File R-xegaPopulation.spec of Package R-xegaPopulation
# Automatically generated by CRAN2OBS
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# Spec file for package xegaPopulation
# This file is auto-generated using information in the package source,
# esp. Description and Summary. Improvements in that area should be
# discussed with upstream.
#
# Copyright (c) 2025 SUSE LINUX GmbH, Nuernberg, Germany.
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%global packname xegaPopulation
%global rlibdir %{_libdir}/R/library
Name: R-%{packname}
Version: 1.0.0.10
Release: 0
Summary: Genetic Population Level Functions
Group: Development/Libraries/Other
License: MIT + file LICENSE
URL: http://cran.r-project.org/web/packages/%{packname}
Source: xegaPopulation_1.0.0.10.tar.gz
Requires: R-base
Requires: R-future.apply
Requires: R-xegaGaGene
Requires: R-xegaSelectGene
Requires: R-future
Requires: R-globals
Requires: R-rlang
Requires: R-digest
Requires: R-listenv
Requires: R-parallelly
# %%if 0%%{?sle_version} > 120400 || 0%%{?is_opensuse}
# # Three others commonly needed
# BuildRequires: tex(ae.sty)
# BuildRequires: tex(fancyvrb.sty)
# BuildRequires: tex(inconsolata.sty)
# BuildRequires: tex(natbib.sty)
# %else
# BuildRequires: texlive
# %endif
# BuildRequires: texinfo
BuildRequires: fdupes
BuildRequires: R-base
BuildRequires: R-future.apply
BuildRequires: R-xegaGaGene
BuildRequires: R-xegaSelectGene
BuildRequires: R-future
BuildRequires: R-globals
BuildRequires: R-rlang
BuildRequires: R-digest
BuildRequires: R-listenv
BuildRequires: R-parallelly
Suggests: R-testthat
Suggests: R-future
Suggests: R-parallelly
%description
This collection of gene representation-independent functions implements
the population layer of extended evolutionary and genetic algorithms
and its support. The population layer consists of functions for
initializing, logging, observing, evaluating a population of genes, as
well as of computing the next population. For parallel evaluation of a
population of genes 4 execution models - named Sequential, MultiCore,
FutureApply, and Cluster - are provided. They are implemented by
configuring the lapply() function. The execution model FutureApply can
be externally configured as recommended by Bengtsson (2021)
<doi:10.32614/RJ-2021-048>. Configurable acceptance rules and cooling
schedules (see Kirkpatrick, S., Gelatt, C. D. J, and Vecchi, M. P.
(1983) <doi:10.1126/science.220.4598.671>, and Aarts, E., and Korst, J.
(1989, ISBN:0-471-92146-7) offer simulated annealing or greedy
randomized approximate search procedure elements. Adaptive crossover
and mutation rates depending on population statistics generalize the
approach of Stanhope, S. A. and Daida, J. M. (1996,
ISBN:0-18-201-031-7).
%prep
%setup -q -c -n %{packname}
# the next line is needed, because we build without --clean in between two packages
rm -rf ~/.R
%build
%install
mkdir -p %{buildroot}%{rlibdir}
%{_bindir}/R CMD INSTALL -l %{buildroot}%{rlibdir} %{packname}
test -d %{packname}/src && (cd %{packname}/src; rm -f *.o *.so)
rm -f %{buildroot}%{rlibdir}/R.css
%fdupes -s %{buildroot}%{rlibdir}
#%%check
#%%{_bindir}/R CMD check %%{packname}
%files
%dir %{rlibdir}/%{packname}
%doc %{rlibdir}/%{packname}/DESCRIPTION
%{rlibdir}/%{packname}/INDEX
%license %{rlibdir}/%{packname}/LICENSE
%{rlibdir}/%{packname}/Meta
%{rlibdir}/%{packname}/NAMESPACE
%doc %{rlibdir}/%{packname}/NEWS
%{rlibdir}/%{packname}/R
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%changelog
