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| author | Po-Chuan Hsieh <sunpoet@FreeBSD.org> | 2024-02-21 14:13:03 +0000 |
|---|---|---|
| committer | Po-Chuan Hsieh <sunpoet@FreeBSD.org> | 2024-02-21 15:06:07 +0000 |
| commit | eeb13706e36700007f3ad4740b7158e801197ba8 (patch) | |
| tree | 6437226fab95129ce0205ab0be0df48d2e1827f1 | |
| parent | 21b9950f5eb1eac3e6f5b01866ed970cf7492ba6 (diff) | |
| download | ports-eeb13706e36700007f3ad4740b7158e801197ba8.tar.gz ports-eeb13706e36700007f3ad4740b7158e801197ba8.zip | |
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.
| -rw-r--r-- | math/Makefile | 1 | ||||
| -rw-r--r-- | math/py-pyprobables/Makefile | 23 | ||||
| -rw-r--r-- | math/py-pyprobables/distinfo | 3 | ||||
| -rw-r--r-- | math/py-pyprobables/pkg-descr | 10 |
4 files changed, 37 insertions, 0 deletions
diff --git a/math/Makefile b/math/Makefile index c62c66cc61b2..22e036769902 100644 --- a/math/Makefile +++ b/math/Makefile @@ -1035,6 +1035,7 @@ SUBDIR += py-pynndescent SUBDIR += py-pyodeint SUBDIR += py-pyodesys + SUBDIR += py-pyprobables SUBDIR += py-pyreadr SUBDIR += py-pyrr SUBDIR += py-pysmt diff --git a/math/py-pyprobables/Makefile b/math/py-pyprobables/Makefile new file mode 100644 index 000000000000..17301a3275bf --- /dev/null +++ b/math/py-pyprobables/Makefile @@ -0,0 +1,23 @@ +PORTNAME= pyprobables +PORTVERSION= 0.6.0 +CATEGORIES= math python +MASTER_SITES= PYPI +PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} + +MAINTAINER= sunpoet@FreeBSD.org +COMMENT= Probabilistic data structures in python +WWW= https://pyprobables.readthedocs.io/en/latest/ \ + https://github.com/barrust/pyprobables + +LICENSE= MIT +LICENSE_FILE= ${WRKSRC}/LICENSE + +BUILD_DEPENDS= ${PYTHON_PKGNAMEPREFIX}setuptools>=61.2.0:devel/py-setuptools@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}wheel>=0:devel/py-wheel@${PY_FLAVOR} + +USES= python +USE_PYTHON= autoplist concurrent pep517 + +NO_ARCH= yes + +.include <bsd.port.mk> diff --git a/math/py-pyprobables/distinfo b/math/py-pyprobables/distinfo new file mode 100644 index 000000000000..18c54f3fad3c --- /dev/null +++ b/math/py-pyprobables/distinfo @@ -0,0 +1,3 @@ +TIMESTAMP = 1708448834 +SHA256 (pyprobables-0.6.0.tar.gz) = a4e72bdb4d3513121b33377728c9eafd2ae8495d5201d6a90abc3d52d9a17901 +SIZE (pyprobables-0.6.0.tar.gz) = 33638 diff --git a/math/py-pyprobables/pkg-descr b/math/py-pyprobables/pkg-descr new file mode 100644 index 000000000000..554724a7ab5d --- /dev/null +++ b/math/py-pyprobables/pkg-descr @@ -0,0 +1,10 @@ +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. |