diff --git a/www/py-arxiv/Makefile b/www/py-arxiv/Makefile index 5c1a2c3c46a8..64afefae1412 100644 --- a/www/py-arxiv/Makefile +++ b/www/py-arxiv/Makefile @@ -1,24 +1,24 @@ # Created by: Po-Chuan Hsieh PORTNAME= arxiv -PORTVERSION= 0.5.3 +PORTVERSION= 0.5.4 CATEGORIES= www python MASTER_SITES= CHEESESHOP PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} MAINTAINER= sunpoet@FreeBSD.org COMMENT= Python wrapper for the arXiv API LICENSE= MIT RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}feedparser>=0:textproc/py-feedparser@${PY_FLAVOR} \ ${PYTHON_PKGNAMEPREFIX}requests>=0:www/py-requests@${PY_FLAVOR} TEST_DEPENDS= ${PYTHON_PKGNAMEPREFIX}numpy>=0,1:math/py-numpy@${PY_FLAVOR} \ ${PYTHON_PKGNAMEPREFIX}pytest>=0:devel/py-pytest@${PY_FLAVOR} USES= python:3.6+ USE_PYTHON= autoplist concurrent distutils NO_ARCH= yes .include diff --git a/www/py-arxiv/distinfo b/www/py-arxiv/distinfo index a491dc7f6eb8..e4a42e103870 100644 --- a/www/py-arxiv/distinfo +++ b/www/py-arxiv/distinfo @@ -1,3 +1,3 @@ -TIMESTAMP = 1582561424 -SHA256 (arxiv-0.5.3.tar.gz) = 9010cf132bcfb67c07bd363c49d519365310f92ac9da1a06509f712798265987 -SIZE (arxiv-0.5.3.tar.gz) = 6013 +TIMESTAMP = 1618320286 +SHA256 (arxiv-0.5.4.tar.gz) = af3eca0ab9f6ecfd567cc1bd25d382e03c1e8518f05719dd0789e4d3745ba7d4 +SIZE (arxiv-0.5.4.tar.gz) = 6076 diff --git a/www/py-arxiv/pkg-descr b/www/py-arxiv/pkg-descr index a1147eeafcdc..69a4b0abcd48 100644 --- a/www/py-arxiv/pkg-descr +++ b/www/py-arxiv/pkg-descr @@ -1,16 +1,15 @@ arxiv.py is a Python wrapper for the arXiv API (http://arxiv.org/help/api/index). arXiv is a project by the Cornell University Library that provides open access to 1,000,000+ articles in Physics, Mathematics, Computer Science, Quantitative Biology, Quantitative Finance, and Statistics. They have an API that uses ATOM feeds to serve simple database queries. Unfortunately, handling these ATOM requsts can be clumsy (especially given inconsistency in data between different result objects, even in the same query). This is where arxiv.py comes it: it constructs requests for arXiv and gets ATOM feeds via a simple handful of methods, and parses the results into an intuitive format. -WWW: https://pypi.org/project/arxiv/ WWW: https://github.com/lukasschwab/arxiv.py