Date: Sun, 23 Apr 2023 12:00:52 GMT From: TAKATSU Tomonari <tota@FreeBSD.org> To: ports-committers@FreeBSD.org, dev-commits-ports-all@FreeBSD.org, dev-commits-ports-main@FreeBSD.org Subject: git: 9b30bebfb38d - main - math/R-cran-irlba: Update to 2.3.5.1 Message-ID: <202304231200.33NC0qIB045721@gitrepo.freebsd.org>
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The branch main has been updated by tota: URL: https://cgit.FreeBSD.org/ports/commit/?id=9b30bebfb38db266519d83aeb857f415a387d755 commit 9b30bebfb38db266519d83aeb857f415a387d755 Author: TAKATSU Tomonari <tota@FreeBSD.org> AuthorDate: 2023-04-23 02:53:20 +0000 Commit: TAKATSU Tomonari <tota@FreeBSD.org> CommitDate: 2023-04-23 11:58:48 +0000 math/R-cran-irlba: Update to 2.3.5.1 - Update to 2.3.5.1 - Update pkg-descr Reported by: pkg-fallout MFH: 2023Q2 --- math/R-cran-irlba/Makefile | 3 +-- math/R-cran-irlba/distinfo | 6 +++--- math/R-cran-irlba/pkg-descr | 5 +++-- 3 files changed, 7 insertions(+), 7 deletions(-) diff --git a/math/R-cran-irlba/Makefile b/math/R-cran-irlba/Makefile index 7cfca264419b..cfbac8000332 100644 --- a/math/R-cran-irlba/Makefile +++ b/math/R-cran-irlba/Makefile @@ -1,6 +1,5 @@ PORTNAME= irlba -PORTVERSION= 2.3.5 -PORTREVISION= 1 +PORTVERSION= 2.3.5.1 CATEGORIES= math DISTNAME= ${PORTNAME}_${PORTVERSION} diff --git a/math/R-cran-irlba/distinfo b/math/R-cran-irlba/distinfo index 9f321114c842..13732fd9a67e 100644 --- a/math/R-cran-irlba/distinfo +++ b/math/R-cran-irlba/distinfo @@ -1,3 +1,3 @@ -TIMESTAMP = 1638873363 -SHA256 (irlba_2.3.5.tar.gz) = 26fc8c0d36460e422ab77f43a597b8ec292eacd452628c54d34b8bf7d5269bb9 -SIZE (irlba_2.3.5.tar.gz) = 233388 +TIMESTAMP = 1682217904 +SHA256 (irlba_2.3.5.1.tar.gz) = 2cfe6384fef91c223a9920895ce89496f990d1450d731e44309fdbec2bb5c5cf +SIZE (irlba_2.3.5.1.tar.gz) = 233555 diff --git a/math/R-cran-irlba/pkg-descr b/math/R-cran-irlba/pkg-descr index e29a9edba353..94063de67b8e 100644 --- a/math/R-cran-irlba/pkg-descr +++ b/math/R-cran-irlba/pkg-descr @@ -1,2 +1,3 @@ -A fast and memory-efficient method for computing a few approximate -singular values and singular vectors of large matrices. +Fast and memory efficient methods for truncated singular value +decomposition and principal components analysis of large sparse and +dense matrices.
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