%global __brp_check_rpaths %{nil} %global __requires_exclude ^libmpi %global packname shinyHugePlot %global packver 0.3.0 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 0.3.0 Release: 1%{?dist}%{?buildtag} Summary: Efficient Plotting of Large-Sized Data License: MIT + file LICENSE URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel >= 4.2.0 Requires: R-core >= 4.2.0 BuildArch: noarch BuildRequires: R-CRAN-plotly >= 4.10.0 BuildRequires: R-CRAN-bit64 >= 4.0.5 BuildRequires: R-CRAN-tibble >= 3.1.7 BuildRequires: R-CRAN-R6 >= 2.5.1 BuildRequires: R-CRAN-shinyjs >= 2.1.0 BuildRequires: R-CRAN-jsonlite >= 1.8.0 BuildRequires: R-CRAN-shiny >= 1.7.1 BuildRequires: R-CRAN-stringr >= 1.4.0 BuildRequires: R-CRAN-DBI >= 1.2.2 BuildRequires: R-CRAN-tidyr >= 1.2.0 BuildRequires: R-CRAN-data.table >= 1.14.2 BuildRequires: R-CRAN-tidyselect >= 1.1.2 BuildRequires: R-CRAN-dplyr >= 1.0.9 BuildRequires: R-CRAN-rlang >= 1.0.5 BuildRequires: R-CRAN-duckdb >= 1.0.0 BuildRequires: R-CRAN-htmltools >= 0.5.2 BuildRequires: R-CRAN-nanotime >= 0.3.6 BuildRequires: R-CRAN-purrr >= 0.3.4 BuildRequires: R-CRAN-lazyeval >= 0.2.2 BuildRequires: R-CRAN-assertthat >= 0.2.1 Requires: R-CRAN-plotly >= 4.10.0 Requires: R-CRAN-bit64 >= 4.0.5 Requires: R-CRAN-tibble >= 3.1.7 Requires: R-CRAN-R6 >= 2.5.1 Requires: R-CRAN-shinyjs >= 2.1.0 Requires: R-CRAN-jsonlite >= 1.8.0 Requires: R-CRAN-shiny >= 1.7.1 Requires: R-CRAN-stringr >= 1.4.0 Requires: R-CRAN-DBI >= 1.2.2 Requires: R-CRAN-tidyr >= 1.2.0 Requires: R-CRAN-data.table >= 1.14.2 Requires: R-CRAN-tidyselect >= 1.1.2 Requires: R-CRAN-dplyr >= 1.0.9 Requires: R-CRAN-rlang >= 1.0.5 Requires: R-CRAN-duckdb >= 1.0.0 Requires: R-CRAN-htmltools >= 0.5.2 Requires: R-CRAN-nanotime >= 0.3.6 Requires: R-CRAN-purrr >= 0.3.4 Requires: R-CRAN-lazyeval >= 0.2.2 Requires: R-CRAN-assertthat >= 0.2.1 %description A tool to plot data with a large sample size using 'shiny' and 'plotly'. Relatively small samples are obtained from the original data using a specific algorithm. The samples are updated according to a user-defined x range. Jonas Van Der Donckt, Jeroen Van Der Donckt, Emiel Deprost (2022) . %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}