%global packname  fxtract
%global packver   0.9.4
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.9.4
Release:          3%{?dist}
Summary:          Feature Extraction from Grouped Data

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


BuildRequires:    R-devel >= 3.4.0
Requires:         R-core >= 3.4.0
BuildArch:        noarch
BuildRequires:    R-CRAN-dplyr 
BuildRequires:    R-CRAN-magrittr 
BuildRequires:    R-CRAN-checkmate 
BuildRequires:    R-CRAN-data.table 
BuildRequires:    R-CRAN-future.apply 
BuildRequires:    R-CRAN-R6 
Requires:         R-CRAN-dplyr 
Requires:         R-CRAN-magrittr 
Requires:         R-CRAN-checkmate 
Requires:         R-CRAN-data.table 
Requires:         R-CRAN-future.apply 
Requires:         R-CRAN-R6 

%description
An R6 implementation for calculating features from grouped data. The
output will be one row for each group. This functionality is often needed
in the feature extraction process of machine learning problems. Very large
datasets are supported, since data is only read into RAM when needed.
Calculation can be done in parallel and the process can be monitored.
Global error handling is supported. Results are available in one final
dataframe.

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

find -type f -executable -exec grep -Iq . {} \; -exec sed -i -e '$a\' {} \;

%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
%dir %{rlibdir}/%{packname}
%doc %{rlibdir}/%{packname}/html
%{rlibdir}/%{packname}/Meta
%{rlibdir}/%{packname}/help
%{rlibdir}/%{packname}/data
%{rlibdir}/%{packname}/DESCRIPTION
%license %{rlibdir}/%{packname}/LICENSE
%{rlibdir}/%{packname}/NAMESPACE
%doc %{rlibdir}/%{packname}/NEWS.md
%{rlibdir}/%{packname}/R
%doc %{rlibdir}/%{packname}/doc
%{rlibdir}/%{packname}/INDEX