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math/py-kiwisolver,
Fast implementation of the Cassowary constraint solver
Branch: CURRENT,
Version: 1.3.2nb1,
Package name: py310-kiwisolver-1.3.2nb1,
Maintainer: pkgsrc-usersKiwi is an efficient C++ implementation of the Cassowary constraint solving
algorithm. Kiwi is an implementation of the algorithm based on the seminal
Cassowary paper. It is not a refactoring of the original C++ solver. Kiwi has
been designed from the ground up to be lightweight and fast. Kiwi ranges from
10x to 500x faster than the original Cassowary solver will typical use cases
gaining a 40x improvement. Memory savings are consistently > 5x
Required to run:[
devel/py-setuptools] [
lang/python37]
Required to build:[
pkgtools/cwrappers]
Master sites:
Filesize: 53.331 KB
Version history: (Expand)
- (2023-02-09) Updated to version: py310-kiwisolver-1.3.2nb1
- (2022-01-05) Updated to version: py39-kiwisolver-1.3.2nb1
- (2021-10-11) Updated to version: py39-kiwisolver-1.3.2
- (2021-10-07) Updated to version: py39-kiwisolver-1.3.1
- (2021-05-05) Updated to version: py38-kiwisolver-1.3.1
- (2019-06-25) Updated to version: py37-kiwisolver-1.1.0
CVS history: (Expand)
2022-01-04 21:55:40 by Thomas Klausner | Files touched by this commit (1595) |
Log message:
*: bump PKGREVISION for egg.mk users
They now have a tool dependency on py-setuptools instead of a DEPENDS
|
2021-10-26 12:56:13 by Nia Alarie | Files touched by this commit (458) |
Log message:
math: Replace RMD160 checksums with BLAKE2s checksums
All checksums have been double-checked against existing RMD160 and
SHA512 hashes
|
2021-10-11 19:34:11 by Adam Ciarcinski | Files touched by this commit (2) |  |
Log message:
py-kiwisolver: updated to 1.3.2
Release 1.3.2
CI: fix building wheels on GHA
* ci: fix wheel build command
* ci: remove references to submodules
* ci: fix sdist command and remove Python 3.6 from the matrix
* ci: slightly alter invocation
* ci: disable emulation
* ci: smaller matrix
* ci: use a small matrix but with all python versions
* ci: use manylinux 2010 for CPython 3.9+
* ci: split again matrix per python version given how slow emulation is
Fix also the artifact upload
* ci: fix typo
* ci: typo
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2021-10-07 16:28:36 by Nia Alarie | Files touched by this commit (458) |
Log message:
math: Remove SHA1 hashes for distfiles
|
2021-05-05 11:33:02 by Adam Ciarcinski | Files touched by this commit (3) |  |
Log message:
py-kiwisolver: updated to 1.3.1
Wrappers 1.3.1 | Solver 1.3.1 | 11/01/2020
allow to avoid linking against VC2014_1 on windows
do not mark move constructor / assignment operator of expression as noexcept. \
This is to circumvent a suspected bug in the GCC compiler in the manylinux1 \
image.
Wrappers 1.3.0 | Solver 1.3.0 | 10/21/2020
add c++ benchmarks and run them on CIs
modernize the c++ code by using more c++11 features
introduce move semantic in some c++ constructors to improve performances
add support for Python 3.9
Wrappers 1.2.0 | Solver 1.2.0 | 03/26/2020
make the the c++ part of the code c++11 compliant
use cppy for Python/C bindings
|
2020-09-01 01:07:07 by Thomas Klausner | Files touched by this commit (62) |
Log message:
*: switch to versioned_dependencies.mk for py-setuptools
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2019-06-15 20:54:41 by Adam Ciarcinski | Files touched by this commit (2) |  |
Log message:
py-kiwisolver: updated to 1.1.0
Wrappers 1.1.0 | Solver 1.1.0
- prevent attempting a dual optimize on a dummy row
- add dump and dumps methods to inspect the internal state of the
solver
- test on Python 3.7
- improvemnts to setup.py and tests
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2018-04-14 13:35:24 by Adam Ciarcinski | Files touched by this commit (4) |
Log message:
py-kiwisolver: added version 1.0.1
Kiwi is an efficient C++ implementation of the Cassowary constraint solving
algorithm. Kiwi is an implementation of the algorithm based on the seminal
Cassowary paper. It is not a refactoring of the original C++ solver. Kiwi has
been designed from the ground up to be lightweight and fast. Kiwi ranges from
10x to 500x faster than the original Cassowary solver will typical use cases
gaining a 40x improvement. Memory savings are consistently > 5x
|