%global __brp_check_rpaths %{nil}
%global packname  SeqNet
%global packver   1.1.3
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          1.1.3
Release:          1%{?dist}%{?buildtag}
Summary:          Generate RNA-Seq Data from Gene-Gene Association Networks

License:          GPL-2 | GPL-3
URL:              https://cran.r-project.org/package=%{packname}
Source0:          %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz


BuildRequires:    R-devel >= 4.0.0
Requires:         R-core >= 4.0.0
BuildRequires:    R-CRAN-fitdistrplus 
BuildRequires:    R-CRAN-ggplot2 
BuildRequires:    R-grDevices 
BuildRequires:    R-graphics 
BuildRequires:    R-CRAN-igraph 
BuildRequires:    R-CRAN-mvtnorm 
BuildRequires:    R-CRAN-purrr 
BuildRequires:    R-CRAN-tibble 
BuildRequires:    R-CRAN-Rcpp 
BuildRequires:    R-CRAN-rlang 
BuildRequires:    R-CRAN-Rdpack 
BuildRequires:    R-stats 
BuildRequires:    R-utils 
BuildRequires:    R-methods 
Requires:         R-CRAN-fitdistrplus 
Requires:         R-CRAN-ggplot2 
Requires:         R-grDevices 
Requires:         R-graphics 
Requires:         R-CRAN-igraph 
Requires:         R-CRAN-mvtnorm 
Requires:         R-CRAN-purrr 
Requires:         R-CRAN-tibble 
Requires:         R-CRAN-Rcpp 
Requires:         R-CRAN-rlang 
Requires:         R-CRAN-Rdpack 
Requires:         R-stats 
Requires:         R-utils 
Requires:         R-methods 

%description
Methods to generate random gene-gene association networks and simulate
RNA-seq data from them, as described in Grimes and Datta (2021)
<doi:10.18637/jss.v098.i12>. Includes functions to generate random
networks of any size and perturb them to obtain differential networks.
Network objects are built from individual, overlapping modules that
represent pathways. The resulting network has various topological
properties that are characteristic of gene regulatory networks. RNA-seq
data can be generated such that the association among gene expression
profiles reflect the underlying network. A reference RNA-seq dataset can
be provided to model realistic marginal distributions. Plotting functions
are available to visualize a network, compare two networks, and compare
the expression of two genes across multiple networks.

%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}