%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname diffval
%global packver 1.1.0
%global rlibdir /usr/local/lib/R/library
Name: R-CRAN-%{packname}
Version: 1.1.0
Release: 1%{?dist}%{?buildtag}
Summary: Vegetation Patterns
License: GPL (>= 3)
URL: https://cran.r-project.org/package=%{packname}
Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz
BuildRequires: R-devel >= 2.10
Requires: R-core >= 2.10
BuildArch: noarch
BuildRequires: R-graphics
BuildRequires: R-parallel
BuildRequires: R-stats
Requires: R-graphics
Requires: R-parallel
Requires: R-stats
%description
Find, visualize and explore patterns of differential taxa in vegetation
data (namely in a phytosociological table), using the Differential Value
(DiffVal). Patterns are searched through mathematical optimization
algorithms. Ultimately, Total Differential Value (TDV) optimization aims
at obtaining classifications of vegetation data based on differential
taxa, as in the traditional geobotanical approach. The Gurobi optimizer,
as well as the R package 'gurobi', can be installed from
. The useful vignette
Gurobi Installation Guide, from package 'prioritizr', can be found here:
.
%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}