Date: Sun, 9 Jun 2019 16:52:36 +0000 (UTC) From: Sunpoet Po-Chuan Hsieh <sunpoet@FreeBSD.org> To: ports-committers@freebsd.org, svn-ports-all@freebsd.org, svn-ports-head@freebsd.org Subject: svn commit: r503837 - head/science/py-pyteomics Message-ID: <201906091652.x59Gqaj0078714@repo.freebsd.org>
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Author: sunpoet Date: Sun Jun 9 16:52:36 2019 New Revision: 503837 URL: https://svnweb.freebsd.org/changeset/ports/503837 Log: Update to 4.1.2 Changes: https://bitbucket.org/levitsky/pyteomics/src/default/CHANGELOG https://pyteomics.readthedocs.io/en/latest/changelog.html Modified: head/science/py-pyteomics/Makefile head/science/py-pyteomics/distinfo head/science/py-pyteomics/pkg-descr Modified: head/science/py-pyteomics/Makefile ============================================================================== --- head/science/py-pyteomics/Makefile Sun Jun 9 16:52:30 2019 (r503836) +++ head/science/py-pyteomics/Makefile Sun Jun 9 16:52:36 2019 (r503837) @@ -1,7 +1,7 @@ # $FreeBSD$ PORTNAME= pyteomics -PORTVERSION= 4.1.1 +PORTVERSION= 4.1.2 CATEGORIES= science python MASTER_SITES= CHEESESHOP PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} Modified: head/science/py-pyteomics/distinfo ============================================================================== --- head/science/py-pyteomics/distinfo Sun Jun 9 16:52:30 2019 (r503836) +++ head/science/py-pyteomics/distinfo Sun Jun 9 16:52:36 2019 (r503837) @@ -1,3 +1,3 @@ -TIMESTAMP = 1558782904 -SHA256 (pyteomics-4.1.1.tar.gz) = 384e4e5eabdbfec39d7c38369278e386a074c7066f33052d7c313af40f1aa45e -SIZE (pyteomics-4.1.1.tar.gz) = 216204 +TIMESTAMP = 1560090919 +SHA256 (pyteomics-4.1.2.tar.gz) = 8eef7f325bb818fe403e3c0859b36eecd22efbd4012d7610f51479d88ced72a2 +SIZE (pyteomics-4.1.2.tar.gz) = 216304 Modified: head/science/py-pyteomics/pkg-descr ============================================================================== --- head/science/py-pyteomics/pkg-descr Sun Jun 9 16:52:30 2019 (r503836) +++ head/science/py-pyteomics/pkg-descr Sun Jun 9 16:52:36 2019 (r503837) @@ -19,3 +19,4 @@ popular in scientific programming. The main applicatio reproducible statistical data analysis and rapid software prototyping. WWW: https://pyteomics.readthedocs.io/ +WWW: https://bitbucket.org/levitsky/pyteomics
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