%global __brp_check_rpaths %{nil} %global packname dataframeexplorer %global packver 1.0.2 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 1.0.2 Release: 1%{?dist}%{?buildtag} Summary: Familiarity with Dataframes Before Data Manipulation License: MIT + file LICENSE URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel >= 3.3.0 Requires: R-core >= 3.3.0 BuildArch: noarch BuildRequires: R-CRAN-tibble BuildRequires: R-CRAN-data.table BuildRequires: R-CRAN-magrittr BuildRequires: R-CRAN-openxlsx BuildRequires: R-CRAN-dplyr BuildRequires: R-CRAN-plyr BuildRequires: R-CRAN-tidyr BuildRequires: R-CRAN-stringr Requires: R-CRAN-tibble Requires: R-CRAN-data.table Requires: R-CRAN-magrittr Requires: R-CRAN-openxlsx Requires: R-CRAN-dplyr Requires: R-CRAN-plyr Requires: R-CRAN-tidyr Requires: R-CRAN-stringr %description Real life data is muddy, fuzzy and unpredictable. This makes data manipulations tedious and bringing the data to right shape alone is a major chunk of work. Functions in this package help us get an understanding of dataframes to dramatically reduces data coding time. %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}