefficients.
- python3-lap-dbgsym: debug symbols for python3-lap
