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authorSunpoet Po-Chuan Hsieh <sunpoet@FreeBSD.org>2020-05-21 04:58:55 +0000
committerSunpoet Po-Chuan Hsieh <sunpoet@FreeBSD.org>2020-05-21 04:58:55 +0000
commit28adf3c767cae8e6f4b16b8c85659e03ccce047d (patch)
tree43ce836241ac74158545aee48394be1b67390073 /science/py-pyteomics
parent15d7f1e700e34d4c986e09d8331c5b482b4c1408 (diff)
downloadports-28adf3c767cae8e6f4b16b8c85659e03ccce047d.tar.gz
ports-28adf3c767cae8e6f4b16b8c85659e03ccce047d.zip
Update to 4.3.2
Notes
Notes: svn path=/head/; revision=536054
Diffstat (limited to 'science/py-pyteomics')
-rw-r--r--science/py-pyteomics/Makefile3
-rw-r--r--science/py-pyteomics/distinfo6
-rw-r--r--science/py-pyteomics/pkg-descr2
3 files changed, 5 insertions, 6 deletions
diff --git a/science/py-pyteomics/Makefile b/science/py-pyteomics/Makefile
index 8c224eeeee7f..adc8acf47b30 100644
--- a/science/py-pyteomics/Makefile
+++ b/science/py-pyteomics/Makefile
@@ -1,7 +1,7 @@
# $FreeBSD$
PORTNAME= pyteomics
-PORTVERSION= 4.2
+PORTVERSION= 4.3.2
CATEGORIES= science python
MASTER_SITES= CHEESESHOP
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
@@ -10,7 +10,6 @@ MAINTAINER= sunpoet@FreeBSD.org
COMMENT= Python modules for proteomics data analysis
LICENSE= APACHE20
-LICENSE_FILE= ${WRKSRC}/LICENSE
RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}lxml>=0:devel/py-lxml@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}matplotlib>=0:math/py-matplotlib@${PY_FLAVOR} \
diff --git a/science/py-pyteomics/distinfo b/science/py-pyteomics/distinfo
index 80eb53922516..52783f803a6a 100644
--- a/science/py-pyteomics/distinfo
+++ b/science/py-pyteomics/distinfo
@@ -1,3 +1,3 @@
-TIMESTAMP = 1582975683
-SHA256 (pyteomics-4.2.tar.gz) = e4762659520b518df0d75e9fc2a1a011315fd0835ec501ae81583275d340ef1d
-SIZE (pyteomics-4.2.tar.gz) = 217033
+TIMESTAMP = 1589997748
+SHA256 (pyteomics-4.3.2.tar.gz) = b3a9590869ef990cc9f5d4f2bb3af877213c3da49ddbb0370e170b45535d9b40
+SIZE (pyteomics-4.3.2.tar.gz) = 153765
diff --git a/science/py-pyteomics/pkg-descr b/science/py-pyteomics/pkg-descr
index c4394682ff86..6645cd4a8bec 100644
--- a/science/py-pyteomics/pkg-descr
+++ b/science/py-pyteomics/pkg-descr
@@ -19,4 +19,4 @@ popular in scientific programming. The main applications of the library are
reproducible statistical data analysis and rapid software prototyping.
WWW: https://pyteomics.readthedocs.io/
-WWW: https://bitbucket.org/levitsky/pyteomics
+WWW: https://github.com/levitsky/pyteomics