numba-stats provides numba-accelerated implementations of statistical functions
for common probability distributions.
* Uniform
* (Truncated) Normal
* Log-normal
* Poisson
* (Truncated) Exponential
* Student's t
* Voigtian
* Crystal Ball
* Generalised double-sided Crystal Ball
* Tsallis-Hagedorn, a model for the minimum bias pT distribution
* Q-Gaussian
* Bernstein density
* Cruijff density
NOTE: If this package has multiple flavors (see below), then use one of them instead of the name specified above. NOTE: This is a Python port. Instead of py312-numba-stats listed in the above command, you can pick from the names under the Packages section.
devel/py-setuptools-scm: update to 8.0.4
Directory and PORTNAME changed to match normalised name in release
tarball; consumers updated to match.
Although setuptools itself is specified as a run dependency in the
Python package metadata, it is currently left out here to prevent
environment pollution until at least PR 270510 is committed.
Additionally, this version of setuptools-scm requires setuptools>=61,
which means this version is only meant for USE_PYTHON=pep517 ports
as all USE_PYTHON=distutils ports will switch to devel/py-setuptools58
also after PR 270510. science/py-emmet-core is switched to
devel/py-setuptools_scm7 accordingly, as it specifies setuptools-scm<8.
devel/py-{flit-scm,hatch-vcs} have ${PY_SETUPTOOLS} added to
RUN_DEPENDS to compensate.
Further details: https://wiki.freebsd.org/Python/setuptools
Reported by: yuri
Co-authored by: matthew
Exp-run by: antoine (earlier iteration)
Approved by: yuri (science/py-emmet-core, previous iteration)
PR: 272134
Differential Revision: https://reviews.freebsd.org/D39288
devel/py-setuptools: convert individual consumers to ${PY_SETUPTOOLS}
Currently a no-op, but in the future outputs the correct setuptools
port depending on whether USES_PYTHON=distutils is specified.
With hat: python
PR: 270510, 270358
