1
0
mirror of https://git.FreeBSD.org/ports.git synced 2024-11-18 00:10:04 +00:00

databases/R-cran-dtplyr: New port: Data Table Back-End for 'dplyr'

- Submitter becomes maintainer

Provides a data.table backend for 'dplyr'. The goal of 'dtplyr' is to allow you
to write 'dplyr' code that is automatically translated to the equivalent, but
usually much faster, data.table code.

WWW: https://dtplyr.tidyverse.org/

Differential Revision:	https://reviews.freebsd.org/D43735
This commit is contained in:
Einar Bjarni Halldórsson 2024-04-05 12:04:18 +01:00 committed by Nuno Teixeira
parent 10abd882d5
commit 340d72381d
4 changed files with 35 additions and 0 deletions

View File

@ -6,6 +6,7 @@
SUBDIR += R-cran-RSQLite
SUBDIR += R-cran-cachem
SUBDIR += R-cran-dbplyr
SUBDIR += R-cran-dtplyr
SUBDIR += R-cran-fastmap
SUBDIR += R-cran-sqldf
SUBDIR += WWWdb

View File

@ -0,0 +1,28 @@
PORTNAME= dtplyr
DISTVERSION= 1.3.1
CATEGORIES= databases
DISTNAME= ${PORTNAME}_${DISTVERSION}
MAINTAINER= einar@isnic.is
COMMENT= Data Table Back-End for 'dplyr'
WWW= https://dtplyr.tidyverse.org/
LICENSE= MIT
CRAN_DEPENDS= R-cran-cli>=3.4.0:devel/R-cran-cli \
R-cran-data.table>=1.13.0:devel/R-cran-data.table \
R-cran-dplyr>=1.1.0:math/R-cran-dplyr \
R-cran-glue>0:devel/R-cran-glue \
R-cran-lifecycle>0:devel/R-cran-lifecycle \
R-cran-rlang>=1.0.4:devel/R-cran-rlang \
R-cran-tibble>0:devel/R-cran-tibble \
R-cran-tidyselect>=1.2.0:devel/R-cran-tidyselect \
R-cran-vctrs>=0.4.1:devel/R-cran-vctrs
BUILD_DEPENDS= ${CRAN_DEPENDS}
RUN_DEPENDS= ${CRAN_DEPENDS}
TEST_DEPENDS= R-cran-testthat>0:devel/R-cran-testthat \
R-cran-tidyr>0:devel/R-cran-tidyr
USES= cran:auto-plist
.include <bsd.port.mk>

View File

@ -0,0 +1,3 @@
TIMESTAMP = 1706915299
SHA256 (dtplyr_1.3.1.tar.gz) = a5a9689a640b8bd1274519af220c33deaa3919654acac4ebdff1ff365cc8d6e5
SIZE (dtplyr_1.3.1.tar.gz) = 150971

View File

@ -0,0 +1,3 @@
Provides a data.table backend for 'dplyr'. The goal of 'dtplyr' is to allow you
to write 'dplyr' code that is automatically translated to the equivalent, but
usually much faster, data.table code.