CVE and update status of the FreeBSD ports tree4,826 unaddressed CVEs in 618 portsAll times are CET

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)

Jason W. Bacon (jwb) · 2.0.1_1
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
Charlie Li (vishwin) · 2.0.1_1
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
Jason W. Bacon (jwb) · 2.0.1
devel/py-cykhash: CHEESESHOP -> PYPI

Updated port-create script to prevent a recurrence
822fdafc3e
Jason W. Bacon (jwb) · 2.0.1
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