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authorRicardo Wurmus <ricardo.wurmus@mdc-berlin.de>2019-02-15 15:42:29 +0100
committerRicardo Wurmus <rekado@elephly.net>2019-02-15 16:04:29 +0100
commitb3080cddadf268bbcef845af07c6b8e0357afae8 (patch)
treeb3a63c0115d3efa1da7ee15e17e3157a2a6d4103 /gnu
parent226294a4ade8b287bd6582cf594cc9cb62a6bfde (diff)
downloadpatches-b3080cddadf268bbcef845af07c6b8e0357afae8.tar
patches-b3080cddadf268bbcef845af07c6b8e0357afae8.tar.gz
gnu: Add r-future.
* gnu/packages/cran.scm (r-future): New variable.
Diffstat (limited to 'gnu')
-rw-r--r--gnu/packages/cran.scm32
1 files changed, 32 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm
index fbde319857..6c99e13a7a 100644
--- a/gnu/packages/cran.scm
+++ b/gnu/packages/cran.scm
@@ -10558,3 +10558,35 @@ conservative or liberal. The objective of this package is to make it as
simple as possible to identify global objects for the purpose of exporting
them in distributed compute environments.")
(license license:lgpl2.1+)))
+
+(define-public r-future
+ (package
+ (name "r-future")
+ (version "1.11.1.1")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "future" version))
+ (sha256
+ (base32
+ "1s4lyqg4mm1drzc6czaalmhmxfjgp4nznb14ql5xzny9rprgz43i"))))
+ (build-system r-build-system)
+ (propagated-inputs
+ `(("r-digest" ,r-digest)
+ ("r-globals" ,r-globals)
+ ("r-listenv" ,r-listenv)))
+ (native-inputs
+ `(("r-r-rsp" ,r-r-rsp))) ; vignette builder
+ (home-page "https://github.com/HenrikBengtsson/future")
+ (synopsis "Unified parallel and distributed processing in R")
+ (description
+ "The purpose of this package is to provide a lightweight and unified
+Future API for sequential and parallel processing of R expression via futures.
+This package implements sequential, multicore, multisession, and cluster
+futures. With these, R expressions can be evaluated on the local machine, in
+parallel a set of local machines, or distributed on a mix of local and remote
+machines. Extensions to this package implement additional backends for
+processing futures via compute cluster schedulers etc. Because of its unified
+API, there is no need to modify any code in order to switch from sequential on
+the local machine to, say, distributed processing on a remote compute cluster.")
+ (license license:lgpl2.1+)))