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

NAMEBASE=		R-doFuture
VERSION=		1.0.1
KEYWORDS=		cran
VARIANTS=		standard
SDESC[standard]=	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_1.0.1.tar.gz:main
DIST_SUBDIR=		CRAN
DF_INDEX=		1
SPKGS[standard]=	single

OPTIONS_AVAILABLE=	none
OPTIONS_STANDARD=	none

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

USES=			cran gmake

DISTNAME=		doFuture

GENERATED=		yes

INSTALL_REQ_TOOLCHAIN=	yes

[FILE:777: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. 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
<- 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 <- foreach(...)
%dopar% { ... }' runs in parallelizes with the 'future' framework.


[FILE:105:distinfo]
9511cc9eb68366c5275dc03f769bcdd7507f26a79dc702d7ae6f1016f62c7bab        59782 CRAN/doFuture_1.0.1.tar.gz