%global __brp_check_rpaths %{nil} %global __requires_exclude ^libmpi %global packname oppr %global packver 1.0.5 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 1.0.5 Release: 1%{?dist}%{?buildtag} Summary: Optimal Project Prioritization License: GPL-3 URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel >= 3.4.0 Requires: R-core >= 3.4.0 BuildRequires: R-CRAN-lpSolveAPI >= 5.5.2.0.17 BuildRequires: R-CRAN-ape >= 5.2 BuildRequires: R-CRAN-ggplot2 >= 3.5.0 BuildRequires: R-CRAN-withr >= 2.4.1 BuildRequires: R-CRAN-tibble >= 2.0.0 BuildRequires: R-CRAN-magrittr >= 1.5 BuildRequires: R-CRAN-rlang >= 1.1.3 BuildRequires: R-CRAN-cli >= 1.0.1 BuildRequires: R-CRAN-proto >= 1.0.0 BuildRequires: R-CRAN-RcppArmadillo >= 0.9.100.5.0 BuildRequires: R-CRAN-RcppProgress >= 0.4.1 BuildRequires: R-CRAN-tidytree >= 0.3.3 BuildRequires: R-CRAN-viridisLite >= 0.3.0 BuildRequires: R-CRAN-assertthat >= 0.2.0 BuildRequires: R-CRAN-Rcpp >= 0.12.19 BuildRequires: R-CRAN-uuid >= 0.1.2 BuildRequires: R-utils BuildRequires: R-methods BuildRequires: R-stats BuildRequires: R-CRAN-Matrix Requires: R-CRAN-lpSolveAPI >= 5.5.2.0.17 Requires: R-CRAN-ape >= 5.2 Requires: R-CRAN-ggplot2 >= 3.5.0 Requires: R-CRAN-withr >= 2.4.1 Requires: R-CRAN-tibble >= 2.0.0 Requires: R-CRAN-magrittr >= 1.5 Requires: R-CRAN-rlang >= 1.1.3 Requires: R-CRAN-cli >= 1.0.1 Requires: R-CRAN-proto >= 1.0.0 Requires: R-CRAN-tidytree >= 0.3.3 Requires: R-CRAN-viridisLite >= 0.3.0 Requires: R-CRAN-assertthat >= 0.2.0 Requires: R-CRAN-uuid >= 0.1.2 Requires: R-utils Requires: R-methods Requires: R-stats Requires: R-CRAN-Matrix %description A decision support tool for prioritizing conservation projects. Prioritizations can be developed by maximizing expected feature richness, expected phylogenetic diversity, the number of features that meet persistence targets, or identifying a set of projects that meet persistence targets for minimal cost. Constraints (e.g. lock in specific actions) and feature weights can also be specified to further customize prioritizations. After defining a project prioritization problem, solutions can be obtained using exact algorithms, heuristic algorithms, or random processes. In particular, it is recommended to install the 'Gurobi' optimizer (available from ) because it can identify optimal solutions very quickly. Finally, methods are provided for comparing different prioritizations and evaluating their benefits. For more information, see Hanson et al. (2019) . %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}