Date: Sun, 3 Jan 2021 20:08:04 +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: r560134 - head/math/py-numexpr Message-ID: <202101032008.103K84d1004217@repo.freebsd.org>
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Author: sunpoet Date: Sun Jan 3 20:08:04 2021 New Revision: 560134 URL: https://svnweb.freebsd.org/changeset/ports/560134 Log: Update to 2.7.2 Changes: https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rst Modified: head/math/py-numexpr/Makefile head/math/py-numexpr/distinfo head/math/py-numexpr/pkg-descr Modified: head/math/py-numexpr/Makefile ============================================================================== --- head/math/py-numexpr/Makefile Sun Jan 3 20:07:59 2021 (r560133) +++ head/math/py-numexpr/Makefile Sun Jan 3 20:08:04 2021 (r560134) @@ -2,7 +2,7 @@ # $FreeBSD$ PORTNAME= numexpr -PORTVERSION= 2.7.1 +PORTVERSION= 2.7.2 CATEGORIES= math python MASTER_SITES= CHEESESHOP PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} Modified: head/math/py-numexpr/distinfo ============================================================================== --- head/math/py-numexpr/distinfo Sun Jan 3 20:07:59 2021 (r560133) +++ head/math/py-numexpr/distinfo Sun Jan 3 20:08:04 2021 (r560134) @@ -1,3 +1,3 @@ -TIMESTAMP = 1578319098 -SHA256 (numexpr-2.7.1.tar.gz) = b0d239d9827e1bcee08344fd05835823bc60aff97232e35a928214d03ff802b1 -SIZE (numexpr-2.7.1.tar.gz) = 99196 +TIMESTAMP = 1609598905 +SHA256 (numexpr-2.7.2.tar.gz) = 4cf5082f3e4f256ba4033ba31d0b95cacc7619babd09d7b5fb56b3036c8923aa +SIZE (numexpr-2.7.2.tar.gz) = 97785 Modified: head/math/py-numexpr/pkg-descr ============================================================================== --- head/math/py-numexpr/pkg-descr Sun Jan 3 20:07:59 2021 (r560133) +++ head/math/py-numexpr/pkg-descr Sun Jan 3 20:08:04 2021 (r560134) @@ -13,5 +13,4 @@ transcendental functions (like trigonometrical, expone Intel-compatible platforms. This support also allows to use multiple cores in your computations. -WWW: https://pypi.org/project/numexpr/ WWW: https://github.com/pydata/numexpr
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