%global __brp_check_rpaths %{nil} %global __requires_exclude ^libmpi %global packname biglasso %global packver 1.5.2 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 1.5.2 Release: 1%{?dist}%{?buildtag} Summary: Extending Lasso Model Fitting to Big Data License: GPL-3 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 BuildRequires: R-CRAN-bigmemory >= 4.5.0 BuildRequires: R-CRAN-RcppArmadillo >= 0.8.600 BuildRequires: R-CRAN-Rcpp >= 0.12.1 BuildRequires: R-CRAN-Matrix BuildRequires: R-CRAN-ncvreg BuildRequires: R-methods BuildRequires: R-CRAN-BH Requires: R-CRAN-bigmemory >= 4.5.0 Requires: R-CRAN-Rcpp >= 0.12.1 Requires: R-CRAN-Matrix Requires: R-CRAN-ncvreg Requires: R-methods %description Extend lasso and elastic-net model fitting for ultra high-dimensional, multi-gigabyte data sets that cannot be loaded into memory. Designed to be more memory- and computation-efficient than existing lasso-fitting packages like 'glmnet' and 'ncvreg', thus allowing the user to analyze big data analysis even on an ordinary laptop. %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}