%global __brp_check_rpaths %{nil} %global __requires_exclude ^libmpi %global packname sindyr %global packver 0.2.4 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 0.2.4 Release: 1%{?dist}%{?buildtag} Summary: Sparse Identification of Nonlinear Dynamics License: GPL (>= 2) URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel >= 3.4 Requires: R-core >= 3.4 BuildArch: noarch BuildRequires: R-CRAN-arrangements BuildRequires: R-CRAN-matrixStats BuildRequires: R-CRAN-igraph BuildRequires: R-graphics BuildRequires: R-grDevices BuildRequires: R-CRAN-pracma Requires: R-CRAN-arrangements Requires: R-CRAN-matrixStats Requires: R-CRAN-igraph Requires: R-graphics Requires: R-grDevices Requires: R-CRAN-pracma %description This implements the Brunton et al (2016; PNAS ) sparse identification algorithm for finding ordinary differential equations for a measured system from raw data (SINDy). The package includes a set of additional tools for working with raw data, with an emphasis on cognitive science applications (Dale and Bhat, 2018 ). See for examples and updates. %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}