Date: Fri, 26 Feb 2016 01:59:43 +0000 (UTC) From: Wen Heping <wen@FreeBSD.org> To: ports-committers@freebsd.org, svn-ports-all@freebsd.org, svn-ports-head@freebsd.org Subject: svn commit: r409572 - in head/devel: . py-tinyarray Message-ID: <201602260159.u1Q1xhJE071234@repo.freebsd.org>
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Author: wen Date: Fri Feb 26 01:59:43 2016 New Revision: 409572 URL: https://svnweb.freebsd.org/changeset/ports/409572 Log: Tinyarrays are similar to NumPy arrays, but optimized for small sizes. Common operations on very small arrays are to 3-7 times faster than with NumPy (with NumPy 1.6 it used to be up to 35 times), and 3 times less memory is used to store them. Tinyarrays are useful if you need many small arrays of numbers, and cannot combine them into a few large ones. (The resulting code is still much slower than C, but it may now be fast enough.) WWW: https://gitlab.kwant-project.org/kwant/tinyarray Added: head/devel/py-tinyarray/ head/devel/py-tinyarray/Makefile (contents, props changed) head/devel/py-tinyarray/distinfo (contents, props changed) head/devel/py-tinyarray/pkg-descr (contents, props changed) Modified: head/devel/Makefile Modified: head/devel/Makefile ============================================================================== --- head/devel/Makefile Fri Feb 26 01:14:17 2016 (r409571) +++ head/devel/Makefile Fri Feb 26 01:59:43 2016 (r409572) @@ -4395,6 +4395,7 @@ SUBDIR += py-tgMochiKit SUBDIR += py-thrift SUBDIR += py-timelib + SUBDIR += py-tinyarray SUBDIR += py-tipper SUBDIR += py-total-ordering SUBDIR += py-tox Added: head/devel/py-tinyarray/Makefile ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/devel/py-tinyarray/Makefile Fri Feb 26 01:59:43 2016 (r409572) @@ -0,0 +1,20 @@ +# Created by: Wen Heping<wenheping@gmail.com> +# $FreeBSD$ + +PORTNAME= tinyarray +PORTVERSION= 1.1.0 +CATEGORIES= devel python +MASTER_SITES= CHEESESHOP +PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} + +MAINTAINER= wen@FreeBSD.org +COMMENT= Arrays of numbers for Python, optimized for small sizes + +LICENSE= BSD2CLAUSE + +BUILD_DEPENDS= ${PYTHON_PKGNAMEPREFIX}nose>=0:${PORTSDIR}/devel/py-nose + +USES= python +USE_PYTHON= autoplist distutils + +.include <bsd.port.mk> Added: head/devel/py-tinyarray/distinfo ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/devel/py-tinyarray/distinfo Fri Feb 26 01:59:43 2016 (r409572) @@ -0,0 +1,2 @@ +SHA256 (tinyarray-1.1.0.tar.gz) = d8c9c5f69c5be8ac00713eea3e82cf9f57353f09e1713be18f689efe08515f38 +SIZE (tinyarray-1.1.0.tar.gz) = 31712 Added: head/devel/py-tinyarray/pkg-descr ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/devel/py-tinyarray/pkg-descr Fri Feb 26 01:59:43 2016 (r409572) @@ -0,0 +1,9 @@ +Tinyarrays are similar to NumPy arrays, but optimized for small +sizes. Common operations on very small arrays are to 3-7 times +faster than with NumPy (with NumPy 1.6 it used to be up to 35 +times), and 3 times less memory is used to store them. Tinyarrays +are useful if you need many small arrays of numbers, and cannot +combine them into a few large ones. (The resulting code is still +much slower than C, but it may now be fast enough.) + +WWW: https://gitlab.kwant-project.org/kwant/tinyarray
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