%global __brp_check_rpaths %{nil} %global __requires_exclude ^libmpi %global packname KODAMA %global packver 2.4.1 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 2.4.1 Release: 1%{?dist}%{?buildtag} Summary: Knowledge Discovery by Accuracy Maximization License: GPL (>= 2) URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel >= 2.10.0 Requires: R-core >= 2.10.0 BuildRequires: R-CRAN-Rcpp >= 0.12.4 BuildRequires: R-stats BuildRequires: R-CRAN-minerva BuildRequires: R-CRAN-Rtsne BuildRequires: R-CRAN-umap BuildRequires: R-CRAN-RcppArmadillo Requires: R-CRAN-Rcpp >= 0.12.4 Requires: R-stats Requires: R-CRAN-minerva Requires: R-CRAN-Rtsne Requires: R-CRAN-umap %description An unsupervised and semi-supervised learning algorithm that performs feature extraction from noisy and high-dimensional data. It facilitates identification of patterns representing underlying groups on all samples in a data set. Based on Cacciatore S, Tenori L, Luchinat C, Bennett PR, MacIntyre DA. (2017) Bioinformatics and Cacciatore S, Luchinat C, Tenori L. (2014) Proc Natl Acad Sci USA . %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}