Release numerous ports to ports@ I've been retired for a few years, and it is unlikely I will be doing any more scientific computing support in the future. I have continued to maintain ~160 ports to the best of my ability, mainly as a favor to the community, but I can no longer justify the time and effort required. I am therefore releasing most of my scientific ports, along with a few others, to ports@. I will continue to maintain ports I am actively using and those for which I am upstream.2414383046
Port details
devel/py-cykhash2.0.1_1
Cython equivalent to khash-sets/maps
- Maintainer
- ports@FreeBSD.org
- Packages
- py312-cykhash 2.0.1_1
- Upstream
- up to date
- CPE
- none, CVEs only via VuXML
- WWW
- https://pypi.python.org/project/cykhash/
- Links
- cgit · VuXML
Unaddressed (0) · The CVE record lists this version as affected, no VuXML entry names the CVE
None. There is no CVE without a VuXML entry for this version.
VuXML only (0) · listed, port not fixed yet
None.
pkg audit reports nothing for this version.Fixed (0)
No VuXML entries for this package.
Commits (4)
python: bump all USE_PYTHON=distutils consumers after RUN_DEPENDS removal Any missed ports, feel free to bump. Any ports that need setuptools at runtime can have the devel/py-setuptools manually added back to RUN_DEPENDS, but understand that this practice is deprecated; see CHANGES for details.06a08e69f3
devel/py-cykhash: CHEESESHOP -> PYPI Updated port-create script to prevent a recurrence822fdafc3e
devel/py-cykhash: Cython equivalent to khash-sets/maps
Cykhash is a cython equivalent to khash-sets/maps, efficient
implementation of isin and unique
Benefits:
Brings functionality of khash to Python and Cython and can be used
seamlessly in numpy or pandas.
Numpy's world is lacking the concept of a (hash-)set. This
shortcoming is fixed and efficient (memory- and speedwise compared
to pandas') unique and isin are implemented.
Python-set/dict have big memory-footprint. For some datatypes the
overhead can be reduced by using khash by factor 4-8.21e0240b8f