%global __brp_check_rpaths %{nil} %global __requires_exclude ^libmpi %global packname nngeo %global packver 0.4.8 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 0.4.8 Release: 1%{?dist}%{?buildtag} Summary: k-Nearest Neighbor Join for Spatial Data License: MIT + file LICENSE URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel >= 3.5.0 Requires: R-core >= 3.5.0 BuildRequires: R-CRAN-sf >= 0.6 BuildRequires: R-CRAN-nabor BuildRequires: R-CRAN-units BuildRequires: R-methods BuildRequires: R-parallel BuildRequires: R-CRAN-data.table Requires: R-CRAN-sf >= 0.6 Requires: R-CRAN-nabor Requires: R-CRAN-units Requires: R-methods Requires: R-parallel Requires: R-CRAN-data.table %description K-nearest neighbor search for projected and non-projected 'sf' spatial layers. Nearest neighbor search uses (1) C code from 'GeographicLib' for lon-lat point layers, (2) function knn() from package 'nabor' for projected point layers, or (3) function st_distance() from package 'sf' for line or polygon layers. The package also includes several other utility functions for spatial analysis. %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}