%global __brp_check_rpaths %{nil} %global __requires_exclude ^libmpi %global packname MDSMap %global packver 1.3 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 1.3 Release: 1%{?dist}%{?buildtag} Summary: High Density Genetic Linkage Mapping using Multidimensional Scaling License: GPL-3 | file LICENSE URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel >= 3.2.0 Requires: R-core >= 3.2.0 BuildArch: noarch BuildRequires: R-CRAN-princurve >= 2.0.2 BuildRequires: R-CRAN-smacof >= 1.9.0 BuildRequires: R-CRAN-rgl BuildRequires: R-CRAN-reshape Requires: R-CRAN-princurve >= 2.0.2 Requires: R-CRAN-smacof >= 1.9.0 Requires: R-CRAN-rgl Requires: R-CRAN-reshape %description Estimate genetic linkage maps for markers on a single chromosome (or in a single linkage group) from pairwise recombination fractions or intermarker distances using weighted metric multidimensional scaling. The methods are suitable for autotetraploid as well as diploid populations. Options for assessing the fit to a known map are also provided. Methods are discussed in detail in Preedy and Hackett (2016) . %prep %setup -q -c -n %{packname} # fix end of executable files find -type f -executable -exec grep -Iq . {} \; -exec sed -i -e '$a\' {} \; # prevent binary stripping [ -d %{packname}/src ] && find %{packname}/src -type f -exec \ sed -i 's@/usr/bin/strip@/usr/bin/true@g' {} \; || true [ -d %{packname}/src ] && find %{packname}/src/Make* -type f -exec \ sed -i 's@-g0@@g' {} \; || true # don't allow local prefix in executable scripts find -type f -executable -exec sed -Ei 's@#!( )*/usr/local/bin@#!/usr/bin@g' {} \; %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 # remove buildroot from installed files find %{buildroot}%{rlibdir} -type f -exec sed -i "s@%{buildroot}@@g" {} \; %files %{rlibdir}/%{packname}