%global __brp_check_rpaths %{nil}
%global packname  mildsvm
%global packver   0.4.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.4.0
Release:          1%{?dist}%{?buildtag}
Summary:          Multiple-Instance Learning with Support Vector Machines

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
BuildArch:        noarch
BuildRequires:    R-CRAN-dplyr 
BuildRequires:    R-CRAN-e1071 
BuildRequires:    R-CRAN-kernlab 
BuildRequires:    R-CRAN-magrittr 
BuildRequires:    R-CRAN-mvtnorm 
BuildRequires:    R-CRAN-pillar 
BuildRequires:    R-CRAN-pROC 
BuildRequires:    R-CRAN-purrr 
BuildRequires:    R-CRAN-rlang 
BuildRequires:    R-stats 
BuildRequires:    R-CRAN-tibble 
BuildRequires:    R-CRAN-tidyr 
BuildRequires:    R-utils 
Requires:         R-CRAN-dplyr 
Requires:         R-CRAN-e1071 
Requires:         R-CRAN-kernlab 
Requires:         R-CRAN-magrittr 
Requires:         R-CRAN-mvtnorm 
Requires:         R-CRAN-pillar 
Requires:         R-CRAN-pROC 
Requires:         R-CRAN-purrr 
Requires:         R-CRAN-rlang 
Requires:         R-stats 
Requires:         R-CRAN-tibble 
Requires:         R-CRAN-tidyr 
Requires:         R-utils 

%description
Weakly supervised (WS), multiple instance (MI) data lives in numerous
interesting applications such as drug discovery, object detection, and
tumor prediction on whole slide images. The 'mildsvm' package provides an
easy way to learn from this data by training Support Vector Machine
(SVM)-based classifiers. It also contains helpful functions for building
and printing multiple instance data frames. The core methods from
'mildsvm' come from the following references: Kent and Yu (2022)
<arXiv:2206.14704>; Xiao, Liu, and Hao (2018)
<doi:10.1109/TNNLS.2017.2766164>; Muandet et al. (2012)
<https://proceedings.neurips.cc/paper/2012/file/9bf31c7ff062936a96d3c8bd1f8f2ff3-Paper.pdf>;
Chu and Keerthi (2007) <doi:10.1162/neco.2007.19.3.792>; and Andrews et
al. (2003)
<https://papers.nips.cc/paper/2232-support-vector-machines-for-multiple-instance-learning.pdf>.
Many functions use the 'Gurobi' optimization back-end to improve the
optimization problem speed; the 'gurobi' R package and associated software
can be downloaded from <https://www.gurobi.com> after obtaining a license.

%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}