%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  sysAgNPs
%global packver   1.0.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          1.0.0
Release:          1%{?dist}%{?buildtag}
Summary:          Systematic Quantification of AgNPs to Unleash their Potential for Applicability

License:          GPL (>= 3)
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-expm 
BuildRequires:    R-CRAN-ggplot2 
BuildRequires:    R-CRAN-ggpubr 
BuildRequires:    R-CRAN-magrittr 
BuildRequires:    R-CRAN-patchwork 
BuildRequires:    R-CRAN-purrr 
BuildRequires:    R-CRAN-rio 
BuildRequires:    R-CRAN-tibble 
BuildRequires:    R-CRAN-tidyr 
BuildRequires:    R-CRAN-rlang 
BuildRequires:    R-CRAN-RColorBrewer 
BuildRequires:    R-CRAN-forcats 
BuildRequires:    R-stats 
Requires:         R-CRAN-dplyr 
Requires:         R-CRAN-expm 
Requires:         R-CRAN-ggplot2 
Requires:         R-CRAN-ggpubr 
Requires:         R-CRAN-magrittr 
Requires:         R-CRAN-patchwork 
Requires:         R-CRAN-purrr 
Requires:         R-CRAN-rio 
Requires:         R-CRAN-tibble 
Requires:         R-CRAN-tidyr 
Requires:         R-CRAN-rlang 
Requires:         R-CRAN-RColorBrewer 
Requires:         R-CRAN-forcats 
Requires:         R-stats 

%description
There is variation across AgNPs due to differences in characterization
techniques and testing metrics employed in studies. To address this
problem, we have developed a systematic evaluation framework called
'sysAgNPs'. Within this framework, Distribution Entropy (DE) is utilized
to measure the uncertainty of feature categories of AgNPs, Proclivity
Entropy (PE) assesses the preference of these categories, and Combination
Entropy (CE) quantifies the uncertainty of feature combinations of AgNPs.
Additionally, a Markov chain model is employed to examine the
relationships among the sub-features of AgNPs and to determine a
Transition Score (TS) scoring standard that is based on steady-state
probabilities. The 'sysAgNPs' framework provides metrics for evaluating
AgNPs, which helps to unravel their complexity and facilitates effective
comparisons among different AgNPs, thereby advancing the scientific
research and application of these AgNPs.

%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}