# Buildsheet autogenerated by ravenadm tool -- Do not edit.

NAMEBASE=		R-doFuture
VERSION=		1.1.2
KEYWORDS=		cran
VARIANTS=		std
SDESC[std]=		Foreach parallelize via Future network
HOMEPAGE=		https://doFuture.futureverse.org
CONTACT=		CRAN_Automaton[cran@ironwolf.systems]

DOWNLOAD_GROUPS=	main
SITES[main]=		CRAN/src/contrib
			https://loki.dragonflybsd.org/cranfiles/
DISTFILE[1]=		doFuture_1.1.2.tar.gz:main
DIST_SUBDIR=		CRAN
DF_INDEX=		1
SPKGS[std]=		single

OPTIONS_AVAILABLE=	none
OPTIONS_STANDARD=	none

BUILDRUN_DEPENDS=	R-foreach:single:std
			R-future:single:std
			R-future.apply:single:std
			R-globals:single:std
			R-iterators:single:std

USES=			cran gmake

DISTNAME=		doFuture

GENERATED=		yes

INSTALL_REQ_TOOLCHAIN=	yes

[FILE:877:descriptions/desc.single]
doFuture: Use Foreach to Parallelize via the Future Framework

The 'future' package provides a unifying parallelization framework for R
that supports many parallel and distributed backends &lt;<a
href="https://doi.org/10.32614%2FRJ-2021-048"
target="_top">doi:10.32614/RJ-2021-048</a>&gt;. The 'foreach' package
provides a powerful API for iterating over an R expression in parallel. The
'doFuture' package brings the best of the two together. There are two
alternative ways to use this package. The recommended approach is to use 'y
&lt;- foreach(...) %dofuture% { ... }', which does not require using
'registerDoFuture()' and has many advantages over '%dopar%'. The
alternative is the traditional 'foreach' approach by registering the
'foreach' adapter 'registerDoFuture()' and so that 'y &lt;- foreach(...)
%dopar% { ... }' runs in parallelizes with the 'future' framework.


[FILE:105:distinfo]
2aa6aca19a872d6001549316a0a9600200e1e68e7fa109e27531abc42f71c571        77196 CRAN/doFuture_1.1.2.tar.gz