dev-R/parallelly: new package, add 1.32.0

Signed-off-by: Robert Greener <me@r0bert.dev>

dev-R/parallelly/Manifest

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+DIST parallelly_1.32.0.tar.gz 124712 BLAKE2B 658c57ff6a5505d882f8c76b9217d4374531f419ed763b40f777e22d1bc0e01dcb563556e6a211fd1020ca017e742842f68af09df7d55b0829c8f0cb956c61a4 SHA512 744bab15b6e8f071645d60549e8d661fea382ad9870e3c6b1c249c2552cc42a298edd8f9955647a30b36dbed4924f0d9fcbb5f0fc8cfdc9aed2ac9555b34a79c

dev-R/parallelly/metadata.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
+<pkgmetadata>
+	<maintainer type="person">
+		<email>me@r0bert.dev</email>
+		<name>Robert Greener</name>
+	</maintainer>
+	<longdescription lang="en">Utility functions that enhance the 'parallel' package and support the built-in parallel backends of the 'future' package. For example, availableCores() gives the number of CPU cores available to your R process as given by the operating system, 'cgroups' and Linux containers, R options, and environment variables, including those set by job schedulers on high-performance compute clusters. If none is set, it will fall back to parallel::detectCores(). Another example is makeClusterPSOCK(), which is backward compatible with parallel::makePSOCKcluster() while doing a better job in setting up remote cluster workers without the need for configuring the firewall to do port-forwarding to your local computer.</longdescription>
+	<upstream>
+		<maintainer>
+			<name>Henrik Bengtsson</name>
+			<email>henrikb@braju.com</email>
+		</maintainer>
+		<bugs-to>https://github.com/HenrikBengtsson/parallelly/issues</bugs-to>
+		<remote-id type="github">HenrikBengtsson/parallelly</remote-id>
+	</upstream>
+</pkgmetadata>

dev-R/parallelly/parallelly-1.32.0.ebuild

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+# Copyright 1999-2022 Gentoo Authors
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=7
+
+inherit R-packages edo
+
+DESCRIPTION="Enhancing the 'parallel' Package"
+KEYWORDS="~amd64"
+LICENSE='LGPL-2.1+'
+
+src_test() {
+	cd "${WORKDIR}/${P}/tests"
+	for i in *.R; do
+		R_LIBS="${T}/R" edo Rscript --vanilla $i
+	done
+}