math/py-pyprobables: Update to 0.7.0 Changes: https://github.com/barrust/pyprobables/releases187e76ccb3
Port details
math/py-pyprobables 0.7.0
Probabilistic data structures in python
Port info
- Maintainer
- sunpoet@FreeBSD.org
- Packages
- latest: 0.7.0
- Upstream
- up to date
- Last update
- to 0.7.0 · 187e76ccb3
- Quarterly
- 2026Q4: 0.7.0
- WWW
- https://pyprobables.readthedocs.io/en/latest/
- Links
- cgit · VuXML
Install
- Package
# pkg install py312-pyprobablesinstalls 0.7.0 fromlatest; fromquarterly(2026Q4) 0.7.0- Port
# cd /usr/ports/math/py-pyprobables && make install clean- Size
- 85 KiB download · 571 KiB installed
- Depends on
- lang/python312 3.12.15
- License
- MIT
Packages by version and architecture
latest
| FreeBSD version | amd64 | aarch64 | i386 |
|---|---|---|---|
| FreeBSD 16 | 0.7.0 | 0.7.0 | – |
| FreeBSD 15 | 0.7.0 | 0.7.0 | – |
| FreeBSD 14 | 0.7.0 | 0.7.0 | 0.7.0 |
quarterly (2026Q4)
| FreeBSD version | amd64 | aarch64 | i386 |
|---|---|---|---|
| FreeBSD 15 | 0.7.0 | 0.7.0 | – |
| FreeBSD 14 | 0.7.0 | 0.7.0 | 0.7.0 |
version as in the ports tree (latest) or the most common one (quarterly) · different version · ✗ not built · – no packages for this platform. Package sets that have not been rebuilt for 60 days are left out.
Unaddressed and VuXML only (0)
No unaddressed CVE and nothing reported by
pkg audit for the packaged version 0.7.0.Fixed (0)
No VuXML entries for this package.
Problem reports (0) · open in Bugzilla, most recently changed first
None.
Commits (4)
math/py-pyprobables: Update to 0.6.2 Changes: https://github.com/barrust/pyprobables/releases9749000720
math/py-pyprobables: Update to 0.6.1 Changes: https://github.com/barrust/pyprobables/releasesd4c4e73c76
math/py-pyprobables: Add py-pyprobables 0.6.0 pyprobables is a pure-python library for probabilistic data structures. The goal is to provide the developer with a pure-python implementation of common probabilistic data-structures to use in their work. To achieve better raw performance, it is recommended supplying an alternative hashing algorithm that has been compiled in C. This could include using the MD5 and SHA512 algorithms provided or installing a third party package and writing your own hashing strategy. Some options include the murmur hash mmh3 or those from the pyhash library. Each data object in pyprobables makes it easy to pass in a custom hashing function.eeb13706e3