%global __brp_check_rpaths %{nil}
%global packname  deep
%global packver   0.1.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.1.0
Release:          3%{?dist}%{?buildtag}
Summary:          A Neural Networks Framework

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


BuildRequires:    R-devel
Requires:         R-core
BuildArch:        noarch
BuildRequires:    R-methods 
Requires:         R-methods 

%description
Explore neural networks in a layer oriented way, the framework is intended
to give the user total control of the internals of a net without much
effort. Use classes like PerceptronLayer to create a layer of Percetron
neurons, and specify how many you want. The package does all the tricky
stuff internally leaving you focused in what you want. I wrote this
package during a neural networks course to help me with the problem set.

%prep
%setup -q -c -n %{packname}


%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

%files
%{rlibdir}/%{packname}